Version 1
: Received: 21 June 2024 / Approved: 22 June 2024 / Online: 24 June 2024 (11:32:59 CEST)
How to cite:
Ma, S. L.; Wang, P. P. Study on the Measurement of the the Grain Industry Chain Resilience and its Influencing Factors: A Case from China. Preprints2024, 2024061601. https://doi.org/10.20944/preprints202406.1601.v1
Ma, S. L.; Wang, P. P. Study on the Measurement of the the Grain Industry Chain Resilience and its Influencing Factors: A Case from China. Preprints 2024, 2024061601. https://doi.org/10.20944/preprints202406.1601.v1
Ma, S. L.; Wang, P. P. Study on the Measurement of the the Grain Industry Chain Resilience and its Influencing Factors: A Case from China. Preprints2024, 2024061601. https://doi.org/10.20944/preprints202406.1601.v1
APA Style
Ma, S. L., & Wang, P. P. (2024). Study on the Measurement of the the Grain Industry Chain Resilience and its Influencing Factors: A Case from China. Preprints. https://doi.org/10.20944/preprints202406.1601.v1
Chicago/Turabian Style
Ma, S. L. and Ping ping Wang. 2024 "Study on the Measurement of the the Grain Industry Chain Resilience and its Influencing Factors: A Case from China" Preprints. https://doi.org/10.20944/preprints202406.1601.v1
Abstract
Food security is the cornerstone of national security, and exploring the resilience of the grain industry chain is particularly important under the current complex and changing external environment. The study is to evaluate the grain industry chain resilience and identify its influencing factors. Based on the panel data of 30 provinces (cities) in China from 2011 to 2022, this paper adopted Partial Least Squares structural equation modeling method to carry out comprehensive evaluation, applied Dagum Gini coefficient to analyze spatial differences, and used geo-detectors to identify the influencing factors. The results showed that (1) from an overall perspective, the resilience of China's grain industry chain showed an overall upward trend, and each region had been greatly improved; (2) from the perspective of spatial differences, the overall spatial variability of China's grain industry chain is relatively small, and the gap mainly originates from inter-regional differences; (3) from the perspective of influencing factors, the level of grain foreign trade, regional market size and agricultural innovation level were important factors. In order to enhance the resilience of China's grain industry chain, based on the heterogeneous characteristics, the coordinated development of each region should be integrated, and the endogenous power should be given full play to enhance the resilience of the industry chain.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
