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Can data assets promote green innovation in enterprises?

Author

Listed:
  • Zhang, Jun
  • Xie, Tangkun
  • Kong, Xiaoran
  • Liu, Bo
  • Zhang, Wenke

Abstract

This study found that the more data assets held by a company, the higher its level of green innovation. This result was still significant after the instrumental variable method, exogenous policy shock mitigation endogeneity and a series of robustness tests. Data assets promote green innovation by alleviating the constraints on corporate financing and increasing the efficiency of green research and development. Further analysis showed that data assets could continuously increase the level of green innovation and promote enterprises to choose to apply for green invention patents. This study provides useful insights for identifying and utilizing the value of data resources.

Suggested Citation

  • Zhang, Jun & Xie, Tangkun & Kong, Xiaoran & Liu, Bo & Zhang, Wenke, 2025. "Can data assets promote green innovation in enterprises?," Finance Research Letters, Elsevier, vol. 72(C).
  • Handle: RePEc:eee:finlet:v:72:y:2025:i:c:s1544612324015836
    DOI: 10.1016/j.frl.2024.106554
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    References listed on IDEAS

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    1. Changyu Hu & Yuetong Li & Xiaojia Zheng, 2022. "Data assets, information uses, and operational efficiency," Applied Economics, Taylor & Francis Journals, vol. 54(60), pages 6887-6900, December.
    2. Qiang Lu & Yang Deng & Xinyi Wang & Aiping Wang, 2023. "The impact of China's green credit policy on enterprise digital innovation: evidence from heavily-polluting Chinese listed companies," China Finance Review International, Emerald Group Publishing Limited, vol. 14(1), pages 103-121, August.
    3. Wang, Juxian & Ma, Mengdi & Dong, Tianyi & Zhang, Zheyuan, 2023. "Do ESG ratings promote corporate green innovation? A quasi-natural experiment based on SynTao Green Finance's ESG ratings," International Review of Financial Analysis, Elsevier, vol. 87(C).
    4. Han, Yingwei & Li, Jie, 2022. "Should investors include green bonds in their portfolios? Evidence for the USA and Europe," International Review of Financial Analysis, Elsevier, vol. 80(C).
    5. Wang, Haijun & Mao, Kunyuan & Wu, Wanting & Luo, Haohan, 2023. "Fintech inputs, non-performing loans risk reduction and bank performance improvement," International Review of Financial Analysis, Elsevier, vol. 90(C).
    6. Chong, Terence Tai-Leung & Lu, Liping & Ongena, Steven, 2013. "Does banking competition alleviate or worsen credit constraints faced by small- and medium-sized enterprises? Evidence from China," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3412-3424.
    7. Xiang, Xiaojian & Liu, Chuanjiang & Yang, Mian, 2022. "Who is financing corporate green innovation?," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 321-337.
    8. Mingzhe Yu & Qiang Zhou & Mui Yee Cheok & Jakub Kubiczek & Nadeem Iqbal, 2022. "Does green finance improve energy efficiency? New evidence from developing and developed economies," Economic Change and Restructuring, Springer, vol. 55(1), pages 485-509, February.
    9. Wang, Haijun & Jiao, Shuaipeng & Ge, Chen & Sun, Guanglin, 2024. "Corporate ESG rating divergence and excess stock returns," Energy Economics, Elsevier, vol. 129(C).
    10. Xu, Dandan & Guo, Dongli & Yue, Pengpeng & Li, Mengshi, 2024. "Household green consumption: Does digital inclusion matter?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    11. Triguero, Ángela & Córcoles, David, 2013. "Understanding innovation: An analysis of persistence for Spanish manufacturing firms," Research Policy, Elsevier, vol. 42(2), pages 340-352.
    12. Xu, Guiyang & Li, Guanggui & Sun, Peibo & Peng, Dan, 2023. "Inefficient investment and digital transformation: What is the role of financing constraints?," Finance Research Letters, Elsevier, vol. 51(C).
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