1,900
Views
83
CrossRef citations to date
0
Altmetric
Original Articles

Agricultural Production, Dietary Diversity and Climate Variability

, &
 

Abstract

Nonseparable household modelsoutline the interlinkage between agricultural production and household consumption, yet empirical extensions to investigate the effect of production on dietary diversity and diet composition are limited. While a significant literature has investigated the calorie-income elasticity abstracting from production, this paper provides an empirical application of the nonseparable household model linking the effect of exogenous variation in planting season production decisions via climate variability on household dietary diversity. Using degree days, rainfall and agricultural capital stocks as instruments, the effect of production on household dietary diversity at harvest is estimated. The empirical specifications estimate production effects on dietary diversity using both agricultural revenue and crop production diversity. Significant effects of both agricultural revenue and crop production diversity on dietary diversity are estimated. The dietary diversity-production elasticities imply that a 10 per cent increase in agricultural revenue or crop diversity result in a 1.8 per cent or 2.4 per cent increase in dietary diversity respectively. These results illustrate that agricultural income growth or increased crop diversity may not be sufficient to ensure improved dietary diversity. Increases in agricultural revenue do change diet composition. Estimates of the effect of agricultural income on share of calories by food groups indicate relatively large changes in diet composition. On average, a 10 per cent increase in agricultural revenue makes households 7.2 per cent more likely to consume vegetables, 3.5 per cent more likely to consume fish, and increases the share of tubers consumed by 5.2 per cent.

Acknowledgements

We appreciate the helpful comments of Gero Carletto, Alan de Brauw, John Maluccio, Paul Winters, an anonymous referee, and the participants of the Farm Household Production and Nutrition conference at the World Bank. The management of the Nigeria LSMS-ISA data collection process in Nigeria benefited from the collaboration of Gero Carletto, Kinnon Scott, the Nigerian Bureau of Statistics staff, and Colin Williams. Siobhan Murray provided invaluable support to organise the GIS and climate data. The data and dofiles for this paper are available upon request to the authors. All errors are our own.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Reprints and Permissions

Please note: We are unable to provide a copy of the article, please see our help page How do I view content?

To request a reprint or commercial or derivative permissions for this article, please click on the relevant link below.

Permission can also be obtained via Rightslink. For more information please visit our Permissions help page.