A Systematic Review of The Use of Inter-Country Input-Output (ICIO) Table in Agri-Food Global Value Chain Analysis

Authors

  • Herry Nugraha Institut Pertanian Bogor, Indonesia
  • Rita Nurmalina Institut Pertanian Bogor, Indonesia
  • Noer Azam Achsani Institut Pertanian Bogor, Indonesia
  • Arif Imam Suroso Institut Pertanian Bogor, Indonesia
  • Suprehatin Suprehatin Institut Pertanian Bogor, Indonesia

DOI:

https://doi.org/10.59613/global.v2i8.251

Keywords:

Agrifood, GVC, ICIO Table, Systematic Literature Review

Abstract

The Inter-Country Input-Output (ICIO) table serves as the primary tool and database for Global Value Chain (GVC) analysis. It enables the description and analysis of the connection between production and consumption activities in international trade, while also providing comprehensive information for economic and environmental analysis. A more in-depth systematic literature review examining the use of ICIO tables in GVC analysis on agriculture and foods sector has never been conducted. Hence, the objective of this study is to do a comprehensive examination of existing literature to get insights into the progress of research on GVC analysis utilizing the Input-Output (ICIO) table throughout the past decade. We performed a comprehensive examination of existing literature to consolidate the research themes related to the utilization of ICIO tables in GVC analysis and to comprehend how they are applied to satisfy the research goals. The research findings indicate that the ICIO table is extensively employed in GVC analysis for cross-border international commerce, sector and industry analysis, as well as GVC impact and modelling. WIOD is the most-used database in GVC analysis as it has the most industries, followed by EROA as database that covers the most countries.

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Published

2024-07-16

How to Cite

Nugraha, H., Nurmalina, R., Achsani, N. A., Suroso, A. I., & Suprehatin, S. (2024). A Systematic Review of The Use of Inter-Country Input-Output (ICIO) Table in Agri-Food Global Value Chain Analysis. Global International Journal of Innovative Research, 2(8), 1631–1652. https://doi.org/10.59613/global.v2i8.251