This is the first in a series of reports on the demographic and political dynamics under way in 10 “battleground” states, deemed to be crucial in deciding the 2008 election. As part of the Metropolitan Policy Program’s Blueprint for American Prosperity, this series will provide an electoral component to the initiative’s analysis of and prescriptions for bolstering the health and vitality of America’s metropolitan areas, the engines of the U.S economy. This report focuses on Pennsylvania. Among its specific findings are:

• Pennsylvania is becoming a demographic “bridge” between Midwestern states like Ohio and other Northeastern states like New Jersey, as its new growth is tied to urban coastal regions. While often classed as a so-called “Rust Belt” state, its eastern and south central regions are increasingly becoming part of the nation’s Northeast Corridor, with new growth and demographic profiles that warrant attention in upcoming elections.
• Eligible voter populations indicate a state in transition, where minorities, especially Hispanics, and white college graduates are increasingly important, but where white working class voters continue to play a central role. While white working class voters continue to decline as a share of voters and are less likely to work in manufacturing and goods production, they are still a critical segment of voters, including in the fast-growing Harrisburg and Allentown regions where their absolute numbers are actually increasing.
• Recent Democratic victories in Pennsylvania have featured strong support from groups like minorities, single women, and the young but have also benefited from relatively strong support among the white working class, especially among its upwardly mobile segment that has some college education. Compared to 1988, both the latter group and white college graduates have increased their support for Democrats. And both groups have increased their share of voters over the time period.
• Political shifts in Pennsylvania since 1988 have seen the growing eastern part of the state swing toward the Democrats, producing four straight presidential victories for that party. The swing has been sharpest in the Philadelphia suburbs, but has also been strong in the Allentown region and even affected the pro-Republican Harrisburg region. Countering this swing, the declining western part of the state has been moving toward the GOP.
• Key trends and groups to watch in 2008 include the white working class, especially whites with some college, who, unlike the rest of this group, are growing; white college graduates; and Hispanics, who have been driving the growth of the minority vote.

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Before the City Club in Cleveland, Bruce Katz emphasized the importance of Ohio's older industrial cities for the state's overall prosperity and outlined, despite seemingly grim statistics, why now is the time for a rebirth of those places and how it can be achieved.

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There is a lot of hope around the potential of Big Data—massive volumes of data (such as cell phone GPS signals, social media posts, online digital pictures and videos, and transaction records of online purchases) that are large and difficult to process with traditional database and software techniques—to help achieve the sustainable development goals. The United Nations even calls for using the ongoing Data Revolution –the explosion in quantity and diversity of Big Data—to make more and better data usable to inform development analysis, monitoring and policymaking: In fact, the United Nations believes that that “Data are the lifeblood of decision-making and the raw material for accountability. Without high-quality data providing the right information on the right things at the right time; designing, monitoring and evaluating effective policies becomes almost impossible.” The U.N. even held a “Data Innovation for Policy Makers” conference in Jakarta, Indonesia in November 2014 to promote use of Big Data in solving development challenges.

Big Data has already played a role in development: Early uses of it include the detection of influenza epidemics using search engine query data or the estimation of a country’s GDP by using satellite data on night lights. Work is also under way by the World Bank to use Big Data for transport planning in Brazil.

During the Data for Development session at the recent NetMob conference at MIT, we presented a paper in which we jump on the Big Data bandwagon. In the paper, we use mobile phone data to assess how the opening of a new toll highway in Dakar, Senegal is changing how people commute to work (human mobility) in this metropolitan area. The new toll road is one of the largest investments by the government of Senegal and expectations for its developmental impact are high. In particular, the new infrastructure is expected to increase the flow of goods and people into and out of Dakar, spur urban and rural development outside congested areas, and boost land valuation outside Dakar. Our study is a first step in helping policymakers and other stakeholders benchmark the impact of the toll road against many of these objectives.

Assessing how the impact of the new toll highway differs by area and how it changes over time can help policymakers benchmark the performance of their investment and better plan the development of urban areas.

The Dakar Diamniadio Toll Highway (in red in Figure 1), inaugurated on August 1, 2013 is the first section (32 km or 20 miles) of a broader project to connect the capital, Dakar, through a double three-lane highway to a new airport (Aeroport International Blaise Diagne, AIBD) and a special economic zone, the Dakar Integrated Special Economic Zone (DISEZ) and the rest of the country.

Note: The numbers indicate the incidence of increased inter cell mobility and were used to calculate the percentage increase in mobility.

The cost of this large project is estimated to be about $696 million (FCFA 380.2 billion or 22.7 percent of 2014 fiscal revenues, excluding grants) with the government of Senegal having already disbursed $353 million. The project is one of the first toll roads in sub-Saharan Africa (excluding South Africa) structured as a public-private partnership (PPP) and includes multilateral partners such as the World Bank, the French Development Agency, and the African Development Bank.

In our study, we ask whether the new toll road led to an increase in human mobility and, if so, whether particular geographical areas experienced higher or lower mobility relative to others following its opening.

Using mobile phone usage data (Big Data), we use statistical analysis in our paper to approximate where people live and where they work. We then estimate how the reduction in travel time following the opening of the toll road changes the way they commute to work.

As illustrated in the map of Figure 1, we find some interesting trends:

• Human mobility in the metropolitan Dakar area increased on average by 1.34 percent after the opening of the Dakar Diamniadio Toll Highway. However, this increase masks important disparities across the different sub-areas of the Dakar metropolitan areas. Areas in blue in Figure 1 are those for which mobility increased after the opening of the new road toll while those in red experienced decreased mobility.
• In particular, the Parcelles Assainies suburban area benefited the most from the toll road with an increase in mobility of 26 percent. The Centre Ville (downtown) area experienced a decrease in mobility of about 20 percent.

These trends are important and would have been difficult to discover without Big Data. Now, though, researchers need to parse through the various reasons these trends might have occurred. For instance, the Parcelles Assainies area may have benefited the most because of its closer location to the toll road whereas the feeder roads in the downtown area may not have been able to absorb the increase in traffic from the toll road. Or people may have moved from the downtown area to less expensive areas in the suburbs now that the new toll road makes commuting faster.

From these preliminary results (our study is work in progress, and we will be improving its methodology), we are encouraged by the fact that our method and use of Big Data has three areas of application for a project such as this:

Benchmarking: Our method can be used to track how the impact of the Dakar Diamniadio Toll Highway changes over time and for different areas of the Dakar metropolitan areas. This process could be used to study other highways in the future and inform highway development overall.

Zooming in: Our analysis is a first step towards a more granular study of the different geographic areas within the Dakar suburban metropolitan area, and perhaps inspire similar studies around the continent. In particular, it would be useful to study the socio-economic context within each area to better appreciate the impact of new infrastructure on people’s lives. For instance, in order to move from estimates of human mobility (traffic) to measures of “accessibility,” it will be useful to complement the current analysis with an analysis of land use, a study of job accessibility, and other labor markets information for specific areas. Regarding accessibility, questions of interest include: Who lives in the areas most/least affected? What kind of jobs do they have access to? What type of infrastructure do they have access to? What is their income level? Answers to these questions can be obtained using satellite information for land prices, survey data (including through mobile phones) and data available from the authorities. Regarding urban planning, questions include: Is the toll diverting the traffic to other areas? What happens in those areas? Do they have the appropriate infrastructure to absorb the increase in traffic?

Zooming out: So far, our analysis is focused on the Dakar metropolitan area, and it would be useful to assess the impact of new infrastructure on mobility between the rest of the country and Dakar. For instance, the analysis can help assess whether the benefits of the toll road spill over to the rest of the country and even differentiate the impact of the toll road on the different regions of the country.

This experience tells us that there are major opportunities in converting Big Data into actionable information, but the impact of Big Data still remains limited. In our case, the use of mobile phone data helped generate timely and relatively inexpensive information on the impact of a large transport infrastructure on human mobility. On the other hand, it is clear that more analysis using socioeconomic data is needed to get to concrete and impactful policy actions. Thus, we think that making such information available to all stakeholders has the potential not only to guide policy action but also to spur it. 

References

Atkin, D. and D. Donaldson (2014). Who ’ s Getting Globalized ? The Size and Implications of Intranational Trade Costs . (February).

Clark, X., D. Dollar, and A. Micco (2004). Port efficiency, maritime transport costs, and bilateral trade. Journal of Development Economics 75(2), 417–450, December.

Donaldson, D. (2013). Railroads of the Raj: Estimating the Impact of Transportation Infrastructure. forthcoming, American Economic Review.

Fetzer Thiemo (2014) “Urban Road Construction and Human Commuting: Evidence from Dakar, Senegal.” Mimeo

Ji, Y. (2011). Understanding Human Mobility Patterns Through Mobile Phone Records : A cross-cultural Study.

Simini, F., M. C. Gonzalez, A. Maritan, and A.-L. Barab´asi (2012). A universal model for mobility and migration patterns. Nature 484(7392), 96–100, April.

Tinbergen, J. (1962). Shaping the World Economy; Suggestions for an International Economic Policy.

Yuan, Y. and M. Raubal (2013). Extracting dynamic urban mobility patterns from mobile phone data.

Last month, we experienced yet another breakthrough in the epic battle of man against machine. Google’s AlphaGo won against the reigning Go champion Lee Sedol. This success, however, was different than that of IBM’s Deep Blue against Gary Kasparov in 1987. While Deep Blue still applied “brute force” to calculate all possible options ahead, AlphaGo was learning as the game progressed. And through this computing breakthrough that we can learn how to better leverage the data revolution.

In the game of Go, brute-force strategies don’t help because the total number of possible combinations exceeds the number of atoms in the universe. Some games, including some we played since childhood, were immune to computing “firepower” for a long time. For example, Connect Four wasn’t solved until 1995 with the conclusion being the first player can force a win. And checkers wasn’t until 2007, when Jonathan Schaeffer determined that in a perfect game, both sides could force a draw. For chess, a safe strategy has yet to be developed, meaning that we don’t know yet if white could force a win or, like in checkers, black could manage to hold on to a draw.

But most real-life situations are more complicated than chess, precisely because the universe of options is unlimited and solving them requires learning. If computers are to help, beyond their use as glorified calculators, they need to be able to learn. This is the starting point of the artificial intelligence movement.  In a world where perfection is impossible, you need well-informed intuition in order to advance. The first breakthrough in this space occurred when IBM’s Watson beat America’s Jeopardy! champions in 2011. These new intelligent machines operate in probabilities, not in certainty.

That being said, perfection remains important, especially when it comes to matters of life and death such as flying airplanes, constructing houses, or conducting heart surgery, as these areas require as much attention to detail as possible. At the same time, in many realms of life and policymaking we fall into a perfection trap. We often generate obsolete knowledge by attempting to explain things perfectly, when effective problem solving would have been better served by real-time estimates. We strive for exactitude when rough results, more often than not, are good enough.

By contrast, some of today’s breakthroughs are based on approximation. Think of Google Translate and Google’s search engine itself. The results are typically quite bad, but compared to the alternative of not having them at all, or spending hours leafing through an encyclopedia, they are wonderful. Moreover, once these imperfect breakthroughs are available, one can improve them iteratively. Only once the first IBM and Apple PCs were put on the market in the 1980s did the cycle of upgrading start, which still continues today.

In the realm of social and economic data, we have yet to reach this stage of “managed imperfection” and continuous upgrading. We are producing social and economic forecasts with solid 20th century methods. With extreme care we conduct poverty assessments and maps, usually taking at least a year to produce as they involve hundreds of enumerators, lengthy interviews and laborious data entry. Through these methods we are able to perfectly explain past events, but we fail to estimate current trends—even imperfectly.

The paradox of today’s big data era is that most of that data is poor and messy, even though the possibilities for improving it are unlimited. Almost every report from development institutions starts with a disclaimer highlighting “severe data limitations.” This is because only 0.5 percent of all the available data is actually being curated to be made usable. If data is the oil of the 21st century, we need data refineries to convert the raw product into something that can be consumed by the average person.

Thanks to the prevalence of mobile device and rapid advances in satellite technology, it is possible to produce more data faster, better, and cheaper. High-frequency data also makes it possible to make big data personal, which also increases the likelihood that people act on it. Ultimately, the breakthroughs in big data for development will be driven by managerial cultures, as has been the case with other successful ventures. Risk averse cultures pay great attention to perfection. They nurture the fear of mistakes and losing. Modern management accepts failure, encourages trial and error, and reaches progress through interaction and continuous upgrading.

Editor's Note: As part of the 2014 Midterm Elections Series, Brookings scholars and outside experts will weigh in on issues that are central to this year's campaigns, how the candidates are engaging those topics, and what will shape policy for the next two years.

Since the Citizens United decision, political spending by outside groups has been shaping voters’ opinions before Election Day and public policy afterwards.  Spending patterns that began after the 2010 decision will continue during the upcoming midterms: nonparty, outside spending will flow through two distinct pipelines—super PACs and politically active nonprofits. This time around there seems to be a partisan split to the spending, with Democrats leaning towards super PACs and Republicans relying more on dark money nonprofits. But whichever tool is used to funnel money into competitive races, imperfect or non-existent disclosure rules leave voters unable to determine whether access and influence is being sold to highest bidder.

Shining a brighter light on super PAC and nonprofit campaign spending would not cleanse the system of all of its corrupting influences, but it would help to restore citizens’ trust in government by eliminating the secrecy that makes voters believe their elected officials have something to hide. More disclosure would also result in the equally important outcome of demonstrating that government trusts us, its citizens, with information about how the influence industry works.   

When Thomas Jefferson wrote, “Whenever the people are well-informed, they can be trusted with their own government...whenever things get so far wrong as to attract their notice, they may be relied on to set them to rights,” he certainly could not have conceived of secret money’s impact on elections and policy-making. But every year that goes by with Congress failing to address secret campaign spending challenges the founding father’s time-tested wisdom.

When the Supreme Court decided Citizens United, it was either willfully blind or sorely naïve about the state of political finance disclosure. Justice Kennedy swept aside concerns about the corrupting influence of unlimited political spending by claiming that, “With the advent of the Internet, prompt disclosure of expenditures can provide shareholders and citizens with the information needed to hold corporations and elected officials accountable for their positions. . . This transparency enables the electorate to make informed decisions and give proper weight to different speakers and messages.”

Unfortunately, no such prompt disclosure existed at the time, nor has Congress been able to pass any improvements to the transparency regime since then. In the case of super PACs, while information about donors must eventually be disclosed to the Federal Election Commission (FEC), disclosures can be delayed by up to three months.  This is not an inconsequential delay, especially when contributions come are in the multi-million dollar range.

There is even less disclosure by politically active nonprofits.  Their overall expenditures are only disclosed after the election in annual reports filed with the Internal Revenue Service (IRS). The donors to dark money groups may never be known, as the law does not require the names of donors to such groups to be disclosed. Yet more than 55 percent of advertising has been paid for by dark money groups, and 80 percent advertising benefitting Republican candidates has been paid for with undisclosed funds according to the New York Times. 

Congress and the executive branch have no shortage of methods to make money in politics more transparent, but have so far failed to demonstrate they respect voters enough to entrust us with that information.  The Real Time Transparency Act (S. 2207, H.R. 4442) would ensure that contributions of $1000 or more to candidates, parties and PACs, including super PACs, are disclosed within 48 hours. It would also require electronic filing of campaign finance reports.  The DISCLOSE Act, S. 2516, would disclose contributors to political nonprofits entrusting voters with information that currently is only known to the candidates who may benefit from dark money contributions. 

Affirmative congressional action would be the strongest signal that government trusts its citizens, but executive branch agencies can also take important steps to make political finance information more transparent. The IRS is in the process of reforming rules to better clarify when a nonprofit is a political organization and thus must disclose its donors.  The Securities and Exchange Commission can likewise modify its rules to require publicly traded companies to disclose their political activities.

Many large donors have gone to great lengths to take their political activities underground, claiming they fear attacks in the form of criticism or boycotts of their companies.  But just as participating in the political process through contributing to election efforts is an expression of free speech, so is criticizing such efforts.  Yet until campaign finance information is fully and quickly made public, the first amendment rights of voters and their ability to participate fully in our democracy are drastically shortchanged.

Policy Brief #179

During an "exit interview" with the Wall Street Journal, departing National Economic Council Director Lawrence Summers argued that history would judge the United States based on how well we adjust to China’s emergence as a great power, economically and politically. In the face of China’s progress, America’s manufacturing sector faces major challenges in becoming and remaining competitive and our choice of national economic policies will affect how well we meet those challenges. It is essential that the U.S. trade deficit not balloon as the economy recovers. There is scope to expand our exports in services and agriculture, but improving the competitiveness of U.S. manufacturing is vital.

The U.S. Trade Deficit: Background

Components of the Trade Deficit. The U.S. trade deficit in goods and services was just under $700 billion in 2008—4.9 percent of Gross Domestic Product (GDP). However, the deficit in goods trade was nearly $835 billion, which was partially offset by a $136 billion surplus in services trade. The latter surplus has grown consistently over a range of service types and has important potential to expand. Going forward, we can assume this surplus will remain around one percent of GDP. But services trade surpluses alone cannot solve the U.S. trade deficit problem, because of persistent large deficits in goods trade.

Very important are deficits in the energy sector. In 2008, petroleum products accounted for $386 billion of the total trade deficit (2.7 percent of GDP). reducing energy imports (and consumption) is a significant challenge for the U.S. economy, and with global energy demand continuing to rise and supply constrained, oil prices are more likely to rise than fall. The U.S. bill for imported oil is unlikely to fall below 2.7 percent of GDP for years to come.

In future, for overall U.S. trade in goods and services to be balanced, non-energy products (that is, manufactured and agricultural products) would have to achieve a surplus of around 1.7 percent of GDP. Added to the one percent services surplus, the two would balance out the almost unavoidable petroleum deficit.

Obviously, elements in this rough calculation could shift, for better or worse, but if the U.S. economy is to achieve a more balanced growth path, the competitive position of U.S. manufacturing must improve sharply.

Growth of the U.S. Trade Deficit. In 1999, the U.S. economy was experiencing strong growth and low inflation, but the trade deficit in manufactured and agricultural products was high—$262.5 billion—and concentrated in four broad industry categories. The largest deficit was in plastic, wood and paper products ($62 billion). Transportation equipment—from autos to aerospace—was close behind ($61 billion), followed by textiles and apparel ($52 billion) and computers and electronics ($44 billion). Only two categories had trade surpluses: chemicals at more than $9 billion and agriculture at $4 billion.

By 2008, the trade deficit had risen to $400 billion, an increase of $138 billion or nearly 52 percent in nominal terms. The deficit in computers and electronics accounted for nearly half of the overall increase in the trade deficit (48 percent, a $66 billion increase). Two other industries had large deficit increases: plastic, wood and paper products; and textiles and apparel. By contrast, agricultural products contributed an additional $27 billion to a small 1999 surplus. And transportation equipment reduced its trade deficit by nearly $12 billion. Chart 1 illustrates how the increase in the U.S. goods trade deficit (excluding oil) was distributed by segment between 1999 and 2008.

Rising Imports from China

Simply put, the United States runs chronic trade deficits and China runs trade surpluses because we spend more than we produce, and they do the opposite. The U.S. trade deficit with China in manufactured and agricultural products was already large in 1999—$68.6 billion or 26 percent of the nation’s total trade deficit. By 2008, it had increased to nearly $268 billion. The story of the increasing U.S. trade deficit from 1999-2008—apart from oil—is the explosion in the deficit with China.

Computers and electronic products account for much of the increase in U.S. imports from China. In 2008, China exported $108 billion in these products to the United States, up from less than $19 billion in 1999. Beyond this sector, Chinese exports to the United States have grown strongly pretty much across the board. Although the United States exports agricultural products to China, there is a large return flow of processed and labor-intensive food products. And, while Chinese textile and apparel imports have risen, U.S. demand for Chinese goods in this category has grown only modestly as other emerging economies have become major clothing exporters.

The Nature of Chinese Exports. On a visit to China early in 2010, I heard a memorable speech declaring that the United States is exploiting China. The Chinese perception is based on where profits land. For example, a 2009 survey by Greg Linden, Kenneth Kraemer and Jason Dedrick of the University of California suggests that Apple, Inc. sells iPhones or iPods for several hundred dollars, most of them “made in China,” but the Chinese producer and Chinese workers receive just under four dollars apiece. The retail price of the 2005 video iPod was $299, the wholesale price $224 and the factory price $144.56. The largest part of the factory price ($101.40) came from Japanese components, with U.S. companies other than Apple supplying $14.14 in components and many different suppliers providing other small components. The final assembly and checking is done in China for $3.86, while Apple’s estimated gross margin is $80 per unit sold at wholesale, plus a portion of the retail margin through its Apple online and retail stores.

These same researchers deconstructed the value of a 2005 Hewlett-Packard Notebook PC, which sold at retail for $1,399 and had a factory cost of $856.33. Intel and Microsoft received a total of $305.43 for each computer sold, while the assembly and checking done in China netted $23.76— only 1.7 percent of the retail price. China’s massive export boom in computers and electronics derives from the fact that it is a very good place to assemble electronic products that clearly benefit U.S. companies’ profits. However, China’s policymakers want change; they are determined to attempt to obtain more of the value added of the goods their citizens assemble.

The place of China as a supplier to the United States is further illuminated in the forthcoming book Rising Tide: Is Growth in Emerging Economies Good for the United States? by Lawrence Edwards and Robert Lawrence, who have taken a detailed look at the “unit values” of traded products, particularly U.S. exports and imports. Detailed trade data identify specific classes of products and provide total dollar value and number of physical items sold in each class. For example, the data report the value of electric motors exported by China to the United States, along with the number of motors, which allows a calculation of the price per motor. If a country is selling motors for electric shavers or toys, the unit value will be small; if the motors are for large capital goods, the unit value will be high.

Edwards and Lawrence find a striking result for China, one that also applies to other emerging economies. It turns out that unit values in the same product categories are hugely different. China sells low unit value products to the United States, and the United States sells high unit value products around the world. These price differentials are so great, in fact, they suggest the United States and China are not really competing. They are making completely different things. Perhaps even more surprising, over the past several years, there appears to be no tendency for the unit values to converge. This contradicts the hypothesis that China is successfully moving up the technology or “value ladder.” Instead, U.S. competitors are Europe and Japan.

Although the volume of Chinese exports to the United States has soared, in high-tech, as we saw, it is assembling components originating elsewhere and, in other industries, it is making primarily low value products, such as toys and children’s clothing— market niches where the U.S. would not be expected to be competitive.

China and Multinational Companies

When China emerged from the Cultural Revolution and started on a path to become a productive and market-oriented economy, it faced massive educational, technological and business hurdles. Competent scientists, engineers and managers had been exiled and “re-educated.” Heroic efforts were needed to catch up to developed nations’ economies. Asian precursors such as Japan and Korea had faced their own catch-up challenges, taking advantage of the global market in capital goods to help them, and China followed their lead. Unlike the others, China encouraged direct foreign investments and required partnerships with domestic businesses. These relationships provided not only financing, but also the business and technology skills of global corporations and sped development of Chinese companies.

Germany provides a fascinating case study of the benefits and perils of a strong relationship with China. Spiegel Online notes that the most important driving force behind the current German economic upswing is its exports of sophisticated capital goods to China. German companies find, however, that the Chinese demand access to their industrial know-how. German businesses are reluctant to offend their Chinese customers, but deeply concerned about the loss of intellectual property. Beijing does not want merely to catch up to German companies—its goal is to surpass them. It has already done so in the manufacture of solar panels, by subsidizing research into solar technology. China exports perhaps 70 percent of its output of solar panels, about half of which goes to Germany, where demand is heavily subsidized by the German government. In electricity generation, Beijing invited Western companies to build power plants jointly with domestic Chinese partners. Now the Chinese are upgrading the plants with their own technology, based on what they learned through the German company Siemens and the French company Alstom.

A 2010 study by James McGregor of APCO sharply criticizing Chinese industrial and technology policies provides additional examples of China’s determination to leverage Western technology. Notably, China is expected to spend $730 billion on its rail network by 2020, with about half being used to expand high-speed passenger lines. This level of capital spending is irresistible for European producers. The China National Railway Corporation (CNR) invited Siemens to bid on a $919 million contract to build 60 passenger trains for service between Beijing and Tianjin. Siemens built the first three, but the remaining 57 were built in China by CNR, using 1,000 Chinese technicians Siemens had trained. In March 2009, Siemens announced an agreement for it to build 100 additional high-speed trains to serve Beijing-Shanghai, but China denied such an agreement ever existed. Siemens ultimately received a contract for $1 billion in components, but $5.7 billion went to CNR, which built the trains.

In the long run, China favors its own producers. It brings in foreign companies at the launching of an industry, then uses government procurement to advance the market share of Chinese companies and, eventually, to shut out competition. This strategy has allowed it to build on foreign companies’ expertise, develop domestic champions and raise the technological level of its economy and exports. Because of its large and rapidly growing market, China can pressure foreign companies to partner with Chinese companies, allowing their employees to learn managerial and technical skills. Over time, China has somewhat loosened formal requirements for foreign companies to accept partners, but the strategy of technology and skills transfer remains very much in force.

Developing countries naturally learn from best practices world-wide; indeed the 19th century economic history of the United States includes considerable technology transfer from Britain and the rest of Europe. Nevertheless, companies that have invested heavily to develop new technologies and efficient processes cannot afford to simply allow China to free-ride on their efforts. Yet many Chinese leaders make it clear they are on a mission to acquire the best technology, using their size and growth as a way to obtain it.

A December 23, 2010 New York Times editorial noted this strategy, saying, “[I]ntellectual property misappropriation cannot be a government policy goal, especially in a country the size of China, which can flood world markets with ill-begotten high tech products.” The editorial acknowledged some U.S. progress at the World Trade Organization, but urged our government to be “more vigilant and aggressive” against intellectual property losses.

Helping U.S. Manufacturers Adjust to China

1. Today’s trade deficit is not a technology problem. The U.S. economy simply must become a more attractive place to develop and manufacture new products. The best ways to do this are to balance the budget and lower the marginal tax rate on corporations. Our trade problem is that U.S. companies develop innovative products but choose not to manufacture much of their value here. One chronic reason is that the value of a dollar has been too high, making U.S. production too expensive. If the U.S. saved more and balanced the federal budget, that problem would take care of itself. This would require global exchange rate adjustments including an increase in the real exchange rate of the renminbi, although economic forces will force this to happen without the need for U.S. political action. In addition, the U.S. corporate tax rate is higher than that of other countries, encouraging overseas investments. Both of the recently announced deficit reduction plans provide blueprints for balancing the budget and lowering corporate tax rates.
    
2. Technology may become a problem in the future. The United States should work with the European Union, Japan and multinational companies to develop a uniform code of conduct to protect technology and patents when emerging market companies work with multinationals. Government sanctions that would draw the United States into direct conflict with China are inadvisable, and the World Trade Organization (WTO) has limited effectiveness. Thus, multinational corporations should take the lead and refuse to work with foreign entities that demand access to and misuse proprietary technology. They should be fully informed of past unacceptable practices and the policies and behavior they should expect before entering new markets. If companies nevertheless reveal their technology as the price of market access, that is their choice.
    
3. Policymakers must work with the private sector to identify and reduce barriers to U.S. exports. The expansion of U.S. exports will be in industries such as advanced manufacturing, electronics, aerospace and medical devices. These industries will require new technologies, capital, R&D and skilled labor. There is a strong case for support of technology development through direct funding, improved tax treatment of R&D, increased access to capital and a reduced marginal corporate tax rate. Skill shortages appear to be another important barrier to expansion. Improving the U.S. education and training system in science, math, engineering and technology is a long-term national priority. Furthermore, as recommended by Brookings vice president Darrell West, easing restrictions on H-1B visas to prioritize high-value immigrants with technology expertise is an obvious policy fix with immediate benefits.
    
4. The policy debate must focus on the right issue, and not be drawn down blind alleys. Indicators that the U.S. economy is falling behind must be evaluated carefully. For example, A 2007 National Academy of Sciences study, Rising Above the Gathering Storm, reviewed a range of such indicators. It noted that China is building 50 chemical plants, whereas the United States is building one; and computer chip fabrication plants are being built in China (and elsewhere in Asia), but not in the United States. However, the lack of U.S. investment in these sectors may not be a reason for concern. It can be difficult to operate either bulk petrochemical or chip fabrication plants profitably over the long run, and they create few jobs.
    
5. Companies should focus on innovation and cost reduction and avoid dragging policymakers and themselves along time-wasting tangents. Endless discussions took place during the Clinton administration about how Fuji was competing unfairly with Kodak, whereas the real challenge to Kodak was not Fuji but digital technology. Currently, the World Trade Organization is assessing appeals from the European Union (EU) and the United States regarding its decision that the EU unfairly subsidized Airbus to the detriment of Boeing. Whatever the merits of the arguments in the parties’ six years of legal wrangling over this issue, Boeing’s future success may depend more on how well it solves problems with the new 787, now several years behind schedule, and whether it can make its factories leaner and more productive.

Conclusion

Expanding manufactured exports is a key to our nation’s global competitiveness and reduced trade deficits. Recovery in manufacturing will help employment and the revival of local economies. Competition from emerging economies, especially China, means that innovation in products and processes will be essential to maintaining U.S. leadership. While emerging economies are important markets for U.S. manufacturers, these exchanges should not become opportunities to misappropriate U.S. companies’ intellectual property. U.S. policymakers must create a climate that fosters growth in manufacturing while protecting U.S. innovation and technology.

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Editors’ Note: To salvage his Middle East legacy, advance American interests in the Arab world, and align with the position of the international community on this conflict, Ibrahim Fraihat argues, President Obama must make the long overdue decision of recognizing a sovereign and independent Palestinian state before leaving office. This post originally appeared on Middle East Eye.

Driven by the search for his legacy in the Middle East, it seems President Barack Obama has decided to spend additional political capital on reviving Israeli-Palestinian talks before the end of his second term in office.

Last month, the Wall Street Journal reported that the White House is working on a renewed peace push, including a possible Security Council resolution or other initiatives such as “a presidential speech and a joint statement from the Middle East Quartet.”

While it is still unclear where President Obama is going with this renewed effort, he must understand that using the same old techniques of U.S. mediation will only exacerbate the crisis, consequently tarnishing his legacy in the Middle East. To salvage his Middle East legacy, advance American interests in the Arab world, and align with the position of the international community on this conflict, he must make the long overdue decision of recognizing a sovereign and independent Palestinian state before leaving office.

[U]sing the same old techniques of U.S. mediation will only exacerbate the crisis, consequently tarnishing [Obama's] legacy in the Middle East.

First, Obama should learn from the mistakes of his predecessors, George W. Bush and Bill Clinton, who also tried to reach a mutually acceptable agreement between the Palestinian and Israelis with only a few months left in office.

Reaching an agreement between the two parties under severe time pressure will not work. A party that is not interested in a peace agreement can easily maneuver by using delaying tactics until Obama’s term ends. Israeli Prime Minister Benjamin Netanyahu already utilized this strategy when he publicly rejected an invitation from Obama to visit the White House to talk peace because he wanted to “avoid any perceived influence” in the forthcoming U.S. presidential election. These remarks came from the same person who meddled in domestic American affairs by aggressively lobbying against Obama during the last U.S. presidential election.

Obama has already put in the effort by working with the parties, but now he needs to make decisions. Unlike many American presidents, Obama made the resolution of this conflict a top priority. Despite the brutal civil wars engulfing the Middle East region in the past five years, Obama demonstrated a firm commitment and allocated the needed political capital to make a breakthrough in the Israeli-Palestinian conflict. During his time in office, Secretary of State John Kerry spent more time on Israeli-Palestinian negotiations than any other international conflict. However, the outcome of the Obama administration’s intensive diplomatic efforts has been a total failure. These negotiations ended without an accord or even a memorandum of understanding, agreements that could have built on Obama’s legacy in the Middle East.

Nonetheless, Obama knows very well who made him fail. Netanyahu repeatedly defied Obama: In Congress, he refused to engage in serious negotiations that could have led to an agreement, and he publicly lobbied against Obama’s election for a second term. Obama should not expect Netanyahu to change his position and cooperate on any renewed efforts that could save Obama’s failed legacy in the Middle East. This is the same Netanyahu whom Obama increasingly grew frustrated with throughout his presidency.

With the remaining few months in office, the time has come for Obama to shape his legacy in the Middle East the way he wants it, not the way that Netanyahu has lobbied to characterize it. Obama has an opportunity to take his place in history as the first American president to officially recognize an independent Palestinian state.

Obama has an opportunity to take his place in history as the first American president to officially recognize an independent Palestinian state.

Sooner or later, there will be a Palestinian state and the United States will recognize it. Obama knows that very well. So why should he miss this opportunity and let another president recognize it in the future? Obama should worry about his own legacy, not Netanyahu’s extremist views. Obama should never allow Netanyahu to shape his legacy in the Middle East and leave it stained with failure.

Obama’s Middle East legacy is equally bleak in other parts of the region. Syria could become Obama’s Rwanda; Benghazi and the late Ambassador Chris Stevens are witnesses to his legacy in Libya; al-Qaeda in Yemen is much stronger today than when Obama intensified his drone policy against the organization; only history will tell how the Iran nuclear deal turns out in the future. Unfortunately, Obama cannot change the facts in any of these countries with the limited time remaining for him in office. However, he can still restore his legacy in the Middle East by recognizing a Palestinian state.

By recognizing a Palestinian state now, Obama will have seized an historical opportunity to impact the future and establish a foundation for the next American administration in the Middle East. No matter who comes to the White House, they will have to deal with this new fact. Obama has the international community on his side in recognizing Palestine. France recently stated that it will recognize an independent Palestinian state if a final effort to bring about peace fails. Additionally, Sweden has officially recognized Palestine.

American diplomats have a tradition of balancing their views after they leave office as they become free from the pressure of the Israel lobby and domestic politics. President Jimmy Carter is a one example of this.

Obama should not fall into this trap. No matter how he adjusts his views after leaving office, he will never save his legacy in the Middle East and the Israeli-Palestinian conflict if he does not recognize a Palestinian state while he still has the power to do so. The time is now and he must act rather than regretting it later.

President Obama, if not for your legacy, at least recognize Palestine for the Nobel Peace Prize that you received in advance. The committee trusted you and awarded you the prize before you achieved any real peace; do not disappoint them. Make sure you earn the prize, Mr. President. If not for your legacy or the prestigious prize, then please do something for your own personal pride and be the one who laughs last, not Benjamin Netanyahu.

Mr. President, recognize Palestine now.

Legislative proposals to accelerate and improve the development of innovative drugs and medical devices generally focus on reforming the clinical development and regulatory review processes that occur before a product gets to market. Many of these proposals – such as boosting federal funding for basic science, streamlining the clinical trials process, improving incentives for development in areas of unmet medical need, or creating expedited FDA review pathways for promising treatments – are worthy pursuits and justifiably part of ongoing efforts to strengthen biomedical innovation in the United States, such as the 21^st Century Cures initiative in the House and a parallel effort taking shape in the Senate.

What has largely been missing from these recent policy discussions, however, is an equal and concerted focus on the role that postmarket evidence can play in creating a more robust and efficient innovation process. Data on medical product safety, efficacy, and associated patient outcomes accrued through routine medical practice and through practical research involving a broad range of medical practices could not only bolster our understanding of how well novel treatments are achieving their intended effects, but reinforce many of the premarket reforms currently under consideration. Below and in a new paper, we highlight the importance of postmarket evidence development and present a number of immediately achievable proposals that could help lay the foundation for future cures.

Why is postmarket evidence development important?

There are a number of reasons why evidence developed after a medical product’s approval should be considered an integral part of legislative efforts to improve biomedical innovation. First and foremost, learning from clinical experiences with medical products in large patient populations can allow providers to better target and treat individuals, matching the right drug or device to the right patient based on real-world evidence. Such knowledge can in turn support changes in care that lead to better outcomes and thus higher value realized by any given medical product.

Similarly, data developed on outcomes, disease progression, and associated genetic and other characteristics that suggest differences in disease course or response to treatment can form the foundation of future breakthrough medical products. As we continue to move toward an era of increasingly-targeted treatments, this important of this type of real-world data cannot be discounted.

Finally, organized efforts to improve postmarket evidence development can further establish infrastructure and robust data sources for ensuring the safety and effectiveness of FDA-approved products, protecting patient lives. This is especially important as Congress, the Administration, and others continue to seek novel policies for further expediting the pre-market regulatory review process for high-priority treatments. Without a reliable postmarket evidence development infrastructure in place, attempts to further shorten the time it takes to move a product from clinical development to FDA approval may run up against the barrier of limited capabilities to gather the postmarket data needed to refine a product’s safety and effectiveness profile. While this is particularly important for medical devices – the “life cycle” of a medical device often involves many important revisions in the device itself and in how and by whom it is used after approval – it is also important for breakthrough drugs, which may increasingly be approved based on biomarkers that predict clinical response and in particular subpopulations of patients.

What can be done now?

The last decade has seen progress in the availability of postmarket data and the production of postmarket evidence. Biomedical researchers, product developers, health care plans, and providers are doing more to collect and analyze clinical and outcomes data. Multiple independent efforts – including the U.S. Food and Drug Administration’s Sentinel Initiative for active postmarket drug safety surveillance, the Patient-Centered Outcomes Research Institute’s PCORnet for clinical effectiveness studies, the Medical Device Epidemiology Network (MDEpiNet) for developing better methods and medical device registries for medical device surveillance and a number of dedicated, product-specific outcomes registries – have demonstrated the powerful effects that rigorous, systematic postmarket data collection can have on our understanding of how medical products perform in the real-world and of the course of underlying diseases that they are designed to treat.

These and other postmarket data systems now hold the potential to contribute to data analysis and improved population-based evidence development on a wider scale. Federal support for strengthening the processes and tools through which data on important health outcomes can be leveraged to improve evidence on the safety, effectiveness, and value of care; for creating transparent and timely access to such data; and for building on current evidence development activities will help to make the use of postmarket data more robust, routine, and reliable.

Toward that end, we put forward a number of targeted proposals that current legislative efforts should consider as the 2015 policy agenda continues to take shape:

Evaluate the potential use of postmarket evidence in regulatory decision-making. The initial Cures discussion draft mandated FDA to establish a process by which pharmaceutical manufacturers could submit real-world evidence to support Agency regulatory decisions. While this is an important part of further establishing methods and mechanisms for harnessing data developed in the postmarket space, the proposed timelines (roughly 12 months to first Guidance for Industry) and wide scope of the program do not allow for a thoughtfully-, collaboratively-considered approach to utilizing real-world evidence. Future proposals should allow FDA to take a longer, multi-stakeholder approach to identify the current sources of real-world data, gaps in such collection activities, standards and methodologies for collection, and priority areas where more work is needed to understand how real-world data could be used.

Expand the Sentinel System’s data collection activities to include data on effectiveness. Established by Congress in 2007, Sentinel is a robust surveillance system geared toward monitoring the safety of drugs and biologics. In parallel to the program for evaluating the use of RWE outlined above, FDA could work with stakeholders to identify and pursue targeted extensions of the Sentinel system that begin to pilot collection of such data. Demonstration projects could enable faster and more effective RWE development to characterize treatment utilization patterns, further refine a product’s efficacy profile, or address pressing public health concerns – all by testing strategic linkages to data elements outside of Sentinel’s safety focus.

Establish an active postmarket safety surveillance system for medical devices. Congress has already acted once to establish device surveillance, mandating in 2012 that Sentinel be expanded to include safety data on medical devices. To date, however, there has been no additional support for such surveillance or even the capability of individually tracking medical devices in-use. With the recently finalized Unique Device Identifier rule going effect and the ability to perform such tracking on the horizon, the time is now to adopt recent proposals from FDA’s National Medical Device Postmarket Surveillance System Planning Board. With Congressional authorization for FDA to establish an implementation plan and adequate appropriations, the true foundation for such a system could finally be put into place.

Event Information

The Sentinel System is a state of the art active surveillance system relying on a distributed data network to rapidly scale analysis of health care data collected from over 178 million patients nationwide. Sentinel is an important safety surveillance tool used by the U.S. Food and Drug Administration (FDA), and its underlying distributed data infrastructure is increasingly being recognized to have the potential to support the needs of diverse stakeholders including other public health agencies, health systems, regulated industry, and the clinical research enterprise. Despite Sentinel’s importance in safety surveillance, patients are largely unaware of Sentinel’s public health mission and commitment to protecting patient privacy. Therefore, it is both timely and critical to identify opportunities to raise awareness and build trust for Sentinel safety surveillance among patients, consumers, and the general public.

On June 23, the Center for Health Policy at Brookings, in collaboration with the FDA, hosted an expert workshop to discuss opportunities to raise awareness of the Sentinel System through improved communication to patients and consumers. Participants, including Sentinel Data Partners, patient focused organizations (e.g., consumer advocacy groups), experts in patient privacy, ethics, and health literacy, and representatives from the FDA explored possible opportunities where each stakeholder might be uniquely positioned to engage with patients, and how these communications could be designed and delivered effectively. Discussions from this workshop resulted in recommendations including a set of guiding principles, potential tools, and strategies to improve awareness of the Sentinel System, but more broadly, safety surveillance activities led by the FDA.

Event Materials

• Sentinel Engagement_Discussion Guide
• Engagement_Agenda
• Engagement_Participant List
• Engagement_Speaker BioSketches
• Engagement_Meeting Summary

We can all breathe a big sigh of relief – the job market does not appear to be dramatically slowing.

After a very weak jobs report for the month of May – when only 11,000 jobs were created – the employment numbers bounced back strongly in June, with 287,000 payroll jobs created this month.

This represents the strongest monthly rate of new job creation this year, and is well above economist expectations of about 170,000 jobs created. The return of Verizon workers to their jobs after a strike last month accounted for only about 35,000 of these jobs. Employment growth over the past 3 months now averages 147,000 – a bit below last year’s rate but quite good in a labor market where there is now less slack than before.

Job growth was strong in a range of sectors, including leisure and hospitality, health care and information technology. Growth was also notable in professional and business services, retail trade and finance. Even manufacturing showed a small uptick in employment (of 14,000), after having fallen in previous months (due to the rising value of the dollar and economic slowdowns overseas). But construction jobs this month were flat and mining employment fell again, but only slightly.

On the household side of the ledger, unemployment edged up a bit, from 4.7 to 4.9 percent. But much of this was due to a small bounce back in the labor force participation rate, which had dipped in the previous two months. Other concerns, such as rising part-time employment among those preferring full-time work, were also eased as such employment declined this month.

If there was any disappointment in the report, it was in wage growth. Hourly wages rose by just 2 cents this month, or about 1 percent on an annualized basis. Wage growth had been stronger in the two previous months, suggesting that some labor markets were perhaps tightening up. Over the past year, wage growth has averaged 2.6 percent – above the inflation rate and a modest improvement over previous years in which we were slowly recovering from the Great Recession.

Overall, the June jobs report should ease concerns of a coming economic slowdown, which grew stronger after the “Brexit” vote in Britain. Indeed, this report restores the view that prevailed a few months before, of a slowly but steadily improving labor market.

Mark Muro, senior fellow and policy director of the Metropolitan Policy Program, discusses a plan to address the economic boom-bust cycle in states that rely heavily on “fracking” and how this plan can spur innovation, inclusive economic development, and de-carbonization in the U.S.

“Inclusive economic development is critical; it’s about widening the circle of prosperity to more people. An inclusive economy is a highly innovative one … one that provides many opportunities for building skills, and it is a sustainable one,” Muro says. “Sustainability is about smoothing the boom and bust cycles that are disruptive to people, communities, and the state economy. But it is also about a clean economy.”

Also in this podcast a Coffee Break from Eyerusalem Siba, research fellow with the Africa Growth Initiative in the Global Economy and Development program. Also stay tuned for our presidential election update with John Hudak.

Permanent trust funds: Funding economic change with fracking revenues (by Mark Muro and Devashree Saha)

Busted: State budgets feel fracking crash

Look to advanced industries to help drive productivity gains

Enabling female entrepreneurs and beyond

Bloomberg’s Clinton endorsement signals a big business problem for Trump and the GOP

Thanks to audio producers Mark Hoelscher and Zack Kulzer, plus thanks to Carisa Nietsche, Bill Finan, Jessica Pavone, Eric Abalahin, Rebecca Viser, and our intern Sara Abdel-Rahim.

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