IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i5p3938-d1077406.html
   My bibliography  Save this article

Digitalization, Electricity Consumption and Carbon Emissions—Evidence from Manufacturing Industries in China

Author

Listed:
  • Qian Zhang

    (Business School, Nanjing Xiaozhuang University, Nanjing 211171, China)

  • Qizhen Wang

    (Business School, Nanjing Xiaozhuang University, Nanjing 211171, China)

Abstract

The development of China’s manufacturing industry is constrained by factors such as energy and resources, and low-carbon development is arduous. Digitalization is an important method to transform and upgrade traditional industries. Based on the panel data of 13 manufacturing industries in China from 2007 to 2019, a regression model and a threshold model were used to empirically test the impact of digitalization and electricity consumption on carbon emissions. The research results were as follows: (1) The digitalization level of China’s manufacturing industry was steadily increasing; (2) The proportion of electricity consumption in China’s manufacturing industries in the total electricity consumption hardly changed from 2007 to 2019, basically maintaining at about 6.8%. The total power consumption increased by about 2.1 times. (3) From 2007 to 2019, the total carbon emissions of China’s manufacturing industry increased, but the carbon emissions of some manufacturing industries decreased. (4) There was an inverted U-shaped relationship between digitalization and carbon emissions, the higher the level of digitalization input, the greater the carbon emissions of the manufacturing industry. However, when digitalization develops to a certain extent, it will also suppress carbon emissions to a certain extent. (5) There was a significant positive correlation between electricity consumption and carbon emissions in the manufacturing industry. (6) There were double energy thresholds for the impact of labor-intensive and technology-intensive manufacturing digitalization on carbon emissions, but only a single economic threshold and scale threshold. There was a single scale threshold for capital-intensive manufacturing, and the value was −0.5352. This research provides possible countermeasures and policy recommendations for digitalization to empower the low-carbon development of China’s manufacturing industry.

Suggested Citation

  • Qian Zhang & Qizhen Wang, 2023. "Digitalization, Electricity Consumption and Carbon Emissions—Evidence from Manufacturing Industries in China," IJERPH, MDPI, vol. 20(5), pages 1-21, February.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:3938-:d:1077406
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/5/3938/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/5/3938/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rongwu Zhang & Wenqiang Fu & Yingxu Kuang, 2022. "Can Digital Economy Promote Energy Conservation and Emission Reduction in Heavily Polluting Enterprises? Empirical Evidence from China," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    2. Hui Peng & Yifan Wang & Yisha Hu & Hong Shen, 2020. "Agglomeration Production, Industry Association and Carbon Emission Performance: Based on Spatial Analysis," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    3. Hui Fang & Chunyu Jiang & Tufail Hussain & Xiaoye Zhang & Qixin Huo, 2022. "Input Digitization of the Manufacturing Industry and Carbon Emission Intensity Based on Testing the World and Developing Countries," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    4. Cowan, Wendy N. & Chang, Tsangyao & Inglesi-Lotz, Roula & Gupta, Rangan, 2014. "The nexus of electricity consumption, economic growth and CO2 emissions in the BRICS countries," Energy Policy, Elsevier, vol. 66(C), pages 359-368.
    5. Ping Chen & Jiawei Gao & Zheng Ji & Han Liang & Yu Peng, 2022. "Do Artificial Intelligence Applications Affect Carbon Emission Performance?—Evidence from Panel Data Analysis of Chinese Cities," Energies, MDPI, vol. 15(15), pages 1-16, August.
    6. Rongrong Zhou & Decai Tang & Dan Da & Wenya Chen & Lin Kong & Valentina Boamah, 2022. "Research on China’s Manufacturing Industry Moving towards the Middle and High-End of the GVC Driven by Digital Economy," Sustainability, MDPI, vol. 14(13), pages 1-30, June.
    7. Benjamin K. Sovacool & Patrick Schmid & Andy Stirling & Goetz Walter & Gordon MacKerron, 2020. "Differences in carbon emissions reduction between countries pursuing renewable electricity versus nuclear power," Nature Energy, Nature, vol. 5(11), pages 928-935, November.
    8. Zhenhua Zhang & Jingxue Zhang & Yanchao Feng, 2021. "Assessment of the Carbon Emission Reduction Effect of the Air Pollution Prevention and Control Action Plan in China," IJERPH, MDPI, vol. 18(24), pages 1-13, December.
    9. Hu, Guoheng & Can, Muhlis & Paramati, Sudharshan Reddy & Doğan, Buhari & Fang, Jianchun, 2020. "The effect of import product diversification on carbon emissions: New evidence for sustainable economic policies," Economic Analysis and Policy, Elsevier, vol. 65(C), pages 198-210.
    10. Liddle, Brantley, 2018. "Consumption-based accounting and the trade-carbon emissions nexus," Energy Economics, Elsevier, vol. 69(C), pages 71-78.
    11. Yituan Liu & Qihang Li & Zheng Zhang, 2022. "Do Smart Cities Restrict the Carbon Emission Intensity of Enterprises? Evidence from a Quasi-Natural Experiment in China," Energies, MDPI, vol. 15(15), pages 1-20, July.
    12. Godwin Effiong Akpan & Usenobong Friday Akpan, 2012. "Electricity Consumption, Carbon Emissions and Economic Growth in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 2(4), pages 292-306.
    13. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2019. "How information and communication technology drives carbon emissions: A sector-level analysis for China," Energy Economics, Elsevier, vol. 81(C), pages 380-392.
    14. Khan, Zeeshan & Ali, Muhsin & Jinyu, Liu & Shahbaz, Muhammad & Siqun, Yang, 2020. "Consumption-based carbon emissions and trade nexus: Evidence from nine oil exporting countries," Energy Economics, Elsevier, vol. 89(C).
    15. 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.
    16. Nian Wang & Yingming Zhu, 2022. "The Integration of Traditional Transportation Infrastructure and Informatization Development: How Does It Affect Carbon Emissions?," Energies, MDPI, vol. 15(20), pages 1-23, October.
    17. Sharif Shofirun Sharif Ali & Muhamad Rizal Razman & Azahan Awang, 2020. "The Nexus of Population, GDP Growth, Electricity Generation, Electricity Consumption and Carbon Emissions Output in Malaysia," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 84-89.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xuemei Jia & Qing Liu & Jiahao Feng & Yuru Li & Lijun Zhang, 2023. "The Induced Effects of Carbon Emissions for China’s Industry Digital Transformation," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    2. Peng Zhao & Fangcheng Tang, 2024. "Digitalization’s Effect on Chinese Employment Mechanism Study," Sustainability, MDPI, vol. 16(4), pages 1-22, February.

    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. Xuemei Jia & Qing Liu & Jiahao Feng & Yuru Li & Lijun Zhang, 2023. "The Induced Effects of Carbon Emissions for China’s Industry Digital Transformation," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    2. Ekundayo P. Mesagan & Wakeel A. Isola & Kazeem B. Ajide, 2019. "The capital investment channel of environmental improvement: evidence from BRICS," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(4), pages 1561-1582, August.
    3. Chinazaekpere Nwani & Andrew Adewale Alola & Chimobi Philip Omoke & Bosede Ngozi Adeleye & Festus Victor Bekun, 2022. "Responding to the environmental effects of remittances and trade liberalization in net-importing economies: the role of renewable energy in Sub-Saharan Africa," Economic Change and Restructuring, Springer, vol. 55(4), pages 2631-2661, November.
    4. Tiba, Sofien & Omri, Anis, 2017. "Literature survey on the relationships between energy, environment and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1129-1146.
    5. Philip Chukwunonso Bosah & Shixiang Li & Gideon Kwaku Minua Ampofo & Daniel Akwasi Asante & Zhanqi Wang, 2020. "The Nexus Between Electricity Consumption, Economic Growth, and CO 2 Emission: An Asymmetric Analysis Using Nonlinear ARDL and Nonparametric Causality Approach," Energies, MDPI, vol. 13(5), pages 1-24, March.
    6. Yu, Zhang & Khan, Syed Abdul Rehman & Ponce, Pablo & Lopes de Sousa Jabbour, Ana Beatriz & Chiappetta Jabbour, Charbel Jose, 2022. "Factors affecting carbon emissions in emerging economies in the context of a green recovery: Implications for sustainable development goals," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    7. Papież, Monika & Śmiech, Sławomir & Frodyma, Katarzyna, 2022. "Does the European Union energy policy support progress in decoupling economic growth from emissions?," Energy Policy, Elsevier, vol. 170(C).
    8. Dervis Kirikkaleli & Hasan Güngör & Tomiwa Sunday Adebayo, 2022. "Consumption‐based carbon emissions, renewable energy consumption, financial development and economic growth in Chile," Business Strategy and the Environment, Wiley Blackwell, vol. 31(3), pages 1123-1137, March.
    9. Jing Wang & Jie Li, 2021. "Exploring the Impact of International Trade on Carbon Emissions: New Evidence from China’s 282 Cities," Sustainability, MDPI, vol. 13(16), pages 1-12, August.
    10. Wang, Ye, 2023. "What drives sustainable development? Evaluating the role of oil and coal resources for selected resource rich economies," Resources Policy, Elsevier, vol. 80(C).
    11. Nwani, Chinazaekpere & Adams, Samuel, 2021. "Environmental cost of natural resource rents based on production and consumption inventories of carbon emissions: Assessing the role of institutional quality," Resources Policy, Elsevier, vol. 74(C).
    12. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Research on the peak of CO2 emissions in the developing world: Current progress and future prospect," Applied Energy, Elsevier, vol. 235(C), pages 186-203.
    13. Arif, Asma & Minh Vu, Hieu & Cong, Ma & Hon Wei, Leow & Islam, Md. Monirul & Niedbała, Gniewko, 2022. "Natural resources commodity prices volatility and economic performance: Evaluating the role of green finance," Resources Policy, Elsevier, vol. 76(C).
    14. Nihit Goyal, 2021. "Limited Demand or Unreliable Supply? A Bibliometric Review and Computational Text Analysis of Research on Energy Policy in India," Sustainability, MDPI, vol. 13(23), pages 1-23, December.
    15. 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.
    16. Abdulrasheed Zakari & Vincent Tawiah, 2019. "Impact of Electricity Consumption, Financial Development, Trade Openness on CO2 Emissions: Evidence from Nigeria," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 143-157.
    17. Sun, Yunpeng & Ajaz, Tahseen & Razzaq, Asif, 2022. "How infrastructure development and technical efficiency change caused resources consumption in BRICS countries: Analysis based on energy, transport, ICT, and financial infrastructure indices," Resources Policy, Elsevier, vol. 79(C).
    18. Razzaq, Asif & Sharif, Arshian & Afshan, Sahar & Li, Claire J., 2023. "Do climate technologies and recycling asymmetrically mitigate consumption-based carbon emissions in the United States? New insights from Quantile ARDL," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    19. Razzaq, Asif & Wang, Yufeng & Chupradit, Supat & Suksatan, Wanich & Shahzad, Farrukh, 2021. "Asymmetric inter-linkages between green technology innovation and consumption-based carbon emissions in BRICS countries using quantile-on-quantile framework," Technology in Society, Elsevier, vol. 66(C).
    20. Frodyma, Katarzyna & Papież, Monika & Śmiech, Sławomir, 2022. "Revisiting the Environmental Kuznets Curve in the European Union countries," Energy, Elsevier, vol. 241(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:jijerp:v:20:y:2023:i:5:p:3938-:d:1077406. 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.