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Digital Transformation and Corporate Carbon Emissions: Evidence from China’s Listed Companies

Author

Listed:
  • Xiaojuan Cheng

    (School of Accounting, Hunan University of Technology and Business, Changsha 410205, China)

  • Zihao Zhang

    (School of Accounting, Hunan University of Technology and Business, Changsha 410205, China)

  • Duojun He

    (School of Business Administration, Hunan University of Technology and Business, Changsha 410205, China)

  • Chunguang Quan

    (School of Economics and Management, Changsha University, Changsha 410022, China)

Abstract

Digital transformation is a crucial engine empowering enterprises for green, low-carbon development and a key pathway towards achieving China’s dual carbon goals. To investigate the carbon-emission reduction effects and mechanisms of corporate digital transformation, the panel data of China’s A-share listed companies from 2010 to 2021 were utilized to empirically examine the impact and mechanisms of digital transformation on corporate carbon emissions in this study, based on the dynamic capability and resource-based theory. The results show that the following: (1) Digital transformation demonstrates significant potential in reducing corporate carbon emissions; (2) The emission reduction effects are primarily achieved through the three key mechanisms of enhancing green innovation capabilities, alleviating financing constraints, and optimizing human capital structures; (3) The effect of digital transformation on carbon emission reductions demonstrates significant heterogeneity across enterprise characteristics and geographical locations, with particularly notable impacts observed in high-tech firms, state-owned enterprises, carbon-intensive industries, and companies located in eastern China. Therefore, we should vigorously promote the process of digital transformation of enterprises and implement targeted policy measures to support corporate green innovation, enhance financing accessibility, and optimize human capital structure. Simultaneously, we should develop differentiated emission reduction mechanisms that account for enterprise-specific characteristics, thereby maximizing the effectiveness of digital transformation in achieving dual-carbon objectives.

Suggested Citation

  • Xiaojuan Cheng & Zihao Zhang & Duojun He & Chunguang Quan, 2025. "Digital Transformation and Corporate Carbon Emissions: Evidence from China’s Listed Companies," Sustainability, MDPI, vol. 17(9), pages 1-25, April.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:3944-:d:1644207
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    References listed on IDEAS

    as
    1. Rehman, Shafique Ur & Kraus, Sascha & Shah, Syed Asim & Khanin, Dmitry & Mahto, Raj V., 2021. "Analyzing the relationship between green innovation and environmental performance in large manufacturing firms," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    2. Zhou, Shuya & Zhou, Peiyan & Ji, Hannah, 2022. "Can digital transformation alleviate corporate tax stickiness: The mediation effect of tax avoidance," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    3. Dayuan Li & Min Huang & Shenggang Ren & Xiaohong Chen & Lutao Ning, 2018. "Environmental Legitimacy, Green Innovation, and Corporate Carbon Disclosure: Evidence from CDP China 100," Journal of Business Ethics, Springer, vol. 150(4), pages 1089-1104, July.
    4. Zhang, Yiren & Ran, Congjing, 2023. "Effect of digital economy on air pollution in China? New evidence from the “National Big Data Comprehensive Pilot Area” policy," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 986-1004.
    5. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    6. Haefner, Naomi & Wincent, Joakim & Parida, Vinit & Gassmann, Oliver, 2021. "Artificial intelligence and innovation management: A review, framework, and research agenda✰," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    7. Yu Ma & Pan Tao, 2023. "A Perspective on Management Myopia: The Impact of Digital Transformation on Carbon Emission Intensity," Sustainability, MDPI, vol. 15(12), pages 1-22, June.
    8. Umar, Muhammad & Mirza, Nawazish & Hasnaoui, Jamila Abaidi & Rochoń, Małgorzata Porada, 2022. "The nexus of carbon emissions, oil price volatility, and human capital efficiency," Resources Policy, Elsevier, vol. 78(C).
    9. Weidong Chen & Xiaohui Yuan, 2021. "Financial inclusion in China: an overview," Frontiers of Business Research in China, Springer, vol. 15(1), pages 1-21, December.
    10. Yami, Saïd & M'Chirgui, Zouhaier & Spano, Claude & Gontier Barykina, Olga, 2021. "Reinventing science and technology entrepreneurship education: The role of human and social capitals," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    11. Lu Zhang & Shenggang Ren & Xiaohong Chen & Dayuan Li & Duanjinyu Yin, 2020. "CEO Hubris and Firm Pollution: State and Market Contingencies in a Transitional Economy," Journal of Business Ethics, Springer, vol. 161(2), pages 459-478, January.
    12. Yu Chen & Shuangshuang Liu & Yanqiu Xiao & Qian Zhou, 2024. "Can Digital Transformation Reduce Enterprise Carbon Intensity? An Empirical Analysis of Chinese Manufacturers," Sustainability, MDPI, vol. 16(12), pages 1-19, June.
    13. Bashir, Muhammad Farhan & Shahbaz, Muhammad & Malik, Muhammad Nasir & Ma, Beiling & Wang, Jianming, 2023. "Energy transition, natural resource consumption and environmental degradation: The role of geopolitical risk in sustainable development," Resources Policy, Elsevier, vol. 85(PA).
    14. Sadorsky, Perry, 2012. "Information communication technology and electricity consumption in emerging economies," Energy Policy, Elsevier, vol. 48(C), pages 130-136.
    15. Kammerer, Daniel, 2009. "The effects of customer benefit and regulation on environmental product innovation.: Empirical evidence from appliance manufacturers in Germany," Ecological Economics, Elsevier, vol. 68(8-9), pages 2285-2295, June.
    16. Toni M. Whited & Guojun Wu, 2006. "Financial Constraints Risk," The Review of Financial Studies, Society for Financial Studies, vol. 19(2), pages 531-559.
    17. Rong, Liu & Wang, Zhenbo & Li, Zhijun, 2024. "Unraveling the role of Financial Risk, social globalization and Economic Risk towards attaining sustainable environment in China: Does resources curse still holds," Resources Policy, Elsevier, vol. 88(C).
    18. Li, Chengming & Huo, Peng & Wang, Zeyu & Zhang, Weiguang & Liang, Feiyan & Mardani, Abbas, 2023. "Digitalization generates equality? Enterprises’ digital transformation, financing constraints, and labor share in China," Journal of Business Research, Elsevier, vol. 163(C).
    19. Rodgers, Waymond & Cardenas, Jesus A. & Gemoets, Leopoldo A. & Sarfi, Robert J., 2023. "A smart grids knowledge transfer paradigm supported by experts' throughput modeling artificial intelligence algorithmic processes," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    20. Xu, Qiong & Zhong, Meirui & Li, Xin, 2022. "How does digitalization affect energy? International evidence," Energy Economics, Elsevier, vol. 107(C).
    21. Zheng, Deyuan & Song, Hang & Zhao, Chunguang & Liu, Yujiao & Zhao, Wenhao, 2024. "Is it possible for semiconductor companies to reduce carbon emissions through digital transformation? Evidence from China," International Journal of Production Economics, Elsevier, vol. 272(C).
    22. Gan, Jiawu & Liu, Lihua & Qiao, Gang & Zhang, Qin, 2023. "The role of robot adoption in green innovation: Evidence from China," Economic Modelling, Elsevier, vol. 119(C).
    23. 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).
    24. Wang, Lianghu & Shao, Jun, 2023. "Digital economy, entrepreneurship and energy efficiency," Energy, Elsevier, vol. 269(C).
    25. Lee, Chien-Chiang & Chang, Yu-Fang & Wang, En-Ze, 2022. "Crossing the rivers by feeling the stones: The effect of China's green credit policy on manufacturing firms' carbon emission intensity," Energy Economics, Elsevier, vol. 116(C).
    26. Luo, Jigang & Wang, Zhen & Wu, Maohua, 2021. "Effect of place-based policies on the digital economy: Evidence from the Smart City Program in China," Journal of Asian Economics, Elsevier, vol. 77(C).
    27. Yi Lin & Xin Qi & Lijuan Wang, 2024. "Digital Transformation and Carbon Intensity: Evidence from Chinese Tourism Companies," Sustainability, MDPI, vol. 16(21), pages 1-22, October.
    28. Ding, Tao & Li, Jiangyuan & Shi, Xing & Li, Xuhui & Chen, Ya, 2023. "Is artificial intelligence associated with carbon emissions reduction? Case of China," Resources Policy, Elsevier, vol. 85(PB).
    29. Wang, Lei & Chen, Yangyang & Ramsey, Thomas Stephen & Hewings, Geoffrey J.D., 2021. "Will researching digital technology really empower green development?," Technology in Society, Elsevier, vol. 66(C).
    30. Saïd Yami & Zouhaier M'Chirgui & Claude Spano & Olga Gontier Barykina, 2021. "Reinventing science and technology entrepreneurship education: The role of human and social capitals," Post-Print hal-03145505, HAL.
    31. Qiuyue Xia & Lu Li & Bin Zhang & Jie Dong, 2022. "Nonlinear Influence of Land-Use Transition on Carbon Emission Transfer: A Threshold Regression Analysis of the Middle Reaches of the Yangtze River in China," Land, MDPI, vol. 11(9), pages 1-24, September.
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