Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10225915 | European Journal of Operational Research | 2019 | 35 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Po-Chi Chen, Ming-Miin Yu, Jou-Chen Shih, Ching-Cheng Chang, Shih-Hsun Hsu,