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The impact of the degree of coupling coordination between green finance and environmental regulations on firms’ innovation performance: evidence from China

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Abstract

Integrating the resource-based view and institution-based view theories, this paper examines the impact of the degree of coupling coordination between green finance and environmental regulations on firms’ innovation performance. Using a sample of 1698 listed firms in China from 2008 to 2017, we find that the degree of coupling coordination between the regional green finance development level and environmental regulations is positively related to firms’ innovation performance. Further, the results show that the degree of state ownership and government governance efficiency strengthen this positive relationship. We deepen our understanding of how environmental institutions coordinate to affect firms’ innovation performance by combining the resource- and institution-based view theories.

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Funding

This work was supported by the Project of China Social Science Foundation (Grant Number 22BJY041), the Project of China National Social Science Foundation (Grant Number 20BJY189), the Project of Zhejiang Provincial Social Science Foundation of China (Grant Number 21NDJC037YB), the Project of Zhejiang Provincial Soft Science Foundation of China (Grant Number 2022C35015), and the Project of China National Social Science Foundation (Grant Number 21BJY054). Zhejiang University of Technology, Humanities and Social Science Basic Research Expenses Project Interdisciplinary Research Project (Grant Number GB202303002).

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Appendices

Appendix 1

Common trend test for the DID analysis

Figure 

Fig. 2
figure 2

Common trend chart

2 shows that the innovation performance of both the experiment and control groups follows a similar trend before Chinese government publishing a series of influential national environmental policies, indicating that the quasi-natural experiment passes the common trend test.

Placebo test for the DID analysis

To test whether the baseline regression results are affected by omitted variables, random factors, and other factors, we conducted a placebo test of a random sampling. We randomly selected 600 firms from the sample pool to form a fictitious experimental group and examined the reliability of the results using the coefficients of the dummy variable of fictitious policies.

The results of the placebo test are consistent with the original DID analysis. To strengthen the effects of the placebo test, the process was repeated 500 times. Figure 

Fig. 3
figure 3

Kernel density diagram of coefficients and corresponding P values

3 presents the distribution of the coefficients of the fictitious policy variables. The figure shows the results of the verification on whether the impact of the policy effect of environmental regulations and green finance on firms’ innovation vitality was interfered with by unobserved factors. As shown in Fig. 3, the coefficients of the independent variables are basically distributed near the value of zero after random processing, which signifies that there are no significant factors omitted in the baseline model. This means that the results of the regression mainly reflect the effects of regional environmental regulations and green finance policies.

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Yang, T., Sun, Z., Du, M. et al. The impact of the degree of coupling coordination between green finance and environmental regulations on firms’ innovation performance: evidence from China. Ann Oper Res (2023). https://doi.org/10.1007/s10479-023-05704-9

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