Justin Wolfers, professor of Economics and Public Policy at the University of Michigan, re-joins Brookings, Vice President and Economic Studies Co-Director Karen Dynan announced today.  Wolfers was a visiting fellow from 2010-2011.

A world-renowned empirical economist, Wolfers will continue in his role as co-editor, along with David Romer of the University of California, of the Brookings Papers on Economic Activity (BPEA), the flagship economic journal of the Institution.  He will continue his focus on labor economics, macroeconomics, political economy, economics of the family, social policy, law and economics, public economics, and behavioral economics. His appointment as senior fellow will last 13 months.

Wolfers is also a research associate with the National Bureau for Economic Research, a research affiliate of the Centre for Economic Policy Research in London, a research fellow of the German Institute for the Study of Labor, and a senior scientist for Gallup, among other affiliations. He is a contributor for Bloomberg View, NPR Marketplace, and the Freakonomics website and was named one of the 13 top young economists to watch by the New York Times.  Wolfers did his undergraduate work at the University of Sydney, Australia and received his Master’s and Ph.D. in Economics from Harvard University.  He is a dual Australian-U.S. national and was once an apprentice to a bookie which led to his interest in prediction markets. 

“We are pleased to re-welcome Justin back to Economic Studies,” said Dynan. “His work continues to challenge the conventional wisdom, and we look forward to collaborating with him once again.” 

“Justin is outstanding at communicating economic ideas to a wide audience, as evidenced by his regular writings for media as well as his large social media presence,” added Ted Gayer, co-director of Economic Studies.

“I have enormous affection for the Brookings Institution, which provides not only a home for deep scholarly research, but also an unmatched platform for engaging the policy debate,” said Wolfers.  “The Economic Studies program has a rich history of being the go-to place for policymakers, and I look forward to coming back and engaging in debate with my colleagues there.”

       

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Editor’s note: In a presentation to the 2011 International Conference on Early Childhood Development in Beijing, China, Jacques van der Gaag makes the economic case for investing in young children. He references the seminal works by several Nobel laureates in economics to demonstrate how development hinges on investments in early childhood, including health, nutrition, and education.

Thank you for inviting me to the 2011 International Conference on Early Childhood Development. I am very grateful to the organizers from the China Development Research Foundation for giving me a chance to make the economic case for investing in young children. While I have been giving these types of presentations for more than two decades in over a dozen countries worldwide, I prefer to have some back-up from a number of serious economists who, over time, have made major contributions to a key finding in development economics: countries prosper if they invest in their people, and the well-being of all people improves in a prosperous country that values equality.

To begin with, I would like to introduce my fellow countryman Jan Tinbergen, who received the first Nobel Prize in Economics, in 1969, for his work on economic development. Being a physicist by training, he pioneered the use of mathematical models to mimic the working of a country’s economy. The equations he used to formulate these models will probably look very foreign to you, but the important point I want to make is that these early models already included people, in the form of labor. People were seen as an input in the production process. Since there was an abundance of people in the developing world, and a shortage of capital, the development process, it was argued, could be sped up by providing more capital to low income countries to invest in infrastructure, factories, and other forms of physical capital. And to invest in human capital -- people. The economy needs all forms of human capital, from unskilled labor to highly skilled labor, and therefore investment in people, through education, was considered an integrated part of the development process.

Another well-known economist (Theodore W. Schulz, Nobel prize 1979) emphasized an important difference between physical capital and human capital: people respond to incentives. Thus, when food prices are being kept artificially low (to allow wages in the cities to stay low), farmers may decide that it is no longer worth their while to produce food, and they may migrate to the cities to work in the new factories. In other words, it is important to invest in human capital to stimulate the economy, but the broad preferences of the (working) population should not be overlooked.
 
Robert W. Fogel (Nobel laureate in 1993) underscored the role of workers in the production process by emphasizing the importance of health and nutrition to enhance productivity. Indeed, he calculated that about half of the speedy growth of the British economy during the Industrial Revolution was the result of better health and nutrition conditions of the working population. In turn, of course, the economic growth made the improvements in sanitation and the increased availability of (better) food possible.

A major breakthrough in the thinking about development (note that I am no longer saying “economic development”) came with the work of Amartya Sen (Nobel prize winner in 1998). His work has led to a re-definition of the development process from one that focuses solely on economic growth to one in which the fruits of economic growth benefits the population in terms of higher literacy rates and education levels, better health and nutrition, higher levels of social cohesion and social skills, and more equality. These four broad dimensions of well-being, together with economic growth, are now the building blocks of the Human Development Index. Indeed, human development, as currently understood, has been further specified in the Millennium Development Goals that drive today’s development discussion and policies in every corner of the world.

Before I finish my very brief (and very selective) history of development economics, allow me to mention the work of one more Nobel laureate in economics: Jim Heckman (2000). Heckman understands, of course, the importance of investing in people to increase a country’s human capital. But he also understands both the economics of early childhood development (ECD) and its scientific underpinnings. In recent work, he has extensively referred to the scientific basis that shows the causal link between deprivations early in life and education, social and health outcomes later in life. His economic work on ECD confirms what others have been saying for decades: The highest economic returns to investments in people come from the investments that occur in the early years of life.  

In sum, with an increased understanding of the basic development process, in which people are both the driving force for development and its main beneficiaries, the importance of investing in very young children is now seen as a key factor in the broad human development process of a country.
Taking care of very young children has long been on the development agenda. Immunization programs have been pushed to improve the health status of young children, nutrition programs have been implemented to prevent malnutrition and hunger, schooling has been emphasized as important for prosperity later in life, and as a possible “equalizer” of society. What the recent literature on brain development, on the interaction of genes and the environment, on the importance of cognitive and non-cognitive skill development (“social skills”), and on the link between early deprivations and a variety of problems later in life (from health problems to increased delinquency) has added to these efforts, is a better understanding of the long-term economic implications of these interventions.
 
Simply stated, economists look at investments in human capital as a means to increase lifelong “productivity”. The easiest way to measure differences in productivity is by comparing differences in wage rates (in well functioning labor markets) among workers with different levels of education (skills). Higher levels of education (more and better skills) lead to higher productivity, and this advantage can be maintained during one’s entire (working) life. Of course, not everyone works for wages, but similar results (more educated workers are more productive) have been found in agriculture and other forms of self-employment. Indeed, even the productivity of people who do not work in the labor market can be improved by education. Case in point: women who finished secondary education are much better equipped to address the health and nutrition needs of their children than illiterate mothers (and they have fewer children and make sure that these children go to school).

When economist do the numbers, solely based on increased productivity in the labor market, the economic returns to ECD are impressive (see slides 21 and 22). Integrated ECD programs reduce infant and child mortality, increase children’s nutritional and health status, increase on-time school enrollment, decrease drop-out and repetition rates, and increase progression to higher levels of education. All this leads to a more productive labor force. The economic returns from these ECD benefits alone are estimated to be in the 7 percent to 12 percent range, with some estimates being much higher. When ECD interventions are properly seen as investments in the human development of a country, the benefits are very large indeed.
 
Chances are that you were a little surprised to get a lecture on the “the history of development economics” at a conference about early childhood development. But the organizers asked me to make the economic case for investing in young children. I decided that I could do this as forcefully as possible by invoking the help of no fewer than five Nobel laureates in economics. Development is now understood as a process by people for people. All the evidence shows that investment in the health, in nutrition, and in cognitive and non-cognitive skill development is crucial for a prosperous and equal society. Of all the investments in people one can make, investments in the very young have the highest economic returns.

I congratulate our organizers from the China Development Research Foundation for their work on ECD to benefit the children of poor minorities in western China, providing them with a chance to benefit from China’s impressive growth record. And I thank you again for the opportunity to address this distinguished audience on such an important topic.

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A conversation with U.S. Secretary of Commerce Penny Pritzker

On Thursday, June 2, U.S. Secretary of Commerce Penny Pritzker joined Senior Fellow Robert Kagan for a conversation on the economic dimensions of the liberal world order, including the critical economic opportunities on the global horizon and the role America’s private sector can play in helping shape modern commerce. They also discussed the importance of trade agreements to strengthening U.S. global competiveness. Suzanne Nora Johnson, vice chair of the Brookings Board of Trustees, moderated.

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On February 2 and 3, 2010, the Brookings Institution Metropolitan Policy Program and Lazard convened leaders from the public sector, energy, infrastructure, finance and venture capital communities for an in-depth conversation focused on innovative policy and business practices that will help build the next American economy.

California Governor Arnold Schwarzenegger and Pennsylvania Governor Edward G. Rendell provided the keynote remarks. Both stressed the need for strategic investments in innovative infrastructure and energy practices going forward.

Framing the conference was the notion that the next American economy must be export-oriented, low carbon, innovation-fueled and opportunity rich—an idea which has been proposed by leading economists such as Director of the National Economic Council Larry Summers. It is with this mindset that Brookings and Lazard put together high-level, dynamic panels that centered around the private sector needs for building out the next American economy—and the policy implications. Specifically, they focused on how the traditional industry leaders (e.g., utility companies), the new industry leaders (e.g., venture capital investors), and public sector leaders can work together to move our country forward, especially within the metro areas where the resources and networks that drive innovation are rooted.

For media coverage of the event, please visit the following:

Time Is Running Out: The New York Times – Bob Herbert

Watching China Run: The New York Times – Bob Herbert

High Hopes for Clean-Energy Jobs: The Wall Street Journal - Rebecca Smith

Campaign for 'Next American Economy' Begins: San Francisco Chronicle - Andrew Ross

Bruce Katz, Vice President and Director, Metropolitan Policy Program, Brookings Institution		Vernon Jordan, Senior Managing Director, Lazard and California Governor Arnold Schwarzenegger
Wall Street Journal reporter Rebecca Smith leads a conversation with business leaders		Pennsylvania Governor Edward Rendell
Conference participants Jim Robinson of RRE Ventures and Michael Ahearn of First Solar		From left: Bob Herbert (New York Times), Mallory Walker (Walker and Dunlop) and George Bilicic (Lazard)

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Even the most well-intentioned public policy can have unintended consequences. President Obama’s promise of doubling exports offers one thread of a broader strategy for getting our economy back on track.

Increasing our output of goods to ship and sell abroad implies that if all goes well, a growing number of goods will be transported to one of our 400 ports. Yet, as Rob Puentes has determined, our top 15 ports already move over 73 percent of the value of international freight. Increasing our exported goods means one of two possibilities: additional goods will be funneled to just a handful of ports or other ports will need to move international cargo.

And here is where the pain starts. Increasing port activities has real and often severe consequences for the cities, towns, and neighborhoods located nearby. The most immediate ramification is the increased volume in truck traffic on local roads and arterials. Back in 2005, the U.S. Department of Transportation surveyed 23 ports and found that 58 percent found local access to be below average conditions or, in other words, choked with congestion.

With more trucks carrying additional loads, some ports will likely find they have little choice but to push for port expansion to handle the supply. The process of local authorities approving port expansions is wrenching and emotional for the entire community--a controversy perhaps only superseded by the siting of jails.

If these costs seem reasonable to get our country back on track, try to argue this point to neighborhoods already burdened with these impacts. Accomplishing this national goal at the local level will not be so easy.

Yet, an easy answer for the feds is that they don’t have authority over local land use. This is also the case in Germany, where local land use decisions are determined by state and local governments. Yet on the issue of ports, Germany’s federal government has taken a keen interest in how local municipalities are supporting port activity. Their interest grew out of a desire to increase the volume of exports. In German cities and regions that contain “ports of national importance”, local municipalities will now be encouraged by the feds to change the hierarchy of land uses and activities within their zoning processes.

Specifically, local governments will be asked to consider how new uses, such as housing, will not hurt the competitiveness of the port. So instead of port noise needing to be mitigated by the port, homebuilders, and ultimately homeowners, could be responsible for mitigating the noise. One noise mitigation strategy is that homebuilders install heavy, noise-proof glass.

If the Germans should be lauded for at least trying to reconcile national economic objectives with local priorities, I wonder if more can be done than create neighborhoods of glass.

      

In partnership with the ESADE Business School and the City of Barcelona, the Metropolitan Policy Program planned and participated in three intensive days of learning in Barcelona in June 2011.  The focus of the session was to look at examples of strategies Barcelona, Spain and its greater metropolitan region is embracing to rebuild and re-invent their economies.  The goal is to share innovative ideas with U.S. metros engaged in similar initiatives as they face the challenge of moving to a new economic growth model.

This paper features brief synopses of the tours and meetings held with the City of Barcelona and the Catalonia Region on their economic development strategies.

Specific strategies include:

Barcelona Activa »

Barcelona Economic Triangle » (PDF)

22@Barcelona » (PDF)

Parc de l’Alba »

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Barcelona Activa
The 22@Barcelona revitalization area	The Parc de l'Alba revitalization area

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Once upon a time, innovation was an isolationist sport. In America’s innovative economy 20 years ago, a worker drove to a nondescript office campus along a suburban corridor, worked in isolation, and kept ideas secret.

Today, by contrast and partly a result of the Great Recession, proximity is everything. Talented people want to work and live in urban places that are walkable, bike-able, connected by transit, and hyper-caffeinated. Major companies across multiple sectors are practicing “open innovation” and want to be close to other firms, research labs, and universities. Entrepreneurs want to start their companies in collaborative spaces, where they can share ideas and have efficient access to everything from legal advice to sophisticated lab equipment.

These disruptive forces are coming to ground in small, primarily urban enclaves—what we and others are calling “innovation districts.” By our definition, innovation districts cluster and connect leading-edge institutions with startups and spin-off companies, business incubators, and accelerators in the relentless pursuit of cutting-edge discoveries for the market. Compact, transit-accessible, and highly networked, they grow talent, foster open collaboration, and offer mixed-used housing, office, retail, and 21st century urban amenities. In many respects, the rise of innovation districts embodies the very essence of cities: an aggregation of talented, driven people assembled in close quarters, who exchange ideas and knowledge. It’s in the vein of what urban historian Sir Peter Hall calls “a dynamic process of innovation, imitation and improvement.”

Globally, Montreal, Seoul, Singapore, Medellin, Barcelona, Cambridge, and Berlin offer just a few examples of evolving innovation districts. In the US, the most iconic innovation districts can be found in the downtowns and midtowns of cities like Atlanta, Cambridge, Philadelphia, Pittsburgh, San Diego, and St. Louis, where advanced research universities, medical complexes, research institutions, and clusters of tech and creative firms are sparking business expansion, as well as residential and commercial growth. Even a cursory visit to Kendall Square in Cambridge, University City in Philadelphia, or midtown Atlanta shows the explosion of growth and mixed development occurring around institutions like MIT, the University of Pennsylvania, and Georgia Tech.

Other innovation districts can be found in Boston, Brooklyn, San Francisco, and Seattle, where former industrial and warehouse areas are charting a new innovative path, powered by their enviable location along transit lines, their proximity to downtowns and waterfronts, and their recent addition of advanced research institutions (reflected by Carnegie Mellon University’s decision to place its Integrative Media Program at the Brooklyn Navy Yard).

Perhaps the greatest validation of this shift is found in the efforts of traditional exurban science parks (like Research Triangle Park in Raleigh-Durham) to urbanize, in order to keep pace with the preferences of their workers for walkable communities and the preference of their firms to be near other firms and collaborative opportunities.

Innovation districts are already attracting an eclectic mix of firms in a diverse group of sectors, including life sciences, clean energy, design, and tech. We even see a return of small-scale and customized manufacturing, made possible by 3D printing, robotics, and other advanced techniques.

Unlike efforts to grow the “consumer city” via sports stadia, luxury housing, and high-end retail, innovation districts are intent on growing the firms, networks, and sectors that drive real, broad-based prosperity.

At a time of increasing concerns over inequality and resilience, innovation districts can spur productive, inclusive, and sustainable growth. If properly structured and scaled, they can provide a strong foundation for the commercialization of ideas, the expansion of firms, and the creation of jobs. They also offer the tantalizing prospect of expanding employment and educational opportunities for disadvantaged populations—many innovation districts are close to low- and moderate-income neighborhoods—as well as sparking more sustainable development patterns, given their embrace of transit, historic buildings, traditional street grids, and existing infrastructure.

Innovation districts represent one of the most positive trends that have emerged in the aftermath of the Great Recession. Smart cities, innovative companies, advanced universities, and financial institutions would be wise to embrace them.

This piece originally appeared on Quartz.

      

For years, corporate campuses like Silicon Valley were known for innovation. Located in suburban corridors that were only accessible by car, these places put little emphasis on creating communities where people work, live and go out.

But now, as the economy emerges from the recession, a shift is occurring where innovation is taking place. Districts of innovation can be found in urban centres as disparate as Montreal, Seoul, Singapore, Medellin, Barcelona, and London. They are popping up in the downtowns and midtowns of cities like Atlanta, Cambridge, Philadelphia, and St. Louis.

These are places where advanced research universities, medical complexes, and clusters of tech and creative firms are attracting businesses and residents.

Other innovation districts can be found in Boston, Brooklyn, San Francisco, and Seattle, where older industrial areas are being re-imagined and remade, leveraging their enviable location near waterfronts and city centres and along transit lines. Innovative companies and talented workers are flocking to these areas in abundance.

Even traditional science parks like Research Triangle Park in Raleigh-Durham are scrambling to urbanise to keep pace with their workers' preference for walkable communities and their companies' desire to be near other firms.

In these districts, leading anchor institutions and start-ups are clustering and connecting with one another. They are coming together with spin-off companies, incubators, and accelerators in the relentless pursuit of new discoveries for the market.

These areas are small and accessible, growing talent, fostering open collaboration, and offering housing and office space as well as modern urban amenities. They are both competitive places and "cool" spaces.

The growth of innovation districts is being driven by private and civic actors like universities, philanthropies, business associations and business improvement districts. Yet local governments play an important role in accelerating the growth of districts and maximising their potential . Three roles stand out:

1) Mayors are leading efforts to designate districts

Barcelona's former mayor Joan Clos set his eyes on transforming his city into a "city of knowledge". Through extensive, focused public planning and investment, Clos designed an innovation district from the debris of a 494-acre industrial area, which was scarred and separated from the rest of the city by railroad tracks. His vision included burying these tracks, increasing access via a new public tram, designing walkable streets, and creating new public spaces and housing.

Today, the area is a 21st-century urban community with 4,500 firms, thousands of new housing units, and clusters of universities, technology centres, and incubators.

Across the Atlantic in Boston, former mayor Tom Menino declared the South Boston waterfront an innovation district in 2010. Menino persuaded innovators like MassChallenge to move to the district and exacted important concessions from developers (including land for innovation-oriented retail, shared labs and other spaces, and micro-housing) to help realise the district's vision.

2) Changing land-use laws to build spaces with a mix of facilities

Barcelona and Research Triangle Park, for example, developed bold master plans encouraging the "mixing" of large and small firms, research facilities, housing, restaurants, and retail and outlining where to create open spaces for networking. Cambridge, Massachusetts, by contrast, has allowed incremental moves from rigid, antiquated rules to encourage similar outcomes in Kendall Square .

3) Supporting scarce public resources with large private and civic investments

In New York , former mayor Michael Bloomberg deployed $100m in municipal capital to prepare the infrastructure necessary to lure Cornell and Technion universities to Roosevelt Island. In other cities, including St Louis and Seattle, local resources are financing infrastructure improvements to buttress and accelerate private growth.

Given that many innovation districts are adjacent to low-income neighbourhoods, cities like Philadelphia are considering smart use of school investments to prepare disadvantaged youth for good jobs in the Stem (science, technology, engineering, and math) economy.

As this decade unfolds, we should expect more cities to use their powers in the service of this new model of innovative, inclusive, and resilient growth.

This opinion originally appeared in The Guardian

       

       

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The geography of innovation is shifting and a new model for innovative growth is emerging. In contrast to suburban corridors of isolated corporate campuses, innovation districts combine research institutions, innovative firms and business incubators with the benefits of urban living. These districts have the unique potential to spur productive, sustainable, and inclusive economic development.  

On June 9, the Metropolitan Policy Program at Brookings released “The Rise of Innovation Districts,” a new report analyzing this trend. The authors of the paper, Brookings Vice President Bruce Katz and Nonresident Senior Fellow Julie Wagner, were joined by leaders from emerging innovation districts across the country to discuss this shift and provide guidance to U.S. metro areas on ways to harness its potential.

Join the conversation on Twitter using #InnovationDistricts

Presentation by Bruce Katz

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Bruce Katz, Vice President and Director, Metropolitan Policy Program

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The Honorable Andy Berke, Mayor, City of Chattanooga, TN and Bruce Katz

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• What Are Innovation Districts?
• Innovation Districts Aligned With Disruptive Dynamics of Our Era
• Cities are For People
• Boston's District Hall a Living Room for Innovation Economy
• Innovation Happens Anywhere and Everywhere
• Are Innovation Districts Another Form of Gentrification?
• Philadelphia Behind but Competing in Innovation Districts
• Chattanooga Has Fastest, Cheapest Internet in Western Hemisphere
• We Live In an Innovation Century
• The Rise of Innovation Districts - Opening Remarks
• The Rise of Innovation Districts - Presentation by Bruce Katz
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The geography of innovation is shifting. For proof, start with Google, which over the past 10 years has taken the core R&D and innovation-oriented activities it once housed only in Silicon Valley and extended them into cities. The company’s presence in London’s Tech City, New York City’s Chelsea district, and Pittsburgh’s Bakery Square reflects management’s calculation that being in cities increases the company’s access to growing tech-oriented ecosystems, advanced research institutions, deep pools of talent, and distinct regional specializations.

In its decision to go urban, Google has been joined by not only other tech firms such as Twitter, Microsoft, and Spotify, but also companies like Comcast, Amazon, Pfizer, Quicken Loans, and countless numbers of small start-ups and entrepreneurs. (Our recent research for the Brookings Institution, “The Rise of Innovation Districts: A New Geography of Innovation in America,” provides the larger context for these corporate choices.)

For the past 50 years, the landscape of innovation has been dominated by regions like Silicon Valley—suburban corridors of spatially isolated corporate campuses, accessible only by car, with little emphasis on the quality of life or on integrating work, housing, and recreation. After visiting dozens of U.S. and European cities, interviewing hundreds of practitioners and experts on the ground, and scouring scholarly analyses of investor and firm behavior, we are convinced that a complementary new urban model is now emerging, in the form of what we and others are calling “innovation districts.”

These districts, by our definition, are “geographic areas where leading-edge anchor institutions and companies cluster and connect with start-ups, business incubators, and accelerators. Compact, transit-accessible, and technically-wired, innovation districts foster open collaboration, grow talent, and offer mixed-used housing, office, and retail.”

Globally, Barcelona, Berlin, Copenhagen, London, Medellin, Montreal, Seoul, Stockholm, and Toronto all contain emerging innovation districts. In the United States, the most iconic districts can be found in the downtowns and midtowns of Atlanta, Cambridge, Detroit, Philadelphia, Pittsburgh, and St. Louis. In each, advanced research universities, medical complexes, and clusters of tech and creative firms are sparking business expansion as well as residential and commercial growth.

Other innovation districts are developing in Boston, Brooklyn, Chicago, Portland, San Francisco, and Seattle. Former industrial and warehouse areas are undergoing a renaissance, powered by their enviable location along transit lines, proximity to downtowns and waterfronts, and recent additions of advanced institutions. (Note, for example, Carnegie Mellon University’s decision to place its Integrative Media Program at the Brooklyn Navy Yard.)

Perhaps the greatest validation of this shift is the fact that traditional exurban science parks like Research Triangle Park in Raleigh-Durham are now responding with efforts to meet the new demand for more vibrant and collaborative work and living environments.

Innovation districts are already attracting an eclectic mix of firms in the app economy and high tech sector as well as in high-value, research-oriented sectors such as life and material sciences, clean energy, and data computing. They are also home to companies in highly creative fields like architecture, design, theater production, advertising, and marketing. We even see a return to cities of small-scale and customized manufacturing, made possible by 3D printing, robotics, and other advanced techniques.

Much of this activity reflects a fundamental rethinking by corporate management about how and where innovation happens. In turn, it is making the case that discrete urban geographies can be instrumental in strengthening the competitive advantages of specific firms and clusters.

Rather than being the outgrowth of heavy-handed government programs, innovation districts are instead emerging from broader trends and market forces. For example, an economy increasingly oriented toward innovation (particularly through open collaborations) naturally rewards urban density. Companies, researchers, and entrepreneurs working in close proximity are able to share ideas rather than invent in isolation. No one company can master all the knowledge it needs, so they rely on a network of industry collaborators. A recent New York Times article on the growth of Pfizer, Novartis, and other major pharmaceutical companies in Cambridge, makes the point explicitly:

Pharmaceutical companies traditionally preferred suburban enclaves where they could protect their intellectual property in more secluded settings and meet their employees’ needs. But in recent years, as the costs of drug development have soared and R&D pipelines slowed, pharmaceutical companies have looked elsewhere for innovation. Much of that novelty is now coming from biotechnology firms and major research universities like MIT and Harvard, just two subway stops away.

If the benefits of urban density were already being experienced, they take on heightened importance in what Michael Mandel has called the “age of convergence” —when companies must simultaneously push forward with technology and content. Other analysis by the Center for an Urban Future in New York City finds many tech players focusing less on building new technologies and more on “applying technology to traditional industries like advertising, media, fashion, finance, and health care.” These shifts reinforce the importance of proximate location as companies strive to be physically close to the individuals and companies they partner with.

The rise of a convergence and collaborative economy also raises questions of how commercial buildings—offices, research labs, business incubators, and innovation institutes—should be designed. Thus, the creative solutions being tried in vanguard innovation districts will yield broad lessons. With their many variations on incubator space, collaborative venues, social networking, product competitions, technical support, and mentoring, they are beginning to sort out the best physical and social platforms for entrepreneurial growth.

Finally, large-scale demographic migrations are putting new value on cities and demanding more and better choices in where workers live, work and play. The City Observatory recently found, for example, that the number of young college graduates living within three miles of city centers (i.e., where innovation districts tend to be located) has surged, up 37 percent since 2000. This is happening not just in talent magnets like Denver, Portland, OR, and San Diego, but also in older industrial cities like Buffalo, Cleveland, and Pittsburgh.

The confluence of these disruptive economic, social, and demographic dynamics has changed corporate calculus. As companies design forward-looking strategies, they should be asking whether and how a greater commitment to urban locales could help them squeeze out even more success.

This commentary was originally published by Harvard Business Review.

       

In the year since we released “The Rise of Innovation Districts: A New Geography of Innovation in America,” Brookings has visited or interacted with dozens of leaders in burgeoning innovation districts in the United States and Europe. In so doing, we’ve sharpened our knowledge of what’s happening on the ground and gained some important insights into how cities and metros are embracing this new paradigm of economy-shaping, place-making, and network-building.

Innovation districts capture the remarkable spatial pattern underway in the innovation economy—the heightened clustering of anchor institutions, companies, and start-ups in small geographic areas of central cities across the United States, Europe, and other global-trading regions.

The rise of innovation districts has been situated against the familiar backdrop of suburban corporate campuses and science parks. Accessible only by car, these spatially isolated corridors place little emphasis on the quality of life or on integrating work, housing, and recreation.

By contrast, in our report we found the rise of urban innovation hubs to be the organic result of profound economic and demographic forces that are altering how we live and work. The growing application of “open innovation”—where companies work with other firms, inventors, and researchers to generate new ideas and bring them to market—has revalued proximity, density, and other attributes of cities. At the same time, the growing preference of young talented workers to congregate in vibrant neighborhoods that offer choices in housing, transportation, and amenities has made urban and urbanizing areas increasingly attractive.

We also found that innovation districts uniformly contain a mix of economic, physical, and networking assets. Economic assets are the firms, institutions, and organizations that drive, cultivate, or support an innovation-rich environment. Physical assets are the public and privately owned spaces—buildings, open spaces, streets, and other infrastructure—designed and organized to stimulate new and higher levels of connectivity, collaboration, and innovation. Lastly, networking assets are the relationships between actors—such as between individuals, firms, and institutions—that have the potential to generate, sharpen, and/or accelerate the advancement of ideas. These assets, taken together, create an innovation ecosystem—the synergistic relationship between people, firms, and place that facilitates idea generation and advances commercialization.

One year later, innovation districts continue to rise. What have we learned about how they are evolving?

First, the model of innovation districts has been embraced, co-opted, and (in some cases) misappropriated, further reinforcing the need for grounding this work in empirically based evidence.

A simple Google search will reveal the extent to which the language of “innovation districts” (or “innovation quarters,“ “innovation neighborhoods,” or “innovation corridors”) has rapidly permeated the field of urban and metropolitan economic development and place-making.

In some places, this labeling is being accurately used by globally recognized research institutions (e.g., Carnegie Mellon in Pittsburgh, Drexel University in Philadelphia) that are both experiencing extraordinary growth near their campuses as well as designing intentional efforts to build on their distinctive assets. In communities as diverse as Philadelphia, Pittsburgh, and St. Louis in the United States and Manchester and Sheffield in England, local leaders are conducting deep empirical analysis to understand their competitive advantages and existing weaknesses within their innovation ecosystem. They are exploring what it means to encourage greater collaboration and cooperation across their institutions, firms, and entrepreneurs. And they are exploring ways to better create “place” so as to increase overall vitality, facilitate innovation, and spur the growth of new businesses and jobs.

In other places, the nomenclature reflects an aspiration—and is spurring more deliberate efforts by local stakeholders to grow distinctive innovation ecosystems. In cities like Albuquerque, N.M., Chattanooga, Tenn., Chicago, Ill., Durham, N.C., and San Diego, Calif., local leaders are using the innovation district paradigm as a platform to measure their current conditions, develop strategies for addressing gaps and challenges, and build coalitions of stakeholders that can together help realize a unified vision for innovative growth. Some of these budding districts represent typologies not outlined in our report but that are ripe for future research, including “start-up” enclaves in or near downtowns of cities that lack a major anchor as well as “public markets” that blend locally produced food products and crafts with maker spaces, digital design, and other innovations in the creative arts.

There is one unfortunate trend in the rising use of the "innovation district" lexicon. In a number of cities, local stakeholders have applied the label to a project or area that lacks the minimum threshold of innovation-oriented firms, start-ups, institutions, or clusters needed to create an innovation ecosystem. This appears to result either from the chase to jump on the latest economic development bandwagon, the desire to drive up demand and real estate prices, or sometimes a true lack of understanding of what an innovation district actually is. The motivation for real estate developers to adopt the moniker seems clear: to achieve a price premium for their commercial, residential, and retail rents. Yet these sites are typically a collection of service-sector activities with little focus on the innovation economy. The lesson: labeling something innovative does not make it so.

From all these observations, it is clear that the field needs a routinized way to measure the starting assets of innovation districts—both to separate true districts from “in name only” ones as well as to give individual communities a platform for developing targeted strategies going forward. This means both running the numbers—conducting a quantitative audit—and undertaking a more qualitative assessment of strengths and weaknesses. Irrespective of their phase of development, innovation districts must evaluate the extent to which they have a critical mass of economic, physical, and networking assets to collectively generate the vitality that these districts demand. They need to evaluate the competitive advantages they have in certain economic sectors and learn how to cultivate them. And they need to ensure that they have the connectivity, diversity, and quality of place necessary to create a unique and vibrant environment in which innovation can thrive.

To facilitate this process, we are working in close collaboration with Mass Economics and the Project for Public Spaces to develop an audit template and tool. Over the next year, we intend to sharpen this tool in a subset of innovation districts across the country and then encourage others to employ it in their own established or burgeoning districts.

Second, the core economic assets of innovation districts are not fixed; in fact, many innovation districts are being created or enhanced by the relocation of major anchor facilities as institutions strive to achieve the highest return on investment.

The conventional notion of an “anchor” institution is that it is solidly weighted in a particular place. Yet over the past decade a substantial number of innovative companies and advanced educational and research institutions have moved key facilities and units as a means of generating greater innovation output. Examples of new locations include the University of California-San Francisco’s biotechnology campus in Mission Bay (2003); the University of Washington’s medical research hub in Seattle’s South Lake Union (2005); Brown University’s medical school in downtown Providence, R.I. (2011); Duke’s Clinical Research Institute in downtown Durham (2013); Carnegie Mellon University’s Integrative Media Program in the Brooklyn Navy Yard (2013); and, most famously, the new Cornell Tech campus on Roosevelt Island in New York City (2015).

These “first mover” relocations show how corporate and university leaders are departing from the tradition of building new facilities within their existing footprint and are willing to seek out new areas (and even new cities) to retain, or achieve, competitive advantage in their respective clusters and fields. As Cornell Professor Ronald Ehrenberg said about his school’s isolated Ithaca, N.Y. campus, “It is very, very difficult for us to do the kind of development through tech transfer that a place like Stanford or Berkeley can do in San Francisco or Harvard or MIT can do in Boston.” Our strong sense in talking with leaders around the country is that we are still at the early stage of corporate and university relocations given the extent to which urban areas have been revalued. The physical relocation of key innovation assets has now become a critical competitiveness strategy for companies, universities, and even states.

In some cases, the “unanchoring of anchors” is also compelling local leaders to rethink the traditional borders and boundaries of the innovation economy. In Philadelphia, for example, University City has always been recognized as a settled innovation hub, given the co-location of such anchor institutions as Drexel University, the University of Pennsylvania, the University City Science Center, and others. The recent decision of Comcast to consolidate its corporate presence in the downtown area and build its major new Innovation and Technology Center less than 10 blocks from 30th Street Station and the Drexel Campus is convincing some leaders to “stretch” Philadelphia’s University City district to incorporate this new corporate giant.

Third, almost all innovation districts have significant work ahead to understand the rising value of “place” in the innovation ecosystem and leverage or reconfigure their physical assets to create dense and dynamic communities.

While our paper dissected various types of physical assets to help practitioners understand their individual roles and value, the more important message to convey now is the imperative to combine and activate physical assets in ways that create vibrant “places.” The Project for Public Spaces aptly describes place as “…environments in which people have invested meaning over time. A place has its own history—a unique cultural and social identity that is defined by the way it is used and the people who use it.”¹

Our review of innovation districts, including those cited in our paper, reveals that many have not yet maximized the potential for creating lively communities in which their residents and workers feel invested, reducing the potential innovation output of these communities. When designed and programmed well, a district’s public spaces—whether within buildings or outside of them—facilitate open innovation by offering numerous opportunities to meet, network, and brainstorm. Strong places entice residents and workers to remain in the area off hours, extending the opportunities for collaboration. Strong places create a culturally and educationally enriched environment that strengthens human interaction, knowledge, and motivation.

While some university-led districts have made some improvements over the years, districts anchored by medical campuses have significant work ahead. These spaces were designed as isolated fortresses that valued parking over walking (ironic given their health mission), with little or no attention paid to amenities, cultural activities, retail, or housing. Significantly, some medical campuses are often located in close proximity to downtowns, as part of universities, or near organic entrepreneurial communities (e.g., the proximity of Oklahoma City’s Health District to Automobile Alley). This raises the potential for smart (and related) place-making activities in a nearby area and reinforces the need to rethink traditional geographies and artificial boundaries when considering interventions.

Fourth, the rapid growth and impact of national intermediaries (what we call innovation cultivators) shows real promise in helping innovation districts grow and steward their networking assets and stimulating new innovation opportunities.

The past year has seen substantial growth in multicity intermediaries along with scores of locally grown accelerators and incubators. It appears more than ever that intermediaries are increasingly the catalyst to growing innovation and entrepreneurial energy within local districts and across start-ups, small and medium-sized enterprises, and, even to some extent, large companies and research institutions. They are designed to think and act horizontally, encouraging people and firms to interact and work together in ways and at a scale previously unseen.

A growing and increasingly important role for intermediaries is helping innovation districts evolve from the traditional “research and development” model to a “search and development” one, where crucial answers to their innovation questions and technological challenges are discovered by finding and collaborating with other firms. Some districts immediately recognized this potential and have gone to great lengths to grow, lure, and fund the development of multiple intermediaries across their districts.

The Cortex Innovation Community in St. Louis has, in a short period, clustered new buildings owned and/or supported by a number of well-respected intermediaries. These development and programmatic moves are effectively creating a new focal point for Cortex innovation activities. The new Cambridge Innovation Center, which offers space for start-ups combined with access to venture capital firms, professional services, and a plug-and-play physical environment, is already at 85 percent occupancy. A newly constructed Tech Shop—a do-it-yourself “maker space” equipped with industrial tools, machinery, and technology to support entrepreneurs—is under construction nearby. The near complete renovation of the Center for Emerging Technologies, which provides training, specialized facilities, and technical support, adds yet another layer of support for entrepreneurs and start-ups. Adding more to this mix is a soon-to-be-constructed space for tech-commercial activities combined with new housing, which will exponentially increase the number of people in a very small radius.²

As one can imagine, this clustering was deeply intentional and viewed as a way to stimulate new relationships, new networks, and the cross-fertilization of ideas; Cortex refers to this deliberate process as “innovation engineering.” We anticipate more innovation districts to follow suit, pursuing, if not cultivating, such intermediaries in their own innovation ecosystems.

Finally, the rise of innovation districts takes place in a national and urban political environment that demands inclusive growth and equitable outcomes.

The past year has seen the elevation of income inequality and social mobility as issues of national and urban significance. With the federal government mired in partisan gridlock, cities have become the vanguard of efforts to raise the minimum wage, expand affordable housing, and extend pre-K education, among other initiatives. These efforts come at a time when the civil unrest in Baltimore and Ferguson has refocused national attention on neighborhoods of high poverty.

Because of their location in the cores of central cities, many established and emerging innovation districts are located several blocks away from distressed communities. This proximity creates an enormous opportunity to show the positive impact that innovative growth can have on inclusive outcomes. Innovation districts create employment opportunities that can be filled by local residents and procurement and construction opportunities that can be fulfilled by local vendors and contractors. The districts generate tax revenues that can be used to fund neighborhood services and neighborhood regeneration. And they offer the potential to link the ample expertise and talent in anchor educational institutions with the needs of neighborhood schools and children.

Recognizing these benefits, local leaders are demonstrating a genuine commitment to growing more inclusive districts. In our work, we’ve seen several early models that could be built on and replicated. In the Barcelona 22@ district, for example, leaders are trying to quantify the growth in service jobs accessible to local and regional residents while, at the same time, connecting those residents to training that increases their skills in more innovation-oriented sectors. Last year, Drexel University opened a new “urban extension center” that offers career-building workshops, legal clinics, and other services to residents of the adjacent Mantua Promise Zone. The Evergreen Cooperative in Cleveland’s University Circle district has been working for several years to leverage local purchasing power to create business ownership and employment opportunities for low-income residents. And in Baltimore, the University of Maryland partnered with surrounding neighborhood organizations, residents, and institutions to develop a detailed new plan for building what the Baltimore Southwest Partnership envisions as a “diverse, cohesive community of choice built on mutual respect and shared responsibility.”

These examples represent concrete initiatives to ensure that nearby neighborhoods and their residents connect to and benefit from new growth opportunities in innovation districts and beyond. Scaling such efforts will be critical in the years to come, as the success of these districts will be defined in large part by their broader city and regional impacts.

As Brookings works this year to help unleash more innovation districts across the U.S. and Europe, we will continue to hone our observations and knowledge about trends, challenges, and strategies. We will compile and publish what we have learned for anchor leaders, policymakers, scholars, and practitioners, focusing on many of the issues—accelerating commercialization to improving inclusion—noted above. We will do this work in close collaboration with proven organizations like Mass Economics and Project for Public Spaces. We look forward to contributing to this rapidly changing space via empirical and on-the-ground research, strategy and policy development, convenings, and network building. Stay tuned.

Read The Rise of Innovation Districts: A New Geography of Innovation in America

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Less than two years ago, the Brookings Institution unveiled the research paper, “The Rise of Innovation Districts,” which identified an emerging spatial pattern in today’s innovation economy. Marked by a heightened clustering of anchor institutions, companies, and start-ups, innovation districts are emerging in central cities throughout the world.

A Google search of the term “innovation district” reveals over 200,000 results, indicating the extent to which the phrase has permeated the fields of urban economic development, planning, and placemaking. The term is used to refer to areas, often in the downtowns of cities, where R&D-laden universities or firms are surrounded by a growing mix of start-ups and spin-offs. The term is also increasingly applied to densely populated urban neighborhoods where firms like Google are establishing campuses. But it also pops up to describe new office complexes whose amenities include a few stores or a fashionable coffee shop.

The variation in understanding of the term and its application suggests the need for a routinized way to measure the essential quantitative and qualitative assets of innovation districts. Given this, for the past nine months the Brookings Institution, Project for Public Spaces (PPS), and Mass Economics have collaborated to devise and test an audit tool for assessing innovation districts.

What to count? Considerations in designing an audit

Innovation ecosystems comprise complex, overlapping relationships between firms, individuals, unique spaces, private real estate, public infrastructure, capital, expertise, and conviviality, congregated in a roughly delineated area. To begin to determine how to identify and measure assets, we developed a process that was both rigorous and reflective, drawing together some of the brightest minds in the field, top practitioners on the ground, and a team strong in quantitative analysis.

First, we conducted research across numerous relevant topics including entrepreneurship, real estate development, commercialization, economic geography, city planning, institutional culture, finance, and inclusive development. This exercise generated hundreds of potentially applicable measures for the audit.  

       

Innovative activity and innovation districts are not evenly distributed across cities. Some metropolitan areas may have two or three districts scattered about, while other cities are lucky to have the critical mass to support even one strong district. London, however, a global city with nearly unparalleled assets, can best be understood as not just a collection of innovation districts but as a contiguous “city of innovation.” 

Our understanding of that innovative activity has taken a leap forward with the publication of a new report by the Centre for London called "Spaces to Think". Even for a paragon of innovation, a critique such as this is imperative if the city desires to maximize its assets while continuing to grow in a sustainable and inclusive manner. Much as we have recommended that urban leaders across the United States undertake an asset audit of their districts to identify key priorities, "Spaces to Think" focuses on 17 distinct districts, mapping their assets, classifying their typologies, and identifying governance structures.

The 17 study areas in "Spaces to Think"

The report provides lessons applicable to many cities.

Having identified, across all 17 districts, the three major drivers of innovative activity—talent, space, and financing—it becomes clear that the main hurdle for London, as a global magnet of talent and capital, is affordable physical space: “Increasing pressure for land…risks constraining London’s potential as a leading global city for innovation.” Similar to hot-market cities across the United States, many of the study areas of greatest promise are older industrial areas, such as Here East, Canary Wharf, and Kings Cross, where large plots of underutilized land have been reimagined as innovation districts. 

But who is prepared to undertake new regeneration projects? The report places significant responsibility on London’s many universities—whose expansions already account for much of the large-scale development opportunities in the city—for a “third mission” of local economic development. It is universities, the report notes, that are “devoting increasing amounts of money, resources, and planning to building new or redesigned facilities…pitched as part of a wider regeneration strategy, or the creation of an innovation district.” 

A second concern is the democratization of the innovation economy. Already a victim of rising inequality, London’s future growth must reach down the ladder. As we’ve argued, with intentionality and purpose, innovation districts can advance a more inclusive knowledge economy, especially given that they are often abut neighborhoods of above-average poverty and unemployment. Spaces to Think expands upon four key strategies: local hiring and sourcing practices for innovation institutions; upskilling of local residents through vocational and technical programs within local firms; increased tax yield, especially given recent reforms in which “local authorities retain 100 percent of business rates”; and shared assets and rejuvenation of place. This final lever requires inclusive governance that encourages neighborhood ownership of the public realm.

Finally, the report notes that, while there is much diversity of leadership in the study areas—some are university-led, some are entrepreneurial, some are industry-led—“good governance and good relations between institutions, are at the heart of what makes innovation districts tick.” This issue is at the heart of our work moving forward: identifying and spreading effective governance models that encourage collaboration and coordination between the public, private, and civic actors within innovation districts.

We are pleased that this future work will be strengthened by a new partnership between the Bass Initiative on Innovation and Placemaking and the Centre for London. The ambition of this Transatlantic Innovation Districts Partnership is to increase our mutual understanding of innovation districts found in Europe through additional qualitative and quantitative analysis and to integrate European leaders into a global network, all to accelerate the transfer of lessons and best practices from districts across the world.

       

A Q&A with Dennis Lower, president and CEO, Cortex Innovation Community

As leaders scan the landscape for strong examples of innovation districts, their tour is hardly complete without learning of the Cortex Innovation Community—an innovation district in the heart of St. Louis. We sat down with Dennis Lower, president and CEO of the Cortex Innovation Community to learn what kinds of interventions and instruments are driving their success.

What is the Cortex Innovation Community?

Cortex is the region’s largest innovation hub, generating 3,800 tech-related jobs and over $500 million in investment in the last 14 years. It’s located close to downtown and built on the intellectual assets and resources of St. Louis’ leading universities, a premier health care provider, and the Missouri Botanical Garden. The focal point is the 200 acres of old industrial land that one time separated these institutions but that now stitches them together. At full build-out, Cortex will likely generate $2 billion of development and create 13,000 jobs.

What sets Cortex apart from other innovation districts?

Of course, every district is distinctive and unique, building off its local character, culture, and assets. What sets Cortex apart, I would argue, is that we literally have billions of dollars of academic, cultural, and recreational assets in the neighborhoods that surround the district, which other places simply do not have.

We are bookended by two universities—Washington University and St. Louis University—each a magnet for international students and each with a reputation for research and academic excellence. Washington University, for example, was one of five consortium members funded by the National Institutes of Health to map the human genome. These universities, together with the University of Missouri-St. Louis, are the academic bedrock of our local innovation ecosystem.

Recent demographic analysis tells us we are now the most diverse employment environment in the region no matter how you slice it, including by age, ethnicity, and educational attainment.

Another Cortex advantage is the neighborhood that surrounds us. In addition to historic housing, the Grand Center arts district is to the east, to the west is Forest Park, which contains the St. Louis Zoo, fine arts and history museums, two golf courses, the St. Louis Science Center, abundant walking and biking trails, and the internationally renowned Botanical Garden. Restaurant corridors are to the north and south. I tell you all this to say that Cortex is where innovation, tech, culture, and community collide—and people are hungry for this mix.

Cortex Innovation Community is also a tax-exempt 501(c)3 that oversees the design and development of the innovation district. What makes your nonprofit unique in managing this district?

Cortex has been designated the master developer to transform an old industrial district into a center for innovation and commercialization. We are in a particularly advantageous position because the state and the city have granted the 501(c)3 powers of eminent domain, the power to abate taxes, and the power to approve or reject building plans. From a traditional economic development perspective, these powers have been critical in overcoming obstacles that land speculators sometimes put in our way. We have not had to use this power very often, fortunately. Only a handful of properties were acquired under the threat of eminent domain, and we reached an impasse only twice, sending us to court to purchase those properties. We take this responsibility seriously and only use eminent domain powers sparingly. We have a good reputation with the public as a result.

Can you describe one accomplishment you are particularly proud of?

We knew that to jump-start an innovation district it was essential to build entrepreneurial density. We developed an unorthodox strategy of sorts in that we built a concentration of innovation assets all within a block of each other. Today, we have six innovation centers, each with its own community and programming: the Center for Emerging Technologies, a traditional technical assistance incubator for information technology, bioscience, and consumer/manufacturing products; the BioGenerator, an accelerator with shared wet lab space and $3 million of shared core lab equipment; TechShop, a premier maker work space for prototyping and creating; the Cambridge Innovation Center–St. Louis, a co-working office and lab startup space); Venture Café–St. Louis, a shared public space for the startup community to meet weekly with 8 to 12 unconventional breakout educational sessions; and IdeaLabs/MedLaunch, a unique university graduate/undergraduate incubator that develops new technology to solve clinical problems. This strategy is working beyond our wildest expectations. It’s the “secret sauce” for supercharging our district’s innovation ecosystem. 

Venture Café: one of the six innovation centers that weekly draws together over 500 entrepreneurs from all technology sectors.

Can you highlight one particularly interesting innovation or invention coming out of Cortex? 

Let me highlight two. We have over 200 companies in Cortex—there’s too much innovation happening here to highlight only one!

First, we have a medical device company that is changing the way infectious diseases are diagnosed. Its products can rapidly detect bacterial infections, determine if the infection is resistant to a range of antibiotics, and provide clinicians with patient-specific guidance to treat infections quickly and accurately. Their first product can diagnose urinary tract infections in just three hours.

And then we have a company tackling the biggest challenge in agriculture today—preventing insects, diseases, and weeds from destroying food crops. This company is developing a cost-effective technology to produce and topically deliver RNAi for agricultural crops. Put simply, this technology helps plants develop desired genetic traits without the use of genetically modified organisms, or GMOs. This could be transformative.

Many people have asked us how innovation districts are supporting inclusive growth. There is a concern that innovation districts are focusing on innovation to the exclusion of employment of city residents, who may not possess the skills or education the district’s businesses are seeking.

We look at inclusion as an integral part of our work and mission at Cortex. We currently have six inclusion initiatives and will soon introduce two more. One of those is the development of a magnet high school in the St. Louis Public School District, the Collegiate School for Medicine and Biosciences. Working closely with the school district’s superintendent and an important group of institutional and civic leaders, we have been developing an urban high school centered on one of the major strengths of our Cortex sponsors—bioscience. We recruited our first class in 2013, providing instruction in a small, temporary school, and in 2015 moved to a permanent location that can support 400 students.

The students come from all across the region, representing the largest spread of zip codes of any regional public school. Currently, 53 percent of the students are African American, 23 percent are Asian, and 22 percent are white, representing a great mix. Last year’s proficiency testing in math and English revealed that we ranked first across the entire public school system. I find this particularly gratifying because a number of incoming freshmen were not performing at grade level. What this tells us is given the opportunity, creative teaching approaches, and a supportive structure, these kids will excel quickly. With our incoming 9th grade class this August, we will have a full complement of freshmen to seniors, graduating our first class in 2017.

Perhaps one of these students will find the next cure for cancer. To me, this illustrates an important part of our district’s DNA—to grow and cultivate innovation talent for the future.

       

The tide of uncertainty that has swept the United Kingdom after its vote to leave the European Union has spared few—including its emerging class of innovation districts.

These hubs of innovation—where anchor institutions, such as universities and R&D laden companies cluster and connect with startups, incubators, and a host of public spaces, coffee shops, retail and housing—are now asking themselves important questions that will affect their future. Will the U.K. broker a deal to continue free trade with Europe? Will access to talent across Europe be curtailed? Will the devalued pound keep U.K. advanced manufacturers competitive for the medium to long term? Will European Union legal frameworks be replaced with a regulatory platform that continues to support advanced sectors? What will happen to EU funding on science and innovation, such as Horizon 2020?

Of course, innovation districts are no stranger to uncertainty, if not chaos. These districts thrive on random mixing, on smashing different kinds of disciplines and people together to generate new ideas and new products for the market. In this close-knit, highly networked ecosystem, chaos breeds creativity. At the same time, the backbone of districts is a clear regulatory and legal framework with rules on intellectual property, investment, and funding streams. The twinning of chaos and certainty is what makes these places simply superb spaces to incubate new technology, aggregate talent, and experiment in linking placemaking with innovation.

Yet from the distinctive innovation districts in London to those emerging in the middle of England, such as in Sheffield and Manchester, to those rising in Scotland, such as in Glasgow, this moment of uncertainty could be not only painful—it could be downright dangerous. 

In the face of such uncertain times, the temptation will be to sit back and wait for the cards to fall. But this tempered, conservative approach is ironically the more risky tactic.

We recommend another path.

Now is the time for the institutions and firms that are driving innovation districts to strengthen their competitive position and expand their reach.

Now is the time to try new forms of collaboration between universities, large companies, and local enterprises.

Now is the time to test more democratic modes of innovation with maker spaces, fab labs, and shared infrastructure and equipment.

Now is the time to forge new partnerships with other innovation districts in the United States and Europe to share promising strategies around commercialization, networking, and financing.

Now is the time to apply new energy to creative placemaking, including strengthening the innovation–place nexus around key nodes and applying quick interventions around traffic calming, bike lanes, and pop-up gathering spaces. 

U.S. cities and innovation districts have demonstrated that progress can persist even when higher levels of government are adrift. U.K. cities and districts can do the same.

       

How are two innovation districts in Stockholm successfully melding their tech and life science clusters to create new products?

What can the Wake Forest Innovation Quarter in North Carolina teach us about creating strong, vibrant, and innovative places?

How are innovation districts in Australia leveraging government policies and programs to accelerate their development?

Over the last year, members of the Anne T. and Robert M. Bass Initiative on Innovation and Placemaking team talked with hundreds of local leaders and practitioners advancing innovation districts in almost every global region. These conversations revealed the remarkable level of creativity and innovative, out-of-the-box thinking being employed to grow individual innovation districts.

In the course of our work, we have been intrigued by the question, is there value to be gained from a global network of innovation districts? To this end, we have reached out to successful global networks in Europe, the United States, and Asia to distill what it takes to make a strong and sustainable global network. Among our findings so far:

• Network members are solving on-the-ground challenges by talking with and learning from their peers. Several said that these horizontal exchanges are essential to leapfrogging ahead. 

• Online interaction is growing but network members say that face-to-face contact is critical. Comparing notes, asking questions, and engaging in conversations foster collaboration while maintaining a healthy dose of competition. 

• The right tools and supports can make all the difference. In networks where participants had full schedules, developing new ways to share intelligence, like early morning webinars or virtual conferences, regular e-newsletters, and simple methods to share data helped facilitate their learning. 

To what extent do you feel that a network of innovation districts might supercharge your own efforts and successes?

It would help our work tremendously if you could complete our on-line survey. It will take two minutes or less!

Editor's Note: If you're interested in receiving the latest news from the Bass Initiative, please sign up for our newsletter at this link, http://connect.brookings.edu/bass-initiative-newsletter-signup. Feel free to share it widely.

       

       

       

       

The weakness of the economic recovery in advanced economies raises questions about the ability of new technologies to drive growth. After all, in the years since the global financial crisis, consumers in advanced economies have adopted new technologies such as mobile Internet services, and companies have invested in big data and cloud computing. More than 1 billion smartphones have been sold around the world, making it one of the most rapidly adopted technologies ever. Yet nations such as the United States that lead the world in technology adoption are seeing only middling GDP growth and continue to struggle with high unemployment.

There are many reasons for the restrained expansion, not least of which is the severity of the recession, which wiped out trillions of dollars of wealth and more than 7 million US jobs. Relatively weak consumer demand since the end of the recession in 2009 has restrained hiring and there are also structural issues at play, including a growing mismatch between the increasingly technical needs of employers and the skills available in the labor force. And technology itself plays a role: companies continue to invest in labor-saving technologies that reduce demand for less-skilled workers.

So are we witnessing a failure of technology? Our answer is "no." Over the longer term, in fact, we see that technology continues to drive productivity and growth, a pattern that has been evident since the Industrial Revolution; steam power, mass-produced steel, and electricity drove successive waves of growth, which has continued into the 21st century with semiconductors and the Internet. Today, we see a dozen rapidly-evolving technology areas that have the potential for economic disruption as well in the next decade. They fall into four groups: IT and how we use it; machines that work for us; energy; and the building blocks of everything (next-gen genomics and synthetic biology).

Wide ranging impacts

These disruptive technologies not only have potential for economic impact—hundreds of billions per year and even trillions for the applications we have sized—but also are broad-based (affecting many people and industries) and have transformative effects: they can alter the status quo and create opportunities for new competitors.

While these technologies will contribute to productivity and growth, we must look at economic impact in a broader sense, which includes measures of surplus created and value shifted (for instance from producers to consumers, which has been a common result of Internet adoption). The greatest benefit we measured for autonomous vehicles—cars and trucks that can proceed from point A to point B with little or no human intervention. The largest economic impact we sized for autonomous vehicles is the enormous benefit to consumers that may be possible by reducing accidents caused by human error by 70 to 90 percent. That could translate into hundreds of billions a year in economic value by 2025.

Predicting how quickly even the most disruptive technologies will affect productivity is difficult. When the first commercial microprocessor appeared there was no such thing as a microcomputer—marketers at Intel thought traffic signal controllers might be a leading application for their chip. Today we see that social technologies, which have changed how people interact with friends and family and have provided new ways for marketers to connect with consumers, may have a much larger impact as a way to raise productivity in organizations by improving communication, knowledge-sharing, and collaboration.

There are also lags and displacements as new technologies are adopted and their effects on productivity are felt. Over the next decade, advances in robotics may make it possible to automate assembly jobs that require more dexterity than machines have provided or are assumed to be more economical to carry out with low-cost labor. Advances in artificial intelligence, big data, and user interfaces (e.g., computers that can interpret ordinary speech) make it possible to automate many knowledge worker tasks.

More good than bad

There are clearly challenges for societies and economies as disruptive technologies take hold, but the long-term effects, we believe, will continue to be higher productivity and growth across sectors and nations. In earlier work, for example, we looked at the relationship between productivity and employment, which are generally believed to be in conflict (i.e., when productivity rises, employment falls). And clearly, in the short term this can happen as employers find that they can substitute machinery for labor—especially if other innovations in the economy do not create demand for labor in other areas. However, if you look at the data for productivity and employment for longer periods—over decades, for example—you see that productivity and job growth do rise in tandem.

This does not mean that labor-saving technologies do not cause dislocations, but they also eventually create new opportunities. For example, the development of highly flexible and adaptable robots will require skilled workers on the shop floor who can program these machines and work out new routines as requirements change. And the same types of tools that can be used to automate knowledge worker tasks such as finding information can also be used to augment the powers of knowledge workers, potentially creating new types of jobs.

Over the next decade it will become clearer how these technologies will be used to raise productivity and growth. There will be surprises along the way—when mass-produced steel became practical in the 19th century nobody could predict how it would enable the automobile industry in the 20th. And there will be societal challenges that policy makers will need to address, for example by making sure that educational systems keep up with the demands of the new technologies.

For business leaders the emergence of disruptive technologies can open up great new possibilities and can also lead to new threats—disruptive technologies have a habit of creating new competitors and undermining old business models. Incumbents will want to ensure their organizations continue to look forward and think long-term. Leaders themselves will need to know how technologies work and see to it that tech- and IT-savvy employees are included in every function and every team. Businesses and other institutions will need new skill sets and cannot assume that the talent they need will be available in the labor market.

       

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Featuring keynote remarks by Jason Furman, Chairman of the Council of Economic Advisers, and Alan Greenspan, former Chairman of the Federal Reserve Board

Productivity growth in the United States slowed sharply around 2005, which has contributed to slow growth in wages and downward revisions to estimates of long run economic growth. The global economy has grown incredibly fast since 1950, with global GDP expanding six-fold and average per capita income nearly tripling. A larger workforce and increased productivity spurred this growth. However, the global workforce is expected to grow more slowly over the coming years, and peak in size around 2050. If strong economic growth is to be achieved, in both the United States and globally, productivity must increase strongly.

On Wednesday, April 8, the Initiative on Business and Public Policy hosted an event exploring these and related issues. The event featured keynote remarks by Jason Furman, Chairman of the Council of Economic Advisers, and Alan Greenspan, former Chairman of the Federal Reserve Board. James Manyika and Jaana Remes of the McKinsey Global Institute considered the potential for faster global productivity growth. Marco Annunziata of General Electric will gave his perspective, and Martin Baily looked at explanations for slow growth in the U.S. economy.

Download a McKinsey report on global productivity trends »

Video

• Opening keynote by Jason Furman
• Global growth: Can productivity save the day in an aging world?
• Closing keynote by Alan Greenspan

Audio

• Achieving strong economic growth

Transcript

• Uncorrected Transcript (.pdf)

Event Materials

• MGI_Global_growth_Full_report_February_2015pdf (3)
• 20150408_strong_economic_growth_transcript
• BAILY_slides
• GREENSPAN_slides
• REMES_MANYIKA_slides

       

November's U.S. Bureau of Labor Statistics (BLS) employment report showed continued improvement in the job market, with employers adding 211,000 workers to their payrolls and hourly pay edging up compared with its level a year ago. The pace of job growth was similar to that over the past year and somewhat slower than the pace in 2014. For the 69^th consecutive month, private-sector payrolls increased. Since the economic recovery began in the third quarter of 2009, all the nation’s employment gains have occurred as a result of expansion in private-sector payrolls. Government employment has shrunk by more than half a million workers, or about 2.5 percent. In the past twelve months, however, public payrolls edged up by 93,000.

The good news on employment gains in November was sweetened by revised estimates of job gains in the previous two months. Revisions added 8,000 to estimated job growth in September and 27,000 to job gains in October. The BLS now estimates that payrolls increased 298,000 in October, a big rebound compared with the more modest gains in August and September, when payrolls grew an average of about 150,000 a month.

Average hourly pay in November was 2.3 percent higher than its level 12 months earlier. This is a slightly faster rate of improvement compared with the gains we saw between 2010 and 2014. A tighter job market may mean that employers are now facing modestly higher pressure to boost employee compensation. The exceptionally low level of consumer price inflation means that the slow rate of nominal wage growth translates into a healthy rate of real wage improvement. The latest BLS numbers show that real weekly and hourly earnings in October were 2.4 percent above their levels one year earlier. Not only have employers added more than 2.6 million workers to their payrolls over the past year, the purchasing power of workers' earnings have been boosted by the slightly faster pace of wage gain and falling prices for oil and other commodities.

The BLS household survey also shows robust job gains last month. Employment rose 244,000 in November, following a jump of 320,000 in October. More than 270,000 adults entered the labor force in November, so the number of unemployed increased slightly, leaving the unemployment rate unchanged at 5.0 percent. In view of the low level of the jobless rate, the median duration of unemployment spells remains surprisingly long, 10.8 weeks. Between 1967 and the onset of the Great Recession, the median duration of unemployment was 10.8 weeks or higher in just seven months. Since the middle of the Great Recession, the median duration of unemployment has been 10.8 weeks or longer for 82 consecutive months. The reason, of course, is that many of the unemployed have been looking for work for a long time. More than one-quarter of the unemployed—slightly more than two million job seekers—have been jobless for at least 6 months.  That number has been dropping for more than five years, but remains high relative to our experience before the Great Recession.

If there is bad news in the latest employment report, it's the sluggish response of labor force participation to a brighter job picture. The participation rate of Americans 16 and older edged up 0.1 point in November but still remains 3.5 percentage points below its level before the Great Recession. About half the decline can be explained by an aging adult population, but a sizeable part of the decline remains unexplained. The participation rate of men and women between 25 and 54 years old is now 80.8 percent, exactly the same level it was a year ago but 2.2 points lower than it was before the Great Recession. Despite the fact that real wages are higher and job finding is now easier than was the case earlier in the recovery, the prime-age labor force participation rate remains stuck well below its level before the recession. How strong must the recovery be before prime-age adults are induced to come back into the work force? Even though the recovery is now 6 and a half years old, we still do not know.

      

       

Washington is again paralyzed and pulling back on clean energy economic development. Deficit politics and partisanship are firmly entrenched and the raft of federal financial supports made available through the 2009 stimulus law and elsewhere is starting to expire.

No wonder it’s hard to imagine—especially if you’re sitting in the nation’s capital—how the next phase of American clean energy industry growth will be financed or its next generation of technologies and firms supported.

And yet, one source of action lies hidden in plain sight. With federal clean energy activities largely on hold, a new paper we are releasing today as part of the Brookings-Rockefeller Project on State and Metropolitan Innovation argues that U.S. states hold out tremendous promise for the continued design and implementation of smart clean energy finance solutions and economic development.

Specifically, we contend that the nearly two dozen clean energy funds (CEFs) now running in a variety of mostly northern states stand as one of the most important clean energy forces at work in the nation and offer at least one partial response to the failure of Washington to deliver a sensible clean energy development approach.

To date, over 20 states have created a varied array of these public investment vehicles to invest in clean energy pursuits with revenues often derived from small public-benefit surcharges on electric utility bills. Over the last decade, state CEFs have invested over $2.7 billion in state dollars to support renewable energy markets, counting very conservatively.  Meanwhile, they have leveraged another $9.7 billion in additional federal and private sector investment, with the resulting $12 billion flowing to the deployment of over 72,000 projects in the United States ranging from solar installations on homes and businesses to wind turbines in communities to large wind farms, hydrokinetic projects in rivers, and biomass generation plants on farms. 

In so doing, the funds stand well positioned—along with state economic development and other officials—to build on a pragmatic success and take up the challenge left by the current federal abdication of a role on clean energy economic development.

Yet here is the rub: For all the good the funds have achieved, project-only financing—as needed as it is—will not be sufficient to drive the growth of large and innovative new companies or to create the broader economic development taxpayers demand from public investments.  Also needed will be a greater focus on the deeper-going economic development work that can help spawn whole new industries. 

All of which points to the new brand of fund activity that our paper celebrates and calls for more of. 

In recent years, increasingly ambitious efforts in a number of states have featured engagement on at least three major fronts somewhat different from the initial fund focus: (1) cleantech innovation support through research, development, and demonstration (RD&D) funding; (2) financial support for early-stage cleantech companies and emerging technologies, including working capital for companies; and (3) industry development support through business incubator programs, regional cluster promotion, manufacturing and export promotion, supply chain analysis and enhancement, and workforce training programs.

These new economic development efforts—on display in California, Massachusetts, New York, and elsewhere—show the next era of state clean energy fund leadership coming into focus. States are now poised to jumpstart a new, creative period of expanded clean energy economic development and industry creation, to complement and build upon individualistic project financing. 

Such work could not be more timely at this moment of federal gridlock and market uncertainty.

Along these lines, then, our paper advances several recommendations for moving states more aggressively into this new period of clean energy economic development. We suggest that:

• States should reorient a significant portion (at least 10 percent of the total portfolio) of state CEF money to clean energy-related economic development

• States, as they reorient portions of their CEFS to economic development, should better understand the market dynamics in their metropolitan regions.  They need to lead by making available quality data on the number of jobs in their regions, the fastest-growing companies, the critical industry clusters, gaps in the supply chain for those industries, their export potential, and a whole range of economic development and market indicators

• States also should better link their clean energy funds with economic development entities, community development finance institutions (CDFIs), development finance organizations and other stakeholders who could be ideal partners to develop decentralized funding and effective economic development programs

In addition, we think that Washington needs to recognize the strength and utility of the CEFs and actively partner with them:

• The federal government should consider redirecting a portion of federal funds (for instance, from federal technology support programs administered by the Department of Energy and other programs meant for federal-state cooperation) to provide joint funding of cluster development, export programs, workforce training, and other economic development programs  through matching dollars to state funds that now have active economic development programs, and to provide incentives to states without such programs to create them

• The federal government should create joint technology partnerships with states to advance each state’s targeted clean energy technology industries, by matching federal deployment funding with state funding.

• The states and the federal government, more generally, should look to “decentralize” financing decisions to local entities with street knowledge of their industries, relying on more “development finance” authorities that have financed traditional infrastructure and now could finance new clean energy projects and programs

In sum, our new paper proposes a much greater focus in U.S. clean energy finance on “bottom up,” decentralized clean initiatives that rely on the states to catalyze regional economic development in regions. Such an approach—which reflects the emergence of an emerging “pragmatic caucus” in U.S. economic life—is currently demanded by federal inaction. However, it might also be the smartest, most durable way to develop the clean energy industries of the future without the partisan rancor and obtuseness that has stymied federal energy policy. State clean energy funds—having funded thousands of individual projects—bring significant knowledge to bear as they focus now on building whole industries. For that reason, the funds’ transition from project development to industry creation should be nurtured and supported.

       

State clean energy funds (CEFs) have emerged as effective tools that states can use to accelerate the development of energy efficiency and renewable energy projects. These clean energy funds, which exist in over 20 states, generate about $500 million per year in dedicated support from utility surcharges and other sources, making them significant public investors in thousands of clean energy projects.

However, state clean energy funds’ emphasis on a project finance model—which directly promotes clean energy project installation by providing production incentives and grants/rebates—is by itself not enough to build a statewide clean energy industry. State clean energy funds also need to pay attention to other critical aspects of building a robust clean energy industry, including cleantech innovation support through research and development funding, financial support for early-stage cleantech companies and emerging technologies, and various other industry development efforts.

As it happens, some of these state clean energy funds are already supporting a broader range of clean energy-related economic development activities within their states. As more and more states reorient their clean energy funds from a project finance-only model in order to encompass broader economic development activities, clean energy funds can collectively become an important national driver for economic growth.

To become true economic development engines in clean energy state clean energy funds should:

• Reorient a significant portion of their funding toward clean energy-related economic development
• Develop detailed state-specific clean energy market data
• Link clean energy funds with economic development entitites and other stakeholders in the emerging industry
• Collaborate with other state, regional, and federal efforts to best leverage public and private dollars and learn from each other's experiences

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• Download the Full Paper

       

       

       

Now that interest rates have finally been increased, it is time to focus on something other than the Federal Reserve’s moves for a while and look at what is perhaps the single most important problem facing the American economy: the very slow growth of productivity.

Productivity, which is the output produced by each hour of work in the non-farm business sector, grew at a paltry 1.2 percent a year in the 10 years through the third quarter of this year. In the prior decade, the growth rate was more than double, at around 3 percent a year. The question is what it means.

High-wage workers have done better than the average Joe; and profits have grown faster than wages, but productivity growth is even more important — it is the rising tide that lifts most boats. Average wages grew at more than 2 percent a year during the years of strong productivity growth and are growing at under 1 percent a year now.

The pace of the productivity increase is also vital to the nation’s finances. The last balanced federal budgets came after the fast-growth 1990s, which drove up incomes, profits and tax revenues. Today there are scary forecasts of the size of future budget deficits, and those forecasts are set to become much scarier unless productivity improves.

Slow productivity growth does not have the drama of Janet Yellen arguing with angry senators. It is a problem like termites in the attic where you don’t realize it exists until the roof collapses. And, even worse, it is a problem where there is no generally recognized explanation, nor are there obvious solutions.

One possible explanation, put forward by leading economist Robert Gordon, is that all the best innovations have been used up. He looks at the broad sweep of history, describing the age of steam, the age of electricity, and so on. The last wave, he argues, is the one fueled by the technology bubble, and it ran its course 10 years ago.

Gordon’s diagnosis is hard to swallow, however, as technology is changing all around us. A June 2015 survey of the Fortune 500 companies asked CEOs to list the biggest challenges they face, and their number-one answer by far was the challenge of rapid technological change. Any visitor to Silicon Valley or Cambridge, Massachusetts, is impressed by the pace of change.

There seems to be a major gap occurring between the cup and the lip. Technology changes apace, but the changes are apparently not translating into more efficient factories and offices.

One reason for this could be a lack of investment in business and human capital —the skills of the workforce. The Great Recession certainly put a damper on all forms of investment and the recovery has been sluggish. Regardless of what caused the slowdown, a boost to investment would help productivity.

Another possibility is that economic data are not capturing the fruits of innovations. Improved surgical procedures, new drugs and better treatment protocols allow hospitals to become more productive, but this large sector of the economy shows almost no measured productivity growth. Silicon Valley is turning out new apps to make our lives easier, but very little of this activity shows up in our productivity statistics.

Another clue to the productivity problem is that, for some reason, the dynamism of the U.S. economy seems to have faded. The number of startups is down, especially the so-called gazelles that grow fast and become much more productive.

Traditionally, a source of productivity growth has been the expansion of the most productive firms and the contraction of the less productive, and this dynamic has also slowed, perhaps due to diminished access to funding, or maybe regulation has become more burdensome.

While the cause of the problem and the nature of the solution remain uncertain, there is a lot of exciting research going on to understand productivity better and formulate policies to enhance it. If misery loves company, the United States should feel better because weak productivity is a problem for all advanced economies.

Moreover, understanding slow growth is not just a challenge for “experts.” Many of the latest best ideas are coming from the global community. Perhaps a new explanation for and solution to the productivity problem will bubble up from the new interconnected world.

Editor's Note: this piece first appeared in Inside Sources. 

       

Event Information

The White House Council of Economic Advisers (CEA) was created by Congress in 1946 to advise the president on ways “to foster and promote free competitive enterprise” and “to promote maximum employment, production and purchasing power.” President Truman, who signed the Employment Act of 1946 into law, was unenthusiastic about the Council and didn’t nominate members for nearly six months. Yet the CEA, comprised of three individuals whom Congress says are to be “exceptionally qualified,” has not only survived but also prospered for 70 years and remains an important part of the president’s economic policy decisionmaking.

On February 11, the Hutchins Center on Fiscal and Monetary Policy at Brookings marked this anniversary by examining the ways the CEA and other economists succeed and fail when they set out to advise elected politicians and tap the expertise of some of the “exceptionally qualified” economists who have chaired the Council over the past four decades.

You can join the conversation and tweet questions for the panelists at #CEAat70.

Video

• Panel 1: The CEA in Moments of Crisis
• Panel 2: The CEA and Policymaking
• Panel 3: Current Economic Policy Issues

Audio

• The Council of Economic Advisers: 70 years of advising the president

Transcript

• Uncorrected Transcript (.pdf)

Event Materials

• 20160211_economic_advisers_transcript

       

Neel Kashkari, the newly appointed President of the Federal Reserve Bank of Minneapolis, is super-smart with extensive experience in the financial industry at Goldman Sachs and then running the government’s TARP program, but his call to break up the big banks misses the mark.

Sure, big banks, medium-sized banks and small banks all contributed to the devastating financial crisis, but so did the rating agencies and the state-regulated institutions (mostly small) that originated many of the bad mortgages.  It was vital that regulation be strengthened to avoid a repetition of what happened – and it has been.  There should never again be a situation where policymakers are faced with either bailing out failing institutions or letting them fail and seeing financial panic spread.

That’s why the Dodd-Frank Act gave the authorities a new tool to avoid that dilemma titled “Orderly Liquidation Authority,” which gives them the ability to fail a firm but sustain the key parts whose failure might cause financial instability.  Kashkari thinks that the authorities will not want to exercise this option in a crisis because they will be fearful of the consequences of imposing heavy losses on the original owners of the largest banks.  It’s a legitimate concern, but he underestimates the progress that has been made in making the orderly liquidation authority workable in practice.  He also underestimates the determination of regulators not to bail out financial institutions from now on.

To make orderly liquidation operational, the Federal Deposit Insurance Corporation (FDIC) devised something called the “single point of entry” approach, or SPOE, which provides a way of dealing with large failing banks.  The bank holding company is separated from the operating subsidiaries and takes with it all of the losses, which are then imposed on the shareholders and unsecured bond holders of the original holding company, and not on the creditors of the critical operating subs and not on  taxpayers.  The operating subsidiaries of the failing institution are placed into a new bank entity, and they are kept open and operating so that customers can still go into their bank branch or ATM and get their money, and the bank can still make loans to support household and business spending or the investment bank can continue to help businesses and households raise funds in securities markets.  The largest banks also have foreign subsidiaries and these too would stay open to serve customers in Brazil or Mexico.

This innovative approach to failing banks is not magic, although it is hard for most people to understand.  However, the reason that Kashkari and other knowledgeable officials have not embraced SPOE is that they believe the authorities will be hesitant to use it and will try to find ways around it.  When a new crisis hits, the argument goes, government regulators will always bail out the big banks.

First, let’s get the facts straight about the recent crisis.  The government did step in to protect the customers of banks of all sizes as well as money market funds.  In the process, they also protected most bondholders, and people who had lent money to the troubled institutions, including the creditors of Bear Stearns, a broker dealer, and AIG, an insurance company.  This was done for a good reason because a collapse in the banking and financial system more broadly would have been even worse if markets stopped lending to them.  Shareholders of banks and other systemically important institutions lost a lot of money in the crisis, as they should have.  The CEOs lost their jobs, as they should have (although not their bonuses).  Most bondholders were protected because it was an unfortunate necessity.

As a result of Dodd-Frank rules the situation is different now from what it was in 2007.  Banks are required to hold much more capital, meaning that there is more shareholder equity in the banks.  In addition, banks must hold long-term unsecured debt, bonds that essentially become a form of equity in the event of a bank failure.  It is being made clear to markets that this form of lending to banks will be subject to losses in the event the bank fails—unlike in 2008.  Under the new rules, both the owners of the shares of big banks and the holders of their unsecured bonds have a lot to lose if the bank fails, providing market discipline and a buffer that makes it very unlikely indeed that taxpayers would be on the hook for losses.

The tricky part is to understand the situation facing the operating subsidiaries of the bank holding company — the parts that are placed into a new bank entity and remain open for business.  The subsidiaries may in fact be the part of the bank that caused it to fail in the first place, perhaps by making bad loans or speculating on bad risks.  Some of these subsidiaries may need to be broken off and allowed to fail along with the holding company—provided that can be done without risking spillover to the economy.  Other parts may be sold separately or wound down in an orderly way.  In fact the systemically important banks are required to submit “living wills” to the FDIC and the Federal Reserve that will enable the critical pieces of a failing bank to be separated from the rest.

It is possible that markets will be reluctant to lend money to the new entity but the key point is that this new entity will be solvent because the losses, wherever they originated, have been taken away and the new entities recapitalized by the creditors of the holding company that have been “bailed in.”   Even if it proves necessary for the government to lend money to the newly formed bank entity, this can be done with reasonable assurance that the loans will be repaid with interest.  Importantly, it can be done through the orderly liquidation authority and would not require Congress to pass another TARP, the very unpopular fund that was used to inject capital into failing institutions.

There are proposals to enhance the SPOE approach by creating a new chapter of the bankruptcy code, so that a judge would control the failure process for a big bank and this could ensure there is no government bailout.  I support these efforts to use bankruptcy proceedings where possible, although I am doubtful if the courts could handle a severe crisis with multiple failures of global financial institutions.  But regardless of whether failing financial institutions are resolved through judicial proceedings or through the intervention of the FDIC (as specified under Title II of Dodd-Frank) the new regulations guaranty that shareholders and unsecured bondholders bear the losses so that the parts of the firm that are essential for keeping financial services going in the economy are kept alive.  That should assure the authorities that bankruptcy or resolution can be undertaken while keeping the economy relatively safe.

The Federal Reserve regulates the largest banks and it is making sure that the bigger the bank, the greater is the loss-absorbing buffer it must hold—and it will be making sure that systemically important nonbanks also have extra capital and can be resolved in an orderly manner.  Once that process is complete, it can be left to the market to decide whether or not it pays to be a big bank.  Regulators do not have to break up the banks or figure out how that would be done without disrupting the financial system.

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Editor's note: This piece originally appeared in Bloomberg Government. 

       

For more than a decade, the economy’s rate of productivity growth has been dismal, which is bad news for workers since their incomes rise slowly or not at all when this is the case. Economists have struggled to understand why American productivity has been so weak. After all, with all the information technology innovations that make our lives easier like iPhones, Google, and Uber, why hasn’t our country been able to work more productively, giving us either more leisure time, or allowed us to get more done at work and paid more in return?

One answer often given is that the government statisticians must be measuring something wrong – notably, the benefits of Google and all the free stuff we can now access on our phones, tablets and computers. Perhaps government statisticians just couldn’t figure out how to include those new services in a meaningful way into the data?

A new research paper by Fed economists throws cold water on that idea. They think that free stuff like Facebook should not be counted in GDP, or in measures of productivity, because consumers do not pay for these services directly; the costs of providing them are paid for by advertisers. The authors point out that free services paid for by advertising are not new; for example, when television broadcasting was introduced it was provided free to households and much of it still is.

The Fed economists argue that free services like Google are a form of “consumer surplus,” defined as the value consumers place on the things they buy that is over and above the price they have paid. Consumer surplus has never been included in past measures of GDP or productivity, they point out. Economist Robert Gordon, who commented on the Fed paper at the conference where it was presented, argued that even if consumer surplus were to be counted, most of the free stuff such as search engines, e-commerce, airport check-in kiosks and the like was already available by 2004, and hence would not explain the productivity growth slowdown that occurred around that time.

The Fed economists also point out that the slowdown in productivity growth is a very big deal. If the rate of growth achieved from 1995 to 2004 had continued for another decade, GDP would have been $3 trillion higher, the authors calculate. And the United States is not alone in facing weak productivity; it is a problem for all developed economies. It is hard to believe that such a large problem faced by so many countries could be explained by errors in the way GDP and productivity are measured.

Even though I agree with the Fed authors that the growth slowdown is real, there are potentially serious measurement problems for the economy that predate the 2004 slowdown.

Health care is the most important example. It amounts to around 19% of GDP and in the official accounts there has been no productivity growth at all in this sector over many, many years. In part that may reflect inefficiencies in health care delivery, but no one can doubt that the quality of care has increased. New diagnostic and scanning technologies, new surgical procedures, and new drugs have transformed how patients are treated and yet none of these advances has been counted in measured productivity data. The pace of medical progress probably was just as fast in the past as it is now, so this measurement problem does not explain the slowdown. Nevertheless, trying to obtain better measures of health care productivity is an urgent task. The fault is not with the government’s statisticians, who do a tremendous job with very limited resources. The fault lies with those in Congress who undervalue good economic statistics.

Gordon, in his influential new book The Rise and Fall of American Growth, argues that the American engine of innovation has largely run its course. The big and important innovations are behind us and future productivity growth will be slow. My own view is that the digital revolution has not nearly reached an end, and advances in materials science and biotechnology promise important innovations to come. Productivity growth seems to go in waves and is impossible to forecast, so it is hard to say for sure if Gordon is wrong, but I think he is.

Fortune reported in June 2015 that 70% of its top 500 CEOs listed rapid technological change as their biggest challenge. I am confident that companies will figure out the technology challenge, and productivity growth will get back on track, hopefully sooner rather than later.

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Editor’s note: This piece originally appeared in Fortune.

       

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The financial crisis is now eight years behind us, but its legacy lingers on. Many Americans are concerned about their financial security and are particularly worried about whether they will have enough for retirement. Guaranteed benefit pensions are gradually disappearing, leaving households to save and invest for themselves. What role could equities play for retail investors?

Another concern about the lingering impact of the crisis is that business investment and overall economic growth remains weak compared to expectations. Large companies are able to borrow at low interest rates, yet many of them have large cash holdings. However, many small and medium sized enterprises face difficulty funding their growth, paying high risk premiums on their borrowing and, in some cases, being unable to fund investments they would like to make. Equity funding can be an important source of growth financing.

On Friday, April 15, the Initiative on Business and Public Policy at Brookings examined what role equity markets can play for individual retirement security, small business investment and whether they can help jumpstart American innovation culture by fostering the transition from startups to billion dollar companies.

You can join the conversation and tweet questions for the panelists at #EquityMarkets.

Video

• Keynote address by Richard G. Ketchum
• Panel Discussion
• Keynote address by Roger Ferguson

Audio

• Not just for the professionals? Understanding equity markets for retail and small business investors

Transcript

• Uncorrected Transcript (.pdf)

Event Materials

• Equity Markets Retirement Security 2016 Apr 15 (2)
• 20160415_equity_markets_transcript

       

A major oil spill will result in cleanup spending that boosts GDP, but no one thinks oil spills are good. Oil spills and other forms of pollution are examples of negative externalities — harm caused to others by the economic activity of a firm or industry. These externalities represent a failure of the market, and unless there is corrective action, their presence means that there is too much production of something that causes negative spillovers.

That criticism can be applied to the financial services industry. Many say that it grew too large, triggered a financial crisis and damaged the rest of the economy. Is that still the case, and is financialization spoiling the economy? Despite the alarmist rhetoric around today’s finance sector, the answer is generally “no” because of changes made to financial regulation.

First, a check on the facts: How large is the industry and how much has it grown? The broad definition of the financial sector includes finance, insurance and real estate, known by the acronym “FIRE.” It was 17.5 percent of gross domestic product in 1990 and rose to 20.0 percent in 2014, but that figure is misleading as it includes office and apartment rents and leases — stuff that has little to do with Wall Street.

Finance and insurance separately peaked well before the financial crisis at 7.7 percent of GDP, which was up from 5.8 percent in 1990. In 2014, it was 7.0 percent of GDP. Employment in finance and insurance has been on a downtrend since 2003 and is currently 4.25 percent of total nonfarm payrolls. Most of those jobs are in offices and bank branches around the country. (The output data given here are drawn from the Bureau of Economic Analysis, GDP by Industry data. The employment data are from the Bureau of Labor Statistics, Payroll Employment data. Author’s calculations.)

Still, salaries and bonuses at the top are extremely attractive, so perhaps the externality plays out by drawing the best and brightest away from other more productive activities. The Harvard Crimson reported that in 2007, 23 percent of graduating Harvard seniors said they planned to enter finance. That is an impressive number, but things turned around sharply, with the 23 percent figure falling to 11.5 percent in 2009 after the financial crisis. At this point, the financial industry really isn’t large enough to crowd out other parts of the economy.

Meanwhile, the insurance industry serves an important social purpose providing life, property, and casualty insurance. AIG got into trouble in the crisis because it strayed into providing very risky financial services, not because of its main insurance business. Likewise, the core value of banks is financial intermediation between savers and investors, giving savers relatively secure and liquid assets while also funding investment.

There are critics of how well our banking industry serves this core purpose, a quality that is hard to determine. My judgment is that it does the job pretty well compared to most other countries. As the IMF reported in September 2015, the non-performing loan problem among European banks remains severe, whereas most U.S. banks now have strong balance sheets. Good financial intermediation means that most of the savings dollars are transferred to investors and are not lost through inefficient bank operations. A 2002 study that I participated in found bank productivity higher in the United States than in France or Germany.

The parts of the financial sector that give rise to the most concern are market-making, deal-making and the creation and trading of derivatives on Wall Street. The volume of market trading has increased exponentially because of the increased speed of computers and communications. Up to a certain point, the increased volume is helpful because it adds to the liquidity of markets, but the advent of high-frequency trading has taken us over the top. As Michael Lewis describes in his book Flash Boys, the high speed traders are finding ways to shave milliseconds off the time needed to make trades. That is thoroughly wasteful. As for deal-making, it has been going on for a long time — indeed the go-go years for deals were in the 1980s — so it is hard to blame the recent slowing of economic growth on this activity.

Still, the explosion of derivatives and other overly-complex instruments was problematic, and it is crystal clear that the mortgage market became too opaque and removed accountability from the system. The layering of complex derivatives on top of lousy mortgages (and other shaky assets) distorted the economy, resulted in the overbuilding of houses, and caused the financial crisis. There are plenty of people at fault besides the bankers, but the smart people on Wall Street were driving the process, and they should have known better. The excessive financialization obscured the reality of loans that depended upon ever-rising home prices and thus were never going to be paid back. There was an externality because the private calculations of potential profit ignored the risks being imposed on society.

Is that still the situation today? No. Things have changed. Banks and other financial institutions that create risks for the whole economy are now required to hold sufficient capital to cover losses even in periods of economic and financial stress, plus a liquidity buffer (they must pass “stress tests” administered by the Federal Reserve). The screws have been turned pretty tight, and the owners of large financial institutions will bear the costs of future failures — not taxpayers. This brings private incentives in line with the public interest, getting rid of the externality that gave us too much financialization in the first place. But to keep the future safe, we’ll have to make sure no one forgets what happened in the last crisis, and ensure that new risks are not created in other, less-regulated parts of the industry.

Editor's note: This piece originally appeared in the Washington Post.

       

Australia's economic performance has been the standout among advanced economies for several decades. With economic growth at nearly twice the pace of US or Germany over the past decade, a remarkable 25 years without a recession and a large, highly competitive mining sector despite the end of the resources boom, Australia remains a strong economic participant in a region of the world where future global growth is likely to be generated.

But with drivers of growth over the past 25 years unlikely to be the engines of growth in coming decades, now is not a time for complacency. And if there's one lesson from Britain's decision to leave the EU, it's that that disruptive forces are sweeping through the global economy. Australia, with its cohesive politics and economic success, has been able to avoid the worst of these problems, but the dangers are present if the economic challenges are not met.

To start with, the impacts of the reforms of the 1980s and 1990s are fading. The investment boom in mining is over, and the prices for mining and agricultural exports will probably remain subdued with slower growth in China. While Australia's incomes were boosted by the improved terms of trade, this has partially reversed. The housing boom will inevitably eventually slow.

As evidenced by the results of the Brexit referendum, there is a distrust of the political and economic elites that have led the world's biggest economies. Disruptive, rapid changes in technology have not led to broad-based productivity growth. Workers in many countries have been left with stagnant incomes and governments with rising public debt.

Industry policy has a bad name among American economists who see it as a manifestation of "capture" where special interests are able to obtain subsidies from taxpayers or special protections that are not in the national interest. The modern theory of industry policy, however, recognises that a well-designed policy can actually help markets work better, therefore helping an economy like Australia's make the transition to a new growth path when faced with changing economic conditions. Productivity is the key to high growth and rising incomes – and well-designed industry policy can help.

Structure of trade competitiveness

Take, for example, Australia's manufacturing sector. Mostly because of comparative advantage, it is the smallest among all advanced economies relative to the size of its economy. In 2010, Germany had 21.2 per cent of its workforce in manufacturing while Australia's was 8.9 per cent. While it's not surprising that Australia's structure of trade competitiveness differs from Germany's because of its enormous export strength of mining and agriculture, it will benefit by taking advantage of its highly skilled workforce and the potential to develop industries based on this human capital – including advanced manufacturing industries.

One of the traditional strengths of the American economy is the close link that exists between leading universities and businesses – an area Australian policymakers are seeking to improve upon. At MIT and Stanford, professors of engineering, biology, finance or economics finish their lectures and head off to the companies they run or advise. They often enlist graduate or undergraduate students to help them with their commercial projects and these collaborations often result in jobs as well as experience. There is a danger in this model if pure research loses out to business interests, but the interaction between academia and the practical needs of companies can largely improve both research and business profitability. It's worth recalling that even the giants of science in the 18th century were motivated by the need to improve navigation or build new machines or design buildings. Funding for research should support greater industry-university cooperation as highlighted by the Watt Review.

Another important element in Australia's continued economic success is the growth of its service industries. With most jobs in these industries, the performance and productivity of services will be the largest determinant of Australia's living standards. Productivity comparisons between Australia and the United States show that Australian productivity lagged behind the US as recently as the mid-1990s, but there has since been substantial catch-up taking place. Smart regulation that promotes competition and rewards innovation are necessary to bring up the laggards. While there is a continuing debate about the possible end of productivity growth in advanced economies, Australia can still do much to catch up to global best practice.

The winners of this weekend's election will be charged with answering an important question: what is the role of government in a modern economy? How they answer that will determine future prosperity for all Australians.

High taxes, large government, poorly regulated markets (particularly labour markets), excessive debt and poor infrastructure undermine the drivers of growth. The realities of a fragile global economy and the need to build a solid foundation to generate productivity growth in Australia must be at the core of the policies that follow this election campaign.

Martin Baily is a senior fellow at the Brookings Institution in Washington and a former chair of the US President's Council of Economic Advisers. He has been invited by the Australian Ministry of Industry Innovation and Science to report on lessons from the US for policies to enhance economic growth, innovation and competitiveness.

Warwick McKibbin AO, is the director of the Centre for Applied Macroeconomic Analysis in the ANU Crawford School of Public Policy and is a non-resident senior fellow at the Brookings Institution.

Editor's note: this opinion first appeared in Australian Financial Review.

       

       

Event Information

In a close referendum last week, voters in the United Kingdom voted to leave the European Union, setting off financial and political shockwaves in Europe and around the world. British PM David Cameron has resigned, while Scotland has renewed calls for another independence referendum, global stock markets lost nearly $2 trillion on Friday, and the British pound is at a 30-year low. Many view the British referendum as commentary not only on economic and immigration trends in the UK, but as a possible forecast of the broader wave of anti-globalization and nationalistic political movements in the U.S. and Europe.

On June 29, Brookings hosted a discussion of the immediate fallout and medium- to long-term consequences of Britain’s departure from the EU. Panelists addressed how the process of exiting the EU might unfold, effects on the U.S.-U.K. and U.S.-EU security and trade relationships, on global development, and the future of the EU project.

Join the conversation on Twitter using #Brexit.

Video

• Brexit sends shockwaves: What now?

Audio

• Brexit sends shockwaves: What now?

Transcript

• Uncorrected Transcript (.pdf)

Event Materials

• 20160629_brexit_transcript