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Can New Quality Productivity Drive the Low-Carbon Transformation of Carbon-Intensive Industries? Macro and Micro Evidence from China

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  • Hui Wang

    (School of Economics and Management, Leshan Normal University, Leshan 614000, China
    Western Experimental Research Base of Development Economics of China, Leshan 614000, China)

  • Jie Zhou

    (School of Economics and Management, Leshan Normal University, Leshan 614000, China)

  • Kuiying Gu

    (School of Public Health, Soochow University, Suzhou 215021, China
    Institute for Healthy China, Tsinghua University, Beijing 100084, China)

  • Feng Dong

    (School of Economics and Management, Yanshan University, Qinhuangdao 066000, China)

Abstract

Reducing carbon dioxide emissions within carbon-intensive industries is a critical strategy to effectively combat global warming. The accelerated cultivation and enhancement of new quality productivity has created new momentum directed towards industrial low-carbon transformation. Using data from a sample of Chinese provinces and enterprises between 2011 and 2022, this study quantifies, evaluates, and explores the influence and mechanisms of new quality productivity on the low-carbon transformation of carbon-intensive industries. The research findings show that: (1) Fostering new quality productivity effectively promotes the low-carbon transformation of carbon-intensive industries and plays a positive, empowering role. Industrial innovation, digital stimulation, technological innovation, and green empowerment all support the low-carbon transformation of carbon-intensive industries, with their respective impacts gradually decreasing in turn. (2) Mechanism analysis confirms a chain transmission mechanism of “new quality productivity—environmental protection investment—green innovation—the transformation of carbon-intensive industries” at the macro-provincial level. In micro-level carbon-intensive enterprises, a positive U-shaped relationship between new quality productivity and low-carbon transformation of carbon-intensive industries is evident, and the main pathways include increasing low-carbon, energy-saving investment and improving the ESG performance of high-carbon emission enterprises. (3) Advancing transformation is more pronounced in central and western areas, high-carbon areas, non-carbon trading pilot areas, and non-energy-rich ecologically fragile areas. The government and enterprises should take advantage of the development opportunities of new quality productivity and adopt low-carbon behaviors to promote transformational development.

Suggested Citation

  • Hui Wang & Jie Zhou & Kuiying Gu & Feng Dong, 2025. "Can New Quality Productivity Drive the Low-Carbon Transformation of Carbon-Intensive Industries? Macro and Micro Evidence from China," Energies, MDPI, vol. 18(13), pages 1-23, June.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:13:p:3278-:d:1685723
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    as
    1. Wang, Jianda & Dong, Kangyin & Dong, Xiucheng & Taghizadeh-Hesary, Farhad, 2022. "Assessing the digital economy and its carbon-mitigation effects: The case of China," Energy Economics, Elsevier, vol. 113(C).
    2. Ma, Qiang & Murshed, Muntasir & Khan, Zeeshan, 2021. "The nexuses between energy investments, technological innovations, emission taxes, and carbon emissions in China," Energy Policy, Elsevier, vol. 155(C).
    3. Yu, Linhui & Miao, Oujing & Tang, Xuepeng, 2024. "Smart city construction and quality upgrading of export products: Evidence from China," Journal of Asian Economics, Elsevier, vol. 95(C).
    4. Zhang, Qiming & Zhao, Xuan, 2024. "Can the digital economy facilitate the optimization of industrial structure in resource-based cities?," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 405-416.
    5. Zhang, Weijie & Li, Bowen, 2025. "Energy-use rights trading, technological innovation, and green transformation of energy-intensive manufacturing enterprises," Economic Analysis and Policy, Elsevier, vol. 86(C), pages 528-544.
    6. Zhang, Lihua & Chen, Xinyu & Xu, Zheng, 2024. "Can development zones reduce energy consumption and carbon emissions of enterprises? Evidence from China," Journal of Asian Economics, Elsevier, vol. 95(C).
    7. Luo, Juan & Jin, Xiaoman & Hu, Yiming, 2024. "Top-down or bottom-up? Government policies, public awareness and carbon reduction," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 118-129.
    8. Ai, Hongshan & Mangla, Sachin Kumar & Song, Malin & Tan, Xiaoqing & Zhang, Shangfeng, 2024. "Technology-enabled business model innovation and carbon emission reduction: Evidence from a place-based policy in China," Technovation, Elsevier, vol. 134(C).
    9. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    10. Zhao, Tian & Liu, Zhixin, 2019. "A novel analysis of carbon capture and storage (CCS) technology adoption: An evolutionary game model between stakeholders," Energy, Elsevier, vol. 189(C).
    11. Huo, Weidong & Qi, Jie & Yang, Tong & Liu, Jialu & Liu, Miaomiao & Zhou, Ziqi, 2022. "Effects of China's pilot low-carbon city policy on carbon emission reduction: A quasi-natural experiment based on satellite data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    12. Pan, Wenrong & Xie, Tao & Wang, Zhuwang & Ma, Lisha, 2022. "Digital economy: An innovation driver for total factor productivity," Journal of Business Research, Elsevier, vol. 139(C), pages 303-311.
    13. Lin, Boqiang & Li, Minyang, 2023. "Emerging Industry Development and Information Transmission in Financial Markets: Evidence from China's Renewable Energy," Energy Economics, Elsevier, vol. 128(C).
    14. Zeng, Shihong & Li, Tengfei & Wu, Shaomin & Gao, Weijun & Li, Gen, 2024. "Does green technology progress have a significant impact on carbon dioxide emissions?," Energy Economics, Elsevier, vol. 133(C).
    15. Lindman, Åsa & Söderholm, Patrik, 2016. "Wind energy and green economy in Europe: Measuring policy-induced innovation using patent data," Applied Energy, Elsevier, vol. 179(C), pages 1351-1359.
    16. Tatyana Tolstykh & Nadezhda Shmeleva & Leyla Gamidullaeva & Victoria Krasnobaeva, 2023. "The Role of Collaboration in the Development of Industrial Enterprises Integration," Sustainability, MDPI, vol. 15(9), pages 1-26, April.
    17. Tian, Xu & Dai, Hancheng & Geng, Yong & Huang, Zhen & Masui, Toshihiko & Fujita, Tsuyoshi, 2017. "The effects of carbon reduction on sectoral competitiveness in China: A case of Shanghai," Applied Energy, Elsevier, vol. 197(C), pages 270-278.
    18. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    19. You, Jianmin & Zhang, Wei, 2022. "How heterogeneous technological progress promotes industrial structure upgrading and industrial carbon efficiency? Evidence from China's industries," Energy, Elsevier, vol. 247(C).
    20. Wang, Baixue & Duan, Maosheng, 2025. "Have China's emissions trading systems reduced carbon emissions? Firm-level evidence from the power sector," Applied Energy, Elsevier, vol. 378(PB).
    21. Feng, Jing-Chun & Sun, Liwei & Yan, Jinyue, 2023. "Carbon sequestration via shellfish farming: A potential negative emissions technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    22. Dong, Feng & Li, Zhicheng & Huang, Zihuang & Liu, Yu, 2024. "Extreme weather, policy uncertainty, and risk spillovers between energy, financial, and carbon markets," Energy Economics, Elsevier, vol. 137(C).
    23. Gereffi, Gary, 1999. "International trade and industrial upgrading in the apparel commodity chain," Journal of International Economics, Elsevier, vol. 48(1), pages 37-70, June.
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