| Title |
Green innovation efficiency across China's 30 provinces: estimate, comparison, and convergence |
| ID_Doc |
35390 |
| Authors |
Long, XL; Sun, CW; Wu, C; Chen, B; Boateng, KA |
| Title |
Green innovation efficiency across China's 30 provinces: estimate, comparison, and convergence |
| Year |
2020 |
| Published |
Mitigation And Adaptation Strategies For Global Change, 25, 7 |
| DOI |
10.1007/s11027-019-09903-3 |
| Abstract |
Considering government and market failure of environmental regulation to combat increasing GHG (greenhouse gas) emissions, green innovation can mitigate pollution through production processes and clean production. This paper aims to investigate endogenous green innovation efficiency and its convergence across China's 30 provinces from 2004 to 2014. Due to factor endowment heterogeneity, it is important to explore the convergence of green innovation efficiency among China's different regions, which can compare green innovation efficiency spatially and propose scientific policy implications for regions with relatively weaker green innovation efficiency. Green innovation efficiency is evaluated through epsilon-based measure (EBM) global Malmquist-Luenberger (ML) in order to overcome the demerits of radial model and slacks-based measure (SBM). Panel unit root test is implemented to explore the convergence of green innovation efficiency across different provinces of China, which addresses the invalid inference of conventional beta convergence. The empirical analysis revealed that green innovation efficiency in the east is the highest among four regions of China. Unit root test of panel data revealed that the northeast had the highest convergence among China's four regions. It is important to enhance green innovation capacity, and expand knowledge spillover of green innovation technology in order to mitigate GHG emissions. |
| Author Keywords |
Convergence; Green innovation efficiency; Unit root; Epsilon-based measure |
| 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:000574490900001 |
| WoS Category |
Environmental Sciences |
| Research Area |
Environmental Sciences & Ecology |
| PDF |
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