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Fiscal reform and green innovation: Evidence from China's local debt management reform

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  • Li, Tian
  • Qi, Feng

Abstract

This quasi-natural experimental study examines how China's local government debt management reform affects corporate green innovation. The findings show that the reform significantly promotes green innovation by reducing financial constraints and efficient resource allocation. Mechanism analysis reveals that while higher default risk strengthens the effects of the reform, firms with higher total factor productivity (TFP) benefit more from resource optimization and policy incentives. Heterogeneity analysis shows stronger impacts in regions with less developed markets and firms with high capital density. These findings are confirmed through robustness tests. This study underscores the importance of macroeconomic policies in driving sustainable development and corporate innovation.

Suggested Citation

  • Li, Tian & Qi, Feng, 2025. "Fiscal reform and green innovation: Evidence from China's local debt management reform," Finance Research Letters, Elsevier, vol. 76(C).
    • Handle: RePEc:eee:finlet:v:76:y:2025:i:c:s1544612325002016
    DOI: 10.1016/j.frl.2025.106937
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    References listed on IDEAS

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    1. Irem Guceri & Li Liu, 2019. "Effectiveness of Fiscal Incentives for R&D: Quasi-experimental Evidence," American Economic Journal: Economic Policy, American Economic Association, vol. 11(1), pages 266-291, February.
    2. Blalock, Garrick & Gertler, Paul J., 2004. "Learning from exporting revisited in a less developed setting," Journal of Development Economics, Elsevier, vol. 75(2), pages 397-416, December.
    3. Xin, Ziqiang & Xin, Sufei, 2017. "Marketization process predicts trust decline in China," Journal of Economic Psychology, Elsevier, vol. 62(C), pages 120-129.
    4. 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.
    5. Shao, Yanmin & Chen, Zhongfei, 2022. "Can government subsidies promote the green technology innovation transformation? Evidence from Chinese listed companies," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 716-727.
    6. Lv, Chengchao & Shao, Changhua & Lee, Chien-Chiang, 2021. "Green technology innovation and financial development: Do environmental regulation and innovation output matter?," Energy Economics, Elsevier, vol. 98(C).
    7. Yan Yang & Yingli Zhang, 2022. "The Impact of the Green Credit Policy on the Short-Term and Long-Term Debt Financing of Heavily Polluting Enterprises: Based on PSM-DID Method," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    8. Cunyi Yang & Conghao Zhu & Khaldoon Albitar, 2024. "ESG ratings and green innovation: A U‐shaped journey towards sustainable development," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 4108-4129, July.
    9. Sreedhar T. Bharath & Tyler Shumway, 2008. "Forecasting Default with the Merton Distance to Default Model," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1339-1369, May.
    10. Hao, Xiaoli & Miao, Erxiang & Sun, Qingyu & Li, Ke & Wen, Shufang & Xue, Yan, 2024. "The impact of digital government on corporate green innovation: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    Full references (including those not matched with items on IDEAS)

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