A reassessment of the Global Food Security Index by using a hierarchical data envelopment analysis approach
Journal
European Journal of Operational Research
Journal Volume
272
Journal Issue
2
Pages
687-698
Date Issued
2019
Author(s)
Abstract
This study proposes a hierarchical data envelopment analysis (H-DEA) approach to construct a multi-dimensional indicator, and applies it to reassess the 2014 Global Food Security Index created by the Economist Intelligence Unit (EIU) across 110 countries. Instead of using expert opinions to assign weights, the proposed model endogenises the weights, and thus avoids the problems of subjective weighting for international comparisons. The results show that although the ranking is not significantly different from that of the EIU, the optimal scores and weights differ by income levels. Additionally, this work articulates the value of a well-founded performance evaluation method by leveraging experts’ opinions and data-driven techniques through constructing a best-practice frontier with observation-specific weights. It is suggested that food availability should be the top policy priority in low- to medium-income and Sub-Saharan African countries where food deficits are most prevalent. The findings can serve as guidance to improve the design of the ongoing efforts for global food security. © 2018 Elsevier B.V.
Subjects
Data envelopment analysis; Food security; Food security index; Hierarchical DEA
Other Subjects
Data envelopment analysis; Petroleum reservoir evaluation; Data driven technique; Food availability; Food security; Global food security; Hierarchical DEA; International comparison; Performance evaluations; Subjective weighting; Food supply
Type
journal article