| Title |
Measurement and spatial statistical analysis of green science and technology innovation efficiency among Chinese Provinces |
| ID_Doc |
30407 |
| Authors |
Wu, MR |
| Title |
Measurement and spatial statistical analysis of green science and technology innovation efficiency among Chinese Provinces |
| Year |
2021 |
| Published |
Environmental And Ecological Statistics, 28, 2 |
| DOI |
10.1007/s10651-021-00491-7 |
| Abstract |
This paper measured the efficiency of green science and technology (S&T) innovation in 30 Chinese provinces from 2008 to 2017 by constructing a three-stage super-efficiency DEA model that contains undesired output and then analyzed the spatial performance for these provinces. The purpose is to calculate exactly the extent to which S&T innovation in different regions of China has contributed to economic development, excluding negative impacts on the ecological environment and any spatial differences that have emerged in the past decade. The results show that the overall performance of green S&T innovation efficiency in Chinese regions was poor in the past decade, and there is still much room for improvement. In addition, China's investment in S&T innovation and environmental management is inefficient and wasteful. From the temporal perspective, efficiency in green innovation shows a slowly increasing trend. From the spatial perspective, the efficiency shows a strict correlation with economic development, that is, an obvious three-level spatial distribution pattern of "east, middle, and west". |
| Author Keywords |
Chinese provinces; Green science and technology innovation efficiency; Spatial statistical analysis; Three-stage data envelopment analysis model |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000641227200003 |
| WoS Category |
Environmental Sciences; Mathematics, Interdisciplinary Applications; Statistics & Probability |
| Research Area |
Environmental Sciences & Ecology; Mathematics |
| PDF |
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