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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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    1. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "Analysis of green total-factor productivity in China's regional metal industry: A meta-frontier approach," Resources Policy, Elsevier, vol. 58(C), pages 219-229.
    2. Bing Feng & Kaiyang Sun & Min Chen & Tao Gao, 2020. "The Impact of Core Technological Capabilities of High-Tech Industry on Sustainable Competitive Advantage," Sustainability, MDPI, vol. 12(7), pages 1-15, April.
    3. Jialing Yu & Jian Wu, 2018. "The Sustainability of Agricultural Development in China: The Agriculture–Environment Nexus," Sustainability, MDPI, vol. 10(6), pages 1-17, May.
    4. Yuan Chen & Bingsheng Liu & Yinghua Shen & Xueqing Wang, 2018. "Spatial analysis of change trend and influencing factors of total factor productivity in China’s regional construction industry," Applied Economics, Taylor & Francis Journals, vol. 50(25), pages 2824-2843, May.
    5. Carolina Yacamán Ochoa & Daniel Ferrer Jiménez & Rafael Mata Olmo, 2020. "Green Infrastructure Planning in Metropolitan Regions to Improve the Connectivity of Agricultural Landscapes and Food Security," Land, MDPI, vol. 9(11), pages 1-23, October.
    6. Mwangi Githiru & Josephine W. Njambuya, 2019. "Globalization and Biodiversity Conservation Problems: Polycentric REDD+ Solutions," Land, MDPI, vol. 8(2), pages 1-8, February.
    7. Zhijun Feng & Wei Chen, 2018. "Environmental Regulation, Green Innovation, and Industrial Green Development: An Empirical Analysis Based on the Spatial Durbin Model," Sustainability, MDPI, vol. 10(1), pages 1-22, January.
    8. Jiuliang Xu & Zhihua Zhang & Xian Zhang & Muhammad Ishfaq & Jiahui Zhong & Wei Li & Fusuo Zhang & Xuexian Li, 2020. "Green Food Development in China: Experiences and Challenges," Agriculture, MDPI, vol. 10(12), pages 1-15, December.
    9. Yoon Jung Choi & Jungho Baek, 2017. "Does FDI Really Matter to Economic Growth in India?," Economies, MDPI, vol. 5(2), pages 1-9, June.
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    Cited by:

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    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. Yongna Zou & Qingping Cheng & Hanyu Jin & Xuefu Pu, 2023. "Evaluation of Green Agricultural Development and Its Influencing Factors under the Framework of Sustainable Development Goals: Case Study of Lincang City, an Underdeveloped Mountainous Region of China," Sustainability, MDPI, vol. 15(15), pages 1-22, August.
    8. Xingling Jiang & Yong Sun & Mou Shen & Lixia Tang, 2024. "How Does Developing Green Agriculture Affect Poverty? Evidence from China’s Prefecture-Level Cities," Agriculture, MDPI, vol. 14(3), pages 1-16, March.
    9. 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.
    10. 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.
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