Once upon a time, ambitious young people with a knack for math and science went to work in manufacturing. They designed planes, computers, and furniture, figured out how to lay out an assembly line, helped to make new cars faster and refrigerators more efficient, pushed the limits of computer chips, and invented new medicines. But, as the role of manufacturing diminished in advanced economies, the brightest talents tended to gravitate to finance and other service fields that were growing rapidly – and paying well.

But here’s some news: global manufacturing has the potential to stage a renaissance and once again become a career of choice for the most talented.

Of course, any manufacturing rebound in the advanced economies will not generate mass employment; but it will create many high-quality jobs. There will be more demand for software programmers, engineers, designers, robotics experts, data analytics specialists, and myriad other professional and service-type positions. In some manufacturing sectors, more such people may be hired than will be added on the factory floor.

Exploding demand in developing economies and a wave of innovation in materials, manufacturing processes, and information technology are driving today’s new possibilities for manufacturing. Even as the share of manufacturing in global GDP has fallen – from about 20% in 1990 to 16% in 2010 – manufacturing companies have made outsize contributions to innovation, funding as much as 70% of private-sector R&D in some countries. From nanotechnologies that make possible new types of microelectronics and medical treatments to additive manufacturing systems (better known as 3D printing), emerging new materials and methods are set to revolutionize how products are designed and made.

But, to become a genuine driver of growth, the new wave of manufacturing technology needs a broad skills base. For example, it will take many highly-trained and creative workers to move 3D printing from an astounding possibility to a practical production tool.

Consider, too, the challenges of the auto industry, which is shifting from conventional, steel-bodied cars with traditional drive trains to lighter, more fuel-efficient vehicles in which electronics are as important as mechanical parts. The Chevrolet Volt has more lines of software code than the Boeing 787. So the car industry needs people fluent in mechanical engineering, battery chemistry, and electronics.

Manufacturing is already an intensive user of “big data” – the use of massive data sets to discover new patterns, perform simulations, and manage complex systems in real-time. Manufacturing stores more data than any other sector – an estimated two exabytes (two quintillion bytes) in 2010. By enabling more sophisticated simulations that discover glitches at an early stage, big data has helped Toyota, Fiat and Nissan cut the time needed to develop new models by 30-50%.

Manufacturers in many other branches are using big data to monitor the performance of machinery and equipment, fine-tune maintenance routines, and ferret out consumer insights from social-media chatter. But there aren’t enough people with big-data skills. In the United States alone, there is a potential shortfall of 1.5 million data-savvy managers and analysts needed to drive the emerging data revolution in manufacturing.

The shift of manufacturing demand to developing economies also requires new skills. A recent McKinsey survey of multinationals based in the U.S. and Europe found that, on average, these companies derive only 18% of sales from developing economies. But these economies are projected to account for 70% of global sales of manufactured goods (both consumer and industrial products) by 2025. To develop these markets, companies will need talented people, from ethnographers (to understand consumers’ customs and preferences) to engineers (to design products that fit a new definition of value).

Perhaps most important, manufacturing is becoming more “democratic,” and thus more appealing to bright young people with an entrepreneurial bent. Not only has design technology become more accessible, but an extensive virtual infrastructure exists that enables small and medium-size companies to outsource design, manufacturing, and logistics. Large and small companies alike are crowd-sourcing ideas online for new products and actual designs. “Maker spaces” – shared production facilities built around a spirit of open innovation – are proliferating.

And yet, across the board, manufacturing is vulnerable to a potential shortage of high-skill workers. Research by the McKinsey Global Institute finds that the number of college graduates in 2020 will fall 40 million short of what employers around the world need, largely owing to rapidly aging workforces, particularly in Europe, Japan, and China. In some manufacturing sectors, the gaps could be dauntingly large. In the U.S., workers over the age of 55 make up 40% of the workforce in agricultural chemicals manufacturing and more than one-third of the workforce in ceramics. Some 8% of the members of the National Association of Manufacturers report having trouble filling positions vacated by retirees.

Indeed, when the NAM conducted a survey of high-school students in Indianapolis, Indiana (which is already experiencing a manufacturing revival), the results were alarming: only 3% of students said that they were interested in careers in manufacturing. In response, the NAM launched a program to change students’ attitudes. But not only young people need persuading: surveys of engineers who leave manufacturing for other fields indicate that a lack of career paths and slow advancement cause some to abandon the sector.

Manufacturing superstars such as Germany and South Korea have always attracted the brightest and the best to the sector. But now manufacturers in economies that do not have these countries’ superior track record must figure out how to be talent magnets. Manufacturing’s rising coolness quotient should prove useful, but turning it into a highly sought-after career requires that companies in the sector back up the shiny new image with the right opportunities – and the right rewards.

ABSTRACT

Recent literature has expressed considerable pessimism about the prospects for both productivity and overall economic growth in the U.S. economy, based either on the idea that the pace of innovation has slowed or on concern that innovation today is hurting job creation. While recognizing the problems facing the economy, this paper offers a more optimistic view of both innovation and future growth, a potential return to the innovation and employment-led growth of the 1990s. Technological opportunities remain strong in advanced manufacturing and the energy revolution will spur new investment, not only in energy extraction, but also in the transportation sector and in energy-intensive manufacturing. Education, health care, infrastructure (construction) and government are large sectors of the economy that have lagged behind in productivity growth historically. This is not because of a lack of opportunities for innovation and change but because of a lack of incentives for change and institutional rigidity.

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• U.S. Productivity Growth: An Optimistic Perspective

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

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

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

Wide ranging impacts

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

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

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

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

More good than bad

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

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

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

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

The past few months have seen a flurry of reports on discouraging trends in life expectancy among some of the nation’s struggling populations. Different researchers have emphasized different groups and have tracked longevity trends over different time spans, but all have documented conspicuous differences between trends among more advantaged Americans compared with those in worse circumstances.

In a study published in April, Stanford economist Raj Chetty and his coauthors documented a striking rise in mortality rate differences between rich and poor. From 2001 to 2014, Americans who had incomes in the top 5 percent of the income distribution saw their life expectancy climb about 3 years. During the same 14-year span, people in the bottom 5 percent of the income distribution saw virtually no improvement at all.

Using different sources of information about family income and mortality, my colleagues and I found similar trends in mortality when Americans were ranked by their Social-Security-covered earnings in the middle of their careers. Over the three decades covered by our data, we found sizeable differences between the life expectancy gains enjoyed by high- and low-income Americans. For 50-year old women in the top one-tenth of the income distribution, we found that women born in 1940 could expect to live almost 6.5 years longer than women in the same position in the income distribution who were born in 1920. For 50-year old women in the bottom one-tenth of the income distribution, we found no improvement at all in life expectancy. Longevity trends among low-income men were more encouraging: Men at the bottom saw a small improvement in their life expectancy. Still, the life-expectancy gap between low-income and high-income men increased just as fast as it did between low- and high-income women.

One reason these studies should interest voters and policymakers is that they shed light on the fairness of programs that protect Americans’ living standards in old age. The new studies as well as some earlier ones show that mortality trends have tilted the returns that rich and poor contributors to Social Security can expect to obtain from their payroll tax contributions.

If life expectancy were the same for rich and poor contributors, the lifetime benefits workers could expect to receive from their contributions would depend solely on the formula that determines a worker’s monthly pensions. Social Security’s monthly benefit formula has always been heavily tilted in favor of low-wage contributors. They receive monthly checks that are a high percentage of the monthly wages they earn during their careers. In contrast, workers who earn well above-average wages collect monthly pensions that are a much lower percentage of their average career earnings.

The latest research findings suggest that growing mortality differences between rich and poor are partly or fully offsetting the redistributive tilt in Social Security’s benefit formula. Even though poorer workers still receive monthly pension checks that are a high percentage of their average career earnings, they can expect to receive benefits for a shorter period after they claim pensions compared with workers who earn higher wages. Because the gap between the life spans of rich and poor workers is increasing, affluent workers now enjoy a bigger advantage in the number of months they collect Social Security retirement benefits. This fact alone is enough to justify headlines about the growing life expectancy gap between rich and poor

There is another reason to pay attention to the longevity trends. The past 35 years have provided ample evidence the income gap between America’s rich and poor has widened. To be sure, some of the most widely cited income series overstate the extent of widening and understate the improvement in income received by middle- and low-income families. Nonetheless, the most reliable statistics show that families at the top have enjoyed faster income gains than the gains enjoyed by families in the middle and at the bottom. Income disparities have gone up fastest among working-age people who depend on wages to pay their families’ bills. Retirees have been better protected against the income and wealth losses that have hurt the living standards of less educated workers. The recent finding that life expectancy among low-income Americans has failed to improve is a compelling reason to believe the trend toward wider inequality is having profound impacts on the distribution of well-being in addition to its direct effect on family income.

Over the past century, we have become accustomed to seeing successive generations live longer than the generations that preceded them. This is not true every year, of course, nor is it always clear why the improvements in life expectancy have occurred. Still, it is reasonable to think that long-run improvements in average life spans have been linked to improvements in our income. With more money, we can afford more costly medical care, healthier diets, and better public health. Even Americans at the bottom of the income ladder have participated in these gains, as public health measures and broader access to health insurance permit them to benefit from improvements in knowledge. For the past three decades, however, improvements in average life spans at the bottom of the income distribution have been negligible. This finding suggests it is not just income that has grown starkly more unequal.

Editor's note: This piece originally appeared in Real Clear Markets.

No. We should exempt workers earning the lowest wages.

Social Security faces a serious funding problem. The program takes in too little money to pay all that has been promised to future beneficiaries. Government forecasters predict Social Security’s reserve fund will be depleted between 2030 and 2034. There are two basic ways we can eliminate the funding gap: cut benefits or increase contributions. A common proposal is to increase the age at which workers can claim full retirement benefits. For people nearing retirement today, the full retirement age is 66. As a result of a 1983 law, that age will rise to 67 for workers born after 1959.

When policymakers urge us to raise the retirement age, they are proposing to increase the full retirement age beyond 67, possibly to 70, for workers now in their 30s or 40s. This saves money, but it also cuts monthly retirement benefits by the same percentage for every worker, unless workers delay claiming benefits. The policy might seem fair if workers in future generations could all expect to share in gains in life expectancy. However, new research shows that gains in life expectancy have been very unequal, with the biggest improvements among workers who earn top incomes. Life expectancy gains for workers with the lowest incomes have been small or negligible.

If the full retirement age were raised, future retirees with high lifetime earnings can expect to receive some compensation when their monthly benefits are cut. Because they can expect to live longer than today’s retirees, they will receive benefits for a longer span of years after 65. For low-wage workers, there is no compensation. Since they are not living longer, their lifetime benefits will fall by the same proportion as their monthly benefits. Thus, “raising the retirement age” is a policy that cuts the lifetime benefits of future low-wage workers by a bigger percentage than it does of future high-wage workers.

The fact that low-wage workers have seen small or negligible gains in life expectancy signals that their health when they are past 60 is no better than that of low-wage workers born 20 or 30 years ago. This suggests their capacity to work past 60 is no better than it was for past generations. A sensible policy for cutting future benefits should therefore preserve current benefit levels for workers who have contributed to Social Security for many years but have earned low wages.

Editor's note: This piece originally appeared in CQ Researcher.

Voters and policy makers bemoan our crumbling roads, airports, and public transit systems, but few jurisdictions do much about it. The odd thing is that historically low interest rates now make it cheap to fix or improve our public facilities. The mystery is why decision makers have passed on this opportunity.

The sorry state of the nation’s roads, bridges, and public infrastructure has been widely reported. Every few years the American Society of Civil Engineers draws up a report card on U.S. infrastructure, highlighting its strengths and shortcomings in a variety of areas—drinking water systems, wastewater, dams, roads, bridges, inland waterways, ports. The report card spotlights areas where spending on maintenance falls short of the amount needed to keep our infrastructure functioning efficiently. For many kinds of infrastructure, a bigger population and heavier utilization require us to invest in brand new facilities. In its latest report card, the ASCE awards our public infrastructure a grade of D+.

It’s hard to think of a time more attractive for public investment than years when total demand for goods and services is depressed. The Treasury’s borrowing cost for investment funds is near historical lows. Since 2011, the interest rate on 10-year government bonds has averaged 2.3 percent. Savers buying inflation-protected bonds have been willing to lend funds to the federal government at a real interest rate of just 0.22 percent.

So long as there is excess unemployment, especially in the building trades, the labor resources needed to fix or improve public facilities should be abundant and relatively inexpensive. Employment in the construction industry has rebounded as home building and business investment have improved. Nonetheless, construction employment has recovered only half the loss it experienced between its pre-recession peak in 2006 and its post-recession low in 2011. Skilled labor is not nearly as abundant as it was in 2011, but the trend in wage inflation does not suggest employers are bidding up worker salaries.

The federal government’s failure to use fiscal policy and, in particular, public investment policy to bring the nation closer to full employment represents a notable lapse in policymaking, perhaps the most grievous lapse since the crisis began. It unnecessarily prolonged the suffering of the nation’s long-term unemployed and it wasted a rare opportunity to rebuild the nation’s public infrastructure at relatively low cost.

Why did this failure occur? One reason is that policy makers were too optimistic when the financial crisis took place back in 2008. Most public and private forecasts at the time understated the severity of the economic fallout from the bank meltdown. Decision makers in Congress and the Administration may have believed infrastructure investment would be unhelpful in the recovery. Well-conceived infrastructure projects take many months to design and many years to complete. Policy makers may have believed the economic crisis would be over by the time federally infrastructure spending reached its peak.

When forecasters and Democratic policy makers recognized their error, voters had elected a Congress that supported only one kind of fiscal policy to deal with the crisis—big tax cuts focused on high-income tax payers. Whether or not such a policy could have been effective, it would not make additional funds available for infrastructure projects.

Harvard’s Lawrence Summers and Rachel Lipset recently pointed to another reason voters have failed to back a big program to boost infrastructure investment—government ineptitude. In the Boston Globe they documented the painfully slow progress of the Massachusetts Department of Transportation in overhauling a bridge across the Charles River. The bridge, which was built over 11 months back in 1912, has so far required four years for its reconstruction. No end date is in sight. In addition to the over-budget cost of the project, the overhaul has also caused massive and highly visible inconvenience for drivers, cyclists, and pedestrians trying to move between Boston and Cambridge.

Few readers can be under the illusion Boston’s experience is exceptional. Many of us pass near or use public facilities that are being rebuilt or repaired. We often see bafflingly little progress over a span of months or even years. As Summers and Lipset note, the conspicuous failure of public managers to complete capital projects speedily and on budget undermines voters’ confidence that infrastructure projects can be worthwhile.

Despite wide agreement the nation’s infrastructure needs to be modernized, we have made little progress toward that goal. On the contrary, government capital spending has shrunk significantly as a share of the economy. In 2014, net government investment spending on items other than defense dipped to a 60-year low when spending is measured as a percent of GDP. Using this indicator, net government investment has shrunk almost half compared with its level in the first decade of the century. For many reasons this is a good time to fix our public infrastructure. It is also an excellent time to overhaul public management of government capital projects.

Editor's note: This piece originally appeared in Inside Sources.

Jamie Dimon, chief executive of JP Morgan Chase, this week announced a raise for his bank’s lowest pay employees. The company’s worst paid workers currently earn $10.15 an hour. By next February their pay will increase to at least $12 an hour, a jump of 18 percent. Dimon’s announcement follows widely reported wage hikes at Starbucks, Target, Walmart and other employers with sizeable numbers of low-pay workers.

These pay hikes signal further tightening in the nation’s job markets, including the market for low-wage workers. The drop in the unemployment rate below 5 percent has made it harder for employers to fill job vacancies, putting pressure on them to boost pay, both to attract new workers and to retain the ones already on their payrolls. Although highly compensated men have obtained the biggest pay increases in recent years, men and women earning bottom-end pay have fared better in the past year compared with workers in the middle of the earnings distribution.

The good news on the wage front tells us two things. First, the tightening of the job market is finally translating into gains for ordinary workers. More workers who want jobs are finding them. And adults who’ve managed to hang on to jobs are now enjoying faster growth in paychecks. Between 2011 and 2014, hourly pay gains averaged a little less than 2.0 percent a year. Since the end of 2014 they’ve averaged about 2.5 percent. The improvement in nominal pay gains has been magnified by exceptionally slow consumer price inflation. In the two years ending in May, real hourly pay has climbed 1.9 percent a year.

Second, the recent tilt in pay gains in favor of low wage workers shows that increases in the legal minimum wage can have an impact. Even though the federal minimum wage has remained at $7.25 an hour for the past seven years, 29 states have minimum wages above that level; 11 have a minimum equal to or greater than $9.00 an hour. Not surprisingly, low-wage workers in states that have recently raised minimum wages have seen faster gains than those in states that have left minimums unchanged. Since a growing number of states and localities are boosting minimum wage levels, this trend toward faster pay gains at the bottom may continue for a while.

The recovery from the Great Recession has been slow and disappointing, but it has been lengthy. One indicator that has been slowest to recover is wages. At long last wages are climbing, both in the middle and at the bottom of the pay scale.

Alert voters everywhere realize the economy is neither as strong as claimed by the party in power nor the disaster described by the opposition. The election season will bring many passionate but dubious claims about economic trends. People running for office know that voters rank the economy near the top of their concerns. Of course, perceptions of the economy differ from one voter to the next. A few of us are soaring, more are treading water, and too many are struggling just to stay afloat.

Since reaching a low point in 2009, total U.S. output—as measured by real GDP—has climbed 15 percent, or about 2.1 percent a year. The recovery has been long-lived and steady, a tribute to the stewardship of the Administration and Federal Reserve. The economic rebound has also been disappointingly slow in view of the depth of the recession. GOP office seekers will mention this fact a number of times before November.

Compared with the worst months of the Great Recession, the unemployment rate has dropped by half. It now stands at a respectable 4.9 percent, almost 3 points lower than the rate when President Obama took office and far below the rate in fall 2009 when it reached 10 percent. Payroll employment has increased for 77 consecutive months. Since hitting a low in January 2010, the number of workers on employer payrolls has surged 14.6 million, or about 190,000 a month. While the job gains are encouraging, they have not been fast enough to bring the employment-to-population ratio back to its pre-recession level. June’s job numbers showed that slightly less than 80 percent of adults between 25 and 54 were employed. That’s almost 2 percentage points below the employment-to-population rate on the eve of the Great Recession.

One of the most disappointing numbers from the recovery has been the growth rate of wages. In the first 5 years of the recovery, hourly wages edged up just 2 percent a year. After factoring in the effect of consumer price inflation, this translates into a gain of exactly 0 percent. The pace of wage gain has recently improved. Workers saw their real hourly pay climb 1.7 percent a year in the two years ending in June.

The economic bottom line for most of us is the rate of improvement in our family income after accounting for changes in consumer prices. No matter how household income is measured, income gains have been slower since 2007 than they were in earlier decades. The main reason is that incomes produced in the market—in the form of wages, self-employment income, interest, dividends, rental income, and realized capital gains—fell sharply in the Great Recession and have recovered very slowly since then. That a steep recession would cause a big drop in income is hardly a surprise. Employment, company profits, interest rates, and rents plunged in 2008 and 2009, pushing down the incomes Americans earn in the market. The bigger surprise has been the slow recovery of market income once the recession was behind us.

Some critics of the recovery argue that the income gains in the recovery have been highly skewed, with a disproportionate share obtained by Americans at the top of the income ladder. Economist Emmanuel Saez tabulates U.S. income tax statistics to track market income gains at the top of the distribution. His latest estimates show that between 2009 and 2015 income recipients in the top 1 percent enjoyed real income gains of 24 percent. Among Americans in the bottom nine-tenths of the income distribution, average market incomes climbed only 4 percent.

However, Saez’s estimates also show that top income recipients experienced much bigger income losses in the Great Recession. Between 2007 and 2009 they saw their inflation-adjusted incomes drop 36 percent (see Chart 1). In comparison, the average market income of Americans in the bottom nine-tenths of the distribution fell just 12 percent. These numbers mean that top income recipients have not yet recovered the income losses they suffered in the Great Recession. In 2015 their average market income was still 13 percent below its pre-recession level. For families in the bottom nine-tenths of the distribution, market income was “only” 8 percent below its level in 2007.

Only about half of households rely solely on market income to support themselves. The other half receives income from government transfers. What is more, this fraction tends to increase in bad times. Many retirees rely mainly on Social Security to pay their bills; they depend on Medicare or Medicaid to pay for health care. Low-income Americans often have little income from the market, and they may rely heavily on public assistance, food stamps, or government-provided health insurance. When joblessness soars the percentage of families receiving government benefits rises, largely because of increases in the number of workers who collect unemployment insurance.

Government benefits, which are not counted in Saez’s calculations, replace part of the market income losses families experience in a weak economy. As a result, the net income losses of most families are much smaller than their market income losses. The Congressional Budget Office (CBO) recently published statistics on market income and before-tax and after-tax income that shed light on the size and distribution of household income losses in the Great Recession and ensuing recovery. The tabulations show that, except for households at the top of the distribution, net income losses were far smaller than the losses indicated in Saez’s income tax data.

For example, among households in the middle fifth of the before-tax income distribution, average market income fell more than 10 percent in the Great Recession (see Chart 2). If we include government transfers in the income definition, average income fell 4.4 percent. If we account for the federal taxes families pay, average net income fell just 1 percent. In contrast, among households in the top 1 percent of the distribution, average market income fell 36 percent, average income including government transfers fell 36 percent, and average income net of federal taxes fell 37 percent. Government transfers provided little if any protection to top-income households.

The CBO income statistics end in 2013, so they do not tell us how net income gains have been distributed in the last couple of years. Nonetheless, based on Saez’s income tax tabulations it is very unlikely top income recipients have recovered the net income losses they experienced in the Great Recession. All the available statistics show household income gains since 2007 have been negligible or small, and this is true across the income distribution.

It is popular to say slow income gains in the middle and at the bottom of the distribution are due to outsize income gains among families at the top. While this story is at least partly true for the three decades ending in 2007, it does not fit the facts for the years since 2007. CBO’s latest net income tabulations show that inequality was almost 5 percent lower in 2013 than it was in 2007. The Great Recession hurt the incomes of Americans up and down the income distribution, but the biggest proportional income losses were at the very top. To be sure, income gains in the recovery after 2009 have been concentrated among top income recipients. Even so, their income losses over the recession and recovery have been proportionately bigger than the losses suffered by middle- and low-income families.

Editor's note: This piece originally appeared in Real Clear Markets.

Americans are enjoying longer lifespans than ever before. Living longer affords individuals the opportunity to make more contributions to the world, to spend more time with their loved ones, and to devote more years to their favorite activities – but a longer life, and particularly a longer retirement, is also expensive. The retirement security landscape is evolving as workers, employers, retirees, and financial services companies find their needs shifting. Once, many workers planned to stay with a single employer for most or all of their careers, building up a sizeable pension and looking forward to a comfortable retirement. Today, workers more and more workers will be employed by many different employers.  Additionally, generous defined benefit (DB) retirement plans are less popular than they once were – though they were never truly commonplace – and defined contribution (DC) plans are becoming ever more prevalent.  

Figure 1, below, shows the change from DB to DC that has occurred over the past three decades.

In the past many retirees struggled financially towards the end of their lives, just as they do now, but even so, the changes to the retirement security landscape have been real and marked, and have had a serious impact on workers and retirees alike. DB plans are dwindling, DC plans are on the rise, and as a result individuals must now take a more active role in managing their retirement savings. DC plans incorporate contributions from employees and employers alike, and workers much choose how to invest their nest egg.  When a worker leaves a job for retirement or for a different job he or she will often roll over the money from a 401(k) plan into an Individual Retirement Account (IRA). While having more control over one’s retirement funds might seem on its face to be a net improvement, the reality is that the average American lacks the financial literacy to make sound decisions (SEC 2012).

The Council of Economic Advisers (CEA) expressed concern earlier this year that savers with IRA accounts may receive poor investment advice, particularly in cases where their financial advisors are compensated through fees and commissions. “[The] best recommendation for the saver may not be the best recommendation for the adviser’s bottom line” (CEA 2015). President Obama echoed these concerns in a speech at AARP in February, asking the Department of Labor (DoL) to update its rules for financial advisors to follow when handling IRA accounts (White House 2015). The DoL receives its authority to craft such rules and requirements from the 1974 Employee Retirement Income Security Act (ERISA) (DoL 2015a).

The DoL recently proposed a regulation designed to increase consumer protection by treating some investment advisors as fiduciaries under ERISA and the 1986 Internal Revenue Code (DoL 2015b). The proposed rule has generated heated debate, and some financial advisors have responded with great concern, arguing that it will be difficult or impossible to comply with the rule without raising costs to consumers and/or abandoning smaller accounts that generate little or no profit. Advisors who have traditionally offered only the proprietary products of a single company worry that the business model they have used for many years will no longer be considered to be serving the best interests of clients.

Rather than offering detailed comments on the DoL proposals, this paper will look more broadly at the problem of saving for retirement and the role for professional advice. This is, of course, a well-travelled road with a large literature by academics, institutions and policy-makers, however, it is worthwhile to think about market failures, lack of information and individual incentives and what they imply for the investment advice market.

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With keynote addresses by Federal Reserve Governor Jerome Powell and Counselor to the Treasury Secretary Antonio Weiss

Bond markets are the principal source of credit for businesses and governments in the United States, with almost $40 trillion of outstanding debt. They are also the main mode of investment for pension funds, mutual funds, and many other investors, which is why the safety and efficiency of these markets is, therefore, crucial.

On August 3, the Economic Studies program at Brookings hosted a number of experts to discuss the structure of bond markets in the U.S. and how changes over the last few years are affecting market liquidity, volatility, and overall safety and efficiency. Keynote addresses by Governor Jerome Powell and Counselor Antonio Weiss focused on the Treasury bond market with a panel of experts examining corporate bond markets.

After each session, the speakers and panelists took audience questions.

Antonio Weiss with Jerome Powell and Douglas Elliott (l-r)

Martin Baily with Kashif Riaz, Annette Nazareth, Steve Zamsky and Dennis Kelleher (r-l)

Video

• Keynote Addresses on the U.S. Treasury Markets
• Panel on the Corporate Bond Markets

Audio

• Are there structural issues in U.S. bond markets?

Transcript

• Uncorrected Transcript (.pdf)

Event Materials

• 20150803_bond_markets_transcript
• 20150803_liquidity_kelleher_presentation

Earlier this summer, we examined how the Big Four banks – Bank of America, Citigroup, JPMorgan Chase, and Wells Fargo – performed before, during, and after the 2007-09 financial crisis.  We also blogged about the lending trends within these large banks, expressing concern about the growing gap between deposits taken and loans made by the Big Four, and calling on policymakers to explore the issue further.  We have conducted a similar analysis on the regional banks - The regional banks: The evolution of the financial sector, Part II - and find that these smaller banks are actually faring somewhat better than their bigger counterparts.

Despite the mergers and acquisitions that happened during the crisis, the Big Four banks are a smaller share of banking today than they were in 2007.  The 15 regionals we evaluated, on the other hand, are thriving in the post-crisis environment and have a slightly larger share of total bank assets than they had in 2007.  The Big Four experienced rapid growth in the years leading up to the crisis but much slower growth in the years since.  The regionals, however, have been chugging along: with the exception of a small downward trend during the crisis, they have enjoyed slow but steady growth since 2003.

There is a gap between deposits and loans among the regionals, but it is smaller than the Big Four’s gap.  Tellingly, the regionals’ gap has remained basically constant in size during the recovery, unlike the Big Four’s gap, which is growing.  Bank loans are important to economic growth, and the regional banks are growing their loan portfolios faster than the biggest banks.  That may be a good sign for the future if the regional banks provide more competition for the big banks and a more competitive banking sector overall.

Community banks play a key role in their local communities by offering traditional banking services to households and lending to nearby small businesses in the commercial, agriculture, and real estate sectors. Because of their close relationship with small businesses, they drive an important segment of economic growth. In fact, compared to all other banks (and to credit unions), small banks devote the greatest share of their assets to small business loans.

In this paper, titled "The community banks: The evolution of the financial sector, Part III," (PDF) Baily and Montalbano examine the evolution of community banks before, through, and after the financial crisis to assess their recovery.

The authors find that despite concerns about the long-term survival of community banks due a decline in the number of banks and increased Dodd-Frank regulations, they continue to recover from the financial crisis and are in fact out-performing the Big Four banks in several key measures.

Although the number of community banks has been steadily declining since before 2003, most of the decline has come from the steep drop in the smallest banking organizations—those with total consolidated assets of less than $100 million. Community banks with total consolidated assets that exceed $300 million have in fact increased in number. Most of the decline in community banks can be attributed to the lack of entry into commercial banking.

In a previous paper, Baily and Montalbano showed that the gap in loans and leases among the Big Four has widened since the financial crisis, but the new research finds that community banks seem to be returning to their pre-crisis pattern, although slowly, with the gap between deposits and loans shrinking since 2011. While total deposits grew gradually after 2011, though at a pace slower than their pre-crisis rate, loans and leases bottomed out in 2011 at $1.219 trillion.

The authors also examine community banks' return on assets (ROA), finding it was lower overall than for the Big Four or for the regionals, and has come back to a level closer to the pre-crisis level than was the case for the larger banks. The level of profitability was slightly lower for community banks in 2003 than it was for the larger banks—about 1.1 percent compared to 1.7 percent for the regional banks—but it did not dip as low, reaching a bottom of about -0.1 percent compared to -0.8 percent for the regional banks.

Baily and Montalbano also find that total assets of the community banks increased 22.5 percent (adjusted for inflation, the increase was 7 percent); the average size of community banks has increased substantially; total bank liabilities grew steadily from 2003-2014; the composition of liabilities in post-crisis years looked largely similar to the composition in the pre-crisis years; and securitization—which plays a relatively small role in the community banking model—has been steadily increasing in the time period both before and after the crisis. 

To read more, download the full paper here.

The paper is the third in a series that examines how the financial sector has evolved over the periods both before and after the financial crisis of 2007-2008. The first paper examines the Big Four banks, and the second takes a closer look at regional banks.

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• Download "The community banks: The evolution of the financial sector, Part III"

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

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

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

Video

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

Audio

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

Transcript

• Uncorrected Transcript (.pdf)

Event Materials

• 20160211_economic_advisers_transcript

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Structure of trade competitiveness

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

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

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

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

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

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

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

Twenty-five years ago, in March 1991, shaken by the fall of the Berlin Wall and the rise of nationalist-separatist movements in the Soviet Baltic and Caucasus republics, Mikhail Gorbachev held a historic referendum. He proposed the creation of a new union treaty to save the USSR. The gambit failed. Although a majority of the Soviet population voted yes, some key republics refused to participate. And so began the dissolution of the USSR, the event that current Russian President Vladimir Putin has called the “greatest geopolitical catastrophe” of the 20th century.

Today, in the wake of the referendum on leaving the European Union, British Prime Minister David Cameron seems to have put the United Kingdom on a similar, potentially catastrophic, path. Like the fall of the wall and the collapse of the Soviet Union, the fallout from Brexit could have momentous consequences. The U.K. is of course not the USSR, but there are historic links between Britain and Russia and structural parallels that are worth bearing in mind as the U.K. and the EU work out their divorce, and British leaders figure out what to do next, domestically and internationally.

A quick Russian history recap

The British and Russian empires formed at around the same time and frequently interacted. Queen Elizabeth I was pen pals with Ivan the Terrible. The union of the Scottish and English parliaments in 1707 that set the United Kingdom on its imperial trajectory coincided with the 1709 battle of Poltava, in which Peter the Great ousted the Swedes from the lands of modern Ukraine and began the consolidation of the Russian empire. The Russian imperial and British royal families intermarried, even as they jockeyed for influence in Central Asia and Afghanistan in the 19th century. The last Czar and his wife were respectively a distant cousin and granddaughter of British Queen Victoria. The Irish Easter Uprising and the Russian Revolution were both sparked by problems at home, imperial overstretch, and the shock of the World War I. 

Like the fall of the wall and the collapse of the Soviet Union, the fallout from Brexit could have momentous consequences.

Since the end of the Cold War, the U.K. and Russia have both had difficulty figuring out their post-imperial identities and roles. The U.K. in 2016 looks structurally a lot like the USSR in 1991, and England’s current identity crisis is reminiscent of Russia’s in the 1990s. After Gorbachev’s referendum failed to shore up the union, the Soviet Union was undermined by an attempted coup (in August 1991) and then dismantled by its national elites. In early December 1991, Boris Yeltsin, the flamboyant head of the Russian Federation, holed up in a hut deep in the Belarusian woods with the leaders of Ukraine and Belarus and conspired to replace the USSR with a new Commonwealth of Independent States (CIS). With Gorbachev and the Soviet Union gone by the end of December, the hangover set in. Boris Yeltsin was the first to rue the consequences of his actions. The CIS never gained traction as the basis for a new union led by Russia. 

The Ukrainians, Belarussians, and everyone else gained new states and new identities and used the CIS as a mechanism for divorce. Russians lost an empire, their geopolitical anchor, and their identity as the first among equals in the USSR. The Russian Federation was a rump state. And although ethnic Russians were 80 percent of the population, the forces of disintegration continued. Tatars, Chechens, and other indigenous peoples of the Russian Federation, with their own histories, seized or agitated for independence. Ethnic Russians were “left behind” in other republics. Historic territories were lost. Instead of presiding over a period of Russian independence, Boris Yeltsin muddled through a decade of economic collapse and political humiliation.

Separating the U.K. from Europe...could be as wrenching as pulling apart the USSR.

Is Britain laying the same trap?

Another Boris, the U.K.’s Boris Johnson, the former mayor of London and main political opponent of David Cameron, risks doing the same if he becomes U.K. prime minister in the next few months. Separating the U.K. from Europe institutionally, politically, and economically could be as wrenching as pulling apart the USSR. People will be left behind—EU citizens in the U.K., U.K. citizens in the EU––and will have to make hard choices about who they are, and where they want to live and work. The British pound has already plummeted. The prognoses for short- to medium-term economic dislocation have ranged from gloomy to dire. The U.K is a multi-ethnic state, with degrees of devolved power to its constituent parts, and deep political divides at the elite and popular levels. Scotland and Northern Ireland, along with Gibraltar (a contested territory with Spain), clearly voted to stay in the European Union. The prospect of a new Scottish referendum on independence, questions about the fate of the Irish peace process, and the format for continuing Gibraltar’s relationship with Spain, will all complicate the EU-U.K. divorce proceedings. 

Like Russia and the Russians, England and the English are in the throes of an identity crisis.

Like Russia and the Russians, England and the English are in the throes of an identity crisis. England is not ethnically homogeneous. In addition to hundreds of thousands of Irish citizens living in England, there are many more English people with Irish as well as Scottish ancestry––David Cameron’s name gives away his Scottish antecedents––as well as those with origins in the colonies of the old British empire. And there are the EU citizens who have drawn so much ire in the Brexit debate. 

As in the case of the USSR and Russia where all roads led (and still lead) to Moscow, London dominates the U.K.’s population, politics, and economics. London is a global city that is as much a magnet for international migration as a center of finance and business. London voted to remain in Europe. The rest of England, London’s far flung, neglected, and resentful hinterland, voted to leave the EU—and perhaps also to leave London. At the end of the divorce process, without careful attention from politicians in London, England could find itself the rump successor state to the United Kingdom. If so, another great imperial state will have consigned itself to the “dust heap of history” by tying its future to a referendum. 

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Last month, Russian President Vladimir Putin made his fourth visit to China since President Xi Jinping became top party leader in 2012. During this latest meeting, the two countries inked more than 30 deals, including an oil supply contract, and issued numerous joint statements, one of which criticized the United States for its plans to deploy missile defense systems on the Korean Peninsula and in the Balkans. Chinese state media speculate that this year’s China-Russia joint naval exercises, held annually since 2005, will likely be led by the South China Sea Fleet, reinforcing a general perception in China and elsewhere that U.S. policies are pushing Chinese leaders to consolidate ties with Russia.

On July 26, the John L. Thornton China Center at Brookings hosted a discussion on the U.S.-China-Russia trilateral relationship, the shape and scope of which carries far-reaching consequences for international order and global economic growth. Brookings President Strobe Talbott, who served as deputy secretary of state and ambassador-at-large on the new independent states following the Soviet breakup, provided an introduction. A panel of experts—J. Stapleton Roy, Fiona Hill, Yun Sun, and Cheng Li—discussed the current and historical dynamics at play, including expectations and recommendations for the future.

Video

• Is the United States losing China to Russia?

Audio

• Is the United States losing China to Russia?

Transcript

• Uncorrected Transcript (.pdf)

Event Materials

• 20160726_china_russia_us_transcript