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Green Agricultural Development Based on Information Communication Technology and the Panel Space Measurement Model

Author

Listed:
  • Xueyao Zhang

    (College of Economics and Management, Northeast Forestry University, Harbin 150040, China)

  • Hong Chen

    (College of Economics and Management, Northeast Forestry University, Harbin 150040, China)

Abstract

This study was conducted to promote the construction of China’s ecological civilization; to reduce harm to the environment; to quantify the performance of agricultural green development (GD); and to truly achieve green, sustainable, and healthy agricultural development. From the perspectives of resources and the environment, first, information communication technology and the panel space measurement (PSM) model were adopted to analyze relevant indicator data from 2000 to 2019 in China’s 30 provinces. Second, China’s agriculture was measured to explore the overall characteristics, temporal changes, and regional differences of agricultural development. A panel data measurement model was constructed using the generalized least squares method, and the main factors affecting performance development were analyzed, which were verified by giving examples. Third, the governance countermeasures and improvement directors were proposed for agricultural GD in China. It is found that the driving force of performance of agricultural GD in China mainly depends on technological progress and that technological efficiency determines the speed of agricultural development. The regional differences in performance of agricultural GD are obvious in China. The growth in the performance of agricultural GD in the eastern region is much higher than that of the central, western, and northeast regions. In addition, the results show that the performance of agricultural GD is extremely positively correlated with the agricultural economic level, fiscal support for agriculture policy, and the industrialization process and that it is extremely negatively correlated with the level of opening-up, adjustment of agricultural structure, and the environmental regulatory capability of the government. As a result, this study can provide some ideas for the realization of agriculture GD in China.

Suggested Citation

  • Xueyao Zhang & Hong Chen, 2021. "Green Agricultural Development Based on Information Communication Technology and the Panel Space Measurement Model," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1147-:d:485252
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    References listed on IDEAS

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    Cited by:

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    2. Ruifeng Hu & Weiqiao Xu, 2022. "Exploring the Technological Changes of Green Agriculture in China: Evidence from Patent Data (1998–2021)," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
    3. Chen, Zhe & Sarkar, Apurbo & Rahman, Airin & Li, Xiaojing & Xia, Xianli, 2022. "Exploring the drivers of green agricultural development (GAD) in China: A spatial association network structure approaches," Land Use Policy, Elsevier, vol. 112(C).
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    5. Bin Liu & Chan Lu & Chun Yi, 2023. "Research on Green and Low-Carbon Rural Development in China: A Scientometric Analysis Using CiteSpace (1979–2021)," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    6. Fanghui Pan & Haonan Deng & Miao Chen & Lijuan Zhao & Wei Qian & Xiangrong Wan, 2024. "Spatial–Temporal Evolution and Driving Factors of Agricultural Green Development in China: Evidence from Panel Quantile Approaches," Sustainability, MDPI, vol. 16(15), pages 1-18, July.
    7. Pei Xu & Zehu Jin & Huan Tang, 2022. "Influence Paths and Spillover Effects of Agricultural Agglomeration on Agricultural Green Development," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
    8. Hua Guo & Fan Gu & Yanling Peng & Xin Deng & Lili Guo, 2022. "Does Digital Inclusive Finance Effectively Promote Agricultural Green Development?—A Case Study of China," IJERPH, MDPI, vol. 19(12), pages 1-17, June.
    9. Haisheng Chen & Shuiping Zhu & Jianjun Sun & Kaiyang Zhong & Manhong Shen & Xiaoli Wang, 2022. "A Study of the Spatial Structure and Regional Interaction of Agricultural Green Total Factor Productivity in China Based on SNA and VAR Methods," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    10. Feng Zhou & Chunhui Wen, 2023. "Research on the Level of Agricultural Green Development, Regional Disparities, and Dynamic Distribution Evolution in China from the Perspective of Sustainable Development," Agriculture, MDPI, vol. 13(7), pages 1-47, July.
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