IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i8p1371-d1457283.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/8/1371/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/14/8/1371/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lingzhang Kong & Jinye Li, 2022. "Digital Economy Development and Green Economic Efficiency: Evidence from Province-Level Empirical Data in China," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    2. Yi Ge & Guangfei Yang & Yi Chen & Wen Dou, 2019. "Examining Social Vulnerability and Inequality: A Joint Analysis through a Connectivity Lens in the Urban Agglomerations of China," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    3. Shunbin Zhong & Huafu Shen & Ziheng Niu & Yang Yu & Lin Pan & Yaojun Fan & Atif Jahanger, 2022. "Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    4. Sapan Tiwari & Neema Nassir & Patricia Sauri Lavieri, 2024. "Smart Insertion Strategies for Sustainable Operation of Shared Autonomous Vehicles," Sustainability, MDPI, vol. 16(12), pages 1-28, June.
    5. Wei-Liang Zhang & Li-Ying Song & Muhammad Ilyas, 2023. "Can the digital economy promote fiscal effort?: Empirical evidence from Chinese cities," Economic Change and Restructuring, Springer, vol. 56(5), pages 3501-3525, October.
    6. Guo, Bingnan & Wang, Yu & Zhang, Hao & Liang, Chunyan & Feng, Yu & Hu, Feng, 2023. "Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities," Economic Modelling, Elsevier, vol. 120(C).
    7. Ren, Xiaohang & Zeng, Gudian & Zhao, Yang, 2023. "Digital finance and corporate ESG performance: Empirical evidence from listed companies in China," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    8. Yuqi Zhu & Siwei Shen & Linyu Du & Jun Fu & Jian Zou & Lina Peng & Rui Ding, 2023. "Spatial and Temporal Interaction Coupling of Digital Economy, New-Type Urbanization and Land Ecology and Spatial Effects Identification: A Study of the Yangtze River Delta," Land, MDPI, vol. 12(3), pages 1-27, March.
    9. Pei Zhao & Junhua Guo & Yang Wang, 2023. "How Does the Digital Economy Affect Green Development?—Evidence from 284 Cities in China," Sustainability, MDPI, vol. 15(15), pages 1-24, July.
    10. Chen, Zhiguo & Gao, Wei & Zafar, Quratulain & Dördüncü, Hazar, 2023. "Natural resources extraction and geopolitical risk: Examining oil resources extraction in China," Resources Policy, Elsevier, vol. 85(PA).
    11. Lixin Zhou & Caiping Qu & Li Zhi, 2024. "Research on the Impact of Digital Infrastructure on Urban Breakthrough Green Innovation: A Case Study of the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 16(22), pages 1-22, November.
    12. Jiekuan Zhang & Yan Zhang, 2023. "Examining the effects of economic growth pressure on green total factor productivity: evidence from China," Economic Change and Restructuring, Springer, vol. 56(6), pages 4309-4337, December.
    13. Jingyi Qin & Qingyu Xu, 2024. "The Impact of the Digital Economy on Population Dividends in China: Based on the Dual Perspective of Quantity and Quality," Sustainability, MDPI, vol. 16(10), pages 1-23, May.
    14. Yunsi Chen & Sumin Hu & Haoqiang Wu, 2023. "The Digital Economy, Green Technology Innovation, and Agricultural Green Total Factor Productivity," Agriculture, MDPI, vol. 13(10), pages 1-15, October.
    15. Tianshun Ruan & Ying Gu & Xinhao Li & Rong Qu, 2022. "Research on the Practical Path of Resource-Based Enterprises to Improve Environmental Efficiency in Digital Transformation," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    16. Yunyan Jiang & Feng Deng, 2022. "Multi-Dimensional Threshold Effects of the Digital Economy on Green Economic Growth?—New Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-22, October.
    17. Xiong, Su & Luo, Rong, 2023. "Investigating the relationship between digital trade, natural resources, energy transition, and green productivity: Moderating role of R&D investment," Resources Policy, Elsevier, vol. 86(PB).
    18. Jiaxing Pang & Xue Li & Xiang Li & Ting Yang & Ya Li & Xingpeng Chen, 2022. "Analysis of Regional Differences and Factors Influencing the Intensity of Agricultural Water in China," Agriculture, MDPI, vol. 12(4), pages 1-20, April.
    19. Yuxin Fang & Hongjun Cao & Jihui Sun, 2022. "Impact of Artificial Intelligence on Regional Green Development under China’s Environmental Decentralization System—Based on Spatial Durbin Model and Threshold Effect," IJERPH, MDPI, vol. 19(22), pages 1-27, November.
    20. Ma, Kelin, 2023. "Digital inclusive finance and corporate green technology innovation," Finance Research Letters, Elsevier, vol. 55(PB).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:14:y:2024:i:8:p:1371-:d:1457283. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.