IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v293y2024ics0360544224004547.html

Can digital technology innovation promote total factor energy efficiency? Firm-level evidence from China

Author

Listed:
  • Lu, Juan
  • Li, He

Abstract

The study is based on panel data of listed manufacturing companies from 2010 to 2022, identifies digital technology innovation (DGTI) by using patent data, uses two-step stochastic frontier with Shepard energy distance function to measure total factor energy efficiency (TFE), and analyzes the impact of DGTI on TFE. Research has found that the larger the scale of DGTI, the more conducive it is to TFE. DGTI can also promote TFE by improving environmental responsibility fulfillment and internal control quality, while, DGTI may hinder TFE by increasing operating costs. In the heterogeneity, DGTI has a stronger promoting effect on the TFE of large-scale firms and state-owned firms. In the central and western regions, DGTI has a U-shaped effect that first inhibits and then promotes TFE. Moreover, intellectual property protection, information infrastructure, and digital industry agglomeration will all promote the positive impact of DGTI on TFE. This study aims to provide implications for improving energy efficiency and promoting digital technology research and development.

Suggested Citation

  • Lu, Juan & Li, He, 2024. "Can digital technology innovation promote total factor energy efficiency? Firm-level evidence from China," Energy, Elsevier, vol. 293(C).
  • Handle: RePEc:eee:energy:v:293:y:2024:i:c:s0360544224004547
    DOI: 10.1016/j.energy.2024.130682
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224004547
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.130682?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Li, Mengjie & Du, Weijian, 2021. "Can Internet development improve the energy efficiency of firms: Empirical evidence from China," Energy, Elsevier, vol. 237(C).
    2. Huang, Qiongyu & Fang, Jiali & Xue, Xiaolong & Gao, Hongming, 2023. "Does digital innovation cause better ESG performance? an empirical test of a-listed firms in China," Research in International Business and Finance, Elsevier, vol. 66(C).
    3. Xiang Ma & Young-Seok Ock & Fengpei Wu & Zhenyang Zhang, 2022. "The Effect of Internal Control on Green Innovation: Corporate Environmental Investment as a Mediator," Sustainability, MDPI, vol. 14(3), pages 1-19, February.
    4. Yuan, Sai & Zhou, Ran & Li, Mengna & Lv, Chengchao, 2023. "Investigating the influence of digital technology application on employee compensation," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    5. 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).
    6. 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).
    7. Zhou, P. & Ang, B.W. & Zhou, D.Q., 2012. "Measuring economy-wide energy efficiency performance: A parametric frontier approach," Applied Energy, Elsevier, vol. 90(1), pages 196-200.
    8. Dragone, Davide & Lambertini, Luca & Palestini, Arsen, 2022. "Emission taxation, green innovations and inverted-U aggregate R&D efforts in a linear state differential game," Research in Economics, Elsevier, vol. 76(1), pages 62-68.
    9. Zuoren Sun & Yi Liu & Lifeng Wu, 2021. "Does Industrial Agglomeration Promote Carbon Efficiency? A Spatial Econometric Analysis and Fractional-Order Grey Forecasting," Journal of Mathematics, Hindawi, vol. 2021, pages 1-18, July.
    10. 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).
    11. Lu, Juan & Li, He, 2024. "The impact of ESG ratings on low carbon investment: Evidence from renewable energy companies," Renewable Energy, Elsevier, vol. 223(C).
    12. Kalantzis, Fotios & Niczyporuk, Hanna, 2022. "Labour productivity improvements from energy efficiency investments: The experience of European firms," Energy, Elsevier, vol. 252(C).
    13. Chen, Maozhi & Sinha, Avik & Hu, Kexiang & Shah, Muhammad Ibrahim, 2021. "Impact of technological innovation on energy efficiency in industry 4.0 era: Moderation of shadow economy in sustainable development," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    14. Bai, Ling & Guo, Tianran & Xu, Wei & Liu, Yaobin & Kuang, Ming & Jiang, Lei, 2023. "Effects of digital economy on carbon emission intensity in Chinese cities: A life-cycle theory and the application of non-linear spatial panel smooth transition threshold model," Energy Policy, Elsevier, vol. 183(C).
    15. Lu, Juan & Li, He & Guo, Feiyu, 2024. "Low-carbon mergers and acquisitions as a driver for higher energy efficiency: Evidence from China's high energy-consuming companies," Energy, Elsevier, vol. 290(C).
    16. Nucci, Francesco & Puccioni, Chiara & Ricchi, Ottavio, 2023. "Digital technologies and productivity: A firm-level investigation," Economic Modelling, Elsevier, vol. 128(C).
    17. Yu Hao & Yunxia Guo & Haitao Wu, 2022. "The role of information and communication technology on green total factor energy efficiency: Does environmental regulation work?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(1), pages 403-424, January.
    18. Zi‐Lin He & Tony W. Tong & Yuchen Zhang & Wenlong He, 2018. "Constructing a Chinese Patent Database of listed firms in China: Descriptions, lessons, and insights," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(3), pages 579-606, September.
    19. Haini, Hazwan, 2021. "Examining the impact of ICT, human capital and carbon emissions: Evidence from the ASEAN economies," International Economics, Elsevier, vol. 166(C), pages 116-125.
    20. Saia, Artjom, 2023. "Digitalization and CO2 emissions: Dynamics under R&D and technology innovation regimes," Technology in Society, Elsevier, vol. 74(C).
    21. Li, He & Lu, Juan, 2023. "Can low-carbon mergers and acquisitions reduce carbon emissions? Evidence from China's energy companies," Energy, Elsevier, vol. 283(C).
    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. Li, He, 2025. "The effect of digital technology innovation on low carbon investment in renewable energy enterprises," Renewable Energy, Elsevier, vol. 239(C).
    2. 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).
    3. Qiong Xu & Xin Li & Fei Guo, 2023. "Digital transformation and environmental performance: Evidence from Chinese resource‐based enterprises," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(4), pages 1816-1840, July.
    4. Jing, Peng & Li, Shuohan & Wang, Minglu, 2025. "Digital empowerment, industry chain integration and corporate energy efficiency," Energy Economics, Elsevier, vol. 145(C).
    5. Lyu, Yanwei & Zhang, Jinning & Wang, Wenqiang & Li, Yutao & Geng, Yong, 2024. "Toward low carbon development through digital economy: A new perspective of factor market distortion," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    6. Jia, Shanghui & Chen, Xinhui & Jin, Jiayu, 2024. "Digital disruption and energy efficiency: The impact of regional digitalization on China's industrial sector," Energy, Elsevier, vol. 300(C).
    7. Xu, Qiong & Zhong, Meirui & Li, Xin, 2022. "How does digitalization affect energy? International evidence," Energy Economics, Elsevier, vol. 107(C).
    8. Wang, Lianghu & Shao, Jun, 2023. "Digital economy, entrepreneurship and energy efficiency," Energy, Elsevier, vol. 269(C).
    9. 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.
    10. 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).
    11. Senhua Huang & Lingming Chen, 2023. "The Impact of the Digital Economy on the Urban Total-Factor Energy Efficiency: Evidence from 275 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    12. Wang, Ke-Liang & Sun, Ting-Ting & Xu, Ru-Yu & Miao, Zhuang & Cheng, Yun-He, 2022. "How does internet development promote urban green innovation efficiency? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    13. Jia, Zhen & Li, He & Lu, Juan & Zhang, Yalong, 2024. "Can issuing carbon neutral bonds promote low-carbon investment in renewable energy industry?," Renewable Energy, Elsevier, vol. 234(C).
    14. 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).
    15. Huifang E & Shuangjie Li & Liming Wang & Huidan Xue, 2023. "The Impact of ICT Capital Services on Economic Growth and Energy Efficiency in China," Energies, MDPI, vol. 16(9), pages 1-21, May.
    16. Shao, Jun & Wang, Lianghu, 2023. "Can new-type urbanization improve the green total factor energy efficiency? Evidence from China," Energy, Elsevier, vol. 262(PB).
    17. Peng, Hui & Lu, Yaobin & Wang, Qunwei, 2023. "How does heterogeneous industrial agglomeration affect the total factor energy efficiency of China's digital economy," Energy, Elsevier, vol. 268(C).
    18. Di Wang & Wei Dou & Jiajun Ning, 2025. "Can new infrastructure construction facilitate low-carbon energy transition? A quasi-natural experiment based on China’s smart city pilots," Economic Change and Restructuring, Springer, vol. 58(2), pages 1-35, April.
    19. Wang, Jin & Ye, Bin & He, Zhaoxuan & Pu, Hongjiang & Su, Bin & Lu, Yaqi, 2026. "Does green finance ensure energy security while achieving low-carbon transformation of listed electricity firms? Evidence from China," Energy Economics, Elsevier, vol. 153(C).
    20. Wu, Haitao & Wang, Bingjie & Lu, Mingyue & Irfan, Muhammad & Miao, Xin & Luo, Shiyue & Hao, Yu, 2023. "The strategy to achieve zero‑carbon in agricultural sector: Does digitalization matter under the background of COP26 targets?," Energy Economics, Elsevier, vol. 126(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:energy:v:293:y:2024:i:c:s0360544224004547. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.