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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.

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  • 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
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    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. 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.
    3. 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.
    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. 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.
    6. Liddle, Brantley, 2018. "Consumption-based accounting and the trade-carbon emissions nexus," Energy Economics, Elsevier, vol. 69(C), pages 71-78.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. 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.
    14. 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.
    15. 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.
    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.
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    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.

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