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Measuring the Digitization Level of China’s Grain Industry Chain and Its Spatial–Temporal Evolution

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  • Qingqing Huang

    (Institute of Food and Strategic Reserves, Nanjing University of Finance and Economics, Nanjing 210003, China
    College of Business, Yancheng Teachers University, Yancheng 224002, China)

  • Wenjing Guo

    (School of Finance, Nanjing University of Finance and Economics, Nanjing 210003, China)

  • Yanchi Chen

    (Institute of Food and Strategic Reserves, Nanjing University of Finance and Economics, Nanjing 210003, China)

Abstract

Digital transformation is conducive to food security. This paper constructed an index system of the digitization level of the grain industry chain based on the panel data of 30 provinces in China from 2011 to 2022. It adopted the entropy method to measure it and analyzed the law of its spatial–temporal evolution. It was found that the digitization level of China’s grain industry chain has shown a year-on-year growth trend, and, at the same time, there are spatial spillover effects and spatial heterogeneity. Analyzed by Theil’s index, there were evident differences among the four major regions and three major grain functional areas in China, and the differences mainly originated from within the region, and there was a phenomenon of “digital divide”. The digitalization level of China’s grain industry chain has shown a decreasing trend of “East-Middle-West”. In conclusion, this paper proposes practical countermeasures to facilitate the digitization level of the grain industry chain in China, thereby providing developing countries with a reference value for the digital transformation of the grain industry chain. Therefore, we should promote the construction of digital infrastructure, increase the cultivation of digital talents, coordinate regional development, and accelerate the digital transformation of the grain industry chain.

Suggested Citation

  • Qingqing Huang & Wenjing Guo & Yanchi Chen, 2024. "Measuring the Digitization Level of China’s Grain Industry Chain and Its Spatial–Temporal Evolution," Agriculture, MDPI, vol. 14(8), pages 1-20, August.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:8:p:1371-:d:1457283
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    References listed on IDEAS

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    1. Krishna Malakar & Trupti Mishra & Anand Patwardhan, 2018. "Inequality in water supply in India: an assessment using the Gini and Theil indices," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(2), pages 841-864, April.
    2. Yang Liu & Yanlin Yang & Huihui Li & Kaiyang Zhong, 2022. "Digital Economy Development, Industrial Structure Upgrading and Green Total Factor Productivity: Empirical Evidence from China’s Cities," IJERPH, MDPI, vol. 19(4), pages 1-23, February.
    3. Nebojša Zorić & Radenko Marić & Tijana Đurković-Marić & Goran Vukmirović, 2023. "The Importance of Digitalization for the Sustainability of the Food Supply Chain," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
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