Spatiotemporal evolution of carbon emission intensity and the driving effect of green technology innovation: Evidence from China

被引:0
|
作者
Hongxiao Zhao
Yu Cheng
Yan Liu
机构
[1] Shandong Normal University,College of Geography and Environment
关键词
Green technology innovation; Carbon emission intensity; Panel quantile model; Kernel density; The Gini coefficient; The Thiel index; The STIRPAT model;
D O I
暂无
中图分类号
学科分类号
摘要
The “double carbon” goal has proposed new “green” requirements for China's low-carbon economic development, and green technology innovation (GTI) has become an important way to coordinate economic and sustainable development. The study explores the spatial-temporal evolution of carbon emission intensity (CEI) of Chinese prefecture-level cities, analyses the nonlinear impact of GTI on the CEI by constructing a panel quantile model, and draws the following conclusions. First, CEI shows a decreasing trend from 2006 to 2019 and a spatial distribution pattern of “high in the north and low in the south, high in the west and low in the east”. Second, GTI significantly reduces CEI, and as the quantile point increases, the carbon reduction effect of GTI is characterized by a U-shaped change, decreasing first and then increasing. Overall, GTI has a significantly more profound inhibiting effect on high CEI regions than on low CEI regions. Third, there is spatial heterogeneity in the impact of GTI on CEI across the four major regions and diverse policy contexts. The study proposes countermeasures for low-carbon development in terms of tapping the potential of GTI, strengthening its regional synergy, and applying locally appropriate measures, to gain the great practical significance for achieving the double carbon target.
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页码:103087 / 103100
页数:13
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