IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i11p9043-d1163126.html
   My bibliography  Save this article

How Does the Industrial Digitization Affect Carbon Emission Efficiency? Empirical Measurement Evidence from China’s Industry

Author

Listed:
  • Ren-Long Zhang

    (School of Management, Guizhou University, Guiyang 550025, China)

  • Xiao-Hong Liu

    (School of Management, Guizhou University, Guiyang 550025, China)

  • Wei-Bo Jiang

    (School of Management, Guizhou University, Guiyang 550025, China)

Abstract

Based on the panel data of China’s industrial carbon emissions from 2015 to 2022, the S-SBM model is scientifically used to measure the industrial carbon emission efficiency, and a spatial model is constructed to empirically analyze the spatial effect of industrial digitalization on carbon emission efficiency. From the regional perspective, it is interesting to find that industrial digitization has shown an overall downward trend of the central, western and northeastern regions showing a roughly N-shaped trend of change. From an industry perspective, we also find that industrial digitization has a relatively high overall impact on the carbon emissions performance of the mining industry with significant changes in the performance of electricity and heat and gas and water production and supply industries. Therefore, the experimental results effectively provide the substantive empirical evidence for policy makers on how to best promote the development of industrial digitization and strengthen the effective application of digital technology affecting carbon emission control in China.

Suggested Citation

  • Ren-Long Zhang & Xiao-Hong Liu & Wei-Bo Jiang, 2023. "How Does the Industrial Digitization Affect Carbon Emission Efficiency? Empirical Measurement Evidence from China’s Industry," Sustainability, MDPI, vol. 15(11), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:9043-:d:1163126
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/11/9043/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/11/9043/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mirzapour, Omid & Rui, Xinyang & Sahraei-Ardakani, Mostafa, 2023. "Transmission impedance control impacts on carbon emissions and renewable energy curtailment," Energy, Elsevier, vol. 278(C).
    2. Fang, Guochang & Gao, Zhengye & Tian, Lixin & Fu, Min, 2022. "What drives urban carbon emission efficiency? – Spatial analysis based on nighttime light data," Applied Energy, Elsevier, vol. 312(C).
    3. Zhichuan Zhu & Bo Liu & Zhuoxi Yu & Jianhong Cao, 2022. "Effects of the Digital Economy on Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
    4. Meng, Conghui & Du, Xiaoyun & Zhu, Mengcheng & Ren, Yitian & Fang, Kai, 2023. "The static and dynamic carbon emission efficiency of transport industry in China," Energy, Elsevier, vol. 274(C).
    5. Huang, Yongming & Zhang, Yanan, 2023. "Digitalization, positioning in global value chain and carbon emissions embodied in exports: Evidence from global manufacturing production-based emissions," Ecological Economics, Elsevier, vol. 205(C).
    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. Fan, Meiting & Li, Mengxu & Liu, Jianghua & Shao, Shuai, 2022. "Is high natural resource dependence doomed to low carbon emission efficiency? Evidence from 283 cities in China," Energy Economics, Elsevier, vol. 115(C).
    8. Yi, Ming & Liu, Yafen & Sheng, Mingyue Selena & Wen, Le, 2022. "Effects of digital economy on carbon emission reduction: New evidence from China," Energy Policy, Elsevier, vol. 171(C).
    9. Shang, Yuping & Raza, Syed Ali & Huo, Zhe & Shahzad, Umer & Zhao, Xin, 2023. "Does enterprise digital transformation contribute to the carbon emission reduction? Micro-level evidence from China," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 1-13.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ruiyuan Dong & Xiaowei Zhou, 2023. "Analysis of the Nonlinear and Spatial Spillover Effects of the Digital Economy on Carbon Emissions in the Yellow River Basin," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    2. Pingguo Xu & Leyi Chen & Huajuan Dai, 2022. "Pathways to Sustainable Development: Corporate Digital Transformation and Environmental Performance in China," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
    3. 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.
    4. Yukun Ma & Shaojian Wang & Chunshan Zhou, 2023. "Can the Development of the Digital Economy Reduce Urban Carbon Emissions? Case Study of Guangdong Province," Land, MDPI, vol. 12(4), pages 1-13, March.
    5. Menggen Chen & Songyangyang Zhao & Jiawen Wang, 2023. "The Impact of the Digital Economy on Regional Carbon Emissions: Evidence from China," Sustainability, MDPI, vol. 15(20), pages 1-34, October.
    6. Qiuqiu Guo & Xiaoyu Ma, 2023. "How Does the Digital Economy Affect Sustainable Urban Development? Empirical Evidence from Chinese Cities," Sustainability, MDPI, vol. 15(5), pages 1-21, February.
    7. Guo, Qiu-tong & Dong, Yong & Feng, Biao & Zhang, Hao, 2023. "Can green finance development promote total-factor energy efficiency? Empirical evidence from China based on a spatial Durbin model," Energy Policy, Elsevier, vol. 177(C).
    8. Senhua Huang & Lingming Chen, 2023. "The Impact of the Digital Economy on the Urban Total-Factor Energy Efficiency: Evidence from 275 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    9. Zhipeng Yu & Yi Liu & Taihua Yan & Ming Zhang, 2024. "Carbon emission efficiency in the age of digital economy: New insights on green technology progress and industrial structure distortion," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 4039-4057, July.
    10. Zhenhua Xu & Fuyi Ci, 2023. "Spatial-Temporal Characteristics and Driving Factors of Coupling Coordination between the Digital Economy and Low-Carbon Development in the Yellow River Basin," Sustainability, MDPI, vol. 15(3), pages 1-23, February.
    11. Nan Li & Beibei Shi & Rong Kang, 2023. "Analysis of the Coupling Effect and Space-Time Difference between China’s Digital Economy Development and Carbon Emissions Reduction," IJERPH, MDPI, vol. 20(1), pages 1-25, January.
    12. Lyu Jun & Shuang Lu & Xiang Li & Zeng Li & Chenglong Cao, 2023. "Spatio-Temporal Characteristics of Industrial Carbon Emission Efficiency and Their Impacts from Digital Economy at Chinese Prefecture-Level Cities," Sustainability, MDPI, vol. 15(18), pages 1-17, September.
    13. Zheng, Li & Yuan, Ling & Khan, Zeeshan & Badeeb, Ramez Abubakr & Zhang, Leilei, 2023. "How G-7 countries are paving the way for net-zero emissions through energy efficient ecosystem?," Energy Economics, Elsevier, vol. 117(C).
    14. Yan Peng & Hanzi Chen & Tinghui Li, 2023. "The Impact of Digital Transformation on ESG: A Case Study of Chinese-Listed Companies," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
    15. Tao, Miaomiao & Wen, Le & Sheng, Mingyue Selena & Poletti, Stephen, 2024. "Appraising the role of energy conservation and emission reduction policy for eco-friendly productivity improvements: An entropy-balancing DID approach," Energy Economics, Elsevier, vol. 132(C).
    16. 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.
    17. Bai, Ling & Guo, Tianran & Xu, Wei & Liu, Yaobin & Kuang, Ming & Jiang, Lei, 2023. "Effects of digital economy on carbon emission intensity in Chinese cities: A life-cycle theory and the application of non-linear spatial panel smooth transition threshold model," Energy Policy, Elsevier, vol. 183(C).
    18. Kangni Lyu & Shuwang Yang & Kun Zheng & Yao Zhang, 2023. "How Does the Digital Economy Affect Carbon Emission Efficiency? Evidence from Energy Consumption and Industrial Value Chain," Energies, MDPI, vol. 16(2), pages 1-20, January.
    19. Yaqiao Xu & Jiayi Hu & Liusan Wu, 2023. "Efficiency Evaluation of China’s Provincial Digital Economy Based on a DEA Cross-Efficiency Model," Mathematics, MDPI, vol. 11(13), pages 1-11, July.
    20. Chen, Yan & Zhang, Ruiqian & Lyu, Jiayi & Ma, Xin, 2024. "The butterfly effect of cloud computing on the low-carbon economy," Technological Forecasting and Social Change, Elsevier, vol. 204(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:9043-:d:1163126. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.