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.
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Multimedia Univ, Fac Business, Melaka 75450, MalaysiaMultimedia Univ, Fac Business, Melaka 75450, Malaysia
Al-Mulali, Usama
Saboori, Behnaz
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Univ Teknol Malaysia, Ctr Real Estate Studies, Dept Real Estate, Fac Geoinformat & Real Estate, Johor Bahru Johor 81310, MalaysiaMultimedia Univ, Fac Business, Melaka 75450, Malaysia
Saboori, Behnaz
Ozturk, Ilhan
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Cag Univ, Fac Econ & Adm Sci, TR-33800 Mersin, TurkeyMultimedia Univ, Fac Business, Melaka 75450, Malaysia
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Xinjiang Univ, Sch Econ & Management, Xinjiang 830046, Peoples R China
China Univ Petr East China, Sch Econ & Management, Qingdao 266580, Peoples R ChinaXinjiang Univ, Sch Econ & Management, Xinjiang 830046, Peoples R China
Wang, Qiang
Yang, Ting
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China Univ Petr East China, Sch Econ & Management, Qingdao 266580, Peoples R ChinaXinjiang Univ, Sch Econ & Management, Xinjiang 830046, Peoples R China
Yang, Ting
Li, Rongrong
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Xinjiang Univ, Sch Econ & Management, Xinjiang 830046, Peoples R China
China Univ Petr East China, Sch Econ & Management, Qingdao 266580, Peoples R ChinaXinjiang Univ, Sch Econ & Management, Xinjiang 830046, Peoples R China
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Univ Tunku Abdul Rahman, Fac Business & Finance, Jalan Univ, Kampar 31900, Perak Darul Rid, MalaysiaUniv Tunku Abdul Rahman, Fac Business & Finance, Jalan Univ, Kampar 31900, Perak Darul Rid, Malaysia
Lau, Lin-Sea
Choong, Chee-Keong
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Univ Tunku Abdul Rahman, Fac Business & Finance, Jalan Univ, Kampar 31900, Perak Darul Rid, MalaysiaUniv Tunku Abdul Rahman, Fac Business & Finance, Jalan Univ, Kampar 31900, Perak Darul Rid, Malaysia
Choong, Chee-Keong
Ng, Cheong-Fatt
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Univ Tunku Abdul Rahman, Fac Business & Finance, Jalan Univ, Kampar 31900, Perak Darul Rid, MalaysiaUniv Tunku Abdul Rahman, Fac Business & Finance, Jalan Univ, Kampar 31900, Perak Darul Rid, Malaysia
Ng, Cheong-Fatt
Liew, Feng-Mei
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Univ Tunku Abdul Rahman, Fac Business & Finance, Jalan Univ, Kampar 31900, Perak Darul Rid, MalaysiaUniv Tunku Abdul Rahman, Fac Business & Finance, Jalan Univ, Kampar 31900, Perak Darul Rid, Malaysia
Liew, Feng-Mei
Ching, Suet-Ling
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Univ Tunku Abdul Rahman, Fac Business & Finance, Jalan Univ, Kampar 31900, Perak Darul Rid, MalaysiaUniv Tunku Abdul Rahman, Fac Business & Finance, Jalan Univ, Kampar 31900, Perak Darul Rid, Malaysia