CO2 emissions are first aggravated and then alleviated with economic growth in China: a new multidimensional EKC analysis

被引:4
|
作者
Feng, Langang [1 ,2 ]
Shang, Shu [1 ,2 ]
Gao, Xiangyun [3 ,4 ,5 ]
An, Sufang [3 ]
Han, Xiaodan [3 ]
机构
[1] Guizhou Univ Finance & Econ, Sch Big Data Applicat & Econ, Guiyang 550025, Peoples R China
[2] Guizhou Univ Finance & Econ, Guizhou Key Lab Big Data Stat Anal, Guiyang 550025, Peoples R China
[3] China Univ Geosci, Sch Econ & Management, Beijing 100083, Peoples R China
[4] Hebei GEO Univ, Coll Informat Engn, Shijiazhuang 050031, Peoples R China
[5] Hebei GEO Univ, Nat Resource Asset Capital Res Ctr, Shijiazhuang 050031, Peoples R China
关键词
CO2; emissions; Environmental Kuznets curve (EKC); Spatial Durbin model (SDM); Spatial weight matrix; ENVIRONMENTAL KUZNETS CURVE; GREENHOUSE-GAS EMISSIONS; ENERGY-CONSUMPTION; ECOLOGICAL FOOTPRINT; RENEWABLE ENERGY; CARBON EMISSIONS; HYPOTHESIS; SPILLOVER; POLLUTION; MODEL;
D O I
10.1007/s11356-022-24816-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
CO2 emissions have become a topical issue worldwide, but few studies have considered the spatial effect of income on carbon emissions and explored the relationship between CO2 emissions and income by establishing direct, indirect, and total environmental Kuznets curves (EKCs). Using an annual panel dataset collected over the 1997-2017 period in China, this study first analyzed the spatiotemporal evolutionary process of CO2 emissions and subsequently developed direct, indirect, and total EKC-based spatial Durbin model (SDM) and partial derivative approach. These results indicate that, first, CO2 emissions have characteristic positive spatial autocorrelation, with gravity centers that have shifted westward. Second, the direct EKC forms a line, while the total EKC resembles a lying-S shape as well as the total EKC, which indicates that compared to local economic growth, neighboring growth plays a very different role in impacting local CO2 emissions. Furthermore, neighboring economic growth seems to have stronger impacts on local emissions, and the turning point of the total EKC comes much earlier than that of the conventional EKC due to the spillover effects of economic growth. Finally, the growth of the population, as well as the rise of energy intensity, can stimulate CO2 emissions in both local and neighboring regions. Industrialization seems to have a nonsignificant impact on emission changes due to the offsetting effects of the positive direct and negative indirect impacts of the share of secondary industry. Improvements in local urbanization may lead to an increase in emissions, while neighboring improvements may have stronger restricting effects; thus, urbanization improvement is beneficial to emissions reduction. This study provides more scientific information from both local and neighboring perspectives, which may differ from conventional results but still be beneficial for emissions reduction policy-makers to introduce corresponding measures.
引用
收藏
页码:37516 / 37534
页数:19
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