Editor's Note: During an event to launch a new report assessing the clean economy, Bruce Katz delivered a presentation highlighting the clean sector’s contribution to boosting exports and increasing manufacturing jobs. Katz's presentation also is featured in an iBook for the iPad.

Thank you, [Brookings Managing Director] Bill [Antholis] for that introduction, and for your leadership in this institution and more broadly in the national debate on climate change.

Before proceeding, I want to first thank my colleagues, Mark Muro, Jonathan Rothwell, Devashree Saha, and our friends at Battelle, particularly Mitch Horowitz and Marty Grueber for their creativity, collegiality, and painstaking attention to detail through a long and rigorous research effort. 

I’d also like to offer a special thanks to the Nathan Cummings Foundation, the General Electric Foundation, Living Cities, and the Surdna Foundation for their support and guidance of the program’s Clean Economy work, as well as the Rockefeller Foundation, who is supporting our policy and practice work around the clean economy in states and metropolitan areas.  

Today, we celebrate not just the release of a report, “Sizing the Clean Economy” but the unveiling of an interactive web site to spur further research, policy and practice, all freely available at www.brookings.edu/cleaneconomy.

We want today’s forum to be a participatory event and urge all of you in the audience and following on our webcast to engage online early and often. Please comment on Twitter via the hashtag created for this event (#cleanecon) and feel free to engage directly with me at @Bruce_Katz and Mark at @MarkMuro1 and send us any questions at MetroQ@brookings.edu.

The question before us: at a time of economic uncertainty and federal polarization, can America’s cities and metropolitan areas lead the nation to a clean economy—to create jobs in the near term and retool and restructure our economy for the long haul?

There is no doubt in our minds that moving to a clean economy is an environmental and energy imperative.  But consumers, companies, and cities are also sending an unequivocal signal: this is a market proposition and an economic transformation as profound as the information revolution.

Consumers around the globe are starting to demand lower carbon, energy efficient products and services: one in four drivers in the U.S., Europe, China, and Japan plans to buy electric vehicles when they are readily available. That would put about 50 million electric cars on the road in places from Baltimore to Beijing, Torino to Tokyo.

Companies see the clean economy as a growth sector: three quarters of major global corporations plan to increase “cleantech” budgets from 2012 to 2014. Global private investment in clean energy alone is up more than 6 fold since 2004, reaching $154 billion in 2010.

Cities and their metropolitan areas, early adapters of sustainable practice, are now competing to build out their special niches in the clean economy. I will provide details later on Greater Seattle’s bold strategy to be the global hub of clean IT. 

For two years, the Brookings Metro Program has hammered home the notion that the United States must pursue a different growth model post recession, a “next economy” that is driven by exports, powered by low carbon, fueled by innovation and rich with opportunity—and delivered by the large metropolitan areas that drive our economy.

Today, we will literally flip the dial and place the clean economy in the center of our macro vision and unveil the scale, scope and spatial geography of this promising growth engine. 

We have three sharp and timely findings.

First, the clean economy is a significant, diverse emerging market in the United States, already populated by some 2.7 million jobs. It is disproportionately manufacturing and export intensive—and offers better prospects for low and middle skilled workers than the national economy as a whole. This is exactly the kind of economy we want to build post-recession.

Second, metropolitan areas are on the vanguard of the clean economy due to their concentration of innovative drivers, as well as the built environment in which most people live, work and play. As in exports, metros specialize in different sectors of the clean economy—and the clustering of firms is catalyzing productive and sustainable growth.

Third, the U.S. must unleash the entrepreneurial energies and dynamism of our metropolitan engines to accelerate growth of the clean economy. That will require a strategic mix of private sector innovation and public policy that is stable, supportive, and predictable.  Given the nature and scale of global competition, U.S. governments, at all levels, must “get in the game” rather than “get out of the way.”  Smart public action can leverage private investment, create desperately needed jobs, and cement our position as the leading edge of innovative growth.

The stakes are very high. Make no mistake—we have a lot to do here and we are falling behind globally. Our competitors in mature and rising economies—Germany, Japan, and China—fully understand the potential of clean, and they are working at warp speed to set favorable conditions for rapid growth and grab their share of the next market revolution. We need to get our public-private act together—in cities and metros, in state capitals, at the now polarized federal level.

So let’s start with our first finding: the clean economy is a significant, diverse emerging market in the United States  

In total, we find there are 2.7 million clean economy jobs all across the United States. To put that number in perspective: the clean economy is nearly twice the size of the biosciences field and 60 percent of the 4.8 million strong IT sector. As you can tell, the clean economy also has more jobs than fossil fuel related industries.  

 Our definition of the clean economy is as follows:

“Any economic activity—measured in terms of establishments and jobs—that produces goods and services with an environmental benefit, or adds value to such products using skills or technologies that are uniquely applied to those products.”

This definition yields a broad and varied picture of economic activity: old and new, public and private, “green” and “blue.”

At the highest level, we find establishments and jobs grouping together in 5 discernible categories: Renewable Energy; Energy and Resource Efficiency; Greenhouse Gas Reduction; Environmental Management, and Recycling; Agricultural and Natural Resources Conservation; and Education and Compliance. Here we follow the categorization the Bureau of Labor Statistics is using for its own “green jobs” assessment due next year.

These categories then naturally break down into fine-grained segments, ultimately 39 in all.

Renewable Energy, for example, has nine segments, including Solar and Geothermal power, and Renewable Energy Services.

Energy and Resource Efficiency has 13 separate segments, from Electric Vehicle Technology to Water Efficient Products.

Greenhouse Gas Reduction, Environmental Management, and Recycling has 12 segments including Green Chemical Products and Professional Environmental Services.

And so on—you get the idea.

Each of the segments, in turn, has a distinct economic profile (cutting across multiple activities, occupations and skills) and a distinct spatial geography given the special assets and attributes of different places.

Let’s drill down a little so we all get on the same page.

Under renewable energy, let’s look at solar photovoltaic, a young rapidly innovating area. This segment employs more than 24,000 people in 555 establishments.

The list includes two major solar manufacturing firms, First Solar—with a major plant in Toledo—and BP Solar—with a facility in the Washington, DC metro, and Bombard Electric in Las Vegas, which helps businesses in that region—casinos, hotels, shopping centers—shift their energy use.

Under Greenhouse Gas Reduction, let’s take a look at Professional Environmental Services, an example of the role that expert services can play in domestic and global markets. This segment boasts some 140,000 workers in 5,400 establishments.

CH2M Hill in Denver provides environmental consulting services throughout the U.S. and the world, Ecology & Environment is a science and technical services firm with a large presence in Los Angeles, and Black & Veatch, out of Kansas City, is an engineering firm specializing in areas from environmental permitting to remediation.

One more definitional cut to consider: we have identified a group of young, super innovative “Cleantech” industries that cross multiple categories and show enormous growth potential. These industries are populated by companies with a median age of 15 years or less.

Most notably, this portfolio of segments—including wind power, battery technologies, bio fuels, and smart grid—grew about 8 percent a year since 2003, or twice as fast as the rest of the economy.

The clean economy, however, is not just broad and diverse, it is disproportionately productive.

The clean economy is export intensive, already taking advantage of the demand for clean goods and services coming from abroad.

In 2009, clean economy establishments exported almost $54 billion, including about $49.5 billion in goods and an additional $4.5 billion in services.

Significantly, clean economy establishments are by our calculations twice as export intensive as the national economy: over $20,000 worth of exports is sold for every job in the clean economy each year compared to just $10,400 worth of exports for the average U.S. job.

The export orientation of the clean economy today provides a platform for more exports tomorrow. With rising nations rapidly urbanizing, the demand for sustainable growth in all its dimensions will only grow, and the U.S. has the potential to serve that demand.

The clean economy also supports a production-driven innovation economy.

We find it employs a higher percentage of scientists than the national economy. Ten percent of clean economy jobs are in science and engineering, compared to 5 percent in U.S. economy generally.

As we now know, manufacturing and innovation are inextricably linked. This provides a stark challenge to the U.S.: we will innovate less unless we produce more.

By our account, the clean economy is a vehicle for production.

Twenty six percent of all clean economy jobs are involved in manufacturing, compared to just 9 percent of jobs in the economy as a whole.

Manufacturing accounts for a majority of the jobs in over half of the clean economy segments, with many sectors having a supermajority of production-oriented jobs.

Solar and wind energy, for example, have more than two thirds of their jobs in manufacturing. And some segments, including appliances, water efficient products, and electric vehicle technologies have over 90 percent of their jobs in manufacturing.

The good news: clean manufacturing is growing, even in the face of national declines in manufacturing employment. 

Finally, the clean economy is opportunity rich, providing prospects for a wide range of workers, and good wages up and down the skills ladder.

The clean economy is easy to enter, available to people of all skill levels: 45 percent of all clean jobs are held by workers with a high school diploma or less, compared to only 37 percent of U.S. jobs.

Once a worker enters the field, he or she is more likely to receive career-building training, as 41 percent of clean jobs offer medium to long-term training, compared to 23 percent of U.S. jobs.

The payoff is higher wages: the median wage in the clean economy is almost $44,000 for the average occupation, significantly higher than the national equivalent of $38,000 and change.

In summary, the clean economy is the kind of economy we want to build: export oriented, innovation fueled, opportunity rich, and balanced.

So here is our second major finding, metros are on the vanguard of the clean economy

Here is the heart of the American economy: 100 metropolitan areas that after decades of growth take up only 12 percent of our land mass, but harbor two-thirds of our population and generate 75 percent of our gross domestic product. 

These communities form a new economic geography, enveloping cities and suburbs, exurbs and rural towns.

Our research shows the extent to which these top 100 metros, in the aggregate, are driving growth in the Clean Economy.

In 2010, they constitute an increasing share of clean economy jobs, almost 64 percent.

And they include an outsized share, 74 percent, of jobs in cleantech industries, including extraordinarily high shares in solar photovoltaic, battery technologies, smart grid, and wind energy.

Innovative clean jobs are predominately in the top 100 metros because these places concentrate the assets that drive innovation, from initial research through commercialization through ultimate deployment

The major metros are also leading the growth of clean economy jobs around the built environment. They harbor 78 percent of jobs in public mass transit, and 90 percent of the jobs in green architecture, design and construction since moving people more efficiently and making buildings energy efficient will primarily be a metropolitan act, given where most people live and travel, and businesses locate.

Incredibly, metros also include a decent share of clean jobs that are traditionally rural, with at least 23 percent of jobs in resource-intensive activities like hydropower, sustainable forestry products, and biofuels, and more than half of organic food and farming jobs.

Metro economies, of course, do not exist in the aggregate; they have distinctive starting points and distinctive assets, attributes and advantages. 

Our research digs deep to profile the clean economy potential of each of the top 100 metro areas.

Four metro areas—New York, L.A., Chicago and Washington—are supersized job centers, with more than 70,000 jobs apiece in the clean economy in 2010. The New York metro alone has more than 152,000 clean economy jobs.

Other major metros—Philadelphia, San Francisco, Atlanta, Boston, Houston and Dallas—are also key players, with more than 38,000 jobs apiece as of that year.

Yet this is not just about the largest metros. As we see here, a different group of small and medium sized metros have more than 3.3 percent of their jobs situated in the clean economy. Albany leads the way, with an impressive 6.3 percent of its jobs in the clean economy.

The power of metros is the power of agglomeration, networks and clusters. 

Our report finds that clusters—the proximity of firms to businesses in related industries—boost metros’ growth performance in the clean economy, and metros facilitate clustering.

Examples include professional environmental services in Houston, solar photovoltaic in Los Angeles, fuel cells in Boston, wind in Chicago, water industries in Milwaukee, and energy efficiency in Philadelphia.

We can talk about clusters in the abstract, but its best to see them in practice from the ground up.

So let’s travel to the Philadelphia metropolis—the nation’s fifth largest—which includes the city of Philadelphia and surrounding counties.

Philadelphia is the fifth largest clean economy job center in the country.

Here we can find the advanced research engines of the University of Pennsylvania and Drexel in University City, who have partnered together on clean energy research and have provided a steady stream of talented workers to public, private and nonprofit firms and intermediaries.

These universities are part of the Greater Philadelphia Innovation Cluster, based at the Navy Yard, on the Delaware River.  This consortium received $129 million in federal funding from multiple agencies to demonstrate the efficacy of new building energy efficient components, systems and models.

The consortium includes strong support of City Hall, led by Mayor Michael Nutter, who has pioneered smart skills training in the energy efficient sector as well as the Philadelphia Industrial Development Corporation, which has been an investor in the Navy Yard.

And then, of course, there are firms and companies, the fuel of the economy, located throughout the Philadelphia metropolis.

Downtown we find Veridity Energy, a small smart grid firm with powerful technology tools. The density of Center City supports a healthy mix of highly skilled service firms. Just around the corner is Realwinwin, which provides finance services to companies making capital investments in energy efficiency.

But metropolitan economies cross city and county borders because different kinds of firms require different urban and suburban footprints—so if we look out to the suburb of Radnor, just past Bryn Mawr and I-476, we find Iberdrola, the second largest wind operator in the United States and a subsidiary of a major Spanish renewable energy company and an example of the wave of foreign direct investment that can help the U.S. build out the clean economy.   

The Philadelphia story reveals why cities and metro areas power our economy: they are hyper linked networks of private firms and public and nonprofit institutions that fertilize ideas, share workers, extend innovation, enhance competitiveness and catalyze growth.

Which leads to our final proposition: to build the next economy the U.S. must unleash the entrepreneurial energies and dynamism of our metropolitan engines.

We compete in a fiercely competitive world.

While America continues to debate the legitimacy of global warming research, our competitors in established nations like Germany, Japan and the U.K. and rising nations like China are taking transformative steps to grow their clean economies in the precise places—Munich, Tokyo, London, Shanghai—that drive their national economies. 

The United States can compete with these and other nations. No other nation can match us in domestic demand, advanced research, venture capital, the power of metro concentration.

But our potential will not be realized unless we provide a strong policy platform for the build out of the clean economy. 

Four steps are essential:  

Step one: scale-up markets by catalyzing demand for clean economy goods and services.  

Step two: drive innovation by investing in advanced R&D at scale, over a sustained period and via new distributed networks.

Step three: catalyze finance to produce and deploy more of what we invent. 

And step four: align with cities and metros to realize the synergies of clustering and place.  

Our competitors know that economy shaping of this magnitude should start at the national scale.

And so, in a perfect world, we would have our federal government create a framework for growth and success.

We have seen some of that leadership in the past few years, through: the procurement driven, market scaling efforts of the Department of Defense, the creation of new innovation vehicles like ARPA-E, some of the financial investments of the Department of Energy’s Loan Guarantee Program, and the metro-supporting investments in new energy regional innovation clusters—like the Greater Philadelphia example—supported by agencies with diverse sets of missions and resources, including DOE, Commerce, Labor, Education, and SBA. 

But with our global competitors continuously upping their goals and expanding their commitments, we desperately need our federal government to go further and act with vision and ambition and consistency.

To scale-up markets, Congress should enact a national clean energy standard (CES) that signals a long term, consistent commitment to alternative energy sources.

To drive innovation, Congress should embrace the call by the American Energy Innovation Council, led by corporate titans like Bill Gates and Jeff Immelt, to invest $16 billion annually in clean energy research and development through ARPA-E and networks of institutions that are multi-disciplinary and engage seamlessly with the private sector.

To catalyze finance, Congress should authorize a technology deployment finance entity—a Green Bank for short—to provide finance of the right scale and risk tolerance to ensure that ideas generated in America lead to products made in America.

Congress should also rationalize, reform, and selectively extend the myriad tax provisions and incentives that currently support the clean economy but which are now chaotic, unstable, inconsistent, and obtuse about evoking innovation and steady price declines from maturing clean technologies.

And to align with regions, Congress should more than double the number of energy innovation hubs and clusters that are seeded and funded.

Frankly, it is not difficult to lay out what reforms and investments are needed to grow the clean economy. Our competitors have given us clear guidance on that score. The only issue is whether our federal government, riven by excessive partisanship and ideological polarization, can muster the will to get anything done.  

Fortunately in the U.S. we have a default proposition when our national government falters, our states act as our “laboratories of democracy” and, as California Lt. Governor Gavin Newsom recently observed, our cities and metros act as the laboratories of innovation.

And so that’s how, for the time being, we will need to build our clean economy in the United States, the hard way, from the ground up.

The good news: there is no shortage of policy innovation and political commitment at the state and metro scale.

To scale up markets, California has set an aggressive renewable portfolio standard of 33 percent renewable energy by 2020. With this strong foundation, San Jose and other cities and counties are doing their part to facilitate consumer adoption: streamlining or even eliminating building permitting for solar panels.

To drive innovation, Wisconsin has created the School of Freshwater Sciences at the University of Wisconsin-Milwaukee to leverage that metro’s rising position in the blue economy. The Milwaukee Water Council is building on this, spearheading a network of scientists and companies to realize Milwaukee’s ambition to be a global hub for freshwater research, firm creation, and business expansion. 

To catalyze finance, Connecticut recently created the Connecticut Clean Energy Finance and Investment Authority. Capitalized with some $50 million annually, this Green Bank could accelerate the generation, transmission, and adoption of alternative energy.

At the municipal level, New York City has capitalized an Energy Efficiency Corporation to spur the financing of energy efficiency in the building sector.

And, finally, smart metros are now moving to build out their distinctive industry clusters.  In Greater Seattle, for example, the Puget Sound Regional Council has developed a business plan to cement that metro’s natural position as a global hub of energy efficient building technologies. This smart public-private initiative includes the establishment of a facility to test, integrate and verify promising energy efficient products and services before launching them to market.

Significantly, this metro vision is being supported by the State of Washington, which has committed to match any federal investment in the testing network.

Let me conclude with this vision: Let’s imagine a world in 20 years where the clean economy permeates every aspect of our economic and social fabric and, in the process, enhances productivity and competitiveness, lowers energy use, spurs further innovation, and provides quality work for a broad cross section of our citizenry. 

We believe today’s research—and the power of millions of consumers, tens of thousands of companies and hundreds of cities and metros—gives us the hope that this vision can become reality.

We have the data to set a platform for sustainable growth.

We have the roadmap to set the foundation for smart investment.

We have the entrepreneurs in all sectors to innovate and replicate. 

Let’s build the clean economy—worker by worker, firm by firm, metro by metro.

Thank you.

A new report and interactive map, "Sizing the Clean Economy: A National and Regional Green Jobs Assessment" includes a first-of-its-kind database providing new measures of the clean economy at the national and metropolitan levels. Although the clean economy employs millions of people and exists in every U.S. region, market challenges hinder its ability to keep pace with global competitors. Mark Muro talks about how this economy is a driver of growth and innovation.

Video

• Sizing the Clean Economy

Editor's Note: During an appearance on the Platts Energy Week program, Mark Muro discussed jobs in the green sector, using findings from the "Sizing the Clean Economy" report.

Host BILL LOVELESS: Green jobs – what are they? And can they make much of a contribution to the economy? It’s an ongoing debate in Washington, and the rest of the U.S. for that matter, and it’s a knotty one because defining the term “green jobs” is difficult.

But now the Brookings Institution has taken a crack at it with a new report, “Sizing the Clean Economy.” One of the authors, Mark Muro, with the Brookings Metropolitan Policy Program, joins me now. Mark, do you think you’ve defined, once and for all, what the clean economy is?

MARK MURO: The answer to that is “no.” This has been an ongoing discussion for decades, really. On the other hand, I do think that we have done is tried to embrace good precedents, good sensible precedents from Europe. The European Statistical Agency comes at it similar to the way we did. But we’ve also anticipated where the Bureau of Labor Statistics, here in the U.S., will be next year when it offers our first U.S. official definition.

LOVELESS: A summer preview, maybe. I know the Bureau of Labor Statistics is working on that. Should this report ... tell me a little bit about this report — where the jobs are and should this in any way change the way we look at green jobs.

MURO: I think one thing that comes from this is that it’s a broad swath of, sometimes not very glamorous, industries that are very familiar. Wastewater, mass transit – those are properly viewed as green jobs because they take pressure off the environment. They keep our environment clean.

Watch Mark Muro's full interview with Platts Energy Week »

"Sizing the Clean Economy,” which is based on the Brookings-Battelle Clean Economy Database, is a signature project of the Metropolitan Policy Program at Brookings. The database is a collaborative effort of Brookings Metro and the Battelle Technology Partnership Program and aims to explore the size, growth, and geography of the "clean" or green economy through the production of detailed data on U.S. establishments and workers engaged in producing goods and services that benefit the environment, especially in the nation’s large metropolitan areas."

Event Information

On August 1-3, 2012, Brookings Global Economy and Development hosted the ninth annual Brookings Blum Roundtable on Global Poverty in Aspen, Colorado. The year’s roundtable theme, "Innovation and Technology for Development", brought together global leaders, entrepreneurs and practioners to discuss how technology and innovation can be seized to help solve some of the world's most pressing global development challenges.

Global development challenges are of massive scale: 61 million children out of school and many more failing to learn basic literacy and numeracy skills; 850 million facing hunger; 1 billion living in slums and 1.3 billion without access to electricity. Yet remarkably little is understood about successful strategies for designing scalable solutions, the impediments to reaching scale, or the most appropriate pathways for getting there.

However, a batch of new technologies offers the promise of a breakthrough by encouraging innovative business models, pushing down transaction costs and disintermediating complex activities. Mobile money could realistically reach over 1 billion poor people in the next decade and directly connect millions of rich individuals with millions of poor people. Real-time data can allow resources to be better targeted and managed. New media can sharpen accountability and reduce waste and overlap.

Roundtable Agenda

Wednesday, August 1, 2012

Welcome: 8:40AM - 9:00AM
Brookings Welcome
• Strobe Talbott, Brookings

Opening Remarks
• Richard C. Blum, Blum Capital Partners, LP and Founder of the Blum Center for Developing Economies at Berkeley
• Mark Suzman, Bill and Melinda Gates Foundation
• Kemal Derviş, Global Economy and Development, Brookings

Session I: 9:00AM - 10:30AM
Framing Session: Translating Technological Innovations into Transformational Impact
In this opening discussion, participants will explore the overarching questions for the roundtable: If the poor can readily be identified and if they have access to financial services and participate in technology-driven communication networks, how does this change the development paradigm? How can effective partnerships be forged to combine the efforts of different international and local actors (businesses, governments, foundations, NGOs, and universities) in propagating solutions? Can scalable technologies raise the profile and potential of new business models, approaches and partnerships?

Moderator
• Homi Kharas, Brookings

Introductory Remarks
• Thomas A. Kalil, White House Office of Science and Technology
• Michael Kubzansky, Monitor Group 
• Lalitesh Katragadda, Google India
• Smita Singh, Independent

Session II: 10:50AM - 12:20PM
Mobile Money and Mass Payments
Participants will explore the following questions for the rountable: Is the rapid uptake of mobile money/payment technology throughout the developing world assured and if not, what (or whom) are the impediments? What is required to enable successful mass payments systems that employ mobile money technology? What is the optimal role of government, non-profits and private actors in supporting mobile money services? How can mass payments systems be used to implement national safety nets?

Moderator
• Gillian Tett, Financial Times

Introductory Remarks
• Neal Keny-Guyer, Mercy Corps
• Mwangi Kimenyi, Brookings
• Mung Ki Woo, MasterCard Worldwide Group Executive Mobile

Dinner Program: 7:30PM - 9:15PM
Aspen Institute Madeleine K. Albright Global Development Lecture

Featuring
• Rajiv Shah, Administrator, United States Agency for International Development

Click here to read Rajiv Shah's remarks »

Thursday, August 2, 2012 

Session III: 9:00AM - 10:30AM 
Mass Networks: Leveraging Information from the Crowd
Participants will explore the following questions for the rountable: What are the most promising examples of using social media, crowdsourcing and “big data” to advance development and humanitarian outcomes? How can traditional foreign assistance make use of virtual networks to support transparency, democratic governance and improved service delivery? How can technologies be used to understand clients, promote beneficiary feedback and learning to fine tune business models in base of the pyramid markets?

Moderator
• Walter Isaacson, Aspen Institute

Introductory Remarks
• Anne-Marie Slaughter, Princeton University
• Juliana Rotich, Ushahidi
• Robert Kirkpatrick, UN Global Pulse Initiative
• Rakesh Rajani, Twaweza

Session IV: 10:50AM - 12:20PM
Innovation and Technology for Green Growth
Participants will explore the following questions for the rountable: How advanced is green growth technology vis-à-vis the scale and urgency of the global climate challenge? What is the role of pricing and intellectual property and push and pull mechanisms in speeding up propagation within developed and developing markets? How can the goal of “sustainable energy for all” be achieved, and is it feasible in all countries?

Moderator
• Al Gore, The Climate Reality Project

Introductory Remarks
• Mary Robinson, Mary Robinson Foundation - Climate Justice
• Helen Clark, United Nations Development Programme
• Arthur Njagi, International Finance Corporation
• Viswanathan Shankar, Standard Chartered Bank

Lunch Program: 12:30PM - 2:00PM
Partnering with Academic Research Institutions
This discussion will explore partnerships between public sector development institutions and academic research institutions to support global development goals. Topics will include the constraints to research; how to make research more relevant to developing country problems; issues around incentives for scientists and universities; and relationships between universities, financiers and implementers.

Moderator
• Javier Solana, ESADE

Panel
• Richard C. Blum, Blum Capital Partners, LP and Founder of the Blum Center for Developing Economies at Berkeley
• Luis Alberto Moreno, Inter-American Development Bank
• Shankar Sastry, University of California, Berkeley
• Alex Deghan, United States Agency for International Development

Friday, August 3, 2012 

Session V: 9:00AM - 10:30AM
Business Solutions and Private Sector Development
Participants will explore the following questions for the rountable: What role can the new breed of socially conscious private actors (e.g., social enterprises and impact investors) play in overcoming finance and delivery constraints and scaling up development impact? Where is the need for investment finance most acute, and who or what can fill these gaps? How are management approaches evolving to suit base of the pyramid markets? What are the impediments to the adoption or adaptation of scalable technologies by developing country enterprises, and are southern innovations being efficiently spread? What is constraining private sector development in Africa, and is technology a key bottleneck?

Moderator
• Laura Tyson, University of California, Berkeley

Introductory Remarks
• Rob Mosbacher, Mosbacher Energy Company
• Mathews Chikaonda, Press Corporation Limited
• Elizabeth Littlefield, Overseas Private Investment Corporation
• Amy Klement, Omidyar Network

Session VI: 10:50AM - 12:20PM
Delivering U.S. Leadership: Role for the Public Sector
Participants will explore the following questions for the rountable: What is an appropriate role for the U.S. government in promoting technological solutions for development and scaling these up? How should the government leverage new private sector players? What are the best examples of, and lessons learned from, earlier and on-going public private partnerships? How can the U.S. government work more effectively to support local innovation and technology in developing countries?

Moderator
• Sylvia Burwell, Walmart Foundation

Introductory Remarks
• Rajiv Shah, Administrator, United States Agency for International Development
• Sam Worthington, InterAction
• Henrietta Fore, Holsman International

Closing Remarks: 12:20PM - 12:30PM

• Richard C. Blum, Blum Capital Partners, LP and Founder of the Blum Center for Developing Economies at Berkeley
• Kemal Derviş, Global Economy and Development, Brookings

Lunch Program: 12:30PM - 2:00PM
A Conversation with Michael Froman and Thomas Nides
This conversation will focus on the politics and finance of the US government’s efforts on global development, including its specific initiatives regarding technology and innovation for development.

Moderator
• Madeleine K. Albright, Albright Stronebridge Group

Live Webcast Event: 4:00PM - 5:30PM
Brookings and the Aspen Institute Present: "A Conversation with Former World Bank President Robert Zoellick"

Global Economy and Development at Brookings and the Aspen Strategy Group will host Robert Zoellick, who recently stepped down as president of the World Bank after serving in that office for the past five years. Mr. Zoellick has held several senior positions in the U.S. Government, including deputy secretary of state and U.S. trade representative under President George W. Bush. This event will be webcast live on the Brookings website. Click here for more details.

Introduction
• R. Nicholas Burns, Director, Aspen Strategy Group and Professor of the Practice of Diplomacy and International Politics, Harvard Kennedy School of Government

Moderator
• Strobe Talbott, President, Brookings

Event Information

The emergence of a new digital economy is changing the ways in which businesses and development organizations engage in emerging and developing countries. Transaction costs have been radically driven down, enabling greater inclusion. And technology is driving efficiency improvements, and permitting rapid scaling-up and transformational change.

On August 5-7, 2015, Brookings Global Economy and Development is hosting the twelfth annual Brookings Blum Roundtable on Global Poverty in Aspen, Colorado. This year’s roundtable theme, “Disrupting development with digital technologies,” brings together global leaders, entrepreneurs, practitioners, and public intellectuals to discuss three trends in particular have the potential to redefine how global development occurs and how efforts will support it over the next 10 years: (1) the growing adoption of digital payments serving people everywhere with near-frictionless transactions; (2) the spread of internet connectivity and digital literacy; and (3) the harnessing of data to better serve the poor and to generate new knowledge.

This event is closed, but you can follow along on Twitter using #Blum2015.

Roundtable Agenda

Wednesday, August 5, 2015

Welcome and opening remarks - 8:40-9:00 a.m.:

• Richard C. Blum, Blum Capital Partners
• Mike Kubzansky, Omidyar Network
• Kemal Derviş, Brookings Institution

Session I - 9:00-10:30 a.m.: Realizing the potential of the digital economy

The digital revolution presents profound opportunities for global development. By integrating poor people into digital networks, the revolution can redefine what it means to be poor, and forge new pathways to prosperity for both individuals and countries.

What are the challenges in making the digital revolution fully inclusive and scalable—and how can they be lifted? In a full-fledged digital economy, which constraints facing the poor will diminish and which will remain? What risks does the digital economy pose?

Moderator:

• Kemal Derviş, Brookings Institution

Introductory remarks:

• Michael Faye, GiveDirectly, Segovia Technology
• Tunde Kehinde, African Courier Express
• Christina Sass, Andela
• Tariq Malik, National Database and Registration Authority

Session II - 10:50 - 12:20 p.m.: Global money

Between 2011 and 2014, 700 million people started a bank account for the first time, representing a giant step toward the World Bank goal of universal financial inclusion by 2020. Meanwhile, the digitalization of payments, spurred in part by 255 mobile money services across the developing world, is pushing the cost of basic financial transactions down toward zero.

How will an era of global money transform formal and informal business? Which sectors, product markets, and government services have the most to gain and lose from increased market efficiency? What are the consequences for financial regulation?

Moderator:

• Henrietta Fore, Holsman International

Introductory remarks:

• Ruth Goodwin-Groen, Better than Cash Alliance
• Luis Buenaventura, Rebit.ph, Satoshi Citadel Industries
• Tayo Oviosu, Paga
• Loretta Michaels, U.S. Department of the Treasury

Lunch - 12:30-2:00 p.m.

Cocktail reception and interview - 5:00-7:00 p.m.:

During the reception, Richard Blum will lead a short discussion with Walter Isaacson and Ann Mei Chang on the topic “Silicon Valley and Innovation for the Developing World,” followed by questions. Remarks begin at 5:30 and will end at 6:15 p.m.

Thursday, August 6, 2015

Session III - 9:00-10:30 a.m.: Global connections

Numerous ventures are competing today to bring internet connectivity to the furthest corners of the planet, while low-cost, user-centered-designed platforms are expanding the spread of digital literacy. Social media and crowdsourcing offer efficient ways for people to share information, solve problems, and act collectively.

To what extent can internet connectivity overcome isolation and empower poor communities that are socially, economically, and politically disenfranchised? Do the benefits of global connectivity for the world’s poor rely on issues like net neutrality, and what has been learned from recent battles to uphold this paradigm?

Moderator:

• Anne-Marie Slaughter, New America Foundation

Introductory remarks:

• Ross LaJeunesse, Google
• Andy O’Connell, Facebook
• Maria Ressa, Rappler
• Chris Locke, Caribou Digital

Session IV - 10:50-12:20 p.m.: Global knowledge

The creation of a universal digital network will provide the poor with greater access to the information they need, and generate new knowledge that can be used to serve poor people more effectively. Digital inclusion can expand possibilities for targeting, verification, and analysis, while big data from biometric registries, satellites, phones, payments, and the internet can unlock insights on individual needs and preferences. In addition, open source platforms and MOOCs have the potential to be powerful accelerators for technology and skill transfer.

What kinds of new personalized services can be developed using improved capacity for targeting and tailoring? How might the reduction of barriers to information affect social mobility and economic convergence? How should big data be regulated?

Moderator:

• Smita Singh, President’s Global Development Council

Introductory remarks:

• David Soloff, Premise
• Rebecca Taber, Coursera
• Jonathan Hakim, Cignifi
• Deepak Mishra, World Bank

Friday, August 7, 2015

Session V - 9:00-10:30 a.m.: Opportunities and challenges for business

The digital economy promises to disrupt many existing markets and generate new business opportunities that employ and serve the poor.

How can businesses employ digital technologies to expand their presence in poor and emerging countries? According to businesses, what is an effective regulatory framework for the digital economy? To what extent can strong digital infrastructure compensate for deficiencies in physical infrastructure or governance?

Moderator:

• Laura Tyson, Blum Center for Developing Economies

Introductory Remarks:

• Jesse Moore, M-KOPA Solar
• Anup Akkihal, Logistimo
• V. Shankar, formerly Standard Chartered Bank
• Barbara Span, Western Union

Session VI - 10:50-12:20 p.m.: Opportunities and challenges for development cooperation

The U.S. government sees itself as a leader in harnessing technology for global development. Meanwhile, aid agencies have been identified as a possible target for disintermediation by the digital revolution.

How can development organizations, both government and non-government, accelerate the digital revolution? How might traditional aid programs be enhanced by employing digital knowledge and technologies? Does U.S. regulatory policy on the digital economy cohere with its global development agenda?

Moderator:

• Mary Robinson, Mary Robinson Foundation - Climate Justice

• Neal Keny-Guyer, Mercy Corps
• Michael Anderson, Children's Investment Fund Foundation
• Helen Clark, United Nations Development Program
• Ann Mei Chang, USAID

Closing remarks:

• Richard C. Blum, Blum Capital
• Mike Kubzansky, Omidyar Network
• Kemal Derviş, Brookings Institution

Event Materials

• Participant List 731

It is estimated that there are 95 mobile phone subscriptions per 100 inhabitants worldwide, and this boom has not been lost on the developing world, where the number of mobile users has also grown at rocket speed. In fact, in recent years the information communication technology (ICT) revolution has provided opportunities leading to “death of distance,” allowing many obstacles to better livelihoods, especially for those in remote regions, to disappear. Remarkably, though, the huge proportion of poverty-stricken populations in so many of those same regions persists.

How might, then, we think differently on the relationship between these two ideas? Can and how might ICTs act as an engine for eradicating poverty and improving the quality of life in terms of better livelihoods, strong education outcomes, and quality health? Do today's communication technologies hold such potential?

In particular, the mobile phone’s accessibility and use creates and provides us with an unprecedented volume of data on social interactions, mobility, and more. So, we ask: Can this data help us better understand, characterize, and alleviate poverty?

Mapping call data records, mobility, and economic activity

The first step towards alleviating poverty is to generate poverty maps. Currently, poverty maps are created using nationally representative household surveys, which require manpower and time. Such maps are generated at a coarse regional resolution and continue to lag for countries in sub-Saharan Africa compared to the rest of the world.

As call data records (CDRs) allow a view of the communication and mobility patterns of people at an unprecedented scale, we show how this data can be used to create much more detailed poverty maps efficiently and at a finer spatial resolution. Such maps will facilitate improved diagnosis of poverty and will assist public policy planners in initiating appropriate interventions, specifically at the decentralized level, to eradicate human poverty and ensure a higher quality of life.

In order to create these detailed poverty maps, we first define the virtual network of a country as a “who-calls-whom” network. This signifies the macro-level view of connections or social ties between people, dissemination of information or knowledge, or dispersal of services. As calls are placed for a variety of reasons, including request for resources, information dissemination, personal etc., CDRs provide an interesting way to construct a virtual network for Senegal.

We start by quantifying the accessibility of mobile connectivity in Senegal, both spatially and across the population, using the CDR data. This quantification measures the amount of communication across various regions in Senegal. The result is a virtual network for Senegal, which is depicted in Figure 1. The circles in the map correspond to regional capitals, and the edges correspond to volume of mobile communication between them. Thicker edges mean higher volume of communication. Bigger circles mean heavier incoming and outgoing communication for that region.

Figure 1: Virtual network for Senegal with MPI as an overlay

Source: Author’s rendering of the virtual network of Senegal based on the dataset of CDRs provided as a part of D4D Senegal Challenge 2015

Figure 1 also shows the regional poverty index[1] as an overlay. A high poverty index corresponds to very poor regions, which are shown lighter green on the map. It is evident that regions with plenty of strong edges have lower poverty, while most poor regions appear isolated. 

Now, how can we give a more detailed look at the distribution of poverty? Using the virtual network, we extract quantitative metrics indicating the centrality of each region in Senegal. We then calculate centrality measures of all the arrondissements[2] within a region. We then correlate these regional centrality measures with the poverty index to build a regression model. Using the regression model, we predict the poverty index for each arrondissement.

Figure 2 shows the poverty map generated by our model for Senegal at an arrondissement level. It is interesting to see finer disaggregation of poverty to identify pockets of arrondissement, which are most in need of sustained growth. The poorer arrondissements are shown lighter green in color with high values for the poverty index.

Figure 2: Predicted poverty map at the arrondissement level for Senegal with MPI as an overlay

Source: Author’s rendering of the virtual network of Senegal based on the dataset of CDRs provided as a part of D4D Senegal Challenge 2015.

What is next for call data records and other Big Data in relation to eradicating poverty and improving the human development?

This investigation is only the beginning. Since poverty is a complex phenomenon, poverty maps showcasing multiple perspectives, such as ours, provide policymakers with better insights for effective responses for poverty eradication. As noted above, these maps can be used for decomposing information on deprivation of health, education, and living standards—the main indicators of human development index.

Even more particularly, we believe that this Big Data and our models can generate disaggregated poverty maps for Senegal based on gender, the urban/rural gap, or ethnic/social divisions. Such poverty maps will assist in policy planning for inclusive and sustained growth of all sections of society. Our methodology is generic and can be used to study other socio-economic indicators of the society.

Like many uses of Big Data, our model is in its nascent stages. Currently, we are working towards testing our methodology at the ground level in Senegal, so that it can be further updated based on the needs of the people and developmental interventions can be planned. The pilot project will help to "replicate" our methodology in other underdeveloped countries.

In the forthcoming post-2015 development agenda intergovernmental negotiations, the United Nations would like to ensure the “measurability, achievability of the targets” along with identification of 'technically rigorous indicators' for development. It is in this context that Big Data can be extremely helpful in tackling extreme poverty.

Note: This examination was part of the "Data for Development Senegal" Challenge, which focused on how to use Big Data for grass-root development. We took part in the Data Challenge, which was held in conjunction with NetMob 2015 at MIT from April 7-10, 2015. Our team received the National Statistics prize for our project titled, "Virtual Network and Poverty Analysis in Senegal.” This blog reflects the views of the authors only and does not reflect the views of the Africa Growth Initiative.

[1] As a measure of poverty, we have used the Multidimensional Poverty Index (MPI), which is a composite of 10 indicators across the three areas: education (years of schooling, school enrollment), health (malnutrition, child mortality), and living conditions.

[2] Senegal is divided into 14 administrative regions, which are further divided into 123 arrondissements.

In advance of President Obama’s trip to East Africa on July 23, the Africa Growth Initiative has prepared short travel companions on the economic environments in both Ethiopia and Kenya. The president’s visit to Kenya, one of the larger economies on the continent and a major driver of growth in the East Africa region, underlies the United States’ commitment to trade and investment on the continent. Below are key facts on Kenya’s economy to consider as President Obama travels to the region. Facts on Ethiopia can be found here.

Kenya enjoys middle-income status. Earlier this month the World Bank confirmed Kenya’s lower-middle-income country status according to their latest estimates of the gross national income per capita. This followed from the statistical reassessment of GDP figures that increased the size of its economy by 25 percent  ($53.3 billion up from $42.6 billion) last September, making it the continent’s ninth-biggest economy, accounting for over 2 percent of the continent’s GDP.

Kenya has undertaken initiatives to attract private sector investment. According to the late Brookings Senior Fellow Mwangi Kimenyi, the nation’s strong private sector evolved under relatively market-friendly policies for most of the post-independence era. Foreign direct investment is further expected to take the lead in growth acceleration, especially in the extractive sector if the newly discovered oil deposits are found to be commercially viable. Large-scale infrastructure projects, such as the Mombasa-Kigali standard-gauge railway and the Lamu Port and Southern Sudan and Ethiopia Transport (LAPSSET) corridor, also incentivize private sector engagement. Kenya has been among the top recipients of external financing for infrastructure investment during 2009-2012, primarily led by Private Participation in Infrastructure (PPI) Financing.

Kenya was the first African country to build geothermal energy sources. Geothermal energy provides 51 percent of Kenya’s energy, allowing electricity bills to decrease by 30 percent since 2014 (World Bank).

Kenya acts as a hub for regional integration and the East African Community (EAC). Among the six Country Policy and Institutional Assessment (CPIA) indicators of the African Development Bank, infrastructure and regional integration registered the score of 4.6 in Kenya, the second best in Africa. As a regional export and financial hub, Kenya plays a leading role in the EAC and regional integration. Two Kenyan cities, Nairobi and Mombasa, are the biggest city and port (respectively) between Cairo and Johannesburg, making Kenya the commercial and transportation hub of East Africa.

Kenya has experienced service-led growth over the last decade. Kenya’s market-based economy enjoys some of the strongest service-sector industries, including the financial and the information and communication technology sectors, which play key roles in economic transformation and job creation in Kenya. Besides, travel and tourism made up 12.1 percent of Kenya’s GDP in 2013, and the nation is frequently cited as one of the best tourist destinations in Africa.

More than two-thirds of the adult population engages in mobile commerce, making Kenya the world leader in mobile payments. At 86 percent mobile payments penetration among Kenyan households, M-Pesa is redefining the way Kenyans perform transactions and has also facilitated financial inclusion by promoting savings and financial transactions among the unbanked.

Nearly one out of every two women in Kenya is a member of a women’s saving group, which are voluntary groups formed to  help women overcome barriers to financial participation. Called chamas, these groups allow women to mobilize savings and collectively invest to improve their livelihoods by contributing a certain amount of money to a pooled fund.

Kenya has a thriving manufacturing sector. Kenya is slowly diversifying exports away from agricultural commodities and increasing value-added processing. In 2014, roughly 70 percent of Kenya’s exports to the U.S. were textile- and garment-based, in which the African Growth and Opportunity Act (AGOA) has played a key role. The recent extension of AGOA for another decade opens up further opportunities for growth and revival of the textile and apparel industry in Kenya.

Kenya’s well-diversified economy and sound economic reform program are important steps in its quest to reach emerging market status. However, the following key challenges could undermine economic development:

Youth in Kenya are experiencing much higher unemployment rates than the rest of the Kenyan population. Though Kenya boasts of its young, educated and English-speaking human resource pool (especially in the urban areas), it continues to struggle with high unemployment rate among young people, which is estimated to be double the national level of unemployment of 12.7.

Spatially unbalanced growth in the Kenyan economy continues to be evident. Kenya has made substantial progress towards achieving towards achieving the targets associated with the Millennium Development Goals, including child mortality and near universal primary school enrolment. However, it still has a long way to reach the set targets: Over 40 percent of its 44 million population continues to be extremely poor living on less than $1.25 a day, with women being particularly at risk.

Implementation challenges of fiscal decentralization remain. Under the new constitution, county governments are entitled to not less than 15 percent of the total national revenue collected by the Kenyan central government. This fiscal devolution can bolster social cohesion, by increasing accountability in the management of public resources, and improving the quality of services delivery. However, it is crucial that this devolution is implemented successfully with equitable access to resources to all parts of the country. AGI’s Kenya Devolution and Revenue Sharing Calculator serves as a web interactive allowing users to explore and adjust the government of Kenya’s allocation formula for revenue distribution to county governance structures.

Kenya’s infrastructure remains insufficiently developed in spite of the fact that over the last five years, nearly 27 percent of the national budget has been allocated to transport, energy, water and sanitation, and environment-related infrastructure. Kenya was a pioneer in the use of infrastructure bonds in Africa, with its first issuance in 2009 of a 12-year bond which raised $ 232.6 million but further substantial investment in infrastructure is critical to achieving  Kenya Vision 2030 to become a globally competitive country.

Education is at a critical juncture in many nations around the world. It is vital for student learning, workforce development, and economic prosperity. For example, research in Turkey has found that raising the compulsory education requirement from five to eight years increased the percentage of women having eight years of school by 11 percentage points, and had a variety of positive social consequences.

Yet despite the emergence of digital learning, most countries still design their educational systems for agrarian and industrial eras, not the 21st century. This creates major problems for young people who enter the labor force as well as teachers and parents who want children to compete effectively in the global economy.

In this paper, Darrell West examines how mobile devices with cellular connectivity improve learning and engage students and teachers. Wireless technology and mobile devices:

• Provide new content and facilitate information access wherever a student is located
• Enable, empower, and engage learning in ways that transform the environment for students inside and outside school
• Allow students to connect, communicate, collaborate, and create using rich digital resources, preparing them to adapt to quickly evolving new technologies
• Incorporate real-time assessment of student performance
• Catalyze student development in areas of critical-thinking and collaborative learning, giving students a competitive edge

Downloads

• Download the paper

Recent developments in the U.S. economy present opportunities and challenges for how to effectively promote widely shared economic prosperity in a changing labor market. The proliferation of nontraditional and contingent employment relationships, fostered in part by new technology platforms, creates new opportunities, but also new regulatory, legal, and public policy challenges. Consumers and workers alike now use online technology and apps to contract for specific, on-demand services such as cleaning, handiwork, shopping, cooking, driving, and landscaping. These developments constitute what has been referred to as the “online gig” or “on-demand” economy, where work is taking place in a series of one-off gigs, rather than in an ongoing relationship with a single employer. The emergence of the online gig economy has increased policy interest in the issue of contingent work arrangements, which broadly include independent contractors as well as part-time, temporary, seasonal, or subcontracted workers.

In some respects, these on-demand gigs benefit both workers and the economy, and help to support job growth and household incomes in the post–Great Recession labor market recovery. Such gigs often feature flexible hours, low or no training costs, and generally few barriers to worker entry. These features have enabled gig-economy workers, including those with other jobs, to generate new income or to supplement their primary incomes during difficult times in a strained job market. Moreover, customers purchasing such on-demand services have benefited from the convenience and availability of services as well as the low cost at which they are often offered.

However, other aspects of the gig economy have raised some concerns. First, these jobs generally confer few employer-provided benefits and workplace protections. This stands in contrast to traditional employer–employee relationships that often come with manifold assurances and protections, such as overtime compensation, minimum wage protections, health insurance, disability insurance, unemployment insurance, maternity and paternity leave, employer-sponsored retirement plans, workers’ compensation for injuries, paid sick leave, and the ability to engage in collective action. Second, technological developments occurring in the workplace have come to blur the legal definitions of the terms “employee” and “employer” in ways that were unimaginable when employment regulations like the Wagner Act of 1935 and the Fair Labor Standards Act of 1938 were written. The evolution of the work relationship over time has led to important regulatory gaps. Some observers perceive that the online gig economy is leading to a rise in the share of work arrangements that are precarious, as compared to traditional employer–employee arrangements, and that the enhanced flexibility of the marketplace has come at a cost of economic security for many workers. In fact, systematic and timely data on contingent work arrangements are hard to come by so economists are still trying to figure out how common and widespread they are and what their impact on workers’ economic security might be. The absence of systematic data makes it all the more difficult to analyze the costs and benefits of contingent work arrangements for workers and businesses, and thus inform the appropriate policy and regulatory response. While the online gig economy is bringing this challenge to the fore, the broader issues surrounding classification and protection of contingent workers are not new or isolated. Importantly, the use of subcontracted and temporary workers, and workers with irregular or on-call shifts, also may require new regulatory frameworks.

In this framing paper, The Hamilton Project describes the broader economic context of contingent employer–employee relationships and where the emerging on-demand gig economy fits in this context. It also highlights the regulatory and measurement gaps that need to be resolved.

Downloads

• Full paper

The 2015 Brookings Blum Roundtable was convened to explore how digital technologies might disrupt global development.

Our intention was to imagine a world 10 years from now where digital technologies have become ubiquitous. In this world, how would we expect digital trends and innovations to affect the work of business and development organizations? What policy challenges and risks will the new digital economy pose? And what are the constraints on making digital innovations fully inclusive and scalable?

In 10 years, the world will look very different from today. The number of people worldwide who own a telephone, have access to the Internet, have registered their biometric identity, and own a bank account is rising by between 200 million and 300 million a year. These technologies are spreading at such a high speed that an era of digital inclusion beckons, characterized by universal connectivity and the frictionless movement of money and information.

History attests to the transformative effects of technology. And there is every reason to believe that the impact of digital technologies will be especially profound. The spread of mobile telephones already represents perhaps the most conspicuous change for life in the developing world over the past generation. However, the impact of digital technologies on people’s well-being can be both positive and negative. The onus is on developing countries and the broader global development community to maximize the upside of digital inclusion, while managing its downside, in navigating this exciting future.

Download the full introduction »

As the income inequality discussion continues to simmer across the country, municipal minimum wage ordinances have become hot topics of conversation in many cities. In January 2016, Seattle will implement its second step-up in the local minimum wage in 9 months, reaching $13 for many employers in the city and edging closer to a $15 an hour minimum that will apply to most firms by 2019. San Francisco will reach a $15 an hour minimum by July 2018. Yet cities as diverse as Birmingham, Chicago, Los Angeles, and Louisville have enacted or proposed similar minimum wage laws. It is too early to discern true impact of these local wage ordinances, but speculation abounds regarding whether or how the higher wage will affect firms and the earnings of low-wage workers.

Less prominent in debate and discussion about the minimum wage is the potential impact that higher minimum wage rates may have for nonprofit organizations. Nonprofits perform many critical functions in our communities—often serving the most at-risk and disadvantaged. Yet, fiscal constraints often place a low ceiling on what many nonprofits can pay frontline staff. As a result, many different types of nonprofit organizations—child care centers, home health care organizations, senior care providers—pay staff at rates near or below the targets set by the recent crop of local minimum wage laws. Our popular image of a minimum wage worker is the teen-age cashier at a drive-through window or the sales clerk at a retail store in the local strip mall, but many workers in these “helping professions” are being paid low wages.

Increases in the minimum wage are occurring at the same time that many nonprofit service organizations are confronted with fixed or declining revenue streams. Facing fiscal pressure, nonprofit service organizations may pursue one or more coping strategies. In addition to reductions in staffing or hours, commonly expected responses, nonprofits may cut back services offered, scale back service areas, or favor clients that can afford higher fees.

Such responses could reduce the amount and quality of the services provided to vulnerable populations. For example, elderly populations on fixed incomes may have fewer options for home care. Working poor parents may find higher child care costs prohibitively expensive. Employment service organizations may find it harder to place hard-to-serve jobseekers in jobs due to more competitive applicant pools.

At the same time, higher minimum wages could have positive consequences for nonprofit staffing and capacity. Higher wages could reduce employee turnover and increase staff morale and productivity. Organizations may not have to grapple with the contradiction of serving low-income persons, but paying modest wages.

The most recent set of wage ordinances take cities to unknown territory. Anticipating potential negative effects, Chicago has exempted individuals in subsidized employment programs from its recent minimum wage ordinance. The city of Seattle has set aside funds to help nonprofits meet the higher local minimum wage, but many nonprofit funding streams are beyond the city’s control and are not seeing similar adjustments.

In the coming years, more research on how local nonprofits are affected by local minimum wage laws needs to occur. We should expect there to be a mix of positive and negative effects within a particular nonprofit organization and across different types of organizations. Nonprofit organizations should be engaged as stakeholders in debates around higher local minimum wages. And, nonprofits should actively engage in research efforts to document the impact of higher wages. In particular, nonprofits should work to compile data that can compare staffing, service delivery, and program outcomes before and after wage laws phase-in. Such data could provide important insight into the impact of local wage ordinances.

We also should be careful not to confuse other challenges confronting the nonprofit sector with the impact of higher minimum wages. For example, private philanthropy to human service nonprofits has failed to keep up with rising need and declining public sector revenue streams in most communities—realities that may pose more serious challenges than minimum wage laws, but ones without an obvious scapegoat.

In the end, ongoing debate around local minimum wage ordinances should provide us with the opportunity to re-examine how we support community-based nonprofits as a society and assess whether that support fits with all that we expect the nonprofit sector to accomplish for children and families in our communities. 

The mayoral election in Baltimore has brought local economic development strategies to the forefront. In a city in which inequality—by income, by race, and between neighborhoods—has increased in the past five years, the candidates have made it clear that more action must be taken to close disparities and improve economic outcomes for all residents. In a podcast segment, I commend the much-needed focus on equity but argue that the mayoral candidates should not lose sight of another critical piece of the equity equation: economic growth. Citing lessons from my recent paper, I outline strategies that Baltimore’s presumptive leaders should pursue—as well as several they should abandon—to place the city’s residents on the path to a more prosperous, equitable future.

Listen to the full podcast segment here: 

Income and wealth inequality in the U.S. is a stark reality.  Research from a variety of fields demonstrates that children born into poor families tend to end up less educated, less healthy, more prone to contact with the police, and less likely to accumulate wealth over a lifetime.  In contrast, children born into well-off families tend to exhibit better outcomes on all of these dimensions.

How should social scientists and policymakers understand and address intergenerational mobility in the U.S.? This question is difficult to answer—and highly politicized.  To start with, there are several possible mechanisms driving high intergenerational persistence of economic outcomes.  These are often characterized as factors related either to “nurture” or “nature.” 

The “nurture” hypothesis asserts that poor parents lack critical resources such as wealth or information.  Such parents may therefore find it difficult to make the education and time investments that would promote better economic outcomes for their children.  If this is true, then children born into poor families never reach their full potential because of a lack of household resources. 

A second possible mechanism is often referred to as the “nature” hypothesis.  Economically successful parents might be more likely to have successful children.  Such an account hinges on the idea that there are heritable biological traits or abilities that more successful parents “pass on” to their children.

To complicate the matter further, the mechanisms of nature and nurture almost certainly operate at the same time.  Moreover, it is likely that abilities and investments interact in complicated ways. For example, a particular investment might do more to improve the outcomes of a lower-ability child than a higher-ability child, or vice versa.  Understanding this process, and how it affects intergenerational mobility, is notoriously difficult.  However, greater clarity is precisely what is needed to guide effective policy. 

If a lack of investment is the dominant mechanism explaining intergenerational persistence in economic outcomes, then we as a society may be wasting human potential.  Policies correcting under-investments in human capital could therefore be justified as economically efficient. In contrast, if the intergenerational transmission of ability plays a role, then investments in poor children’s human capital may not be enough.  To clarify, it is critical to state that the distinction we make here between “high-ability” and “low-ability” individuals should not be interpreted as a claim that some people are naturally or biologically superior to others.  We use “ability” as shorthand to describe those traits that are rewarded in the existing labor market.  Even if these abilities are linked to heritable biological factors, this does not mean that their impact on life outcomes is immutable or fixed.  Modifying environments could substantially affect genetic disparities. The case of vision and eyeglasses offer one classic example.  There may well be biological factors that explain variation in eyesight “ability,” but these biological differences will matter more or less for life outcomes depending on the availability of glasses and other medical interventions.  In short, it is very possible that the consequences of biological differences can be moderated by appropriate changes in the environment.     

Until now, researchers have typically used variables such as cognitive test scores to measure ability endowments related to human capital.  Yet, these traditional measures are subject to the critique that they are the products of earlier investments in human capital. This makes it difficult to distinguish between the “nature” and “nurture” hypotheses using such data.  Two individuals with similar ability endowments but different levels of household resources are likely to exhibit different cognitive test scores, for example. 

Using genetic information to measure ability endowments can help us better understand the intergenerational transmission of human capital.  As a measure, genetic information has a clear advantage over cognitive test scores because it is fixed at conception. Advances in measuring differences in DNA across individuals, together with very recent advances in behavioral genetics research, now make it possible to link genetic differences across people to behavioral traits.  These new discoveries have even extended to educational attainment, which was once thought to be too complicated and removed from direct biological processes for genetic analysis.

In a recent research paper, we use genetic information to better understand the nature of intergenerational mobility.  We follow the cutting edge in behavioral genetics research, which guides us in computing a type of genetic “score” for any individual.  We compute this so-called “polygenic score” for each person in a sample of over 8,000 individuals from the Health and Retirement Study (HRS). The score, which appears to be related to cognition, personality, and facility with learning, has some predictive power for educational attainment. In particular, it explains between 3.2 percent and 6.6 percent of the variation across individuals (depending on the specification). Thus, knowing the exact value of an individual’s score will tell you very little about that person (over 90 percent of the variation is explained by other factors).  However, the average relationship in the population between the score and human capital outcomes can offer some important lessons.  

Using the polygenic score, we believe we can gain new insights into how ability endowments interact with an individual’s environment to generate economic outcomes.  There is a long-standing debate in the economics literature about how ability and investments interact.  One idea is that both ability and investments are needed for success, i.e., that they complement one another. Though our findings show evidence of this type of interaction, the story that emerges from our analysis is somewhat more nuanced.  We show that ability and the environment (measured by parents’ socioeconomic status or SES) complement one another for generating higher degrees, such as college completion, but substitute for one another in generating lower levels of educational attainment such as a high school degree.  In other words, our findings suggest that ability or being born into a well-off family are enough to get an individual through high school.  For college, however, ability and a well-off family are important predictors of success.

"In other words, our findings suggest that ability or being born into a well-off family are enough to get an individual through high school. For college, however, ability and a well-off family are important predictors of success."

Another set of results concerns the wages of high-ability individuals.  We show that individuals who completed college earned substantial returns on their ability starting in the early 2000s.  Individuals without a college degree did not. The post-2000 rise in returns may be driven in part by “skill-biased technological change.”   As new technologies are adopted in the workplace, the people who benefit most are those with the skills required to adapt to and master new ways of working.  It is not difficult to imagine that people with genetic variants associated with higher education may have found it easier to adapt to computers and other new technologies.  However, we also find that a higher polygenic score was not helpful for individuals who did not complete college, likely because the lack of a college degree shut them out of careers that would have allowed them to creatively use new technologies.  This is a troubling finding given the role of childhood SES in predicting college completion.  It means that poor children with high abilities are less likely to attend college and, subsequently, are less likely to benefit from their ability.  Again, these findings suggest wasted human potential.

Using genetic data to compare individuals from different socioeconomic backgrounds, we also find that children from lower SES backgrounds systematically acquire less education when compared to similarly capable individuals from high SES backgrounds.  Among other things, this suggests that access to education may be an important obstacle, even for the highest ability children.  Our analysis offers some suggestive evidence regarding which environments are especially harmful. For example, acute negative events like physical abuse in childhood can lead to a dramatic loss of economic potential—reducing financial wealth in late adulthood for the highest ability individuals by over 50 percent.

Of course, one must be very cautious when interpreting any genetic association.  In particular, it is important to think carefully about correlation versus causality.  The same parents that pass along genetic material predicting educational attainment may also be more likely to have the resources to invest in their children.  Still, since we base our comparisons on individuals from different socioeconomic backgrounds, but with similar polygenic scores, we offer evidence that economic disparities are not solely due to nature.

In summary, recent advances in behavioral genetics have identified specific genetic variants that predict educational attainment.  The fact that such genes exist confirms previous work (largely using data on twins) showing that “nature” matters for economic outcomes.  Our research demonstrates that “nurture” matters, too.  Perhaps more importantly, our research demonstrates that the roles of “nature” and “nurture” are intertwined and that understanding the role of “nurture” (in the form of human capital investments over the life-cycle) is key to understanding how “nature” (in the form of ability endowments) operates.  In particular, we show that similarly apt individuals with different childhood SES see very different returns to their ability.  This means that policies helping children born into disadvantaged circumstances may be justified not solely for ethical reasons rooted in social justice, but perhaps also as an economically efficient way to mitigate wasted human potential.

Finally, we believe that continued progress in understanding the mechanisms underlying how “nature” affects economic outcomes will eventually lead to policies that help people who are born with different abilities.  For example, our findings suggest that some individuals had more difficulty than others in adapting to new workplace technologies, such as computers. With a fuller understanding of this process, policymakers may be able to devise better training programs or improved school curricula that help individuals of all levels of ability to better respond to a changing technological environment.  In other words we believe that our research shows that learning more about the specifics of “nature” may help us to better “nurture” all individuals in society to help them to reach their full potential.      

Editor’s note: The authors contributed equally to this posting and to the research upon which the posting is based. They are listed alphabetically by last name.

At the very heart of the American idea is the notion that, unlike in other places, we can start from nothing and through hard work have everything. That nothing we can imagine is beyond our reach. That we will pull up stakes, go anywhere, do anything to make our dreams come true. But what if that's just a myth? What if the truth is something very different? What if we are…stuck?

I. What does it mean to be an American?

Full disclosure: I'm British. Partial defense: I was born on the Fourth of July. I also have made my home here, because I want my teenage sons to feel more American. What does that mean? I don't just mean waving flags and watching football and drinking bad beer. (Okay, yes, the beer is excellent now; otherwise, it would have been a harder migration.) I'm talking about the essence of Americanism. It is a question on which much ink—and blood—has been spent. But I think it can be answered very simply: To be American is to be free to make something of yourself. An everyday phrase that's used to admire another ("She's really made something of herself") or as a proud boast ("I'm a self-made man!"), it also expresses a theological truth. The most important American-manufactured products are Americans themselves. The spirit of self-creation offers a strong and inspiring contrast with English identity, which is based on social class. In my old country, people are supposed to know their place. British people, still constitutionally subjects of Her Majesty Queen Elizabeth, can say things like "Oh, no, that's not for people like me." Infuriating.

Americans do not know their place in society; they make their place. American social structures and hierarchies are open, fluid, and dynamic. Mobility, not nobility. Or at least that's the theory. Here's President Obama, in his second inaugural address: "We are true to our creed when a little girl born into the bleakest poverty knows that she has the same chance to succeed as anybody else because she is an American; she is free, and she is equal, not just in the eyes of God but also in our own."

Politicians of the left in Europe would lament the existence of bleak poverty. Obama instead attacks the idea that a child born to poor parents will inherit their status. "The same chance to succeed as anybody else because she is an American…."

Americanism is a unique and powerful cocktail, blending radical egalitarianism (born equal) with fierce individualism (it's up to you): equal parts Thomas Paine and Horatio Alger. Egalitarian individualism is in America's DNA. In his original draft of the Declaration of Independence, Thomas Jefferson wrote that "men are created equal and independent," a sentiment that remained even though the last two words were ultimately cut. It was a declaration not only of national independence but also of a nation of independents.

The problem lately is not the American Dream in the abstract. It is the growing failure to realize it. Two necessary ingredients of Americanism—meritocracy and momentum—are now sorely lacking.

America is stuck.

Almost everywhere you look—at class structures, Congress, the economy, race gaps, residential mobility, even the roads—progress is slowing. Gridlock has already become a useful term for political inactivity in Washington, D. C. But it goes much deeper than that. American society itself has become stuck, with weak circulation and mobility across class lines. The economy has lost its postwar dynamism. Racial gaps, illuminated by the burning of churches and urban unrest, stubbornly persist.

In a nation where progress was once unquestioned, stasis threatens. Many Americans I talk to sense that things just aren't moving the way they once were. They are right. Right now this prevailing feeling of stuckness, of limited possibilities and uncertain futures, is fueling a growing contempt for institutions, from the banks and Congress to the media and big business, and a wave of antipolitics on both left and right. It is an impotent anger that has yet to take coherent shape. But even if the American people don't know what to do about it, they know that something is profoundly wrong.

II. How stuck are we?

Let's start with the most important symptom: a lack of social mobility. For all the boasts of meritocracy—only in America!—Americans born at the bottom of the ladder are in fact now less likely to rise to the top than those situated similarly in most other nations, and only half as likely as their Canadian counterparts. The proportion of children born on the bottom rung of the ladder who rise to the top as adults in the U.S. is 7.5 percent—lower than in the U.K. (9 percent), Denmark (11.7), and Canada (13.5). Horatio Alger has a funny Canadian accent now.

It is not just poverty that is inherited. Affluent Americans are solidifying their own status and passing it on to their children more than the affluent in other nations and more than they did in the past. Boys born in 1948 to a high-earning father (in the top quarter of wage distribution) had a 33 percent chance of becoming a top earner themselves; for those born in 1980, the chance of staying at the top rose sharply to 44 percent, according to calculations by Manhattan Institute economist Scott Winship. The sons of fathers with really high earnings—in the top 5 percent—are much less likely to tumble down the ladder in the U. S. than in Canada (44 percent versus 59 percent). A "glass floor" prevents even the least talented offspring of the affluent from falling. There is a blockage in the circulation of the American elite as well, a system-wide hardening of the arteries.

Exhibit A in the case against the American political elites: the U. S. tax code. To call it Byzantine is an insult to medieval Roman administrative prowess. There is one good reason for this complexity: The American tax system is a major instrument of social policy, especially in terms of tax credits to lower-income families, health-care subsidies, incentives for retirement savings, and so on. But there are plenty of bad reasons, too—above all, the billions of dollars' worth of breaks and exceptions resulting from lobbying efforts by the very people the tax system favors.

So fragile is the American political ego that we can't go five minutes without congratulating ourselves on the greatness of our system, yet policy choices exacerbate stuckness.

The American system is also a weak reed when it comes to redistribution. You will have read and heard many times that the United States is one of the most unequal nations in the world. That is true, but only after the impact of taxes and benefits is taken into account. What economists call "market inequality," which exists before any government intervention at all, is much lower—in fact it's about the same as in Germany and France. There is a lot going on under the hood here, but the key point is clear enough: America is unequal because American policy moves less money from rich to poor. Inequality is not fate or an act of nature. Inequality is a choice.

These are facts that should shock America into action. For a nation organized principally around the ideas of opportunity and openness, social stickiness of this order amounts to an existential threat. Although political leaders declare their dedication to openness, the hard issues raised by social inertia are receiving insufficient attention in terms of actual policy solutions. Most American politicians remain cheerleaders for the American Dream, merely offering loud encouragement from the sidelines, as if that were their role. So fragile is the American political ego that we can't go five minutes without congratulating ourselves on the greatness of our system, yet policy choices exacerbate stuckness and ensure decline.

In Britain (where stickiness has historically been an accepted social condition), by contrast, the issues of social mobility and class stickiness have risen to the top of the political and policy agenda. In the previous U.K. government (in which I served as director of strategy to Nick Clegg, the deputy prime minister), we devoted whole Cabinet meetings to the problems of intergenerational mobility and the development of a new national strategy. (One result has been a dramatic expansion in pre-K education and care: Every 3- and 4-year-old will soon be entitled to 30 hours a week for free.) Many of the Cabinet members were schooled at the nation's finest private high schools. A few had hereditary titles. But they pored over data and argued over remedies—posh people worrying over intergenerational income quintiles.

Why is social mobility a hotter topic in the old country? Here is my theory: Brits are acutely aware that they live in a class-divided society. Cues and clues of accent, dress, education, and comportment are constantly calibrated. But this awareness increases political pressure to reduce these divisions. In America, by contrast, the myth of classlessness stands in the way of progress. The everyday folksiness of Americans—which, to be clear, I love—serves as a social camouflage for deep economic inequality. Americans tell themselves and one another that they live in a classless land of open opportunity. But it is starting to ring hollow, isn't it?

III. For black Americans, claims of equal opportunity have, of course, been false from the founding.

They remain false today. The chances of being stuck in poverty are far, far greater for black kids. Half of those born on the bottom rung of the income ladder (the bottom fifth) will stay there as adults. Perhaps even more disturbing, seven out of ten black kids raised in middle-income homes (i.e., the middle fifth) will end up lower down as adults. A boy who grows up in Baltimore will earn 28 percent less simply because he grew up in Baltimore: In other words, this supersedes all other factors. Sixty-six percent of black children live in America's poorest neighborhoods, compared with six percent of white children.

Recent events have shone a light on the black experience in dozens of U. S. cities.

Behind the riots and the rage, the statistics tell a simple, damning story. Progress toward equality for black Americans has essentially halted. The average black family has an income that is 59 percent of the average white family's, down from 65 percent in 2000. In the job market, race gaps are immobile, too. In the 1950s, black Americans were twice as likely to be unemployed as whites. And today? Still twice as likely.

From heeding the call "Go west, young man" to loading up the U-Haul in search of a better job, the instinctive restlessness of America has always matched skills to work, people to opportunities, labor to capital.

Race gaps in wealth are perhaps the most striking of all. The average white household is now thirteen times wealthier than the average black one. This is the widest gap in a quarter of a century. The recession hit families of all races, but it resulted in a wealth wipeout for black families. In 2007, the average black family had a net worth of $19,200, almost entirely in housing stock, typically at the cheap, fragile end of the market. By 2010, this had fallen to $16,600. By 2013—by which point white wealth levels had started to recover—it was down to $11,000. In national economic terms, black wealth is now essentially nonexistent.

Half a century after the passing of the Civil Rights Act, the arc of history is no longer bending toward justice. A few years ago, it was reasonable to hope that changing attitudes, increasing education, and a growing economy would surely, if slowly, bring black America and white America closer together. No longer. America is stuck.

IV. The economy is also getting stuck.

Labor productivity growth, measured as growth in output per hour, has averaged 1.6 percent since 1973. Male earning power is flatlining. In 2014, the median full-time male wage was $50,000, down from $53,000 in 1973 (in the dollar equivalent of 2014). Capital is being hoarded rather than invested in the businesses of the future. U. S. corporations have almost $1.5 trillion sitting on their balance sheets, and many are busily buying up their own stock. But capital expenditure lags, hindering the economic recovery.

New-business creation and entrepreneurial activity are declining, too. As economist Robert Litan has shown, the proportion of "baby businesses" (firms less than a year old) has almost halved since the late 1970s, decreasing from 15 percent to 8 percent—the hallmark of "a steady, secular decline in business dynamism." It is significant that this downward trend set in long before the Great Recession hit. There is less movement between jobs as well, another symptom of declining economic vigor.

Americans are settling behind their desks—and also into their neighborhoods. The proportion of American adults moving house each year has decreased by almost half since the postwar years, to around 12 percent. Long-distance moves across state lines have as well. This is partly due to technological advances, which have weakened the link between location and job prospects, and partly to the growth of economic diversity in cities; there are few "one industry" towns today. But it is also due to a less vibrant housing market, slower rates of new business creation, and a lessening in Americans' appetite for disruption, change, and risk.

This geographic settling is at odds with historic American geographic mobility. From heeding the call "Go west, young man" to loading up the U-Haul in search of a better job, the instinctive restlessness of America has always matched skills to work, people to opportunities, labor to capital. Rather than waiting for help from the government, or for the economic tide to turn back in their favor, millions of Americans changed their life prospects by changing their address. Now they are more likely to stay put and wait. Others, especially black Americans, are unable to escape the poor neighborhoods of their childhood. They are, as the title of an influential book by sociologist Patrick Sharkey puts it, Stuck in Place.

There are everyday symptoms of stuckness, too. Take transport. In 2014, Americans collectively spent almost seven billion hours stuck motionless in traffic—that's a couple days each. The roads get more jammed every year. But money for infrastructure improvements is stuck in a failing road fund, and the railophobia of politicians hampers investment in public transport.

Whose job is it to do something about this? The most visible symptom of our disease is the glue slowly hardening in the machinery of national government. The last two Congresses have been the least productive in history by almost any measure chosen, just when we need them to be the most productive. The U. S. political system, with its strong separation among competing centers of power, relies on a spirit of cross-party compromise and trust in order to work. Good luck there.

V. So what is to be done?

As with anything, the first step is to admit the problem. Americans have to stop convincing themselves they live in a society of opportunity. It is a painful admission, of course, especially for the most successful. The most fervent believers in meritocracy are naturally those who have enjoyed success. It is hard to acknowledge the role of good fortune, including the lottery of birth, when describing your own path to greatness.

There is a general reckoning needed. In the golden years following World War II, the economy grew at 4 percent per annum and wages surged. Wealth accumulated. The federal government, at the zenith of its powers, built interstates and the welfare system, sent GIs to college and men to the moon. But here's the thing: Those days are gone, and they're not coming back. Opportunity and growth will no longer be delivered, almost automatically, by a buoyant and largely unchallenged economy. Now it will take work.

The future success of the American idea must now be intentional.

Entrepreneurial, mobile, aspirational: New Americans are true Americans. We need a lot more of them.

There are plenty of ideas for reform that simply require will and a functioning political system. At the heart of them is the determination to think big again and to vigorously engage in public investment. And we need to put money into future generations like our lives depended on it, because they do: Access to affordable, effective contraception dramatically cuts rates of unplanned pregnancy and gives kids a better start in life. Done well, pre-K education closes learning gaps and prepares children for school. More generous income benefits stabilize homes and help kids. Reading programs for new parents improve literacy levels. Strong school principals attract good teachers and raise standards. College coaches help get nontraditional students to and through college. And so on. We are not lacking ideas. We are lacking a necessary sense of political urgency. We are stuck.

But we can move again if we choose.

In addition to a rejuvenation of policy in all these fields, there are two big shifts required for an American twenty-first-century renaissance: becoming open to more immigration and shifting power from Washington to the cities.

VI. America needs another wave of immigration.

This is in part just basic math: We need more young workers to fund the old age of the baby boomers. But there is more to it than that. Immigrants also provide a shot in the arm to American vitality itself. Always have, always will. Immigrants are now twice as likely to start a new business as native-born Americans. Rates of entrepreneurialism are declining among natives but rising among immigrants.

Immigrant children show extraordinary upward-mobility rates, shooting up the income-distribution ladder like rockets, yet by the third or fourth generation, the rates go down, reflecting indigenous norms. Among children born in Los Angeles to poorly educated Chinese immigrants, for example, an astonishing 70 percent complete a four-year-college degree. As the work of my Brookings colleague William Frey shows, immigrants are migrants within the U. S., too, moving on from traditional immigrant cities—New York, Los Angeles—to other towns and cities in search of a better future. Entrepreneurial, mobile, aspirational: New Americans are true Americans. We need a lot more of them.

This makes a mockery of our contemporary political "debates" about immigration reform, which have become intertwined with race and racism. Some Republicans tap directly into white fears of an America growing steadily browner. More than four in ten white seniors say that a growing population of immigrants is a "change for the worse"; half of white boomers believe immigration is "a threat to traditional American customs and values." But immigration delves deeper into the question of American identity than it does even issues of race. Immigrants generate more dynamism and aspiration, but they are also unsettling and challenging. Where this debate ends will therefore tell us a great deal about the trajectory of the nation. An America that closes its doors will be an America that has chosen to settle rather than grow, that has allowed security to trump dynamism.

VII. The second big shift needed to get America unstuck is a revival of city and state governance.

Since the American Dream is part of the national identity, it seems natural to look to the national government to help make it a reality. But cities are now where the American Dream will live or die. America's hundred biggest metros are home to 67 percent of the nation's population and 75 percent of its economy. Americans love the iconography of the small town, even at the movies—but they watch those movies in big cities.

Powerful mayors in those cities have greater room for maneuvering and making an impact than the average U. S. senator. Even smaller cities and towns can be strongly influenced by their mayor.

There are choices to be made. Class divisions are hardening. Upward mobility has a very weak pulse. Race gaps are widening.

The new federalism in part is being born of necessity. National politics is in ruins, and national institutions are weakened by years of short-termism and partisanship. Power, finding a vacuum in D. C., is diffusive. But it may also be that many of the big domestic-policy challenges will be better answered at a subnational level, because that is where many of the levers of change are to be found: education, family planning, housing, desegregation, job creation, transport, and training. Amid the furor over Common Core and federal standards, it is important to remember that for every hundred dollars spent on education, just nine come from the federal government.

We may be witnessing the end of many decades of national-government dominance in domestic policy-making (the New Deal, Social Security, Medicare, welfare reform, Obamacare). The Affordable Care Act is important in itself, but it may also come to have a place in history as the legislative bookend to a long period of national-policy virtuosity.

The case for the new federalism need not be overstated. There will still be plenty of problems for the national government to fix, including, among the most urgent, infrastructure and nuclear waste. The main tools of macroeconomic policy will remain the Federal Reserve and the federal tax code. But the twentieth-century model of big federal social-policy reforms is in decline. Mayors and governors are starting to notice, and because they don't have the luxury of being stuck, they are forced to be entrepreneurs of a new politics simply to survive.

VIII. It is possible for America to recover its earlier dynamism, but it won't be easy.

The big question for Americans is: Do you really want to? Societies, like people, age. They might also settle down, lose some dynamism, trade a little less openness for a little more security, get a bit stuck in their ways. Many of the settled nations of old Europe have largely come to terms with their middle age. They are wary of immigration but enthusiastic about generous welfare systems and income redistribution. Less dynamism, maybe, but more security in exchange.

America, it seems to me, is not made to be a settled society. Such a notion runs counter to the story we tell ourselves about who we are. (That's right, we. We've all come from somewhere else, haven't we? I just got here a bit more recently.) But over time, our narratives become myths, insulating us from the truth. For we are surely stuck, if not settled. And so America needs to decide one way or the other. There are choices to be made. Class divisions are hardening. Upward mobility has a very weak pulse. Race gaps are widening. The worst of all worlds threatens: a European class structure without European welfare systems to dull the pain.

Americans tell themselves and the world that theirs is a society in which each and all can rise, an inspiring contrast to the hereditary cultures from which it sprang. It's one of the reasons I'm here. But have I arrived to raise my children here just in time to be stuck, too? Or will America be America again?

Editor's note: This piece originally appeared in Esquire.

Event Information

With a number elections now underway in Europe and the United States, populist politicians are gaining support by tapping into frustration with the lingering effects of the global financial crisis and the eurocrisis, mounting fears of terrorism, concerns surrounding record levels of migration, and growing doubt over political elites’ abilities to address these and other crises. The global economic order is already beginning to be impacted by the mounting political pressure against it. Trade deals such as the Trans-Pacific Partnership that form the cornerstone of the global economic order have met with significant resistance. Brexit’s reverberations have already been felt in international markets. Fissures within the European Union and American anxiety towards a U.S. global role could have a pronounced impact on the international economic system.

On July 14, the Brookings Project on International Order and Strategy (IOS) hosted an event tied to the recent publication of Nonresident Senior Fellow Daniel Drezner’s new paper, “Five Known Unknowns about the Next Generation Global Political Economy.” The event was an opportunity to discuss the future of the global economic order given rising populism and discontent with globalization. Panelists included Nonresident Senior Fellow Daniel Drezner, professor of international politics at the Fletcher School of Law and Diplomacy at Tufts University; Caroline Atkinson, head of Google’s global public policy team and former White House deputy national security advisor for international economics; and David Wessel, director of the Brookings Hutchins Center on Fiscal and Monetary Policy.

Thomas Wright, director of IOS, provided brief opening remarks and moderated the discussion.

Video

• The future of the global economic order in an era of rising populism

Audio

• The future of the global economic order in an era of rising populism

Transcript

• Uncorrected Transcript (.pdf)

Event Materials

• 20160714_global_economic_order_transcript

Editor's Note: This blog post is part of The Primaries Project series, where veteran political journalists Jill Lawrence and Walter Shapiro, along with scholars in Governance Studies, examine the congressional primaries and ask what they reveal about the future of each political party and the future of American politics.

Even though they have come to dominate political campaigns, Super PACs and their shadowy counterparts are barely old enough to qualify for pre-kindergarten. Since these big-bucks independent groups have only been legal since 2010, we are still groping to understand the long-term role that Super PACs are apt to play in congressional politics—especially primaries.

With the demonization of the Koch Brothers by the Democrats and the attacks on liberal givers like Tom Steyer from the right, it is easy to assume that Super PAC donors are ideologues. Scorched-earth contests like the Mississippi Republican Senate primary further fuel this impression. Thad Cochran versus Chris McDaniel could be viewed as a proxy war between the GOP establishment (personified by Karl Rove's Super PAC American Crossroads) and the Tea Party (working through groups like Club for Growth Action).

But there is another very important, but far less publicized, role that Super PACs are playing in this year's congressional primaries. And when the internecine warfare in the Republican Party dies down, this type of Super PAC involvement in party primaries may become the norm.

Two recent GOP House primaries in winnable districts in New York illustrate this alternative model. In both cases, Super PACs took on the role—once left to the political parties—of vetting the candidates. Super PAC donors and their campaign consultants made their own decisions about who is electable and who has the right political pedigree. And in these New York primary contests without any clear ideological markers, heavy spending by Super PACs made all the difference.

Twenty-nine-year-old Elise Stefanik was a major beneficiary of Super PAC spending in her primary in New York's rural 21st District that runs from the Saratoga racetrack to the Canadian border. Stefanik has never run for public office before, but she boasts all of the right credentials to appeal to Washington Republican politicos. Even though she calls herself a "small businesswoman" in her TV ads, Stefanik served on the White House domestic policy staff under George W. Bush and was in charge of 2012 debate preparation for Paul Ryan.

Small wonder that American Crossroads and Karl Rove invested heavily in Stefanik's primary race, spending  $772,000 in attack ads excoriating her GOP rival, Matt Doheny. This was, by the way, the only House primary in the nation in which American Crossroads has made a significant investment to distinguish between Republicans. And the Super PAC's involvement was certainly not motivated by ideology. As the Watertown Daily Times put it on the eve of the Stefanik-Doheny primary, "It's difficult to point to a single issue on which a big divide exists between the two."

Yes, Doheny—a largely self-funding investment banker who had lost two prior races for the House—was a flawed Republican candidate. And Stefanik was the embodiment of the kind of message discipline beloved by campaign consultants. But it is hard to believe that electability alone prompted attack ads with tag lines like: "Matt Doheny—it would be a big mistake to send him to Congress."

American Crossroads, which spent more than either the Stefanik or Doheny campaigns, prevailed in the June 24th primary. Stefanik romped home with 61 percent of the primary vote.

The same pattern emerged in the Republican primary in New York's 1st District on the tip of Long Island. The major player this time was the US Jobs Council, which is heavily funded by hedge-fund mogul Robert Mercer, whose home is in the district. As Mother Jones reported in an article by Molly Redden, Mercer's Ahab-like obsession has been defeating Democratic incumbent Tim Bishop ever since the congressman voted for the Dodd-Frank financial reform legislation.

Both candidates in the Republican primary to oppose Bishop had their weaknesses in appealing to a conservative electorate. State Senator Lee Zeldin carried the burden of votes in Albany that could be interpreted as raising taxes. George Demos, a former SEC lawyer, was heavily supported by his wife's in-laws who, in normal times, are liberal California Democrats.

In truth, there were scant philosophical differences between the two conservative Republicans. Newsday columnist Lane Filler wrote, "Both oppose abortion, think taxes are too high, support gun rights, hate Common Core, favor a strong national defense, are against 'amnesty' for immigrants here illegally...I have not turned up any meaningful difference between them on policy."

But that didn't prevent the US Jobs Council from spending more than $200,000 on attack ads that portrayed Demos, who had been endorsed by Rudy Giuliani and George Pataki, as a creature of "Nancy Pelosi's people." A typical ad charged that Demos "is trying to use the Pelosi cash machine to buy a seat in Congress."

Even though Demos donated $2 million to his own campaign, it was not enough to hold off the onslaught of Super PAC attacks. In the end, Zeldin defeated Demos in the primary by a 62-to-38 percent margin.

Politico reporter Ken Vogel in his praiseworthy new book, Big Money, likens Super PAC donors to meddlesome "sports junkies who plunk down hundreds of millions of dollars to buy a professional team." Often the motivation of these mega-givers is the arrogant belief that because they are rich, they know more about politics than the pros. With it comes the certainty that they can pick winners and losers in primaries just like they do with stocks on Wall Street.

And that is why the heavy Super PAC influence in these two little-covered New York House primaries may represent the wave of the future in party politics.