Analysis of carbon dioxide emissions, energy consumption, and economic growth in China

被引:28
作者
Gessesse, Abrham Tezera [1 ]
He, Ge [1 ]
机构
[1] Sichuan Agr Univ, Coll Management, Dept Agr Econ & Management, Chengdu, Peoples R China
来源
AGRICULTURAL ECONOMICS-ZEMEDELSKA EKONOMIKA | 2020年 / 66卷 / 04期
关键词
autoregressive distributed lag; causality; co-integration; Environmental Kuznets Curve; error-correction model; POLLUTANT EMISSIONS; DYNAMIC LINKS; CO2; EMISSIONS; POWER;
D O I
10.17221/258/2019-AGRICECON
中图分类号
F3 [农业经济];
学科分类号
0202 ; 020205 ; 1203 ;
摘要
This study examines the nexus of carbon dioxide (CO2) emissions, energy consumption (EC) and gross domestic products (GDP), using an Autoregressive Distributed Lag (ARDL) bounds test approach of co-integration and error-correction model (ECM) for the period 1971-2015. lhe aim of the research is to i) examine the relationship between CO2 and GDP as "cross-coupling, relative decoupling, or absolute decoupling; and validate the existence of the Environmental Kuznets Curve (EKC) hypothesis; ii) detect causality between CO2 emissions, EC, and GDP, and scrutinize their impacts. The ARDL results confirm a long-run and short-run co-integration relationship between the variables. The relationship between CO2 emissions and GDP is "relatively decoupling; and the EKC exists in China. Its CO2 emissions are more explained by EC and contribute twofold of GDP. In the long run, there was significant negative causality from CO2 emission and GDP to EC. This indicates Chinese economic development structure should be re-designed towards energy-saving and decarbonized economic structure. Moreover, the central and provincial governments of China should synchronize optimal energy utilization and green economic structure to mitigate environmental deterioration and climate change.
引用
收藏
页码:183 / 192
页数:10
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