| Title |
Evaluation of green technology innovation efficiency in a regional context: A dynamic network slacks-based measuring approach |
| ID_Doc |
30566 |
| Authors |
Wang, Q; Ren, SM |
| Title |
Evaluation of green technology innovation efficiency in a regional context: A dynamic network slacks-based measuring approach |
| Year |
2022 |
| Published |
|
| DOI |
10.1016/j.techfore.2022.121836 |
| Abstract |
As green technology innovation efficiency is considered an effective indicator to evaluate energy conservation and emission mitigation, the question of how to estimate it has become a hot topic. Research primarily calculates the cross-section efficiency from a static perspective or the network efficiency alone; however, few studies have considered dynamic characteristics and the network structure of the innovation process simultaneously. To address this gap, this paper employs slacks-based dynamic network data envelopment analysis to calculate the overall, intertemporal, and divisional green technology innovation efficiency covering China's 30 provinces over 2012-2019. The results indicate that (1) a strong spatial dependence of efficiency scores exists, accounting for 60 % of the aggregate statistics. (2) China's overall scores are low, and inefficient regions need to improve ef-ficiency by at least 31.41 % to become efficient. (3) Economically developed regions, provinces with advanced manufacturing, and nonresource-based areas have relatively high scores. (4) The period scores fluctuate greatly up and down around the overall scores, showing a significant spatial imbalance within consecutive multiple periods. (5) Regarding divisional scores, the internal structure of green technology innovation efficiency in China is inferior in R & D and superior in commercialization. Generally, policy-makers should improve local conditions for green technology innovation efficiency. |
| Author Keywords |
Green technology innovation efficiency; Regional study; Dynamic DEA; Network DEA; Slacks -based measure |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:000826445400004 |
| WoS Category |
Business; Regional & Urban Planning |
| Research Area |
Business & Economics; Public Administration |
| PDF |
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