Resources Integration Theory and Gray Correlation Analysis: A Study for Evaluating China's Agri-food Systems Supply Capacity
School of Business, Lingnan Normal University, Zhanjiang 524048, China
Ping Wang
School of Sport Science, Lingnan Normal University, Zhanjiang, Guangdong, 524048, China.
School of Business, Lingnan Normal University, Zhanjiang, Guangdong, 524048, China.
DOI: https://doi.org/10.36956/rwae.v4i3.902
Received: 18 July 2023; Published: 6 September 2023
Copyright © 2023 Shaowen Yang, Ping Wang, Zhaogang Fu. Published by Nan Yang Academy of Sciences Pte. Ltd..
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Abstract
China's agri-food systems face the challenge of ensuring food and grain security for a large population with limited resources. This paper constructs a resources integration theory, which classifies agricultural resources into six types and measures their correlation with food and grain supply capacity using grey correlation analysis. The results show that, during 2002-2020, among the factor resources, the highest correlation with food and grain was technology; among the related industry resources, the highest correlation with food was rural roads, and with grain was agricultural machinery; among the demand resources, the highest correlation was domestic market; among the six types of resources, the highest correlation was government resources; and the static correlation evaluation indices of agricultural resources with food and grain supply capacity were 0.8312 and 0.8090, respectively, indicating a compare match. Based on the results, this paper argues that the Chinese agri-food system is matched with agricultural resources, but still needs to be improved to achieve a high match. Opportunity resources, foreign investment, and international markets are disadvantageous resources because China has insufficient ability to stably utilize foreign resources. China’s proposal of a "big food view" is conducive to reducing dependence on factor resources, especially cultivated land and water resources.
Keywords: Agri-food systems, Supply capacity, Resources integration, Gray correlation, Matching degree
