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

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

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

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Roundtable Agenda

Wednesday, August 5, 2015

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

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

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

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

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

Moderator:

• Kemal Derviş, Brookings Institution

Introductory remarks:

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

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

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

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

Moderator:

• Henrietta Fore, Holsman International

Introductory remarks:

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

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

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

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

Thursday, August 6, 2015

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

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

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

Moderator:

• Anne-Marie Slaughter, New America Foundation

Introductory remarks:

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

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

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

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

Moderator:

• Smita Singh, President’s Global Development Council

Introductory remarks:

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

Friday, August 7, 2015

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

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

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

Moderator:

• Laura Tyson, Blum Center for Developing Economies

Introductory Remarks:

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

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

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

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

Moderator:

• Mary Robinson, Mary Robinson Foundation - Climate Justice

Introductory remarks:

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

Closing remarks:

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

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The last time policymakers substantially reviewed federal communications policy, it was the early 1990s. At that time, the Internet was only beginning to reveal itself to be the dynamic technology seen today. Mobile devices and services, such as 100 megabit broadband, smartphones, applications, social networks, tablets, and digital streaming, were barely imagined, let alone factored into policy discussions. As the recent debate around net neutrality highlights, policymakers today can be hamstrung in efforts to fit today's communications technologies and services into last century's communications law. Given that most major communications laws are out of step with today’s advanced mobile capabilities, what shape would smart, updated legislation and regulatory changes take? What are the major changes to U.S. communications law that most need to be addressed and implemented?

On March 24, the Center for Technology Innovation at Brookings hosted a conversation with Craig Silliman, general counsel and executive vice president for public policy at Verizon, to examine what 21st century communications polices might look like.

Video

• Updating communications law and regulations for the mobile era

Audio

• Updating communications law and regulations for the mobile era

Transcript

• Uncorrected Transcript (.pdf)

Event Materials

• 20150324_communications_law_transcript

      

Choosing a health plan on one of the new public or private exchanges is no easy task. That’s especially true for those with medical conditions who want to be very sure the plan they enroll in will provide the services they need.

This challenge is not unique to buying health plans, however. It’s always hard for consumers to buy complex and technical services or products when they have little or no expertise in the field. Health insurance can be especially daunting, with so many factors to consider, and even the terminology can be confusing.

Standardizing choices and terms can be helpful to a point. Grouping health plans according to premiums and out-of-pocket costs – bronze, silver, gold and platinum plans – has worked well in the public exchanges. But standardization will always be in tension with innovation, and the reality is that most exchanges will carry a larger inventory of plans than what the typical consumer wants to scroll through. So the question of “choice architecture” – how the plans are filtered or screened – will come to the fore. 

Consumers will have many questions.  What is the price? How do I assess the trade-off between lower premiums and higher cost sharing? Is my doctor in the plan’s network? Are the drugs I take in the formulary (whatever that is)? Things can get real complicated real fast, and it can feel like there are too many, not too few, choices. No wonder some call that “choice anxiety”.

But that view overlooks how technology is likely to reduce choice anxiety in health care, just as it has for other complicated searches.  It used to take a librarian to find an obscure article or a travel agent to plan a vacation. Today a few keystrokes on Google locates the article, and Travelocity makes vacation planning a cakewalk, with everything from on-time flight arrival data to pictures of hotel rooms and customer reviews arranged by star ratings.

Expect technology to have the same dramatic impact on buying health coverage in the near future. There are several reasons for this:

The presentation of consumer information will get better. When large new markets for products and services are created and the demand for buyers’ information rises sharply, the incentive for entrepreneurs – both for-profit and nonprofit – to provide customer-friendly information also rises. We’ve already seen this in parts of the health care market where there has been plenty of choice. Millions of federal employees have for many years been able choose among a wide range of plans with differing benefits.  Many have turned to the highly regarded Consumers’ Checkbook to help them understand and readily compare plans in the federal program.

Checkbook has launched a similar comparison tool for the  Illinois exchange and recently won the Robert Wood Johnson Foundation’s (RWJF) first "Plan Choice Challenge," a nationwide competition to design a technology application that helps people choose their best health plan options.

Navigation technology will make searches simple and quick.  Most consumers don’t want to spend a lot of time comparing plans; they want to find the best buy for their situation as quickly as possible.  That’s why brokers have traditionally encouraged employers to offer their employees a carefully limited set of shopping choices, but we expect plan navigation technology to constantly improve the shopping experience in ways that will help customers search a larger inventory and still make choices more easily.   Stride Health, a San Francisco startup and finalist in the RWJF Challenge, has developed a recommendation technology that searches massive data sets on networks and formularies in seconds to help consumers find a “match” that fits their budget and health care needs.  (Full disclosure – author Joel Ario is an investor).  

Stride is one of more than 40 “web brokers” that has met federal consumer protection and privacy standards enabling it to work with the federal exchange to enroll subsidy-eligible individuals in coverage.  Expect increasing collaboration between public exchanges and private vendors, with a surge of apps and gadgets to make navigation easier and easier in health exchanges.

Technology will allow choices to be tailored to medical history.  Advances in technology won’t just make it technically easier to pick and choose by price and reputation. These advances will also empower Americans to base their choices on their likely medical needs. Today, tailoring your coverage to your medical condition usually means trying to get a doctor– or several doctors– to help you figure out what you should look for in a plan. Even with that help, for the average person it’s still a hit-or-miss proposition. But new forms of choice technology are beginning to utilize questions about medical history to guide buyers towards the plans that are most suited to their condition.  

Checkbook and Stride already allow consumers to enter more detailed health histories and get more sophisticated assistance, and this will only improve as exchanges publish more data in machine readable formats.   Expect more and increasingly sophisticated customized navigators, especially as patients get more access to their electronic medical records.  Also expect sellers to respond with products than bundle services to meet the new demand.

Does this mean that an iPhone app will be all that’s needed to ensure that every consumer can find his or her perfect plan? Not quite.  Health insurance marketplaces will continue to present thorny regulatory challenges.  Insurance regulators will need to guard against unfair practices, such as insurers’ designing benefit plans to drive away applicants with certain health conditions; privacy concerns will be raised whenever apps ask for medical history; and new forms of provider integration will test antitrust doctrine.

But one thing is clear. Improving technology will soon make picking the right health plan a far more precise and simple process – easy enough for many of our children to do on their smart phones or whatever gadget comes next.

      

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

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.

Did the Highway Increase Human Mobility?

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.

The Success of Big Data

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.

      

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

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

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

Mapping call data records, mobility, and economic activity

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

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

How can we get such high resolution poverty maps from CDR data?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      

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.

      

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      

Mobile devices are making a big difference in the lives of billions of people around the world who use them every day. Internet-enabled smartphones and tablets provide access to information and a channel of communication for users. Building wireless networks to support mobile devices requires large capital investments from wireless carriers who must purchase wireless spectrum and infrastructure. To ensure that mobile services are reliable and affordable, national governments must allocate enough wireless spectrum to commercial carriers to satisfy demand. This is the subject of a new paper from Shamika Ravi and Darrell M. West titled “Spectrum Policy in India."

A scarce resource

Mobile devices typically operate on frequencies from 30 kHz to 300 GHz on the radio spectrum. Unless spectrum is allocated efficiently, the scarcity of available frequencies leads to poor quality and high costs for mobile broadband. The growing demand for mobile service in India currently exceeds the amount of spectrum available to wireless carriers. The scarcity of wireless spectrum limits reliable Internet access for mobile subscribers who have no alternative point of access. According to the Cellular Operators Association of India, nearly 60 percent of Internet users only have access through their mobile phones.

Mobile service in India is relatively expensive for many consumers because the Indian military reserves so much spectrum for their own use. Much of this spectrum goes underutilized, even as commercial carriers plead for more spectrum to be released. When the Indian government does release spectrum, it is typically through auctions with high starting bids. Setting high starting bids for blocks of spectrum can lead to high selling prices that force wireless carriers to take out large loans. Higher prices for spectrum raise costs for consumers and reduce private sector investment in wireless infrastructure. Rather than make spectrum artificially scarce, the Indian government should work with wireless carriers to lower the prices for consumers. 

Investing in India’s future

Reliable mobile service has the potential to greatly enhance economic growth in India. Analysis from the Boston Consulting Group found that the India’s mobile sector grew at 12.4 percent annually from 2009-2014; it now accounts for 2.2 percent of India’s gross domestic product. Potential growth comes from filling gaps in educational and health care spending in rural communities. Innovative mobile applications provide a low cost method of sending education and health care resources to underserved rural communities that lack physical infrastructure. In India’s rapidly growing cities, mobile services are seen as a way to improve the quality of government services and promote entrepreneurship. Prime Minister Narendra Modi recently designated 100 “smart cities” that would use technology to overcome the challenges of India’s rapid urbanization.

India could free up spectrum by adopting the “NATO Band” of spectrum for military uses and auctioning off the remaining spectrum.  The NATO band is used by the militaries of NATO member countries and several of their allies, and it already overlaps with much of the Indian military’s spectrum.  Furthermore, the Indian government must lower the minimum bids at spectrum auctions and lower taxes so that wireless carriers have enough profits to build their networks.  Mobile technologies are rapidly evolving, and each new generation has greater demands for spectrum. Regulators in India will not only have to maintain affordable prices for the current generation of mobile technology, but also anticipate upgrades that will deliver more data at faster speeds.

      

In a new paper, Shamika Ravi and Darrell West examine mobile technology in India, particularly the crucial role spectrum policy plays in facilitating wireless growth. The availability of devices, high telecommunications costs, and taxes on mobile usage make it difficult for consumers and businesses to take full advantage of the mobile revolution. India has enormous potential for growth in mobile applications as is reflected in its massive number of mobile customers.

While smartphone use has risen in the developing world, increasing access and capacity in key areas like education, health care, transportation, and commerce, countries are finding increased wireless utilization running up against the constraints of radio spectrum available. The frequencies necessary to keep mobile devices connected represent for many countries a scarce natural resource often used for defined purposes that cannot be used for other purposes. Without adequate spectrum, consumers in developing countries in particular may face dropped calls, reduced wireless availability, or high prices, causing slower mobile growth in many countries.

Ravi and West recommend that India open up spectrum space, revamp auctions, make sure that costs are affordable so that consumers don’t pay high telecom prices, enable the trading and management of spectrum, and harmonize regional rules. Without this commitment to a viable digital ecosystem, mobile growth will stagnate and it will be difficult to obtain the benefits of the mobile revolution.

 

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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: A developing mobile services ecosystem

• 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.

So what’s next for expanding financial and digital inclusion?

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.

       

This post originally appeared in the opinion page of the Boston Globe on October 1, 2015.

As they ratchet up a campaign for backdoor access to information on iPhones and other devices with encryption, some law enforcement leaders paint a dark vision of technology. Manhattan DA Cyrus Vance suggests that passcodes on smartphones blocked identification of a murderer. British Prime Minister David Cameron sees a “safe haven” for terrorists “in dark places.” FBI Director James Comey alludes to phones buzzing devilish messages in the pockets of ISIS recruits and says widespread encryption “threatens to lead us to a very, very dark place.”

Sure, it’s the job of law enforcement officers to look on the dark side, and to focus on protecting people and catching criminals. But evil lies with terrorists and criminals — not the phones or apps they use. Cellphones are targets simply because they have become such rich new sources of evidence for law enforcement. Chief Justice John Roberts called them windows into our entire lives.

Comey acknowledges the benefits of strong encryption may outweigh the costs, but says “part of my job is make sure the debate is informed by a reasonable understanding of the costs.” Part of my job at the Commerce Department a few years ago was to make sure government debate on security and law enforcement issues was informed by a reasonable understanding of costs to security and privacy, innovation, economic growth, and democratic values in the world.

With backdoors, these costs are real. Leading cryptologists have detailed how backdoors would create “grave security risks.” Comey has suggested to Congress that tech companies can solve this problem if only they spend enough time on it. Yet no amount of magical thinking can undo the contradiction between promoting strong encryption as a defense against the barrage of identity theft, espionage, and other cybercrimes while opening up new vulnerabilities.

There is an acute need to strengthen data security everywhere, and no realistic way to leave a door open for good guys and democracies that have rigorous checks and balances but not for cybercriminals or authoritarian states.

Backdoors undermine not only security, but also the competitive position of US companies that are trying to strengthen global trust in their brands and correct perceptions of “direct access” for US intelligence and law enforcement left by the Snowden leaks.

If backdoors are adopted for US products, people intent on keeping information secure, whether for benign or nefarious reasons, will turn to alternatives like cheap burner phones, devices sold in other countries, and encryption applications.

The United States would face a choice of whether to join the ranks of countries that try to block devices and services. That dilemma shows another important cost of backdoors — they undermine America’s position in the world.

The United States has promoted technologies that help democratic activists avoid surveillance by repressive governments, objected to measures in India and China that imply backdoors or block imports of encrypted devices like Blackberries, and taken unprecedented steps to provide transparency and limits on foreign intelligence collection. If the United States adopts backdoor requirements, though, no matter how constrained by checks and balances, it will face cries of hypocrisy.

In the backdrop of President Obama’s discussions with Chinese President Xi Jinping about cybersecurity are concerns about Chinese measures that require “secure and controllable” information technology and assert “Internet sovereignty.” It is hard to picture our president making headway on such concerns if his own government is contemplating backdoors.

In the end, the president himself likely will have to decide where his administration comes out on backdoors. When he does, he will have to pick sides.

The choices are less stark than the law enforcement meme “going dark” implies. Even so, it may be, as Chief Justice Roberts has written, that “Cellphones have become important tools in facilitating coordination and communication among members of criminal enterprises” but “Privacy comes at a cost.” So do security and trust.

The time has come for the president to shut the door on backdoors and send a clear message to the world that American technology is a trusted instrument of freedom.

       

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

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

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

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

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Abstract

New and emerging work relationships arising in the “online gig economy” do not fit easily into the existing legal definitions of “employee” and “independent contractor” status. The distinction is important because employees qualify for a range of legally mandated benefits and protections that are not available to independent contractors, such as the right to organize and bargain collectively, workers’ compensation insurance coverage, and overtime compensation. This paper proposes a new legal category, which we call “independent workers,” for those who occupy the gray area between employees and independent contractors.

Independent workers typically work with intermediaries who match workers to customers. The independent worker and the intermediary have some elements of the arms-length independent business relationships that characterize “independent contractor” status, and some elements of a traditional employee-employer relationship. On the one hand, independent workers have the ability to choose when to work, and whether to work at all. They may work with multiple intermediaries simultaneously, or conduct personal tasks while they are working with an intermediary. It is thus impossible in many circumstances to attribute independent workers’ work hours to any employer. In this critical respect, independent workers are similar to independent businesses. On the other hand, the intermediary retains some control over the way independent workers perform their work, such as by setting their fees or fee caps, and they may “fire” workers by prohibiting them from using their service. In these respects, independent workers are similar to traditional employees.

Evidence is presented suggesting that about 600,000 workers, or 0.4 percent of total U.S. employment, work with an online intermediary in the gig economy. Although there are probably many more workers who currently work with an offline intermediary who would qualify for independent worker status than there are who work with an online intermediary, the number of workers participating in the online gig economy is growing very rapidly.

In our proposal, independent workers — regardless of whether they work through an online or offline intermediary — would qualify for many, although not all, of the benefits and protections that employees receive, including the freedom to organize and collectively bargain, civil rights protections, tax withholding, and employer contributions for payroll taxes. Because it is conceptually impossible to attribute their work hours to any single intermediary, however, independent workers would not qualify for hours-based benefits, including overtime or minimum wage requirements. Further, because independent workers would rarely, if ever, qualify for unemployment insurance benefits given the discretion they have to choose whether to work through an intermediary, they would not be covered by the program or be required to contribute taxes to fund that program. However, intermediaries would be permitted to pool independent workers for purposes of purchasing and providing insurance and other benefits at lower cost and higher quality without the risk that their relationship will be transformed into an employment relationship.

Our proposal seeks to structure benefits to make independent worker status neutral when compared with employee status, as well as to enhance the efficiency of the operation of the labor market. By extending many of the legal benefits and protections found in employment relationships to independent workers, our proposal would protect and extend the social compact between workers and employers, and reduce the legal uncertainty and legal costs that currently beset many independent worker relationships.

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

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

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

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

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

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

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

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

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	Paying the Way for the Digital Money Revolution  This essay discusses the opportunities provided through increased financial inclusion, cashless payments and the application of other payment technologies as well as the possible obstacles that stand in their way. It finds that customers are more likely to use digital services if there is also a human component, such as an agent or a calling center, to boost trust. Read the essay (PDF) | Overheard at the roundtable (PDF)
	Fulfilling the Promise of Internet Connectivity This essay describes the positive and negative impacts of Internet connectivity for societies, and examines why so many people who live in places with access to the Internet are not users, and what possible options are to get more people online. Read the essay (PDF) | Overheard at the roundtable (PDF)
	Expanding Knowledge Networks Through Digital Inclusion   This essay explores how digital inclusion increases knowledge by providing access to information, generating big data, and by expanding access to online education. It describes how to use this knowledge to maximize benefits for the poor. Read the essay (PDF) | Overheard at the roundtable (PDF)

       

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.

       

La monnaie électronique a émergé dans les pays de l'Union Economique et Monétaire Ouest Africaine, à la faveur de l'adoption, en 2006, d'une Instruction de la Banque Centrale, instaurant un cadre réglementaire souple et incitatif pour l’exercice de cette activité. L'implication des opérateurs de télécommunications dans l'offre de services financiers basés sur la téléphonie mobile a donné,  dès 2009, une nouvelle dimension à cette activité par l'accroissement du nombre des utilisateurs et des volumes de transactions.

Une activité en expansion

A fin septembre 2015, 22 millions de personnes, soit près d'un quart de la population de l'Union, ont souscrit à des services financiers via la téléphonie mobile. Environ 30% de ces abonnés réalisent au moins une opération sur une période de 90 jours.

Près de 500 millions de transactions ont été aussi réalisées au cours des neuf premiers mois de l'année 2015. La valeur cumulée des transactions atteint 5000 milliards de FCFA (8,5 milliards USD) à fin septembre 2015. De septembre 2013 à septembre 2014, cette valeur est passée de 1000 milliards à 2068 milliards de F CFA, soit une hausse de 107%.

Le réseau de distribution des services financiers via la téléphonie mobile suit également cette tendance haussière, en passant de 93 621 points de services en 2014 à plus de 132 658 points de services à fin septembre 2015.

Source: BCEAO

Le contexte socioéconomique de l'Union explique pour une large part, le succès des services de paiement via la téléphonie mobile. En effet, ce mode de prestation des services de transfert ou de paiement se révèle particulièrement adapté pour les personnes n'ayant pas accès au système bancaire classique, tout en offrant l'opportunité à des institutions non bancaires, en contrepartie de dépôt d'espèces, de mettre à la disposition des usagers une monnaie autre que fiduciaire, dont l'encours leur permet d'effectuer des transactions financières diverses.

L'implication croissante des opérateurs de télécommunications

Les partenariats entre les banques et les opérateurs de télécommunications occupent une place dominante sur le marché. En fin 2015, sur les 33 émetteurs de monnaie électronique sous licence, 25 appartenaient aux dits partenariats.

Au titre du modèle non bancaire, sept acteurs non bancaires ont été agréés pour émettre la monnaie électronique en qualité d'Etablissement de Monnaie Electronique (EME).[1]

Source: BCEAO

Un cadre réglementaire rénové

A la faveur de l'expansion des services financiers via la téléphonie mobile et de l'implication croissante des opérateurs de télécommunication, la Banque Centrale a rénové son cadre réglementaire afin de renforcer la sécurité et la qualité des services de paiement adossés à la monnaie électronique. Les principaux axes d'amélioration portent sur:

• une responsabilisation accrue des émetteurs en clarifiant leurs rôles dans les partenariats avec des prestataires techniques. Ainsi, les activités de prestataire technique sont limitées, sous la responsabilité de l'émetteur, au traitement technique de la monnaie électronique ou à sa distribution. De même, les émetteurs demeurent responsables, de l’intégrité, de la fiabilité, de la sécurité, de la confidentialité et de la traçabilité des transactions réalisées par chacun de leurs distributeurs;


• une stimulation de la concurrence par la transparence de la tarification avec l'obligation faite aux émetteurs de publier leurs tarifs;


• la formulation d'exigences spécifiques en matière de gouvernance et de contrôles interne et externe pour les établissements de monnaie électronique, en exigeant l'honorabilité des dirigeants, le respect du secret professionnel et des audits réguliers des infrastructures;


• une protection accrue des détenteurs de monnaie électronique avec d'une part, le cantonnement des fonds dans  des comptes dédiés, et l'exigence d'une équivalence continue entre l'encours de monnaie électronique et les soldes des comptes de cantonnement et d'autre part, l'obligation de la mise en place d'un mécanisme de recueil et de traitement des réclamations des porteurs de monnaie électronique;


• le renforcement du dispositif de supervision, par la réduction des délais de reporting des activités des émetteurs à la Banque Centrale, et l'adoption de sanctions pour les infractions aux dispositions réglementaires.

L'offre de services financiers via la téléphonie mobile

L'offre de services financiers via la téléphonie mobile comprend trois catégories de services. Il s'agit des services qui impliquent l'usage des espèces (monnaie fiduciaire), de ceux qui sont effectués en monnaie électronique et des services dits de « deuxième génération ».

Le premier type de services concerne essentiellement les dépôts d'espèces ou rechargements de porte-monnaies électroniques, ainsi que les retraits. Ils représentent 24% des transactions effectuées par les utilisateurs. Les dépôts d'espèces sont prédominants et permettent aux clients d'approvisionner leurs comptes de monnaie électronique.

La monnaie électronique rechargée est utilisée à hauteur de 76%, prioritairement pour les achats de crédit téléphonique, les paiements de factures, l'exécution de transferts de personne à personne, de personne à entreprise et aux Administrations publiques. Les principaux services de paiement dans l'UEMOA sont liés au règlement des factures relatives à la consommation d'eau, d'électricité, l'abonnement à des chaînes de télévision satellitaires, l'achat de marchandises dans les grandes surfaces ou de carburant dans les stations-service.

Des paiements d'impôts et taxes auprès des Administrations publiques et le remboursement des échéances de microcrédit sont également effectués, mais de façon très marginale.

Dans l'UEMOA les services dits de « deuxième génération », à savoir la micro-assurance, la micro-épargne et le micro-crédit, font leur apparition. Leur développement pourrait constituer une opportunité de bancarisation des utilisateurs de ces services.

Enfin, un début d'interopérabilité est mis en œuvre sur la base de conventions bilatérales entre les acteurs, notamment en vue d’offrir des services de paiement transfrontaliers entre les Etats membres de l'Union.

Les défis à relever

L'examen de l’évolution des services financiers via la téléphonie mobile dans l'UEMOA fait ressortir quelques obstacles à un développement plus rapide de ces services financiers au sein de l'UEMOA. Il s'agit de:

• la faiblesse du taux d'utilisateurs actifs, en raison du coût élevé des services;
• la méconnaissance des services, du fait d'une éducation financière insuffisante;
• la faible digitalisation des circuits de paiement des Administrations publiques;
• l'insuffisance des partenariats entre les émetteurs bancaires et non-bancaires pour le développement d'une offre de services plus inclusifs, dits de « seconde génération »

En collaboration avec toutes les parties prenantes, la Banque Centrale a développé une stratégie d’inclusion financière visant à améliorer l’accès et l’utilisation de divers services financiers personnalisés et aux prix abordables. La mise en place de ces actions, comme décrite dans la stratégie d’inclusion financière conçue par la BCEAO, devrait résoudre les défis mentionnés ci-dessus.

Lire en anglais »

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[1] EME: toute personne morale, autre que les banques, les établissements financiers de paiement, les systèmes financiers décentralisés, habilitée à émettre des moyens de paiement sous forme de monnaie électronique et dont les activités se limitent à l'émission et la distribution de monnaie électronique.

       

Electronic money, or e-money, emerged in the countries of the West African Economic and Monetary Union (WAEMU) following the adoption, in 2006, of a Central Bank Instruction establishing a flexible regulatory framework aimed at encouraging e-money business. The activity expanded in 2009 with the involvement of telecommunications operators in the provision of mobile telephone-based financial services, which increased the number of users and the volume of transactions.

A growing business

At the end of September 2015, 22 million people, or nearly a quarter of the people in the union, subscribed to financial services via mobile phone. Approximately 30 percent of those subscribers carried out at least one transaction per 90-day period.

Some 500 million transactions took place over the first nine months of 2015. The cumulative value of the transactions was 5 trillion CFA francs ($8.5 billion) by the end of September 2015, a growth of 142 percent from September 2014. Between September 2013 and September 2014, this value grew from CFA 1 trillion to CFA 2.068 trillion, an increase of 107 percent.

The mobile phone financial services distribution network followed a similar upward trend, rising from 93,621 points of services in 2014 to more than 132,658 at the end of September 2015.

Figure 1. Trends in the value of transactions

The socioeconomic environment in the union goes a long way to explaining the success of mobile telephone payment services. Indeed, this method of providing money transfer or payment services is particularly well suited to people who lack access to the mainstream banking system, and also affords non-bank institutions the opportunity to offer users non-cash money against cash deposits, which can then be used for a variety of financial transactions.

The growing involvement of telecommunications operators

The market is increasingly dominated by partnerships between banks and telecommunications operators, which represented 25 of the 33 licensed or authorized e-money issuers at the end of December 2015. In the framework of this model, known as the bank model, the bank has responsibility for issuing the e-money.

The other seven non-bank institutions, under the non-bank model, are authorized to issue electronic money as “Electronic Money Institutions” (EMIs) [1].

In WAEMU, e-money issuers are supported by a regulatory framework that was revised in 2015 to ensure increased security and quality of payment services backed by electronic money.

Figure 2. E-money issuers in WAEMU

Note: DFS denotes microfinance institutions.

A revised regulatory framework

With the expansion of mobile phone financial services and the growing involvement of telecommunications operators, the Central Bank has revised its regulatory framework with the aim of enhancing the security and quality of payment services backed by electronic money. The most salient improvements must focus on:

• Increasing issuer accountability by clarifying users’ roles in partnerships with technical service providers. With this goal in mind, the activities of technical service providers have been restricted to technical processing or the distribution of e-money under the responsibility of the issuer. In addition, issuers are responsible for the integrity, reliability, security, confidentiality, and traceability of all transactions carried out by all of their distributors; Stimulating competition through transparent pricing with an obligation for issuers to publish their rates;


• Specific requirements in terms of governance and internal and external audits for electronic money institutions, standards of integrity on the part of the management, professional secrecy and regular infrastructure audits;


• Increased protection for bearers of electronic money, including keeping funds in dedicated accounts, requiring a constant equivalence between the amount of e-money and the balances in the dedicated accounts, and mandatory creation of a mechanism to take in and deal with complaints by bearers of electronic money;


• Reinforcement of the supervisory mechanism by reducing deadlines for reporting on issuers’ activities to the Central Bank and adopting sanctions for violations of regulatory provisions.

Provision of mobile-phone-based financial services

Mobile-phone-based financial services provided in WAEMU include three categories of services, namely services involving the use of cash (banknotes and coins), e-money services, and so-called “second generation” services.

The first type of service essentially involves deposits of cash or refilling of electronic wallets, as well as withdrawals. This type of service represents 24 percent of user transactions. Cash deposits predominate; they allow customers to provision their electronic money accounts.

Seventy-six percent of the funds deposited into e-money accounts are used, above all, for purchases of telephone credit, payment of bills, person-to-person money transfers, and money transfers from individuals to businesses and from individuals to government agencies. The main payment services found in WAEMU pertain to payment of water or electricity bills, payment of satellite television subscriptions, and purchases of goods in supermarkets or fuel at service stations.

Payments of taxes or income taxes to government agencies and payments of micro-loan installments are also made through mobile phone financial services, but are much less common.

So-called “second generation” services, namely micro-insurance, micro-savings, and micro-credit, are currently emerging in WAEMU. Their development could be an opportunity to provide access to the banking system for the users of the services.

Finally, interoperability is just beginning to be implemented based on bilateral agreements between stakeholders, particularly with a view to offering cross-border payment services between member states of the union.

Challenges

A review of the development of mobile phone financial services in WAEMU reveals some obstacles to the rapid development of this type of financial service within WAEMU. They include:

• a low number of active users, due to the high cost of the services;
• the fact that the services are not well known due to inadequate financial education;
• the low rate of digitization of government agencies’ payment systems; and
• insufficient partnerships between bank and non-bank issuers with a view to developing a more inclusive range of “second-generation” services.

In collaboration with all stakeholders, the Central Bank has developed a financial inclusion strategy to continuously improve, access to and use of diverse, tailored and affordable financial services. The implementation of these actions as described in the Central Bank of West African States (BCEAO) financial inclusion strategy should support the challenges mentioned above.

Read in French »

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[1] EMI: any legal entity, other than a bank, financial payment institution, or decentralized financial system, that is authorized to issue payment instruments in the form of electronic money and whose business activities are restricted to electronic money issuing and distribution.