How big data development influences enterprise green technology innovation? The moderating role of digital inclusive finance
Abstract
Existing research thoroughly discussed the dividend effect of big data development (BDD), but few analyses have been conducted from a micro perspective of enterprises’ green development. With the exogenous policy shock of the National Big Data Comprehensive Pilot Zone, this study takes Chinese A-share listed companies as the research objects. We adopt the difference-in-differences model to systematically assess the impact of BDD on enterprise green technology innovation (GTI) and the moderating role played by digital inclusive finance (DIF) between the two. The study reveals that BDD significantly contributes to enterprise GTI. Furthermore, the facilitating effect of BDD on GTI is more significant in large enterprises, state-owned enterprises, enterprises with higher degrees of local government data openness, and enterprises with higher levels of the real economy. The moderating effect test shows that DIF significantly moderates BDD and enterprise GTI. Mechanism tests show that BDD promotes enterprise GTI through three channels: strengthening regional environmental regulation, alleviating enterprise financing constraints, and enhancing enterprise human capital. This paper provides valuable ideas for emerging economies planning to promote sustainable growth through BDD policies.
First published online 15 April 2025
Keyword : big data development, green technology innovation, digital inclusive finance, National Big Data Comprehensive Pilot Zone, difference-in-differences model
How to Cite
Cheng, K., & Liu, S. (2025). How big data development influences enterprise green technology innovation? The moderating role of digital inclusive finance. Technological and Economic Development of Economy, 1-29. https://doi.org/10.3846/tede.2025.23532
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Gan, C., Yu, J., Zhao, W., & Fan, Y. (2023). Big data industry development and carbon dioxide emissions: A quasi-natural experiment. Journal of Cleaner Production, 422, Article 138590. https://doi.org/10.1016/j.jclepro.2023.138590
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Johnson, J. S., Friend, S. B., & Lee, H. S. (2017). Big data facilitation, utilization, and monetization: Exploring the 3Vs in a new product development process. Journal of Product Innovation Management, 34(5), 640–658. https://doi.org/10.1111/jpim.12397
Jum’a, L., Zimon, D., & Madzik, P. (2023). Impact of big data technological and personal capabilities on sustainable performance on Jordanian manufacturing companies: The mediating role of innovation. Journal of Enterprise Information Management, 37(2), 329–354. https://doi.org/10.1108/JEIM-09-2022-0323
Khan, M. A., Siddiqui, M. S., Rahmani, M. K. I., & Husain, S. (2022). Investigation of big data analytics for sustainable smart city development: An emerging country. IEEE Access, 10, 16028–16036. https://doi.org/10.1109/ACCESS.2021.3115987
Li, D., Zhao, Y., Zhang, L., Chen, X., & Cao, C. (2018). Impact of quality management on green innovation. Journal of Cleaner Production, 170, 462–470. https://doi.org/10.1016/j.jclepro.2017.09.158
Lichy, J., Kachour, M., & Khvatova, T. (2017). Big Data is watching YOU: opportunities and challenges from the perspective of young adult consumers in Russia. Journal of Marketing Management, 33(9–10), 719–741. https://doi.org/10.1080/0267257X.2017.1313301
Lin, C., & Kunnathur, A. (2019). Strategic orientations, developmental culture, and big data capability. Journal of Business Research, 105, 49–60. https://doi.org/10.1016/j.jbusres.2019.07.016
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