A review on Environmental Kuznets Curve hypothesis using bibliometric and meta-analysis

被引:426
|
作者
Sarkodie, Samuel Asumadu [1 ]
Strezov, Vladimir [1 ]
机构
[1] Macquarie Univ, Fac Sci & Engn, Dept Environm Sci, N Ryde, NSW 2109, Australia
关键词
EKC hypothesis; Meta-analysis; Bibliometric analysis; Turning point; Pollution haven hypothesis; RENEWABLE ENERGY-CONSUMPTION; POLLUTION HAVEN HYPOTHESIS; GREENHOUSE-GAS EMISSIONS; CARBON-DIOXIDE EMISSIONS; ECONOMIC-GROWTH; CO2; EMISSIONS; EMPIRICAL-EVIDENCE; NUCLEAR-ENERGY; AIR-POLLUTION; NATURAL-GAS;
D O I
10.1016/j.scitotenv.2018.08.276
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Environmental Kuznets Curve (EKC) hypothesis dates back in decades and is still topical presently due to its importance in environmental policy formulation. There are several systematic reviews of the EKC hypothesis using traditional review method. However, this review employs bibliometric and meta-analysis to track historical trends on the theme using the VOSviewer software and meta-analytic methods. The review translates the network analysis into visualized forms based on authors' contribution, the impact of the research by countries, citations count, and text corpus modeling using a network data extracted from Web of Science. The meta-analysis reveals that the collection of studies that validate the inversed-U shaped relationship has an average of US$8910 as the turning point of annual income level. Low income and middle-income countries are found below the thresholds of annual income level while high-income countries are above. Heterogeneity is confirmed among turning point in studies on EKC hypothesis due to differences in the period of study and econometric methods used in model estimation. The empirical findings reveal that most of the studies on EKC hypothesis are based on atmospheric indicators, while literature is sporadic and limited on EKC hypothesis which employs land indicators, oceans, seas, coasts and biodiversity indicators, and freshwater indicators. (c) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:128 / 145
页数:18
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