Evaluation of OECD countries' agricultural trade performance: proposal of a dynamic model

Official URL: https://dergipark.org.tr/tr/pub/endustrimuhendisligi/issue/94226/1674970

Throughout history, the agricultural sector has played an important role in the economies of both developed and developing countries and has contributed to employment, GDP, international commerce, and, most importantly, rural development. Within the scope of the study, the performance of the OECD nations on agricultural product trade is analyzed using the proposed dynamic model. Categorical Data Envelopment Analysis (DEA)-Malmquist Total Factor Productivity Index (TFPI) approaches are employed to examine in detail the changes that occurred in the OECD members' agricultural trade performance in efficiency, technology, and total factor productivity over time.Additionally, Dynamic Social Network Analysis is conducted to reveal the eigenvector centrality of the countries investigated in the same period for both import and export-related trade to reveal which countries have the highest trade connection with the highest trade volume to which countries. Finally, regression analysis takes those eigenvector centrality measures as dependent variables. The Categorical-DEA values, as well as maximum reservoir of water, reservoir minimum water area (% of total land area), Logistics Performance Index, and Red List Index, are used as independent variables in order to reveal the primary reasons behind these eigenvector centrality values and the actions that should be taken to improve them are specified.