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Decoupling and decomposition analysis of CO2 emissions from government spending in China
被引:39
|作者:
Cheng, Shulei
[1
]
Wang, Ping
[2
]
Chen, Boyang
[3
]
Fan, Wei
[4
]
机构:
[1] Southwestern Univ Finance & Econ, Sch Publ Adm, Chengdu 611130, Sichuan, Peoples R China
[2] Southwestern Univ Finance & Econ, Sch Publ Finance & Taxat, Chengdu 611130, Sichuan, Peoples R China
[3] China Agr Univ, Coll Econ & Management, Beijing 100083, Peoples R China
[4] Southwestern Univ Finance & Econ, West Ctr Econ Res, Chengdu 611130, Sichuan, Peoples R China
来源:
关键词:
CO2;
emissions;
Government spending on energy-savings;
and environmental protection (GSP);
Government spending on education (GSE);
Government spending on technology (GST);
Tapio decoupling elastic index;
Logarithmic mean divisia index (LMDI);
CARBON-DIOXIDE EMISSIONS;
ECONOMIC-GROWTH;
ENVIRONMENTAL-POLLUTION;
INDUSTRIAL-GROWTH;
ENERGY;
EXPENDITURES;
MODEL;
COAL;
CONSUMPTION;
INDICATORS;
D O I:
10.1016/j.energy.2021.122741
中图分类号:
O414.1 [热力学];
学科分类号:
摘要:
Exploring the role of government spending (GS) in CO2 mitigation is essential for achieving low-carbon development goals; however, the mechanism by which GS affects CO2 emissions remains unclear. The decoupling relationship between GS on energy-savings and environmental protection (GSP) and CO2 & nbsp;emissions in China from 2007 to 2019 was investigated. In addition to evaluating the temporal attribute of the decoupling state, the concept of a dynamic path of the decoupling state was proposed for the first time. Moreover, from the perspective of direct and indirect effects and decoupling elastic factors, the drivers of decoupling elasticity between GSP and CO2 emissions were analysed by developing two non-residual decomposition methods for the Tapio decoupling elastic index. Results based on 30 Chinese provinces showed that these provinces experienced either one or more of the decoupling states: weak, strong, expansive negative, and strong negative decoupling; however, most provinces experienced weak decoupling. Beijing, Tianjin, and Jilin were in the intensive dynamic path of the decoupling state, whereas other provinces remained in the extensive dynamic path. The energy intensity, energy-related carbon intensity, and GS structures of education contributed to the decoupling of GSP from CO2 emissions, however, GS intensity on capital-labour input delayed. (C)& nbsp;2021 Elsevier Ltd. All rights reserved.
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页数:15
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