Event Information

On December 1, the Center on the United States and Europe (CUSE) at Brookings hosted a discussion exploring Russian power throughout history and how two of its most pivotal rulers—Josef Stalin and Vladimir Putin—defined Russian leadership and its role in the world in the 20^th and 21^st centuries. The discussion featured remarks by Stephen Kotkin, professor at Princeton University and author of the authoritative new biography, Stalin Volume I: Paradoxes of Power, 1878-1928 (Penguin Press, 2014).

In his book, Kotkin reveals Stalin as a ruler who is both astute and blinkered, diligent and paranoid, cynical and true-believing, charming and vicious. However, Stalin is more than just an eminent biography; it is a book about Russian power in the world as well as Stalin’s power in Russia, recast as the Soviet Union. Ultimately, Stalin offers an analysis of power—where it comes from, how it is utilized or squandered, and what its human consequences are.

Brookings President Strobe Talbott offered introductory remarks and moderated the discussion.  Prior to assuming the leadership of Brookings, Talbott served in the U.S. State Department as ambassador-at-large for the former Soviet Union and then as deputy secretary.

Audio

• Putin and Russian Power in the World: The Stalin Legacy

Transcript

• Uncorrected Transcript (.pdf)

Event Materials

• 20141201_putin_russia_stalin_transcript

The G-20 Summit begins in Brisbane, Australia this Saturday, November 15. Leaders are descending on the city to tackle the biggest economic challenges facing the planet. A major theme of the discussions will likely be convergence—the rapid approach of average incomes in low- and middle-income countries towards those in advanced economies—and its sustainability. In a recent brief in the Brookings Global Think Tank 20 series, I explore this issue in the sub-Saharan African context, examining what has been holding the region back, how Africa might reach the rapid convergence seen by other emerging economies, and if and how convergence might be sustained. For my full brief, see here.

As most know, despite the “growth miracles” happening on the continent, sub-Saharan Africa still has a long way to go. Africa’s economic growth started much later and has gone much slower than the rest of the developing world; thus its per capita income gap against advanced economies still remains quite large. In fact, Africa hasn’t even converged with other emerging economies (see Figure 1). 

In addition to slow growth, Africa faces many, many challenges: Conflict-ridden countries still face a declining income per capita, and inequality is rampant. While Africa’s poverty rate is dropping, its share in global poverty is not: In 1990, 56 percent of Africans lived on under $1.25 a day, meaning that they represented 15 percent of those in poverty worldwide. Over the next 20 years, the region’s poverty rate dropped to 48 percent, but its share of global poverty doubled. At this rate, many predict that by 2030 Africa’s poverty rate will fall to 24 percent, but represent 82 percent of the world’s poor (Chandy et al., 2013). 

Of the utmost importance for convergence, though, is the issue of structural transformation in the region. If sub-Saharan Africa can reduce its reliance on unproductive and volatile sectors, it will build a foundation on which economic growth—and convergence—can be sustained.

Currently, African economies are characterized by a reliance on natural resources, agriculture and a budding services sector. Natural resources are, and will likely continue to be, major drivers of Africa’s economic growth: About 20 African countries derived more than 25 percent of their total merchandise exports in 2000-2011 from them. Unfortunately, this dependence on natural resources comes hand-in-hand with challenges such as financial volatility, rent-seeking behavior, and a loss of competitiveness, among many others—making a turn away from them necessary for long-term, sustainable growth. Similarly, most African economies depend heavily on the low-yield agriculture sector—its least productive sector and with the lowest income and consumption levels.

While labor has been moving out of the agriculture sector, it is moving into the services sector. From 2000-2010, the agriculture labor force share fell by about 10 percent while services grew by 8 percent (McMillan and Harttgen, 2014). While much of the movement into the services industry has been into productive areas such as telecommunications and banking, most service sector jobs in sub-Saharan Africa are informal.  Although informal activities offer earning opportunities to many people, they are often unstable and it is far from clear that they can be an engine of sustainable and inclusive high economic growth. In addition, growth in the services sector overall has historically not shown the economic returns that industry has.

If policymakers can enhance productivity in the services sector, then growth could take off even more rapidly, but until then, the highly productive manufacturing sector will be the key to Africa’s convergence. (For more on this, see the attached PowerPoint presentation.)

The Missing Piece: African Industry

Industrialization in Africa is low: Manufacturing–the driver of growth in Asia—employs less than 8 percent of the workforce and makes up only 10 percent of GDP on the continent (Rodrik, 2014). In comparison to the 8 percent growth in the services sector from 2000-2010, manufacturing saw only 2 percent growth (McMillan and Harttgen, 2014). In addition, the region’s manufacturing sector is dominated mostly by small and informal (and thus less productive) firms. Since the research has shown that industry was key to the explosive and continued growth in Asia and Europe, without concentration on or support of the manufacturing sector, African economies are not likely to replicate those convergence dynamics (Rodrik, 2014). Thus, Africa’s slow pace of industrialization means that, in addition to its late start time and its past sluggish growth, the region has another obstacle towards convergence.

There is hope, however; there are already hints that structural transformation might be happening. The recent rebasing of Nigeria’s economy revealed some important new trends. There, the contribution from oil and gas to GDP fell from 32 to 14 percent, and agriculture from 35 to 22 percent. At the same time, the telecommunication’s contribution sector rose from 0.9 to 9 percent, and manufacturing from 2 to 7 percent.

Achieving a successful economic transformation will help capitalize on improved growth fundamentals and achieve high and sustained per capita growth rates. However, for such a process to yield lasting benefits, it is crucial to better understand the ongoing structural changes taking place in Africa. This is an important task for economists studying Africa and, in addition to achieving a “data revolution,” both meta-analysis and case study methods can be useful complements to the current body of research on the continent.

References

Chandy, Laurence, Natasha Ledlie, and Veronika Penciakova. 2013. “Africa’s Challenge to End Extreme Poverty by 2030: Too Slow or Too Far Behind?” The Brookings Institution, Washington D.C. April 2013, http://www.brookings.edu/blogs/up-front/posts/2013/05/29-africachallenge-end-extreme-poverty-2030-chandy

Rodrik, Dani. 2014. “An African Growth Miracle?” NBER Working Paper No. 20188, June. http://www.nber.org/papers/w20188

Downloads

• Download the related powerpoint

The flight of humans from Syria has been rapid, massive and dynamic. The number of refugees has grown from 26,000 in the first year of the war to almost 4.2 million now, four years later. It is time for bold action from the world to support Turkey and the other countries of the region hosting the vast majority of refugees.

None of Syria’s neighbors – the primary hosts of refugees – expected the displacement to reach such a scale, nor for the crisis to last this long. Many believed in the early days of the Arab Spring that the oppressive regime of Bashar al-Assad would be replaced by a reformist-minded, popularly-elected government - mirroring the transition that had just taken place in Tunisia and Egypt. Instead, Syria became mired in a civil war between an ever-growing number of opposition groups and the regime, whose repression of civilians, regardless of any involvement in the crisis, has forced millions to flee in terror on either side of the country’s borders.

Until recently, the overwhelming majority of the refugees were fleeing the indiscriminate attacks of the Syrian government. More recently, ISIS has been a significant source of terror, while even more recently Russia’s entry into the conflict has triggered another wave of flight.

Today, the refugee populations registered in Lebanon, Jordan and Turkey total more than 4 million souls. Managing the presence of such large numbers of refugees has been costly on host countries economically, socially and politically. What was expected to be a temporary refugee influx has become a protracted crisis. With no signs of a resolution of the conflict in the foreseeable future, the refugees’ hope to return is diminishing.

The massive influx of refugees into Europe, often via extremely costly and life-threatening channels, reflects the despair and harsh living conditions that many refugees feel. Syrians constitute the majority of the 800,000 migrants that have crossed into Europe this year. As the crisis spills beyond Syria’s immediate neighbors, the EU is experiencing major challenges in managing a response. It is clear that attending to refugees is not only a concern of the immediate neighborhood – but that of a much wider region.

In looking at the challenges to Europe, it is important to underscore that neighboring countries have shouldered most of the burden of caring for the refugees, with inadequate assistance from the international community. Resettlement has been extremely limited, and roughly only a third of the pledges to U.N. response plans have been met.

Now is the time to adopt a comprehensive approach that will offer a better future for refugees and their hosts. Attention must be paid to two areas in particular: Education and access to employment. In this regard, it will be critical to move beyond a strategy focused on humanitarian relief to one explicitly structured around sustainable development and empowerment of refugees.

We need a globally-funded Recovery Program for the Middle East that brings about immediate action to mitigate the impact of the crisis on the economies and services of Syria’s neighbors. As part of that, we need to recognize the skills and income that refugees could contribute to the Turkish economy, if they were only allowed to do so. This program could not be carried out by the Turks alone, but would need the engagement of a range of actors – from the U.N. to the World Bank to the private sector and other donors.

Turkey and its neighbors have generously cared for more than 4 million refugees: But as the displacement crisis enters its fifth year, this burden needs to be shared out much more fairly and effectively.

Sadly, despite the desperate need for peace in Syria, we need to respond to the reality that Syrian refugees will not be able to return home for a while yet. As simultaneously the host of the world’s largest Syrian refugee population as well as host to the G-20 Summit, Turkey is in an ideal position to bring this reality to the attention of G-20 member-states – and leverage more resources to assist it and its neighbors to cope with the crisis.

G-20 leaders must commit to sharing Turkey’s burden and place increased emphasis on empowering refugees to shape their own destinies and become productive members of their host societies.

And it must be remembered: The majority of Syrians want to go home. Eventually they want to be able to contribute to rebuilding a stable and democratic nation for themselves and their families. But peace cannot be served while al-Assad drops barrel bombs on his people and ISIS beheads journalists on the steps of Palmyra. Our leaders must focus on a sustainable political solution to this conflict as the end goal of any plan for the region.

This piece was originally published by Hurriyet Daily News.

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

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

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

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

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

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

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

Event Information

In a world where borders matter less and where seemingly faraway threats can become immediate problems, the fight against poverty is no longer a matter of just doing the right thing – it is a matter of doing the smart thing to ensure security at home and abroad. As seen across the globe, by exhausting institutions, depleting resources, weakening leaders and crushing hope, extreme poverty fuels instability that often leads to armed conflict and can be a breeding ground for terrorists. The reverse is also true: insecurity stemming from conflict and demographic and environmental challenges makes it harder for leaders, institutions and other stakeholders to address poverty. Simply put, poverty is both a cause of insecurity and a product of it.

To explore this tangled web, in August 2006 the Brookings Blum roundtable discussed the challenges and possible solutions with a diverse group of leaders, including policymakers, business executives and academics, and developed recommendations for change.

1. Global Poverty, Conflict and Insecurity

• Susan Rice, The Brookings Institution, "Global Poverty, Weak States and Insecurity"
• Edward Miguel, University of California, Berkeley, "Global Poverty, Conflict and Insecurity"

2. Operating in Insecure Environments

• Jane Nelson, Harvard University, "Operating in Insecure Environments"

3. Keynote Address: "Achieving Peace in an Inequitable World"

• James D. Wolfensohn, Chairman of Citigroup International Advisory Board and Former President of the World Bank

4. The Role of Leadership in Overcoming Poverty & Security in Africa
   Chaired by: Mary Robinson, Realizing Rights: The Ethical Globalization Initiative

• Robert Rotberg, Harvard University, "The Role of Leadership in Overcoming Poverty & Insecurity in Africa"

Leadership Presentations:

• Mohammed Ibrahim, Chairman, Celtel International
• John Kachamila, Former Minister, Mozambique
• Ketumile Masire, Former President of Botswana

5. Resource and Environmental Insecurity

• Colin Kahl, University of Minnesota, "Demography, Environment and Civil Strife"
• Anthony Nyong, University of Jos, Nigeria, "Resource and Environmental Security"

6. Keynote Address

• Kemal Dervis, Administrator, United Nations Development Programme

7. Youth and Conflict

• Henrik Urdal, The International Peace Research Institute, "The Demographics of Political Violence: Youth Bulges, Insecurity and Conflict"
• Marc Sommers, Tufts University, "Embracing The Margins: Working with Youth Amidst War and Insecurity"
• Jane Nelson, Harvard University, "Operating in Insecure Environments: The Youth Demographic"

8. Transformational Diplomacy and the Route to Security

• Jennifer Windsor, Freedom House, "Breaking the Poverty-Insecurity Nexus: Is Democracy the Answer?"

Presentations:

• Philip Zelikow, United States Department of State
• Madeleine Albright, 64th Secretary of State
• Mary K. Bush, Chairman, HELP Commission
• Lael Brainard, The Global Economy and Development Program, The Brookings Institution

Event Information

The start of the 21st century has been an auspicious period for global economic development. In the 1990s, a mere 13 emerging economies succeeded in growing at a speed at least twice that of the OECD countries, enabling rapid convergence on Western living standards. By the first decade of the 2000s, this number had mushroomed to 83. Accelerated rates of economic growth lay behind many of the recent success stories in global development, not least the fulfilment of the first Millennium Development Goal to halve the global poverty rate, five years ahead of the 2015 deadline. Yet in a number of places, growth has failed to take off, has undergone periodic reversals, or has benefited a few while leaving the majority short-changed.

On August 7-9, 2014, Brookings Global Economy and Development is hosting the eleventh annual Brookings Blum Roundtable on Global Poverty in Aspen, Colorado. This year’s roundtable theme, “Jump-Starting Inclusive Growth in the Most Difficult Environment,” brings together global leaders, entrepreneurs, practitioners, and public intellectuals to discuss what strategies exist for promoting inclusive economic growth in settings where standard prescriptions are not feasible or sufficient as well as what the comparative advantages are of different actors seeking to improve the prospects for inclusive growth and how can they most effectively collaborate with each other to increase their impact. 

This event is closed, but you can follow along on Twitter using #Blum2014.

Roundtable Agenda

Event Materials

• PArticipant list

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.

One of the foundational notions of digital financial services has been the distinction between payment rails and services running on the rails. This is a logical distinction to make, one easily understood by engineers who tend to think in terms of hierarchies (or stacks) of functionalities, capabilities, and protocols that need to be brought together. But this distinction makes less sense when it is taken to represent a logical temporal sequencing of those layers.

It is not too much of a caricature to portray the argument —and, alas, much common practice— like this: I’ll first build a state-of-the art digital payments platform, and then I’ll secure a great agent network to acquire customers and offer them cash services. Once I have mastered all that, then I’ll focus on bringing new services to delight more of my customers. The result is that research on customer preferences gets postponed, and product design projects are outsourced to external consultants who run innovation projects in a way that is disconnected from the rest of the business.

This mindset is understandable given limited organizational, financial and human resource capabilities. But the problem with such narrow sequencing is that all these elements reinforce each other. Without adequate services (a.k.a. customer proposition), the rails will not bed down (a.k.a. no business case for the provider or the agents). In businesses such as digital payments that exhibit strong network effects, it’s a race to reach a critical mass of users. You need to drive the entire stack to get there, as quickly as possible. Unless, you develop a killer app early on, as M-PESA seems to have done with the send money home use case in the Kenyan environment.

It is tough for any organization to advance on all these fronts simultaneously. Only superhero organizations can get this complex job done. I have argued in a previous post that the piece that needs to be parceled off is not the service creation but rather cash management: that can be handled by independently licensed organizations working at arms length from the digital rails-and-products providers.

What are payment rails?

Payment rails are a collection of capabilities that allow value to be passed around digitally. This could include sending money home, paying for a good or a bill, pushing money into my or someone else’s savings account, funding a withdrawal at an agent, or repaying a loan. The first set of capabilities relates to identity: being able to establish you are the rightful owner of the funds in your account, and to designate the intended recipient in a money transfer. The second set of capabilities relates to the accounting or ledger system: keeping track of balances held and owed, and authorizing transactions when there are sufficient funds per the account rules. The third set of capabilities relates to messaging: collecting the necessary transaction details from the payment initiator, conveying that information securely to the authorizing entity, and providing confirmations.

Only the third piece has been transformed by the rise of mobile phones: we now have an increasingly inclusive and ubiquitous real-time messaging fabric. Impressive as that is, this messaging capability is still linked to legacy approaches on identity and accounting. Which is why mobile money is still more an evolution than a revolution in the quest for financial inclusion.

The keepers of the accounts —traditionally, the banks— are, of course, the guardians of the system’s choke points. There is now recognition in financial inclusion circles that to expand access to finance it is not enough to proliferate the world with mobile phones and agents: you need to increase the number and type of account keepers, under the guise of mobile money operators, e-money issuers or payment banks. But that doesn’t change the fundamental dynamics, which is that there still are choke point guardians who need to be convinced that there is a business case in order to invest in marketing to poor people, that there are opportunities to innovate to meet their needs, and that perhaps all players can be better off if only they interoperated. A true transformation would be to open up these ledgers, so anyone can check the validity of any transaction and write them into the ledger.

That’s what crypto-currencies are after: decentralizing the accounting and transaction authorization piece, much in the same way as mobile phones have decentralized the transaction origination piece. Banks seek to protect the integrity of their accounting and authorizations systems —and hence their role as arbiters of financial transactions— by hiding them behind huge IT walls; crypto-currencies such as Bitcoin and Ripple do the opposite: they use sophisticated protocols to create a shared consensus for all to see and use.

The other set of capabilities in the digital rails, identity, is also still in the dark ages. Let me convince you of that through a personal experience. My wallet was stolen recently, and it contained my credit card. I can understand the bank wanting to know my name, but why is the bank announcing my name to the thief by printing it on the credit card, thereby making it easier for him to impersonate me? The reason is, of course, that the bank wants merchants to be able to cross check the name on the card with a piece of customer ID. But as you can imagine, my national ID got stolen along with my credit card, and because of that the thief knows not only my name but also my address. That was an issue because I also kept a key to my house in the wallet. None of this makes sense: why are these “trusted” institutions subverting my sense of personal security, not to mention privacy?

The problem is that the current financial regulatory framework is premised on a direct binding of every transaction to my full legal identity. As David Porteous and I argue in a recent paper, what we need is a more nuanced digital identity system that allows me to present different personas to different identity-requesting entities and choose precisely which attributes of myself get revealed in each case, while still allowing the authorities to trace the identity unequivocally back to me in case I break the law.

The much-celebrated success of mobile money has so far really only transformed one third (messaging) of one half (payment rails) of the financial inclusion agenda. We ain’t seen nothin’ yet.

Expanding formal financial services—including traditional services (offered by banks) and digital services (provided via mobile money systems)—to individuals previously excluded from their access can improve their capacity to save, make payments swiftly and securely, and cope with economic shocks. Importantly, having access to financial services is also considered a critical component of women’s full economic participation and empowerment. Many countries, therefore, are working to increase accessibility to and usage of formal financial services as important strategies to improving individuals’ financial stability and, at a macro-level, supporting inclusive development and growth.

In sub-Saharan Africa, where the provision and uptake of traditional financial services is limited due to a wide range of factors (including poverty, lack of savings, and poor infrastructure, among others), a number of governments are working to promote digital financial service offerings by creating an enabling environment for various entities (including bank and non-bank formal providers) to offer them. In turn, the region is leading global progress in the adoption of digital financial services: 12 percent of sub-Saharan African adults have a mobile money account (nearly half of whom exclusively use digital services) compared with only 2 percent of adults at the global level. In fact, in five African countries (Cote d’Ivoire, Somalia, Tanzania, Uganda, and Zimbabwe) more adults have mobile money accounts than have conventional bank accounts.

In the first of a series of publications exploring and sharing information that can improve financial inclusion around the world, the Brookings Financial and Digital Inclusion Project (FDIP) takes stock of progress toward financial inclusion in 21 countries from various economic, political, and geographic contexts and scores them along four key dimensions of financial inclusion: country commitment, mobile capacity, regulatory environment, and adoption of traditional and digital financial services. The interactive rankings and report were launched on Wednesday, August 26 at an event entitled, “Measuring progress on financial and digital inclusion.” According to the report’s findings, four out of the five top-scoring countries are located in sub-Saharan Africa. On the other hand, some of the lowest ranked countries were also African, demonstrating regional diversity in the pathways toward financial inclusion and their subsequent outcomes.

Here are some of our main takeaways from four of the nine African case studies featured in the report: Ethiopia (ranked #21 overall), Kenya (ranked #1), Nigeria (ranked #9), and South Africa (ranked #2). Kenya and Ethiopia are the highest- and lowest-ranked African countries in the report, respectively, while Nigeria and South Africa represent the continent’s two largest economies, which have achieved disparate outcomes in terms of financial inclusion. (For the overall rankings of the nine African countries included in the report, see Figure 1.)

Figure 1. Overall FDIP rankings of African countries

• Ethiopia’s overall financial and digital inclusion score was low due in large part to its poor mobile capacity and the low adoption rates of formal (particularly digital) financial services. The World Bank’s Global Financial Inclusion Index (Findex)—one of the major datasets highlighted in the report—reveals that only 22 percent of adults in Ethiopia had a formal financial account and about 0.03 percent of adults had a mobile money account in 2014.
• In addition, limited development of the information and communications technologies (ICT) sector and mobile communications infrastructure have inhibited mobile and digital access, reducing the array of financial products and services available to underserved populations.
• However, Ethiopian digital financial inclusion has the potential and political support to grow: The government is taking steps to address shortcomings in the enabling environment for digital financial service provision, for example, by adopting a mobile and agent banking framework in 2013. This framework sets the foundation for allowing banks and microfinance institutions to provide services through mobile phones and agents. The government is also in the process of developing a dedicated Financial Inclusion Council and secretariat in order to enhance participation from non-financial institutions (namely, mobile network operators) in developing policies for achieving greater digital financial inclusion.

Kenya: Mobile money innovations drive uptake

• Kenya scored highest in the overall rankings due to its highly accessible mobile networks, regulatory framework conducive to the development of digital financial services, and products that cater to consumer needs and so promote adoption. Kenya also has the highest rate of financial account penetration among women.
• Between 2011 and 2014, Kenya increased its levels of formal financial and mobile money account penetration by 33 percentage points owing mostly to robust take-up within the country’s vibrant mobile money ecosystem. Nearly 90 percent of Kenyan households reported using mobile money services as of August 2014, and the M-Pesa system (operated by Safaricom) is widely considered the leading driver of success in adoption of mobile money usage.
• Innovative services that have helped spur financial inclusion among marginalized groups have been developed within Kenya’s mobile network operator-led (MNO-led) approach: For example, in 2012, the Commercial Bank of Africa and Safaricom partnered together to provide the M-Shwari service, which offers interest-bearing mobile money accounts and microfinance.
• Still, one aspect of the mobile money system upon which the Kenyan government could improve is consumer protection of clients of credit-only institutions, such as microfinance institutions (MFIs) and savings and credit cooperatives (SACCOs). Lack of oversight could potentially leave users without adequate consumer protection as these institutions are not adequately regulated and supervised.

Nigeria: A stalled bank-led approach

• Nigeria achieved a moderate score in the FDIP rankings because, despite a number of country commitments in recent years, low levels of adoption persist. In fact, Nigeria’s increase in financial inclusion has not been driven by uptake of mobile money services: While the proportion of adults age 15 and older who have a mobile money or traditional bank account increased from 30 percent in 2011 to 44 percent in 2014, only 0.1 percent of adults had a registered mobile money account in 2014 and had used it at least once in the 90 days prior, according to an Intermedia survey.
• The Central Bank of Nigeria (CBN) has taken a bank-led approach to mobile money, in which banks promote their traditional services via the mobile network. This is an alternative approach to the MNO-led approach seen in Kenya, where MNOs provide the network of agents and manage customer relations. Some experts have noted that in cases where a bank-led approach is adopted, for example in India, the financial incentives are not strong enough for banks to expand their services to the unbanked, while mobile network operators on the other hand have greater “assets, expertise, and incentives” to launch and scale mobile money services.

South Africa: Strong mobile capacity, yet room for growth in adoption

• South Africa was ranked highest of all countries in the report in mobile capacity for its robust mobile infrastructure and large proportions of the population subscribing to mobile devices (70 percent) and covered by 3G mobile networks (96 percent). It also tied for the highest score of formal account penetration, including among rural, low-income, and female groups.
• In the past decade, financial inclusion (as measured by the proportion of the population using financial products and services—formal and informal) has increased dramatically from 61 percent in 2004 to 86 percent in 2014. This uptick can be partially attributed to the increase in banking and ownership of ATM/debit cards. Disparities in penetration exist, however, among gender and race, with women and white populations being more likely to be banked than men and black populations.
• As cited in the Brookings FDIP 2015 report, the 2014 Global Findex found that 14 percent of adults (age 15 and older) possessed a mobile money account in 2014. The top 60 percent of income earners were more than twice as likely to have accounts as the bottom 40 percent of the income scale. So despite strong mobile capacity, there is still room for growth in terms of mobile money penetration especially among low-income adults.

The FDIP case studies offer a number of insights into the policies and frameworks conducive to the uptake of formal financial services. In several of African countries considered to be mobile money “success stories,” for example, in Kenya (also see the Rwanda country profile in the report), mobile network operators play a substantial role in spearheading the drive toward financial inclusion and have collaborated closely with central banks, ministries of finance and communications, banks, and non-bank financial providers. Ensuring the participation of all stakeholders—not just governments and banks—in setting the national financial inclusion priorities and agenda, then, is critical. Furthermore, actively participating in multinational financial inclusion networks can enhance knowledge-sharing among members and lead to further country commitments. Finally, leading surveys of the national financial inclusion landscape can also help governments and financial service providers better target their strategies and services to the local needs and context.

About 12,000 troops will parade through Tiananmen Square in Beijing tomorrow to celebrate the 70th anniversary of Japan’s surrender to the allies in World War II. China’s leadership is ostensibly using the anniversary as an opportunity, to use the Chinese phrasing, to celebrate “victory in the World Anti-fascist War and the Chinese people’s War of Resistance against Japanese Aggression.”

But really, the purpose is to display its modernized weaponry ahead of several key international visits by President Xi Jinping. For Western leaders, the parade has proven a diplomatic nightmare: The Chinese have pressured them to attend, but they realize that the event is aimed at celebrating the country’s new international assertiveness (and perhaps to sideline a rather bloody summer on the Chinese stock markets). 

Students pose with Chinese national flags and red stars in preparation for the parade on August 31, 2015. Photo credit: Reuters/China Daily.

It’s the present, stupid

Sixty-six years after the end of the war, the world has been learning how to deal with a new China—now a powerful country with a strong economy and an increasingly well-equipped military. China’s defense budget has seen a double-digit increase for the past 25 years, and the country now has J-15 fighter jets, Z-19 attack helicopters, and a truck-mounted version of the DF-41 intercontinental missile. There is little doubt the parade will be impressive both in precision and display. 

In spite of how the Chinese leadership spins it, the parade is not just about history—it’s also about the present and the future. China is using it as a moment to show off its strengths and assert a stronger role in the Asia-Pacific region (as tensions in the South China Sea remain high), if not the world.

The red carpet

One interesting sight will be the VIP box: Which heads of state will actually attend? Confirmed leaders include Russian President Vladimir Putin (who himself hosted Xi Jinping last May for a huge victory parade in Moscow); South African President Jacob Zuma; Venezuelan President Nicolas Maduro; Sudanese President Omar Hassan al-Bashir (who has an international arrest warrant against him); and—somewhat unexpectedly considering World War II sensitivities in the region—South Korean President Park Geun-hye. Park will attend ceremonies, but not the parade. North Korean leader Kim Jong Un will not be present, nor will Japanese Prime Minister Shinzo Abe. 

Fellow leading industrial nations countries don’t want to put Japan in a bind, but no one is willing to offend China. Hence, state leaders have responded to the standing Chinese invitation with an array of contortions. In the end, no Western leader will attend: President Barack Obama—who will be hosting Xi Jinping in the United States in a few weeks—will be represented by U.S. Ambassador to China Max Baucus. Unlike for the launch of the Asian Infrastructure Investment Bank (AIIB) earlier this year, Washington didn’t pressure other Western leaders to avoid Beijing. This wasn’t necessary, as those governments all had their own reasons for staying away. Even the German president—a largely ceremonial figure—has declined. So has his French counterpart François Hollande, who will travel to China in October to discuss climate issues; French Foreign Minister Laurent Fabius will attend instead. Italy will also be represented by its foreign minister. As for the United Kingdom, Prime Minister David Cameron chose to wait for the Chinese state visit to London in October to meet Xi in person. Britain is represented by a former Conservative cabinet minister, Kenneth Clarke. Even more surprising is the list of retired statesmen: former German Chancellor Gerhard Schroeder, who is known to have engaged with Russia’s Putin after leaving office in 2005, will be in there, like his friend and former U.K. counterpart Tony Blair. 

Aircraft perform during a rehearsal on August 23, 2015 for the September 3 military parade in Beijing. Photo credit: Reuters.

Enough troubles

The U.S.-China relationship is already complicated enough and needs no further upsets. While China flexes its muscles with a parade, America is in the middle of a presidential campaign during which candidates—such as Republican Wisconsin Governor Scott Walker, who recently called on President Obama to cancel Xi's visit—are openly criticizing China. For his part, Donald Trump claimed that “China would be in trouble” should he become president, adding: “The poor Chinese.” Although these kinds of comments cannot be taken too seriously, they will require even more diplomatic skills on the part of the current administration, and its successor, to fully restore fully the U.S.-China dialogue.

In these circumstances, it is no surprise that Washington has shown little interest in attending the Beijing events. Nor does the Obama administration want to be part of a demonstration of assertiveness weeks before a state visit to Washington by President Xi. History tells us that U.S.-China relations are going to get even more interesting than a parade.

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.