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.

Despite the rapid international development of biotechnology, we still lack knowledge and information about how low- and middle-income countries can best access this promising technology. Nor are the socioeconomic repercussions of applying biotechnology in these countries’ agricultural sectors well understood. This study seeks to fill in some of the gaps in our knowledge by analyzing a biotechnology transfer project that provided proprietary recombinant potato technology to Mexico.

Supermarkets and high-value exports are currently gaining ground in the agri-food systems of many developing countries. While recent research has analyzed income effects in the small farm sector, impacts on farming efficiency have hardly been studied. Using a survey of Kenyan vegetable growers and a stochastic frontier approach, we show that participation in supermarket channels increases mean technical efficiency by 19%. This gain is bigger at lower levels of efficiency, suggesting the potential for positive income distribution effects.

This paper shows that the current generation of transgenic crop varieties has significant potential to improve economic welfare in low-income countries. These varieties might increase crop yields in low-income countries in cases when pesticides have not been used. They will reduce negative health effects of chemicals when they replace them. With low transaction costs, appropriate infrastructure, and access to intellectual property, multiple varieties of transgenics will be introduced.

It is often assumed that voluntary sustainability standards – such as Fairtrade – could not only improve the socioeconomic wellbeing of smallholder farmers in developing countries but could also help to reduce negative health and environmental impacts of agricultural production. The empirical evidence is thin, as most previous studies on the impact of sustainability standards only focused on economic indicators, such as prices, yields, and incomes.

Despite substantial research on the economic effects of transgenic insect-resistant Bacillus thuringiensis (Bt) cotton, there is still limited work on this technology’s impacts on human health. Due to the inbuilt insect resistance, Bt cotton requires fewer pesticide sprays than conventional cotton, which is not only advantageous from economic and environmental perspectives, but may also result in health benefits for farmers.

National governments, especially in sub-Saharan Africa, have limited budgets and are forced to make difficult funding decisions regarding the provision of social services and the support of agricultural programs. These provisions can play a critical role in rural incomes and agricultural production but due to data constraints, the effects of different types of social services on agricultural productivity in this region have not been analyzed in detail.

It is now widely acknowledged that biotechnology will have significant implications for development. While biotechnology’s potential for low income economies is still the subject of controversy, this paper argues that it is precisely in these countries that food and agriculture related biotechnology could efficiently contribute to the achievement of development objectives. To date, however, biotechnological advances have been realized predominantly in industrialized countries.

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.

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.