New energy demonstration city, spatial spillover and carbon emission efficiency: Evidence from China?s quasi-natural experiment

被引:110
作者
Chai, Jian [1 ]
Tian, Lingyue [1 ]
Jia, Ruining [1 ]
机构
[1] Xidian Univ, Sch Econ & Management, 266 Xinglong Sect,Xifeng Rd, Xian 710126, Peoples R China
基金
中国国家自然科学基金;
关键词
New energy demonstration city; Carbon emission efficiency; Spatial difference -in -differences model; Spillover effects; RENEWABLE ENERGY; EMPIRICAL-EVIDENCE; DIOXIDE EMISSIONS; URBANIZATION; CONSUMPTION; TECHNOLOGY; INNOVATION; IMPACT; GROWTH; INTENSITY;
D O I
10.1016/j.enpol.2022.113389
中图分类号
F [经济];
学科分类号
02 ;
摘要
The new energy demonstration city (NEDC) are conducive to developing and applying renewable energy, reducing carbon emissions effectively, and reshaping the urban economic development model. Therefore, evaluating the impact of NEDC on carbon emission efficiency is of great significance to this policy's development and improvement. This study selected 278 cities in China from 2003 to 2017 to explore the influence and the response mechanism of NEDC on carbon emission efficiency through the spatial difference-in-difference model (SDID). The result shows that NEDC not only significantly promotes the local carbon emission efficiency but also improves the carbon emission efficiency of the surrounding cities within 1000 km. Meanwhile, it promotes urban carbon emission efficiency through optimizing industrial structure, stimulating green technology innovation, and reducing energy intensity, among which the impact of green technology innovation was the strongest. Furthermore, the direct effect of NEDC on carbon emission efficiency is more significant in western, nonresource-based, non-industrial, and large cities in China. The radiation effect of NEDC has already appeared in eastern China, but the spatial spillover effect in large cities has not yet occurred. These findings will help further promote NEDC and provide important decision-making references for urban energy conservation and emission reduction.
引用
收藏
页数:15
相关论文
共 68 条
[21]   Estimation of spatial autoregressive panel data models with fixed effects [J].
Lee, Lung-fei ;
Yu, Jihai .
JOURNAL OF ECONOMETRICS, 2010, 154 (02) :165-185
[22]  
LeSage J, 2009, STAT TEXTB MONOGR, P1
[23]  
Li H., 2018, Economic Research Journal, V53, P182
[24]   Energy investment, economic growth and carbon emissions in China-Empirical analysis based on spatial Durbin model [J].
Li, Jinying ;
Li, Sisi .
ENERGY POLICY, 2020, 140
[25]   Urbanization, economic growth and environmental pollution: Evidence from China [J].
Liang, Wei ;
Yang, Ming .
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2019, 21 :1-9
[26]   Public appeal, environmental regulation and green investment: Evidence from China [J].
Liao, Xianchun ;
Shi, Xunpeng .
ENERGY POLICY, 2018, 119 :554-562
[27]   The role of renewable energy technological innovation on climate change: Empirical evidence from China [J].
Lin, Boqiang ;
Zhu, Junpeng .
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 659 :1505-1512
[28]   An EKC-pattern in historical perspective: carbon dioxide emissions, technology, fuel prices and growth in Sweden 1870-1997 [J].
Lindmark, M .
ECOLOGICAL ECONOMICS, 2002, 42 (1-2) :333-347
[29]   Does the agglomeration of urban producer services promote carbon efficiency of manufacturing industry? [J].
Liu, Xiping ;
Zhang, Xiaoling ;
Sun, Wen .
LAND USE POLICY, 2022, 120
[30]  
LU J., 2019, Resour Sci, V41, P151