Economics and Management School, Wuhan University, Wuhan 430072, China.
Center for Economic Development Research and Center of Population, Resource & Environmental Economics Research, Wuhan University, Wuhan 430072, China.
Int J Environ Res Public Health. 2022 Apr 14;19(8):4764. doi: 10.3390/ijerph19084764.
In the new stage of global economic development, we hope to achieve both economic development and environmental improvement through green technology innovation. How to effectively obtain the support of technology and finance to green technology innovation is an issue worth studying. This paper constructed an improved super-SBM-DEA efficiency measurement model and combined it with the window analysis method to measure the green technology innovation efficiency (GTIE) of Chinese provinces from 2006 to 2018. Then, based on the PVAR model, the impulse response function and Monte Carlo simulation were used to study the dynamic impact of various variables of technology and finance on GTIE. Finally, the variance decomposition was used to explore the contribution degree of each variable of technology and finance to improving GTIE. The results revealed the following: (1) the average value of China's provincial GTIE from 2006 to 2018 was 0.42, which is relatively low and shows a trend of volatility and rising. (2) From the impulse response results, it could be seen that various variables of technology and finance have always had a positive impact on GTIE. However, there are differences in the influence degree, shock effect, and dynamic transmission mechanism. (3) The results of the variance decomposition showed that government financial technology investment had the highest contribution to the improvement of GTIE, followed by bank technology credit, then by enterprise independent R&D investment, and finally venture capital. This paper offered a reference to developing countries with regard to improving their GTIE and studying the role of technology and finance.
在全球经济发展的新阶段，我们希望通过绿色技术创新实现经济发展和环境改善。如何有效地获得技术和金融的支持，以促进绿色技术创新，是一个值得研究的问题。本文构建了一个改进的超 SBM-DEA 效率测度模型，并结合窗口分析方法，测度了 2006-2018 年中国各省的绿色技术创新效率（GTIE）。然后，基于 PVAR 模型，利用脉冲响应函数和蒙特卡罗模拟研究了技术和金融的各种变量对 GTIE 的动态影响。最后，利用方差分解法探讨了技术和金融的各种变量对提高 GTIE 的贡献程度。结果表明：（1）2006-2018 年中国省级 GTIE 的平均值为 0.42，相对较低，呈波动上升趋势。（2）从脉冲响应结果可以看出，技术和金融的各种变量对 GTIE 一直都有正向影响，但影响程度、冲击效应和动态传递机制存在差异。（3）方差分解结果表明，政府财政科技投入对提高 GTIE 的贡献最高，其次是银行科技信贷，然后是企业自主研发投入，最后是风险投资。本文为发展中国家提高 GTIE 水平和研究技术与金融的作用提供了参考。
