Abstract
Green bonds, a new green financial instrument, encourage enterprises to achieve high-quality development through green technology innovation. However, a lack of research is currently being conducted into the effect of green bond issuance in China. Can green bonds effectively empower enterprises to green innovation? What is the underlying mechanism? In the context of carbon-neutral strategies, it is significant to answer these questions scientifically. This paper uses a quasi-natural experiment of the launch of the green bond market in China in 2016 to conduct empirical studies based on the panel data of 1 558 non-financial Chinese-listed enterprises from 2015 to 2020 with the multi-period difference-in-difference model. The results show that ① issuing green bonds can significantly empower enterprises’ green technology innovation. The empowering effect is mainly for green utility patents rather than green invention patents. This result remains after dynamic heterogeneity analysis, placebo test, and other tests. In addition, the effect has a lag. ② Heterogeneity tests show that this empowerment effect varies across enterprises with different property rights, industries, and regions. ③ In terms of the mechanism of action, green bonds can enhance enterprises’ ability to innovate green technology by increasing the proportion of long-term loans and improving their debt structure. This paper broadens the relevant literature on the economic consequences of green bonds and the influencing factors of enterprises’ green technology innovation and provides policy suggestions for further improving the analysis of green bonds.
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Data availability
Data and materials are available from the authors upon request.
Abbreviations
- CSMAR:
-
China Stock Market & Accounting Research Database
- CSRC:
-
China Securities Regulatory Commission
- ST:
-
special treatment
- Gaptatent:
-
green technology Innovation
- Treat:
-
dummy variable for the treatment group and the control group
- Post:
-
policy time dummy variable
- D:
-
the cross-product term of treat and post
- LDR:
-
the ratio of long-term borrowing to the total debt of the enterprise
- Size:
-
total assets at the end (logarithm)
- Debt:
-
total liabilities/total assets
- Tangibility:
-
net fixed assets/total assets
- ROA:
-
net profit/average total assets
- Growth:
-
operating income growth rate
- Cash:
-
net cash flow from operating activities/total assets
- Top1:
-
percentage of shareholding of the largest shareholder
- Board:
-
number of independent directors/number of board of directors
- Age:
-
years of business establishment (logarithm)
- Employee:
-
number of employees (logarithm)
- Tobin’s q:
-
corporate Tobin’s Q
- i:
-
enterprise
- t:
-
year
- α:
-
constant term
- β:
-
coefficient
- X:
-
control variables
- γ:
-
firm fixed effects
- μ:
-
year fixed effects
- ε:
-
residual error term
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Funding
This work is supported by the National Natural Science Foundation of China (grant nos. 71673117 and 72004082) and Philosophy and Social Sciences Excellent Innovation Team Construction foundation of Jiangsu province (grant no. SJSZ2020-20).
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Jijian Zhang conceived the topic, combed the relevant literature, and wrote the first draft. Guang Yang chose metrics, built models, and wrote this paper. Xuhui Ding collected and collated the data. Jie Qin collected the data and corrected this paper.
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Zhang, J., Yang, G., Ding, X. et al. Can green bonds empower green technology innovation of enterprises?. Environ Sci Pollut Res 31, 10032–10044 (2024). https://doi.org/10.1007/s11356-022-23192-5
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DOI: https://doi.org/10.1007/s11356-022-23192-5