Most micro-level studies on the impact of agricultural technologies build on cross-section data, which can lead to unreliable impact estimates. Here, we use panel data covering two time periods to estimate the impact of tissue culture (TC) banana technology in the Kenyan small farm sector. TC banana is an interesting case, because previous impact studies showed mixed results. We combine propensity score matching with a difference-in-difference estimator to control for selection bias and account for temporal impact variability.
Classical innovation adoption models implicitly assume homogenous information flow across farmers, which is often not realistic. As a result, selection bias in adoption parameters may occur. We focus on tissue culture (TC) banana technology that was introduced in Kenya more than 10 years ago. Up till now, adoption rates have remained relatively low.
Labor saving innovations are essential to increase agricultural productivity, but they might also increase inequality through displacing labor. Empirical evidence on such labor displacements is limited. This study uses representative data at local and national scales to analyze labor market effects of the expansion of oil palm among smallholder farmers in Indonesia. Oil palm is labor-saving in the sense that it requires much less labor per unit of land than alternative crops.
Mobile phone based money services have spread rapidly in many developing countries. We analyze micro level impacts using panel data from smallholder farmers in Kenya. Mobile money use has a large positive net impact on household income. One important pathway is through remittances, which contribute to income directly but also help to reduce risk and liquidity constraints, thus promoting agricultural commercialization. Mobile money users apply more purchased inputs, market a larger proportion of their output, and have higher farm profits.
Food systems in developing countries are transforming, involving a rapid expansion of supermarkets. This supermarket revolution may affect dietary patterns and nutrition, but empirical evidence is scarce. The few existing studies have analyzed implications for food consumers and producers separately. We discuss a more integrated framework that helps to gain a broader understanding. Reviewing recent evidence from Kenya, we show that buying food in supermarkets instead of traditional outlets contributes to overnutrition among adults, while reducing undernutrition among children.
This paper considers genetically modified (GM) seed adoption decisions by farmers in a developing country under two alternative information regimes (with and without perfect information regarding production conditions) that allows the monopolist producer of GM seeds to either practice perfect discrimination or uniform pricing. Under each regime we analyze two scenarios: when the government can and cannot credibly commit to the announced form of welfare enhancing intervention in the domestic seed market.
How we eat has a major impact on our individual health status, our quality of life and our well-being. Many of the foods we eat have a major social, environmental, climate and animal welfare footprint. This expertise defines policies to promote sustainability in food consumption as policies that integrate all four target dimensions: human health, social aspects, the natural environment (including climate) and animal welfare. Achieving greater sustainability in food consumption poses great challenges.
Since the early 1990s, liberalization of the seed market in Tanzania has attracted several foreign companies that now market maize hybrids in the country. In this article, we analyze the impacts of proprietary hybrids on maize yields, production, and household living standards. We build on a recent survey of smallholder maize farmers in two zones of Tanzania. Hybrid adoption rates are 48% and 13% in the North and East, respectively. Average net yield gains of hybrids are 50-60%, and there are also significant profit effects.
In Sub-Sahara Africa, adoption rates of improved crop varieties remain relatively low, which is partly due to farmers’ limited access to information. In smallholder settings, information often spreads through informal networks. Better understanding of such networks could potentially help to spur innovation and farmers’ exposure to new technologies. This study uses survey data from Tanzania to analyze social networks and their role for the spread of information about improved varieties of maize and sorghum.