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How does corporate digital transformation affect carbon productivity? Evidence from Chinese listed companies

Author

Listed:
  • Tianchu Feng

    (Jiyang College, Zhejiang A&F University
    Zhejiang A&F University)

  • Andrea Appolloni

    (University of Rome Tor Vergata
    Cranfield University)

  • Jiayu Chen

    (Jiyang College, Zhejiang A&F University
    Zhejiang Sci-Tech University)

Abstract

Driving low-carbon green development of the Chinese economy has emerged as a crucial issue in today's business landscape. The advent of corporate digital transformation (CDT) offers fresh possibilities and avenues to accomplish these objectives, presenting new options and opportunities to achieve sustainable growth. Despite the growing importance of CDT in modern business practices, there remains a notable gap in our understanding of how it specifically impacts corporate carbon productivity (CCP). This study systematically examines the impact of CDT on CCP using dynamic panel data from listed companies in the Shanghai and Shenzhen stock markets spanning the period from 2008 to 2021. The research findings reveal the following key insights. First, CDT significantly enhances CCP, as evidenced by consistent results across multiple robustness tests. Second, the impact occurs through mechanisms of green technological innovation, curbing inefficient investments, and mitigating information asymmetry. Third, the impact is more evident in coastal locations, non-state-owned enterprises, organizations with significant finance limitations, and firms with greater excess employee rates. This study innovatively explores the potential mechanisms by which CDT affects CCP. It provides policy inspiration for the Chinese government to guide enterprises to increase CDT efforts and realize low-carbon green development.

Suggested Citation

  • Tianchu Feng & Andrea Appolloni & Jiayu Chen, 2024. "How does corporate digital transformation affect carbon productivity? Evidence from Chinese listed companies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(12), pages 31425-31445, December.
  • Handle: RePEc:spr:endesu:v:26:y:2024:i:12:d:10.1007_s10668-024-04487-8
    DOI: 10.1007/s10668-024-04487-8
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    References listed on IDEAS

    as
    1. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    2. 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).
    3. Adriana Neligan & Rupert J. Baumgartner & Martin Geissdoerfer & Josef‐Peter Schöggl, 2023. "Circular disruption: Digitalisation as a driver of circular economy business models," Business Strategy and the Environment, Wiley Blackwell, vol. 32(3), pages 1175-1188, March.
    4. Jung, Hail & Lee, Junyoup & Song, Chang-Keun, 2023. "Carbon productivity and volatility," Finance Research Letters, Elsevier, vol. 56(C).
    5. 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.
    6. Xian Zhao & Yiting Dong & Xinshu Gong, 2022. "The Digital Economy and Carbon Productivity: Evidence at China’s City Level," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    7. Wu, Keping & Fu, Yumei & Kong, Dongmin, 2022. "Does the digital transformation of enterprises affect stock price crash risk?," Finance Research Letters, Elsevier, vol. 48(C).
    8. Paul Goldsmith-Pinkham & Isaac Sorkin & Henry Swift, 2020. "Bartik Instruments: What, When, Why, and How," American Economic Review, American Economic Association, vol. 110(8), pages 2586-2624, August.
    9. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    10. Hsiao, Shu-Hua, 2014. "PTE, innovation capital and firm value interactions in the biotech medical industry," Journal of Business Research, Elsevier, vol. 67(12), pages 2636-2644.
    11. Wang, Xueqin & Wong, Yiik Diew & Chen, Tianyi & Yuen, Kum Fai, 2022. "An investigation of technology-dependent shopping in the pandemic era: Integrating response efficacy and identity expressiveness into theory of planned behaviour," Journal of Business Research, Elsevier, vol. 142(C), pages 1053-1067.
    12. Ghosh, Swapan & Hughes, Mat & Hodgkinson, Ian & Hughes, Paul, 2022. "Digital transformation of industrial businesses: A dynamic capability approach," Technovation, Elsevier, vol. 113(C).
    13. 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).
    14. Lin William Cong & Haoyu Gao & Jacopo Ponticelli & Xiaoguang Yang, 2019. "Credit Allocation Under Economic Stimulus: Evidence from China," The Review of Financial Studies, Society for Financial Studies, vol. 32(9), pages 3412-3460.
    15. Thorsten Koch & Josef Windsperger, 2017. "Seeing through the network: Competitive advantage in the digital economy," Journal of Organization Design, Springer;Organizational Design Community, vol. 6(1), pages 1-30, December.
    16. Tian, Meng & Chen, Yang & Tian, Guanghao & Huang, Wei & Hu, Chuan, 2023. "The role of digital transformation practices in the operations improvement in manufacturing firms: A practice-based view," International Journal of Production Economics, Elsevier, vol. 262(C).
    17. Niu, Yuhao & Wang, Sai & Wen, Wen & Li, Sifei, 2023. "Does digital transformation speed up dynamic capital structure adjustment? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    18. Jiang, Liangliang & Lin, Chen & Lin, Ping, 2014. "The determinants of pollution levels: Firm-level evidence from Chinese manufacturing," Journal of Comparative Economics, Elsevier, vol. 42(1), pages 118-142.
    19. Gao, Da & Li, Ge & Yu, Jiyu, 2022. "Does digitization improve green total factor energy efficiency? Evidence from Chinese 213 cities," Energy, Elsevier, vol. 247(C).
    20. 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.
    21. 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.
    22. Li, Lei & Lin, Jiabao & Ouyang, Ye & Luo, Xin (Robert), 2022. "Evaluating the impact of big data analytics usage on the decision-making quality of organizations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    23. Matarazzo, Michela & Penco, Lara & Profumo, Giorgia & Quaglia, Roberto, 2021. "Digital transformation and customer value creation in Made in Italy SMEs: A dynamic capabilities perspective," Journal of Business Research, Elsevier, vol. 123(C), pages 642-656.
    24. Wu, Haitao & Xue, Yan & Hao, Yu & Ren, Siyu, 2021. "How does internet development affect energy-saving and emission reduction? Evidence from China," Energy Economics, Elsevier, vol. 103(C).
    25. Cheng, Yiran & Zhou, Xiaorui & Li, Yongjian, 2023. "The effect of digital transformation on real economy enterprises’ total factor productivity," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 488-501.
    26. Chen, Hanyi & Liu, Kui & Shi, Tie & Wang, Linfeng, 2022. "Coal consumption and economic growth: A Chinese city-level study," Energy Economics, Elsevier, vol. 109(C).
    27. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
    28. Magdalena Rusch & Josef‐Peter Schöggl & Rupert J. Baumgartner, 2023. "Application of digital technologies for sustainable product management in a circular economy: A review," Business Strategy and the Environment, Wiley Blackwell, vol. 32(3), pages 1159-1174, March.
    29. Li, Zhenghui & Huang, Zimei & Su, Yaya, 2023. "New media environment, environmental regulation and corporate green technology innovation:Evidence from China," Energy Economics, Elsevier, vol. 119(C).
    30. Battistoni, Elisa & Gitto, Simone & Murgia, Gianluca & Campisi, Domenico, 2023. "Adoption paths of digital transformation in manufacturing SME," International Journal of Production Economics, Elsevier, vol. 255(C).
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