Economics at your fingertips  

A food demand framework for International Food Security Assessment

John Beghin (), Birgit Meade and Stacey Rosen

Journal of Policy Modeling, 2017, vol. 39, issue 5, 827-842

Abstract: We present a parsimonious demand modeling approach developed for the annual USDA-ERS International Food Security Assessment, a large-scale prospective assessment focusing on chronic food insecurity in 76 countries. The approach incorporates price effects, food quality variation across income deciles, and consistent aggregation over income deciles and food qualities. The approach is based on a simple demand approach for four food categories. It relies on data on food availability, complemented by own-price and income elasticities and food price data. Beyond consistent aggregation, the framework exhibits desirable characteristics: food quality is increasing with income; price and income responses become less sensitive with income; and increasing income inequality decreases average per capita food consumption. The proposed approach is illustrated for Tanzania. We assess future food insecurity in Tanzania using the calibrated model and evaluate the impact of safety net policies and their budgetary costs. Food-insecure population is estimated as well as the implied food gap expressed in calorie per day per food-insecure person as well as in total annual food volume in grain equivalent. The food gap measure gauges the depth of the chronic food insecurity.

Keywords: International food security; PIGLOG demand; Income inequality; Food gap; Food policy (search for similar items in EconPapers)
JEL-codes: F17 Q17 D31 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Journal of Policy Modeling is currently edited by A. M. Costa

More articles in Journal of Policy Modeling from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().

Page updated 2019-10-16
Handle: RePEc:eee:jpolmo:v:39:y:2017:i:5:p:827-842