Agricultural diversification, productivity, and food security across time and space

被引：28

作者：

Chavas, Jean-Paul ^{[1
]}

Rivieccio, Giorgia ^{[2
]}

Di Falco, Salvatore ^{[3
]}

De Luca, Giovanni ^{[2
]}

Capitanio, Fabian ^{[4
]}

机构：

[1] Univ Wisconsin, Taylor Hall, Madison, WI USA

[2] Parthenope Univ Naples, Naples, Italy

[3] Univ Geneva, Geneva, Switzerland

[4] Univ Naples Federico II, Vet Med & Anim Prod Dept, Via Delpino 1, Naples, Italy

来源：

AGRICULTURAL ECONOMICS | 2022年 / 53卷

关键词：

crop yield; food security; Italy; quantile autoregression; risk; RISK; INFERENCE; DIVERSITY; WHEAT;

D O I：

10.1111/agec.12742

中图分类号：

F3 [农业经济];

学科分类号：

0202 ; 020205 ; 1203 ;

摘要：

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.

引用

页码：41 / 58

页数：18

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