IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i17p4626-d1738458.html
   My bibliography  Save this article

The Impact of Government Open Data on Firms’ Energy Efficiency: Analyse the Mediating Role of Capacity Utilization and Biased Technological Progress

Author

Listed:
  • Ya Su

    (School of Economics and Management, Nanchang University, Nanchang 330031, China)

  • Diyun Peng

    (School of Economics and Management, Nanchang University, Nanchang 330031, China)

  • Yafei Wang

    (School of Economics and Management, Chongqing Normal University, Chongqing 401331, China)

  • Zhixiong Tan

    (School of Public Policy and Administration, Chongqing University, Chongqing 400044, China)

Abstract

As a new type of production factor, releasing data dividends is of great significance in improving corporate energy efficiency. Based on the data of listed enterprises in China from 2011 to 2022, the establishment of government open data platforms in each prefecture-level city is taken as a policy shock event, and the impact of government open data on corporate energy efficiency is empirically examined through a multi-period DID model. The results show that government open data improves enterprise energy efficiency by approximately 2.5% (relative to the mean), and capacity utilization and biased technological progress are the main pathways of action. In addition, the application of big data technology can better fulfill the role of data factors in improving enterprise energy efficiency. Heterogeneity analysis finds that government open data has a stronger effect on enterprise energy efficiency improvement in areas with high manufacturing concentration, environmental tax rate leveling, and high Internet penetration. The study suggests that enterprises should apply big data technology and build a mechanism for integrating data assets and energy management so as to fulfill the important role of data elements in the green development of enterprises.

Suggested Citation

  • Ya Su & Diyun Peng & Yafei Wang & Zhixiong Tan, 2025. "The Impact of Government Open Data on Firms’ Energy Efficiency: Analyse the Mediating Role of Capacity Utilization and Biased Technological Progress," Energies, MDPI, vol. 18(17), pages 1-20, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:17:p:4626-:d:1738458
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/17/4626/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/17/4626/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Binlei Gong, 2020. "New Growth Accounting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 641-661, March.
    2. See, Kok Fong & Rashid, Azwan Abdul & Yu, Ming-Miin, 2024. "Measuring the network capacity utilization, energy consumption and environmental inefficiency of global airlines," Energy Economics, Elsevier, vol. 132(C).
    3. Lu, Juan & Li, He, 2024. "Can digital technology innovation promote total factor energy efficiency? Firm-level evidence from China," Energy, Elsevier, vol. 293(C).
    4. Huang, Tai-Hsin & Chiang, Dien-Lin & Tsai, Chao-Min, 2015. "Applying the New Metafrontier Directional Distance Function to Compare Banking Efficiencies in Central and Eastern European Countries," Economic Modelling, Elsevier, vol. 44(C), pages 188-199.
    5. Wang, Dingqing & Liao, Hongwei & Liu, Aiguo & Li, Dongdong, 2023. "Natural resource saving effects of data factor marketization: Implications for green recovery," Resources Policy, Elsevier, vol. 85(PA).
    6. Ma, Shuaiyin & Zhang, Yingfeng & Lv, Jingxiang & Ge, Yuntian & Yang, Haidong & Li, Lin, 2020. "Big data driven predictive production planning for energy-intensive manufacturing industries," Energy, Elsevier, vol. 211(C).
    7. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    8. Chun-Hsien Chen & Gang Chen & Junliang He & Devika Kannan, 2024. "Big data for logistics decarbonization," Annals of Operations Research, Springer, vol. 343(3), pages 923-925, December.
    9. Suling Feng & Yiwei Mao & Guoxiang Li & Junhong Bai, 2025. "Enterprise digital transformation, biased technological progress and carbon total factor productivity," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 68(1), pages 154-184, January.
    10. Hao Zhang & Ye Liang & Hao Zhang & Jing Wang & Yuanzhuo Li & Xiaorui Rong & Hongda Gao, 2025. "Data Value-Added Service Comprehensive Evaluation Method on the Performance of Power System Big Data," Energies, MDPI, vol. 18(3), pages 1-26, February.
    11. Allen C. Kelley & Jeffery G. Williamson & Russell J. Cheetham, 1972. "Biased Technological Progress and Labor Force Growth in a Dualistic Economy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 86(3), pages 426-447.
    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. Wang, Yafei & Shi, Ming & Zhao, Zihan & Liu, Junnan & Zhang, Shiqiu, 2025. "How does green finance improve the total factor energy efficiency? Capturing the mediating role of green management innovation and embodied technological progress," Energy Economics, Elsevier, vol. 142(C).
    2. Bas Scheer & Wiljan van den Berge & Maarten Goos & Alan Manning & Anna Salomons, 2022. "Alternative Work Arrangements and Worker Outcomes: Evidence from Payrolling," CPB Discussion Paper 435, CPB Netherlands Bureau for Economic Policy Analysis.
    3. Katrin Huber & Geske Rolvering, 2023. "Public child care and mothers’ career trajectories," Working Papers 228, Bavarian Graduate Program in Economics (BGPE).
    4. Alex Hollingsworth & Krzysztof Karbownik & Melissa A. Thomasson & Anthony Wray, 2024. "The Gift of a Lifetime: The Hospital, Modern Medicine, and Mortality," American Economic Review, American Economic Association, vol. 114(7), pages 2201-2238, July.
    5. Debdatta Pal & Subrata K. Mitra, 2018. "The efficiency of microfinance institutions with problem loans: A directional distance function approach," Computational and Mathematical Organization Theory, Springer, vol. 24(3), pages 285-307, September.
    6. Bergvall, Sanna & Fernström, Clara & Ranehill, Eva & Sandberg, Anna, 2024. "The Impact of PhD Studies on Mental Health—A Longitudinal Population Study," Working Papers in Economics 846, University of Gothenburg, Department of Economics.
    7. Wirat Krasachat & Suthathip Yaisawarng, 2021. "Directional Distance Function Technical Efficiency of Chili Production in Thailand," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    8. Jones, Kelly & Wilcher, Britni, 2024. "Reducing maternal labor market detachment: A role for paid family leave," Labour Economics, Elsevier, vol. 87(C).
    9. Bhalotra, Sonia & Clarke, Damian & Mühlrad, Hanna & Palme, Mårten, 2021. "Health and Labor Market Impacts of Twin Birth : Evidence from a Swedish IVF Policy Mandate," The Warwick Economics Research Paper Series (TWERPS) 1391, University of Warwick, Department of Economics.
    10. Cucu, Florin, 2025. "Roads, internal migration and the spatial sorting of U.S. high-skill workers," Journal of Urban Economics, Elsevier, vol. 146(C).
    11. Federica Alfani & Vasco Molini & Giacomo Pallante & Alessandro PalmaGran, 2024. "Job displacement and reallocation failure. Evidence from climate shocks in Morocco," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 51(1), pages 1-31.
    12. Owen Fleming & Lilly Springer, 2025. "The Spillover Effects of Nurse Practitioner Scope of Practice Expansions on Safety Net Program Participation: Evidence from WIC," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202506, University of Kansas, Department of Economics, revised Mar 2025.
    13. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    14. Guignet, Dennis & Jenkins, Robin R. & Belke, James & Mason, Henry, 2023. "The property value impacts of industrial chemical accidents," Journal of Environmental Economics and Management, Elsevier, vol. 120(C).
    15. Léa Cimelli, 2023. "Are the widowed too much insured? Survivor’s pensions and living standards upon widowhood in France," Working Papers 279, French Institute for Demographic Studies.
    16. Jack (Peiyao) Ma & Andrea Mantovani & Carlo Reggiani & Annette Broocks & Néstor Duch-Brown, 2024. "The Price Effects of Prohibiting Price Parity Clauses: Evidence from International Hotel Groups," Economics Series Working Papers 1043, University of Oxford, Department of Economics.
    17. Cocco, Valentin & Chakir, Raja & Mouysset, Lauriane, 2025. "Guilty or scapegoat? Land consolidation and hedgerow decline," Journal of Environmental Economics and Management, Elsevier, vol. 133(C).
    18. Luo, Lianfa & Cheng, Zhiming & Ye, Qingqing & Cheng, Yanjun & Smyth, Russell & Yang, Zhiqing & Zhang, Le, 2024. "Nonmonetary awards and innovation: Evidence from winning China's Top Brand Contest," China Economic Review, Elsevier, vol. 86(C).
    19. Baker, Michael & Halberstam, Yosh & Kroft, Kory & Mas, Alexandre & Messacar, Derek, 2024. "The impact of unions on wages in the public sector: Evidence from higher education," CLEF Working Paper Series 67, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    20. Jeff DeSimone & Daniel Grossman & Nicolas Ziebarth, 2023. "Regression Discontinuity Evidence on the Effectiveness of the Minimum Legal E-cigarette Purchasing Age," American Journal of Health Economics, University of Chicago Press, vol. 9(3), pages 461-485.

    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:gam:jeners:v:18:y:2025:i:17:p:4626-:d:1738458. 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.