长江
面板数据
经济地理学
绿色创新
磁滞
碳纤维
驱动因素
自然资源经济学
绿色增长
转化(遗传学)
业务
经济体制
经济
地理
中国
产业组织
可持续发展
计量经济学
生态学
数学
生物
基因
量子力学
算法
物理
化学
生物化学
考古
复合数
作者
Guochang Fang,Zhengye Gao,Li Wang,Tian Li
标识
DOI:10.1016/j.jclepro.2022.134196
摘要
This paper explores the relationship between green innovation and urban carbon emission efficiency (CEE). Based on the panel data of 108 cities in the Yangtze River Economic Belt, the spatiotemporal evolution pattern of green innovation and urban CEE is investigated. The spatial Durbin model shows that green innovation has a positive and significant effect on CEE. The conclusions are robust after considering different spatial weight matrices and possible patent hysteresis. Furthermore, it is found that environmental regulation and industrial upgrading play a significant role in strengthening the relationship between green innovation and CEE. Heterogeneity analysis shows that green innovation has a more significant effect on CEE in the middle and lower reaches of the Yangtze River and in the period of 2012–2017. In addition, the impact of green innovation on CEE is linear, while the impact of general innovation on CEE is U-shaped, reflecting the important driving role of green innovation for CEE. The findings in this study offer a reference for improving the efficiency of spatial allocation of technical elements, which are conducive to urban green and low-carbon transformation.
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