This paper uses a multinomial endogenous treatment effects model and data from a sample of over 800 households and 3,000 plots to assess the determinants and impacts of adoption of sustainable agricultural practices (SAPs) on maize yields and household incomes in rural Zambia. Results show that adoption decisions are driven by household and plot level characteristics and that the adoption of a combination of SAPs raises both maize yields and incomes of smallholder farmers. Adoption of improved maize alone has greater impacts on maize yields, but given the high cost of inorganic fertiliser that limits the profitability of adoption of improved maize, greater household incomes are associated rather with a package involving SAPs such as maize-legume rotation and residue retention.

This paper examines volatility transmission in oil, ethanol and corn prices in the United States between 1997 and 2011. We follow a multivariate GARCH approach to evaluate the level of interdependence and the dynamics of volatility across these markets. The estimation results indicate a higher interaction between ethanol and corn markets in recent years, particularly after 2006 when ethanol became the sole alternative oxygenate for gasoline. We only observe, however, significant volatility spillovers from corn to ethanol prices but not the converse. We also do not find major cross-volatility effects from oil to corn markets. The results do not provide evidence of volatility in energy markets stimulating price volatility in grain markets.

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The way economic studies conceptualize and measure resilience is very heterogeneous. This does not only challenge scientific progress, but also raises the question of whether they measure one identical concept with different methods or whether they measure different understandings of resilience. This paper provides a review of concepts, methodological approaches and empirical evidence on resilience from a food security perspective, focusing on socioeconomic research. We perform a systematic literature search to identify recent publications that analyze resilience from the perspective of household food security. We examine the historical evolution of concepts and methods used for measuring resilience and synthesize the evidence. We find that conceptual and analytical models have evolved over time, with important technical adjustments. Studies initially focused on measuring resilience as an end in itself, but more recently resilience is understood as a means to an ultimate end, hence resilience capacity is measured instead. Also, resilience was initially measured as an indicator of food security. Currently it is measured distinctly from food security. Multivariate techniques are found to be frequently used to quantify resilience. The empirical evidence suggests that households with higher resilience capacity tend to have less child malnutrition and better food security. We find that causal pathways through which resilience capacity affects food security in a microeconomic framework are barely explicitly considered in empirical analyses. Therefore, we suggest a model which explicitly addresses these pathways.

This article focuses on adoption and modification decisions on improved maize storage technologies in southern Benin. Modification implies changing a technology to adapt to farmers' circumstances. A sample selection framework is used to account for selectivity bias as some farmers were not aware of the new technologies. Using this framework, the study investigates the effect of alternative information sources on adoption and modification decisions. Farmers are either informed by extension agents or by other farmers. The empirical results show that there are differences in adoption and modification decisions between these two groups.JEL classification: C35, O33