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The Impact of Global Digital Trade Development on China’s Grain Import Trade Potential: An Empirical Analysis Based on a Time-Varying Stochastic Frontier Gravity Model

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  • Dongpu Xu

    (College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China
    Institute of Horticultural Economics, Huazhong Agricultural University, Wuhan 430070, China
    Hubei Rural Development Research Center, Wuhan 430070, China)

  • Chunjie Qi

    (College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China
    Institute of Horticultural Economics, Huazhong Agricultural University, Wuhan 430070, China)

  • Guozhu Fang

    (Department of Economics, Party School of Zhejiang Provincial Committee of Communist Party of China, Hangzhou 310012, China)

  • Yumeng Gu

    (College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China
    Institute of Horticultural Economics, Huazhong Agricultural University, Wuhan 430070, China
    Hubei Rural Development Research Center, Wuhan 430070, China)

Abstract

It is of great significance to clarify the impact of the rapid development of digital trade on China’s grain imports in order to enhance its efficiency and guarantee food security. From an import perspective, this article adopts a stochastic frontier gravity model and a trade inefficiency model to analyze the influence of global digital trade development on the efficiency of China’s grain imports and further estimates the potential for trade expansion. The main findings include the following: (a) Divergence in digital trade capabilities persists across nations. As countries advance their digital trade ecosystems, China’s grain import efficiency demonstrates corresponding enhancements. (b) Compared with digital infrastructure construction and digital trade competition intensity, China’s food import trade efficiency increases as the level of digital technology innovation improves. (c) China achieves the highest trade efficiency in grain import among the ASEAN (Association of Southeast Asian Nations) and North American countries, while the greatest untapped potential lies in imports from South America. Accordingly, for different countries, it is necessary to adopt different strategies to enhance cooperation with the world’s major grain-trading countries in the areas of digital trade infrastructure construction and digital technology innovation, and to use digital trade to optimize China’s grain import trade chain and improve its efficiency.

Suggested Citation

  • Dongpu Xu & Chunjie Qi & Guozhu Fang & Yumeng Gu, 2025. "The Impact of Global Digital Trade Development on China’s Grain Import Trade Potential: An Empirical Analysis Based on a Time-Varying Stochastic Frontier Gravity Model," Agriculture, MDPI, vol. 15(12), pages 1-25, June.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:12:p:1324-:d:1683178
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    References listed on IDEAS

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    1. Yuting Xiao & Buwajian Abula, 2024. "Examining the Impact of Digital Economy on Agricultural Trade Efficiency in RCEP Region: A Perspective Based on Spatial Spillover Effects," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 9907-9934, September.
    2. Ke Liu & Qiang Fu, 2024. "Does Geopolitical Risk Affect Agricultural Exports? Chinese Evidence from the Perspective of Agricultural Land," Land, MDPI, vol. 13(3), pages 1-15, March.
    3. Karolina Pawlak & Małgorzata Kołodziejczak, 2020. "The Role of Agriculture in Ensuring Food Security in Developing Countries: Considerations in the Context of the Problem of Sustainable Food Production," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    4. Chenggang Wang & Fan Meng & Tiansen Liu, 2025. "The impact of digital trade development on China’s export of technology-intensive products: Evidence from importing countries," PLOS ONE, Public Library of Science, vol. 20(4), pages 1-35, April.
    5. Abeliansky, Ana L. & Hilbert, Martin, 2017. "Digital technology and international trade: Is it the quantity of subscriptions or the quality of data speed that matters?," Telecommunications Policy, Elsevier, vol. 41(1), pages 35-48.
    6. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    7. Juan D. Borrero & Jesús Mariscal, 2022. "A Case Study of a Digital Data Platform for the Agricultural Sector: A Valuable Decision Support System for Small Farmers," Agriculture, MDPI, vol. 12(6), pages 1-15, May.
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