Jean-Paul Chavas, Giorgia Rivieccio, Salvatore Di Falco, Giovanni De Luca, Fabian Capitanio
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引用次数: 16
Abstract
This article presents an investigation of agricultural production risk over time and across space and its implications for food security. The econometric approach involves a Quantile Autoregressive (QAR) model and a copula to provide a flexible representation of the distribution of yield risk and its evolution over time and across space. The analysis relies on a two-step estimation method to evaluate the multivariate yield distribution and its spatial and temporal evolution. Linkages between agricultural production risk and the economics of food security are explored, with implications for the welfare cost of food insecurity. The approach is illustrated in an econometric application to regional wheat and corn yields in Italy. The analysis provides new and useful information on the evolving linkages between agricultural production risk, productivity, and food security. Our integrated approach documents the role of regional diversification and of productivity growth along with their effects on food security.
期刊介绍:
Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.