2020
DOI: 10.1108/meq-07-2020-0149
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Economic growth and methane emission: testing the EKC hypothesis in ASEAN economies

Abstract: PurposeThe purpose of this study is to analyze the Environmental Kuznets Curve (EKC) hypothesis within the methane (CH4) emission–economic growth nexus among the six Association of Southeast Asian Nations (ASEAN) countries from 1985 to 2012.Design/methodology/approachThe study employs dynamic panel data estimation approaches such as mean group (MG) and pooled MG (PMG) techniques.FindingsThe findings reveal that the EKC hypothesis for the CH4 emission in these economies proves to be valid. In other words, econo… Show more

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Cited by 58 publications
(30 citation statements)
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“…These relationships are statistically significant at the 1% level. The plausible argument is that higher population density, and larger settlements which are features of urbanization stimulate consumption (demand) which in turn induces production that could pose a threat to green and clean environment via increase in carbon emissions [ 72 74 ].…”
Section: Analysis and Interpretationsmentioning
confidence: 99%
“…These relationships are statistically significant at the 1% level. The plausible argument is that higher population density, and larger settlements which are features of urbanization stimulate consumption (demand) which in turn induces production that could pose a threat to green and clean environment via increase in carbon emissions [ 72 74 ].…”
Section: Analysis and Interpretationsmentioning
confidence: 99%
“…Against this backdrop, this study aims to explore the renewable energy use-environmental quality nexus in the context of four fossil fuel-dependent South Asian countries: Bangladesh, India, Pakistan, and Sri Lanka. The empirical analysis is structured as per the theoretical underpinnings of the environmental Kuznets curve (EKC) hypothesis, which postulates economic growth to initially degrade the environment while improving it later on [11][12][13]. However, the relationship between economic growth and environmental quality is said to be determined by several variables, including energy.…”
Section: Introductionmentioning
confidence: 99%
“…Further, the study interrogates whether economic growth boosts or slows the impact of energy (both renewable and nonrenewable) on carbon emissions. It becomes necessary to separate these two energy variants and examine their overall impact on emissions because of the preponderance of literature reporting a possible association between energy use and emissions level (Adeel-Farooq et al, 2020;Jiao, 2020;Khan et al, 2020;Nasreen et al, 2020;Nathaniel et al, 2020a;Parker and Bhatti, 2020;Rahman and Velayutham, 2020;Shaari et al, 2020;Udemba et al, 2020). We obtain the results ( From column [1] of the main results, the coefficient of PC is positive and statistically significant at the 1% level.…”
Section: Composite Econometric Resultsmentioning
confidence: 99%