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The Impact of the Digital Economy on Carbon Emissions from Cultivated Land Use

Author

Listed:
  • Jie Li

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Zhengchuan Sun

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Jie Zhou

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Yaya Sow

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Xufeng Cui

    (School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Haipeng Chen

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Qianling Shen

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

Abstract

Is digitalization conducive to promoting carbon reduction in cultivated land use while empowering high-quality socio-economic development and intelligent territorial spatial planning? Derived from China’s provincial panel data from the period 2011 to 2019, in this paper, we employ a fixed-effect model to study the impact of the digital economy on carbon emissions from cultivated land use and apply an intermediary-effect model to estimate the impact that the structure of the digital economy has on carbon emissions from cultivated land use. The results indicate the following: (1) The expansion of the digital economy can significantly decrease the carbon emissions caused by cultivated land use. This conclusion is still valid after considering endogenous issues and conducting a series of robustness tests. (2) Green technical renovation has played a significant intermediary role in the effect the digital economy has on the amount of carbon emissions from cultivated land use. (3) Digital economy development has significantly promoted innovation in green technology by increasing the size of green invention patent applications and authorizations, thus effectively curbing carbon emissions from cultivated land use and achieving the carbon emission reduction effect of the digital economy. However, some suggestions are put forward, including speeding up the deep integration of digital technology and cultivated land use planning, strengthening the application of green technical renovation achievements in the agricultural field, and enhancing the government’s function in the institutional guarantee of the growth of the digital economy.

Suggested Citation

  • Jie Li & Zhengchuan Sun & Jie Zhou & Yaya Sow & Xufeng Cui & Haipeng Chen & Qianling Shen, 2023. "The Impact of the Digital Economy on Carbon Emissions from Cultivated Land Use," Land, MDPI, vol. 12(3), pages 1-18, March.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:3:p:665-:d:1094767
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    References listed on IDEAS

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    1. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    2. Min Zhou & Hua Zhang & Nan Ke, 2022. "Cultivated Land Transfer, Management Scale, and Cultivated Land Green Utilization Efficiency in China: Based on Intermediary and Threshold Models," IJERPH, MDPI, vol. 19(19), pages 1-20, October.
    3. Hualin Xie & Yanwei Zhang & Yongrok Choi, 2018. "Measuring the Cultivated Land Use Efficiency of the Main Grain-Producing Areas in China under the Constraints of Carbon Emissions and Agricultural Nonpoint Source Pollution," Sustainability, MDPI, vol. 10(6), pages 1-32, June.
    4. Li Liu & Tao Ding & Hao Wang, 2022. "Digital Economy, Technological Innovation and Green High-Quality Development of Industry: A Study Case of China," Sustainability, MDPI, vol. 14(17), pages 1-17, September.
    5. Zhuoxi Yu & Shan Liu & Zhichuan Zhu, 2022. "Has the Digital Economy Reduced Carbon Emissions?: Analysis Based on Panel Data of 278 Cities in China," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    6. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    7. Xianhong Xiang & Guoge Yang & Hui Sun, 2022. "The Impact of the Digital Economy on Low-Carbon, Inclusive Growth: Promoting or Restraining," Sustainability, MDPI, vol. 14(12), pages 1-27, June.
    8. Ma, Dan & Zhu, Qing, 2022. "Innovation in emerging economies: Research on the digital economy driving high-quality green development," Journal of Business Research, Elsevier, vol. 145(C), pages 801-813.
    9. Debao Dai & Yaodong Fan & Guangyu Wang & Jiaping Xie, 2022. "Digital Economy, R&D Investment, and Regional Green Innovation—Analysis Based on Provincial Panel Data in China," Sustainability, MDPI, vol. 14(11), pages 1-21, May.
    10. Ma, Qiang & Tariq, Muhammad & Mahmood, Haider & Khan, Zeeshan, 2022. "The nexus between digital economy and carbon dioxide emissions in China: The moderating role of investments in research and development," Technology in Society, Elsevier, vol. 68(C).
    11. Nan Ke & Xupeng Zhang & Xinhai Lu & Bing Kuang & Bin Jiang, 2022. "Regional Disparities and Influencing Factors of Eco-Efficiency of Arable Land Utilization in China," Land, MDPI, vol. 11(2), pages 1-17, February.
    12. Pengnan Xiao & Yuan Zhang & Peng Qian & Mengyao Lu & Zupeng Yu & Jie Xu & Chong Zhao & Huilin Qian, 2022. "Spatiotemporal Characteristics, Decoupling Effect and Driving Factors of Carbon Emission from Cultivated Land Utilization in Hubei Province," IJERPH, MDPI, vol. 19(15), pages 1-32, July.
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    Cited by:

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