Comparative Analysis of Sustainable Food Governance and the Alignment of Food Security Policies to Sustainable Development: A Case Study of OIC Countries

Abstract

Employing Grey Relation Analysis (GRA) and Leximetrics, this study conducts a comparative analysis of sustainable food governance performance in the Organization of Islamic Cooperation countries (OIC). It assesses the alignment of their food security policies with sustainable development principles. Addressing a gap in the existing literature, the study aims to assess two separate components of food security governance, i.e., policy formulation and policy implementation. This is achieved by focusing on critical intrinsic factors like sustainable agriculture, sufficiency, resilience, and inclusivity, and sustainable finance which are often overlooked in policy formulation and evaluation. The findings reveal inadequate incorporation of sustainable finance, sustainable agriculture, circular food systems, and effective governance principles. Several countries lack concise policies (e.g., Iran, Turkmenistan, Suriname), relying on fragmented approaches, while others adopt regional food security strategies with observed differences in food governance versus policy alignment performance. The study enhances our understanding of food security governance and policy formulation and implementation, offering insights for advancing sustainability in the food security policies of the OIC.

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“…Bingchun Liu [10] proposes a multi-factor prediction model integrating GRA, discrete wavelet transform (DWT), and bidirectional long short-term memory, studies the incentive effect of policies on the electric vehicle market under different regional characteristics. Dalal Aassouli [11] et al used grey correlation analysis to make a comparative analysis of policy formulation and implementation of food security governance. Peng Li [12] et al established a probabilistic linguistic information consensus judgment mechanism based on grey correlation analysis to calculate the absolute grey correlation degree between the most likely optimal vector of individual decision makers and collective opinions.…”