Selection and Comparative Advantage in Technology Adoption

This paper examines a well known empirical puzzle in the literature on technology adoption: despite the potential of technologies to increase returns dramatically, a significant fraction of households do not use these technologies. I study the use of hybrid maize and fertilizer in Kenya, where there are persistent cross-sectional differences in aggregate adoption rates with a large fraction of households switching in and out of adoption. By allowing for selection of farmers into technology use via comparative advantage differences, I examine whether the yield returns to adopting hybrid maize vary across farmers. If so, high average returns can coexist with low returns for the marginal farmer. My findings indicate the existence of two interesting subgroups in the population. A small group of farmers has potentially high returns from adopting the technologies. Yet, they do not adopt. This lack of adoption appears to stem from supply and infrastructure constraints, such as the distance to fertilizer distributors. In addition, a larger group of farmers faces very low returns to adopting hybrid maize, but chooses to adopt. This latter group might benefit substantially from the development of newer hybrid strains to increase yields. On the whole, the stagnation in hybrid adoption does not appear to be due to constraints or irrationalities.Technology, Heterogeneity, Comparative Advantage

Selection and Comparative Advantage in Technology Adoption

This paper investigates an empirical puzzle in technology adoption for developing countries: the low adoption rates of technologies like hybrid maize that increase average farm profits dramatically. I offer a simple explanation for this: benefits and costs of technologies are heterogeneous, so that farmers with low net returns do not adopt the technology. I examine this hypothesis by estimating a correlated random coefficient model of yields and the corresponding distribution of returns to hybrid maize. This distribution indicates that the group of farmers with the highest estimated gross returns does not use hybrid, but their returns are correlated with high costs of acquiring the technology (due to poor infrastructure). Another group of farmers has lower returns and adopts, while the marginal farmers have zero returns and switch in and out of use over the sample period. Overall, adoption decisions appear to be rational and well explained by (observed and unobserved) variation in heterogeneous net benefits to the technology.

Selection and Comparative Advantage in Technology Adoption

This paper examines a well known empirical puzzle in the literature on technology adoption: despite the potential of technologies to increase returns dramatically, a significant fraction of households do not use these technologies. I study the use of hybrid maize and fertilizer in Kenya, where there are persistent cross-sectional differences in aggregate adoption rates with a large fraction of households switching in and out of adoption. By allowing for selection of farmers into technology use via comparative advantage differences, I examine whether the yield returns to adopting hybrid maize vary across farmers. If so, high average returns can coexist with low returns for the marginal farmer. My findings indicate the existence of two interesting subgroups in the population. A small group of farmers has potentially high returns from adopting the technologies. Yet, they do not adopt. This lack of adoption appears to stem from supply and infrastructure constraints, such as the distance to fertilizer distributors. In addition, a larger group of farmers faces very low returns to adopting hybrid maize, but chooses to adopt. This latter group might benefit substantially from the development of newer hybrid strains to increase yields. On the whole, the stagnation in hybrid adoption does not appear to be due to constraints or irrationalities

Monetary theory and electronic money : reflections on the Kenyan experience

This article uses a class of models of money and the payments system to inform an analysis of "mobile banking" in the context of the rapid expansion of M-PESA, a new technology in Kenya that allows payments via mobile phones (even without any access to a bank account), and currently reaches close to 38 percent of Kenyan adults. The separation of households and firms in space and time suggests, in theory, from various separate models, a number of implications. These include (i) the potential gain, under some circumstances, from allowing net e-money credit creation, (ii) the impact that the associated enhancement of credit markets can have on monetary policy and on the real economy, (iii) the roles that e-money could play not only in credit but also in insurance, unrelated to its payment function, (iv) the potential role for an activist monetary policy and e-money management, (v) the role of e-money as a circulating private debt and as a store of value though with potential coordination problems associated with achieving balanced security transformation, (vi) the potential welfare losses from insisting on continuous net clearing of cash and e-money and the difficulty, in any event, of achieving this in practice, and (vii) the management of shortages in the context of fixed rates of exchange of e-money for cash. We provide some summary statistics from data collected on M-PESA agents and users that are reminiscent of the environments of the models and that support some of these implications. Other implications of the models suggest reforms to enhance the system's efficiency.Monetary policy ; Inflation (Finance) ; Financial institutions ; Payment systems

Mobile Money: The Economics of M-PESA

Mobile money is a tool that allows individuals to make financial transactions using cell phone technology. In this paper, we report initial results of two rounds of a large survey of households in Kenya, the country that has seen perhaps the most rapid and widespread growth of a mobile money product – known locally as M‐PESA – in the developing world. We first summarize the mechanics of M-PESA, and review its potential economic impacts. We then document the sequencing of adoption across households according to income and wealth, location, gender, and other socio‐economic characteristics, as well as the purposes for which the technology is used, including saving, sending and receiving remittances, and direct purchases of goods and services. In addition, we report findings from a survey of M‐PESA agents, who provide cash‐in and cash‐out services, and highlight the inventory management problems they face.

Credit Access, Selection, and Incentives in a Market for Asset Collateralized Loans: Evidence from Kenya

We study the potential for asset collateralization to expand access to credit in rural Kenya. Increasing the share of a loan for a durable agricultural asset that is collateralized by the physical asset itself (from 0 to 96%) while reducing the share backed by financial assets increases loan take-up considerably, with only a very limited impact on repayment behavior and the lender's profitability. A Karlan-Zinman test finds evidence of small and marginally significant selection effects in some specifications but no evidence of moral hazard. We find no evidence that joint versus individual liability affects take-up or repayment. Loans had real impacts on investment, milk sales, and girls' school enrollment. The lender, a savings and credit cooperative, responded to the study results by offering 80% asset-collateralized loans

Mobile money

The surge in access to mobile phones throughout the developing world has brought with it a wide range of benefits. One of the most noteworthy breakthroughs has been mobile money, enabling users to deposit, transfer, and withdraw funds from a digital account without owning a bank account Mobile money provides a dramatic reduction in transaction costs, as well as improvements in convenience, security, and time taken for the transaction. There is a growing literature that documents the benefits of mobile money, including improvements in the ability to smooth consumption better in the face of health and economic shocks, improving women’s empowerment, and reducing poverty. More recently, there has been a growth in digital financial services that use mobile money as the rails to deliver other products (largely credit). However, such innovations are few and far between with more research needed on their deployment and impact.otherpublishe