| Title | Study on the Regional Differences and Promotion Models of Green Technology Innovation Performance in China: Based on Entropy Weight Method and Fuzzy Set-Qualitative Comparative Analysis |
|---|---|
| ID_Doc | 30813 |
| Authors | Li, PP; Bi, P |
| Title | Study on the Regional Differences and Promotion Models of Green Technology Innovation Performance in China: Based on Entropy Weight Method and Fuzzy Set-Qualitative Comparative Analysis |
| Year | 2020 |
| Published | |
| Abstract | The coordinated development of green technology innovation performance among regions is of great significance for China's sustainable development. Therefore, it is necessary to explore the evaluation and promotion modes for green technology innovation performance. Based on the data of 30 provinces in China, this paper comprehensively evaluates regional green innovation performance and determines the factor configurations that can achieve high green technology innovation performance. This paper constructs an index system of green technology innovation from four aspects (economy, innovation, environment, and social welfare) and measures the results by the entropy weight method. The results show that green technology innovation performance decreases from the eastern region to the western region. At the province level, Ningxia, Qinghai, and Xinjiang have lower performance, while Beijing, Zhejiang and Shanghai have higher performance. The fuzzy set qualitative comparative analysis method reveals five configurations that achieve high green technology innovation performance. Specifically, regions with high green technology innovation performance tend to be those with high environmental regulation intensity and high innovation input. When environmental regulation and innovation input are both high, regions should fully consider the technology spillover effect of foreign direct investment. When energy prices is high, regions should give full play to the technology spillover effect of FDI and the transformation of market demand to reduce the pressure of production costs. |
| https://ieeexplore.ieee.org/ielx7/6287639/6514899/09286387.pdf |
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