Statistical reasoning the link between energy demand, CO2 emissions and growth: Evidence from China

被引:8
作者
Akalpler, Ergin [1 ]
Shingil, Musa Esuwa [1 ]
机构
[1] Near East Univ, Dept Econ, Near East Blvd,Mersin 10, Nicosia, North Cyprus, Turkey
来源
9TH INTERNATIONAL CONFERENCE ON THEORY AND APPLICATION OF SOFT COMPUTING, COMPUTING WITH WORDS AND PERCEPTION, ICSCCW 2017 | 2017年 / 120卷
关键词
CO2; emission; China; growth; autoregressive distribution; greenhouse;
D O I
10.1016/j.procs.2017.11.227
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this study, the effect of energy demand on GDP in China is questioned between 1980 and 2015. The empirical results show that energy demand contributes substantially to GDP growth in the long run. Another appealing aspect of the research is the significance of using renewable-energy sources for economic growth in China. In this study, cointegration and autoregressive distributed lag modelling (ARDL) are both used. It is also shown that CO2 emissions from coal energy significantly contribute to greenhouse emissions, while emissions from combustible renewable energy reduces CO2 intensity. The outcome suggests that renewable energy demand and consumption have the capacity to lower the impact of the greenhouse effect on the economic growth aspirations of China, which could guarantee the country's achievement of reaching the CO2 emissions reduction target by 2020. (c) 2018 The Authors. Published by Elsevier B.V.
引用
收藏
页码:182 / 188
页数:7
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