IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i9p4113-d1648055.html
   My bibliography  Save this article

Unleashing the Power of Digital Transformation: Boosting Green Total Factor Productivity in China’s Energy Enterprises

Author

Listed:
  • Tiantian Ning

    (School of Marxism, Qingdao University, Qingdao 266071, China)

  • Kai-Hua Wang

    (School of Economics, Qingdao University, Qingdao 266071, China
    Faculty of Finance, City University of Macau, Macao 999078, China
    Doctoral School of Economics and Business Administration, Faculty of Economics and Business Administration, West University of Timisoara, 300223 Timisoara, Romania)

  • Hong-Wen Liu

    (Department of Humanities & Tourism, Rizhao Polytechnic, Rizhao 276800, China)

Abstract

This study examines the influence of digital transformation (DT) on green total factor productivity (GTFP) for A-share-listed energy enterprises from 2013 to 2022. The study findings demonstrate that DT can be advantageous in improving GTFP, and this conclusion remains valid even after performing the endogeneity treatment and the robustness test. The mechanism test suggests that improving green technology innovation and alleviating financing constraints are significant transmission paths. The heterogeneity analysis’ findings show that state-owned enterprises, large-scale enterprises, and new energy enterprises benefit more significantly from DT’s favorable efficacy in improving GTFP. By focusing on energy enterprises, this study expands upon the prior research on digital transformation in the micro field. Moreover, this study reveals the critical path of digital transformation in enhancing GTFP, thus enriching its theoretical connection. GTFP will be enhanced by the joint development of digital facilities by enterprises and the government, as well as using distinct digital strategies.

Suggested Citation

  • Tiantian Ning & Kai-Hua Wang & Hong-Wen Liu, 2025. "Unleashing the Power of Digital Transformation: Boosting Green Total Factor Productivity in China’s Energy Enterprises," Sustainability, MDPI, vol. 17(9), pages 1-19, May.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:4113-:d:1648055
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/9/4113/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/9/4113/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ning, Jiajun & Xiong, Lixin, 2024. "Analysis of the dynamic evolution process of the digital transformation of renewable energy enterprises based on the cooperative and evolutionary game model," Energy, Elsevier, vol. 288(C).
    2. Lee, Chien-Chiang & He, Zhi-Wen & Yuan, Zihao, 2023. "A pathway to sustainable development: Digitization and green productivity," Energy Economics, Elsevier, vol. 124(C).
    3. 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).
    4. Yuqiang Gao & Meng Zhang & Kaihua Wang & Fangfang Wen & Fei Liu, 2024. "The Carbon Emissions Reduction Effect of Green Agricultural Subsidy Policy: A Quasi-Natural Experiment," Sustainability, MDPI, vol. 16(12), pages 1-18, June.
    5. Pengyu Chen & Yuanyuan Hao, 2022. "Digital transformation and corporate environmental performance: The moderating role of board characteristics," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(5), pages 1757-1767, September.
    6. Chang, Lei & Taghizadeh-Hesary, Farhad & Mohsin, Muhammad, 2023. "Role of artificial intelligence on green economic development: Joint determinates of natural resources and green total factor productivity," Resources Policy, Elsevier, vol. 82(C).
    7. Anissa Nurdiawati & Frauke Urban, 2021. "Towards Deep Decarbonisation of Energy-Intensive Industries: A Review of Current Status, Technologies and Policies," Energies, MDPI, vol. 14(9), pages 1-33, April.
    8. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    9. Qin, Meng & Hu, Wei & Qi, Xinzhou & Chang, Tsangyao, 2024. "Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy," Energy Economics, Elsevier, vol. 131(C).
    10. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    11. Li, Xiang & Lepour, Dorsan & Heymann, Fabian & Maréchal, François, 2023. "Electrification and digitalization effects on sectoral energy demand and consumption: A prospective study towards 2050," Energy, Elsevier, vol. 279(C).
    12. Li, Juan & Ma, Shaoqi & Qu, Yi & Wang, Jiamin, 2023. "The impact of artificial intelligence on firms’ energy and resource efficiency: Empirical evidence from China," Resources Policy, Elsevier, vol. 82(C).
    13. 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.
    14. Lin, Boqiang & Xie, Yongjing, 2023. "Does digital transformation improve the operational efficiency of Chinese power enterprises?," Utilities Policy, Elsevier, vol. 82(C).
    15. Charles J. Hadlock & Joshua R. Pierce, 2010. "New Evidence on Measuring Financial Constraints: Moving Beyond the KZ Index," The Review of Financial Studies, Society for Financial Studies, vol. 23(5), pages 1909-1940.
    16. Tang, Maogang & Liu, Yinlin & Hu, Fengxia & Wu, Baijun, 2023. "Effect of digital transformation on enterprises' green innovation: Empirical evidence from listed companies in China," Energy Economics, Elsevier, vol. 128(C).
    17. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
    18. Guo, Yunxia & Yu, Mengyao & Xu, Mingchen & Tang, Ying & Huang, Jingran & Liu, Jia & Hao, Yu, 2023. "Productivity gains from green finance: A holistic and regional examination from China," Energy Economics, Elsevier, vol. 127(PA).
    19. Li, Yanxi & Yu, Conghui & Shi, Jinyan & Liu, Yuanyuan, 2023. "How does green bond issuance affect total factor productivity? Evidence from Chinese listed enterprises," Energy Economics, Elsevier, vol. 123(C).
    20. Chwiłkowska-Kubala, Anna & Cyfert, Szymon & Malewska, Kamila & Mierzejewska, Katarzyna & Szumowski, Witold, 2023. "The impact of resources on digital transformation in energy sector companies. The role of readiness for digital transformation," Technology in Society, Elsevier, vol. 74(C).
    21. Hua Zhang & Qiwang Zhang, 2023. "How Does Digital Transformation Facilitate Enterprise Total Factor Productivity? The Multiple Mediators of Supplier Concentration and Customer Concentration," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    Full references (including those not matched with items on IDEAS)

    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. Xu, Ru-Yu & Wang, Ke-Liang & Miao, Zhuang, 2024. "The impact of digital technology innovation on green total-factor energy efficiency in China: Does economic development matter?," Energy Policy, Elsevier, vol. 194(C).
    2. 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.
    3. Lin, Boqiang & Xie, Yongjing, 2024. "How feed-in-tariff subsidies affect renewable energy investments in China? New evidence from firm-level data," Energy, Elsevier, vol. 294(C).
    4. Ge, Shilong & Luo, Xiaodan & Li, Yuangang & Zheng, Lanxing, 2024. "The impact of green credit policy on total factor productivity of enterprises," International Review of Economics & Finance, Elsevier, vol. 95(C).
    5. Shi, Peihao & Huang, Qinghua, 2025. "Alignment of words and actions? Government environmental attention and enterprise digital transformation," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    6. Huang, Chenchen & Min Du, Anna & Lin, Boqiang, 2025. "How does the digital economy affect the green transition: The role of industrial intelligence and E-commerce," Research in International Business and Finance, Elsevier, vol. 73(PA).
    7. Ai, Mingye & Zhang, Wei & Du, Shurong & Yu, Xiaohan & Bu, Yan, 2024. "The impact of digitalization on the green transformation of China's industrial sectors: The mediating role of green technology innovation and technological transformation," International Review of Economics & Finance, Elsevier, vol. 96(PC).
    8. Charfeddine, Lanouar & Umlai, Mohamed, 2023. "ICT sector, digitization and environmental sustainability: A systematic review of the literature from 2000 to 2022," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    9. Qin, Quande & Li, Xin & Li, Li & Zhen, Wei & Wei, Yi-Ming, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas," Applied Energy, Elsevier, vol. 185(P1), pages 604-614.
    10. Malewska, Kamila & Cyfert, Szymon & Chwiłkowska-Kubala, Anna & Mierzejewska, Katrzyna & Szumowski, Witold, 2024. "The missing link between digital transformation and business model innovation in energy SMEs: The role of digital organisational culture," Energy Policy, Elsevier, vol. 192(C).
    11. Fu, Shuke & Ge, Yingchen & Hao, Yu & Peng, Jiachao & Tian, Jiali, 2024. "Energy supply chain efficiency in the digital era: Evidence from China's listed companies," Energy Economics, Elsevier, vol. 134(C).
    12. Xiujin Guo & Zhengming Wang, 2024. "How does the digital economy affect the green development of China’s industry?," PLOS ONE, Public Library of Science, vol. 19(9), pages 1-21, September.
    13. Manal Elhaj & Jihen Bousrih & Hind Alofaysan, 2024. "Can Technological Advancement Empower the Future of Renewable Energy? A Panel Autoregressive Distributed Lag Approach," Energies, MDPI, vol. 17(20), pages 1-18, October.
    14. Wang, Weilong & Wang, Jianlong & Wu, Haitao, 2024. "The impact of energy-consuming rights trading on green total factor productivity in the context of digital economy: Evidence from listed firms in China," Energy Economics, Elsevier, vol. 131(C).
    15. Yang, Jun & Yang, Dingjian & Cheng, Jixin, 2024. "The non-rivalry of data, directed technical change and the environment: A theoretical study incorporating data as a production factor," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 417-448.
    16. Liting Fang & Zhaohua Li, 2024. "Corporate digitalization and green innovation: Evidence from textual analysis of firm annual reports and corporate green patent data in China," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 3936-3964, July.
    17. Yang, Haiyan & Chen, Linlin & Zhang, Yuyu, 2024. "Political conformity and digital transformation: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 1979-1997.
    18. Feng, Yaxin & Li, Yanhong & Lin, Tiantian, 2024. "Digital transformation whitewashing and financing constraints," Finance Research Letters, Elsevier, vol. 69(PB).
    19. Huo, Da & Gu, Wenjia & Guo, Dongmei & Tang, Aidi, 2024. "The service trade with AI and energy efficiency: Multiplier effect of the digital economy in a green city by using quantum computation based on QUBO modeling," Energy Economics, Elsevier, vol. 140(C).
    20. Xiaoling Wang & Yiting Han & Baofeng Shi & Mohammad Zoynul Abedin, 2025. "The impacts of green credit guidelines on total factor productivity of heavy-polluting enterprises: A quasi-natural experiment from China," Annals of Operations Research, Springer, vol. 347(1), pages 41-68, April.

    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:jsusta:v:17:y:2025:i:9:p:4113-:d:1648055. 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.