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The Effect and Mechanism of Agricultural Informatization on Economic Development: Based on a Spatial Heterogeneity Perspective

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  • Tian Tian

    (College of Economic and Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Li Li

    (College of Marxism, Huazhong Agricultural University, Wuhan 430070, China)

  • Jing Wang

    (Economics and Management School, Wuhan University, Wuhan 430070, China)

Abstract

As the future direction of modern agriculture, agricultural informatization (AI) and its economic effects are worth exploring because they can well promote digital agriculture. Based on the existing research results, we propose six hypotheses around the economic benefits of AI and construct the geographically and temporally weighted regression (GTWR) model with a sample of 30 Chinese provinces over the period 2001–2020 for validation. Specifically, starting from farmers’ income and regional economic growth, the entropy value method is used to construct the AI indicators, and the GTWR model is constructed to analyze the effect of AI. Furthermore, the transmission mechanism of AI was explored from the perspective of agricultural industry structure upgrading. The following conclusions were drawn. First, the level of AI in China has increased significantly, and meanwhile its spatial correlation has also strengthened year by year. Second, AI demonstrates a positive correlation with farmers’ income growth and regional economic development, which means that it has become an important contributing factor of rural economic output. Third, agricultural industry structure upgrading is one of the important ways for AI to leverage its economic effect. Hence, improving the informatization level in the rural and agricultural sectors through multi-dimensionality is of positive and pragmatic significance for the rural economy.

Suggested Citation

  • Tian Tian & Li Li & Jing Wang, 2022. "The Effect and Mechanism of Agricultural Informatization on Economic Development: Based on a Spatial Heterogeneity Perspective," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3165-:d:766438
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    Cited by:

    1. Ye Tian & Qin Liu & Yiting Ye & Zhaofang Zhang & Ribesh Khanal, 2023. "How the Rural Digital Economy Drives Rural Industrial Revitalization—Case Study of China’s 30 Provinces," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    2. Wei Chen & Quanzhong Wang & Hong Zhou, 2022. "Digital Rural Construction and Farmers’ Income Growth: Theoretical Mechanism and Micro Experience Based on Data from China," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
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    4. Wen Yao & Zhuo Sun, 2023. "The Impact of the Digital Economy on High-Quality Development of Agriculture: A China Case Study," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    5. Qing Wang & Yuhang Xiao, 2022. "Has Urban Construction Land Achieved Low-Carbon Sustainable Development? A Case Study of North China Plain, China," Sustainability, MDPI, vol. 14(15), pages 1-29, August.

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