The effect of corruption on carbon dioxide emissions in APEC countries: A panel quantile regression analysis

被引:139
|
作者
Zhang, Yue-Jun [1 ,2 ]
Jin, Yan-Lin [1 ,2 ]
Chevallier, Julien [3 ,4 ]
Shen, Bo [5 ]
机构
[1] Hunan Univ, Sch Business, Changsha 410082, Hunan, Peoples R China
[2] Hunan Univ, Ctr Resource & Environm Management, Changsha 410082, Hunan, Peoples R China
[3] IPAG Business Sch, IPAG Lab, 184 Blvd St Germain, F-75006 Paris, France
[4] Univ Paris 08, LED, 2 Rue Liberte, F-93526 St Denis, France
[5] Lawrence Berkeley Natl Lab, Environm Energy Technol Div, Berkeley, CA 94720 USA
基金
中国国家自然科学基金;
关键词
Corruption; CO2; emissions; APEC; Panel quantile regression; GROWTH; ENVIRONMENT; POLLUTION; TAXATION; INCOME;
D O I
10.1016/j.techfore.2016.05.027
中图分类号
F [经济];
学科分类号
02 ;
摘要
The relationship between corruption and CO2 emissions has been receiving increased attention in recent years, but little work has been conducted for the Asia-Pacific Economic Cooperation (APEC) countries even if they have determined to fight against corruption and addres climate change. Using the quantile regression approach, this paper develops a panel data model for the effect of corruption on CO2 emissions in APEC countries. The empirical results show that, first of all, the effect of corruption on CO2 emissions is heterogeneous among APEC countries. Specifically, there is significant negative effect in lower emission countries, but insignificant in higher emission countries. Second, there exists an inverted U-shaped Environmental Kuznets Curve (EKC) between corruption and CO2 emissions, and the per capita GDP at the turning point of the EKC may increase when CO2 emissions increase. Finally, corruption may have not only a negative direct effect on CO2 emissions, but also a positive indirect effect through its effect on per capita GDP. The total effect appears positive, which indicates corruption may worsen environmental quality overall in APEC countries. (C) 2016 Elsevier Inc All rights reserved.
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页码:220 / 227
页数:8
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