Dynamic spatial spillover effect of new energy vehicle industry policies on carbon emission of transportation sector in China

被引:99
作者
Zhao, Min [1 ]
Sun, Tao [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Collage Econ & Management, Nanjing 211106, Peoples R China
关键词
New energy vehicles; Industry policies; Carbon emission; Dynamic spatial spillover effect; SDM model; Transportation sector; ELECTRIC VEHICLES; CO2; EMISSIONS; ENVIRONMENTAL EFFICIENCY; DIOXIDE EMISSIONS; AIR-QUALITY; CONSUMPTION; IMPACTS; CITIES; URBANIZATION; PENETRATION;
D O I
10.1016/j.enpol.2022.112991
中图分类号
F [经济];
学科分类号
02 ;
摘要
In order to reduce vehicle carbon emission, China launched many policies to develop new energy vehicles (NEVs). Using the panel data of 30 provinces in China from 2009 to 2018, this paper constructs a dynamic spatial panel data model based on spatial Dubin model (SDM) to empirically analyze the dynamic spatial spillover effect of NEV industry policies on the carbon emissions of China's transportation sector. The results are as follows: Firstly, low carbon emissions of transportation sector in one region can promote the realization of low carbon emissions in spatially adjacent or economically similar regions, and this relationship shows a significant dynamic inertia and increasing trend. Secondly, the NEV industry policies have both short-term and long-term effects on carbon emissions of transportation sector in local region. Thirdly, NEV industry policies in one region can produce positive spatial spillover effect on carbon emissions of transportation sector in spatially adjacent or economically similar regions, but this effect needs long-term transmission to show significant effect. Fourthly, both the education level of regional residents and the investment scale of transportation sector are negatively correlated with the carbon emission of transportation sector. Based on the results, some suggestions are put forward.
引用
收藏
页数:12
相关论文
共 66 条
[1]   Towards zero vehicle emissions in Africa: A case study of Ghana [J].
Ayetor, G. K. ;
Quansah, David A. ;
Adjei, Eunice A. .
ENERGY POLICY, 2020, 143
[2]   Incentives for promoting Battery Electric Vehicle (BEV) adoption in Norway [J].
Bjerkan, Kristin Ystmark ;
Norbech, Tom E. ;
Nordtomme, Marianne Elvsaas .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2016, 43 :169-180
[3]   Spillovers and the locational effects of public infrastructure [J].
Boarnet, MG .
JOURNAL OF REGIONAL SCIENCE, 1998, 38 (03) :381-400
[4]   Towards a circular and low-carbon economy: Insights from the transitioning to electric vehicles and net zero economy [J].
Bonsu, Nana O. .
JOURNAL OF CLEANER PRODUCTION, 2020, 256
[5]   Did the 2014 Nanjing Youth Olympic Games enhance environmental efficiency? New evidence from a quasi-natural experiment [J].
Chen, Yi ;
Long, Xingle ;
Salman, Muhammad .
ENERGY POLICY, 2021, 159
[6]   Greenhouse gas emissions of conventional and alternative vehicles: Predictions based on energy policy analysis in South Korea [J].
Choi, Wonjae ;
Yoo, Eunji ;
Seol, Eunsu ;
Kim, Myoungsoo ;
Song, Han Ho .
APPLIED ENERGY, 2020, 265
[7]   ELECTRIC VEHICLES - PERFORMANCE, LIFE-CYCLE COSTS, EMISSIONS, AND RECHARGING REQUIREMENTS [J].
DELUCHI, M ;
WANG, QL ;
SPERLING, D .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 1989, 23 (03) :255-278
[8]  
Dietz T., 1994, HUM ECOL REV, V1, P277, DOI DOI 10.2307/24706840
[9]   Policy evolution and effect evaluation of new-energy vehicle industry in China [J].
Dong, Feng ;
Liu, Yajie .
RESOURCES POLICY, 2020, 67
[10]   Costs and potentials of reducing CO2 emissions in China's transport sector: Findings from an energy system analysis [J].
Du, Huibin ;
Li, Qun ;
Liu, Xi ;
Peng, Binbin ;
Southworth, Frank .
ENERGY, 2021, 234