数据包络分析
中国
可持续发展
面板数据
绿色发展
集聚经济
业务
政府(语言学)
经济体制
估计
经济
产业组织
环境经济学
经济增长
计量经济学
数学
地理
数学优化
哲学
考古
管理
语言学
法学
政治学
作者
Yiding Wu,Jingfei Song
出处
期刊:Sustainability
[MDPI AG]
日期:2024-04-16
卷期号:16 (8): 3311-3311
被引量:3
摘要
With the implementation of China’s innovation-driven high-quality economic development strategy, green and innovation are already the key factors of economic development. Therefore, developing green industry and improving regional green innovation have attracted wide attention and are of great significance to the sustainable development of China’s economy. Therefore, starting from China’s provincial panel from 2012 to 2021, this paper first uses the super-efficiency relaxation data envelopment analysis model (Super-SBM) to estimate green innovation efficiency (GI) and then uses the location entropy to measure the regional agglomeration level of the new energy industry (agg). Then, the generalized estimation of moments (GMM) model is used to explore the impact of agg on GI and verify the regulatory mechanism of green finance (GF). The results are as follows: (1) agg presents a distribution of “the highest in the eastern region, followed by the central region, and the lowest in the western region”, (2) agg can facilitate the improvement of GI, and in accordance with the threshold model, moderate GF will further amplify this effect. Therefore, the state and government should further promote the green finance policy, guide new energy enterprises to gather and contribute to the sustainable development of China’s economy.
科研通智能强力驱动
Strongly Powered by AbleSci AI