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Impact of Digital Economy Development on Carbon Emission Efficiency: A Spatial Econometric Analysis Based on Chinese Provinces and Cities

Author

Listed:
  • Liang Liu

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China
    These authors contributed equally to this work and should be considered co-first authors.)

  • Yuhan Zhang

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China
    These authors contributed equally to this work and should be considered co-first authors.)

  • Xiujuan Gong

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China)

  • Mengyue Li

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China)

  • Xue Li

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China
    School of Environment and Resource, Southwest University of Science and Technology, Mianyang 621010, China)

  • Donglin Ren

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China)

  • Pan Jiang

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China
    School of Environment and Resource, Southwest University of Science and Technology, Mianyang 621010, China)

Abstract

In the realistic context of the development of China’s digital economy and carbon peaking and carbon neutrality goals, to efficiently achieve high-quality economic and green and low-carbon transformation, this paper investigates the impact of digital economy development on the carbon emission efficiency of 30 Chinese provinces and cities from 2011–2019. In this paper, firstly, the digital economy development index and carbon emission efficiency are calculated by the entropy method and the Super-SBM-Undesirable Model. Secondly, the Spatial Lag Model (SAR) and the Spatial Durbin Model (SDM) are respectively constructed under the adjacency matrix and the geographic distance matrix to empirically test the spatial impact of the digital economy on carbon emission efficiency. The results show that: the digital economy development and carbon emission efficiency of Chinese provinces and cities both show the spatial distribution characteristics of stronger in the East and weaker in the Middle and West; the digital economy development in Chinese provinces and cities has a significantly positive direct and spatial spillover effect on carbon emission efficiency; there are differences in the direct and spatial spillover effects of various dimensions of the digital economy development on the carbon emission efficiency in Chinese provinces and cities; the direct effect of the digital economy development on the carbon emission efficiency in Chinese provinces and cities has significant regional heterogeneity among eastern, central, and western regions. This paper provides new empirical evidence for developing countries such as China to proactively develop a digital economy to promote energy conservation and emission reduction to realize green and low-carbon transformation.

Suggested Citation

  • Liang Liu & Yuhan Zhang & Xiujuan Gong & Mengyue Li & Xue Li & Donglin Ren & Pan Jiang, 2022. "Impact of Digital Economy Development on Carbon Emission Efficiency: A Spatial Econometric Analysis Based on Chinese Provinces and Cities," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:14838-:d:969694
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    7. Luwei Wang & Yizhen Zhang & Qing Zhao & Chuantang Ren & Yu Fu & Tao Wang, 2023. "Horizontal CO 2 Compensation in the Yangtze River Delta Based on CO 2 Footprints and CO 2 Emissions Efficiency," IJERPH, MDPI, vol. 20(2), pages 1-23, January.
    8. Fagang Hu & Hongjun Liu & Yuxia Guo & Heping Ding & Kun Wang, 2024. "Coupling and Coordinated Development of Carbon Emission Efficiency in Industrial Enterprises and the Digital Economy: Empirical Evidence from Anhui, China," Sustainability, MDPI, vol. 16(14), pages 1-22, July.
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