Improving the environmental Kuznets curve for evaluating the relationships between carbon dioxide emissions and economic development

被引：0

作者：

Zhao, Fengxia ^{[1
,2
]}

Xu, Ming ^{[1
,3
]}

Zheng, Yunpu ^{[1
,4
]}

Wong, Michelle Hang Gi ^{[1
]}

Chi, Yonggang ^{[1
,2
]}

机构：

[1] Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China

[2] Univ Chinese Acad Sci, Beijing 100039, Peoples R China

[3] Rutgers State Univ, Ctr Remote Sensing & Spatial Anal, Dept Ecol Evolut & Nat Resources, New Brunswick, NJ 08903 USA

[4] Dalian Univ, Inst Modern Agr Res, Dalian 116622, Peoples R China

来源：

JOURNAL OF FOOD AGRICULTURE & ENVIRONMENT | 2013年 / 11卷 / 02期

关键词：

Economic growth; linear regression model; peak; oil shock; region; CO2; EMISSIONS; REAL PROGRESS; GROWTH; POLLUTION; QUALITY; CONSUMPTION; TECHNOLOGY; INCOME;

D O I：

暂无

中图分类号：

TS2 [食品工业];

学科分类号：

0832 ;

摘要：

In this study we used an improved approach to test the EKC hypothesis for carbon dioxide emissions by taking the first-order derivative of the traditional quadratic EKC equation. We found the long-term historical carbon dioxide emissions rarely supported the EKC theory at various scales (country to globe), but the short-term (especially the most recent decades) carbon dioxide emissions widely supported the EKC hypothesis. We concluded that though the overall development of a country or region might not follow an EKC pattern, but the EKC hypothesis might still be justified during different periods of the economic growth.

引用

页码：1193 / 1199

页数：7

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