2020
DOI: 10.1016/j.resourpol.2020.101833
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Re-investigation of the resource curse hypothesis: The role of political institutions and energy prices in BRIC countries

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Cited by 47 publications
(10 citation statements)
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“…To address these limitations of the aforementioned methods, the CS‐ARDL estimator is applied. The CS‐ARDL method has some distinct advantages over these methods: (a) It controls for cross‐sectional dependency, slope heterogeneity, and the structural break issues in the data; (b) it estimates both the short‐ and long‐run elasticities; and (c) it accounts for endogeneity issues in the data (Hussain et al, 2020). The CS‐ARDL model can be specified as eit=i+p=1aδi,pei,tp+p=0aγi,pXi,tp+p=0aρiZnormaltq+εit where e it is the outcome variable (per capita CO 2 emissions in the context of this paper) and X it is the set of the independent variables (intra‐regional trade share, renewable energy consumption share, real per capita GDP, gross fixed capital formation, and urbanization rate in the context of this paper) and Z it is the averages of the outcome and the independent variables ( e it and X it ).…”
Section: Methodsmentioning
confidence: 99%
“…To address these limitations of the aforementioned methods, the CS‐ARDL estimator is applied. The CS‐ARDL method has some distinct advantages over these methods: (a) It controls for cross‐sectional dependency, slope heterogeneity, and the structural break issues in the data; (b) it estimates both the short‐ and long‐run elasticities; and (c) it accounts for endogeneity issues in the data (Hussain et al, 2020). The CS‐ARDL model can be specified as eit=i+p=1aδi,pei,tp+p=0aγi,pXi,tp+p=0aρiZnormaltq+εit where e it is the outcome variable (per capita CO 2 emissions in the context of this paper) and X it is the set of the independent variables (intra‐regional trade share, renewable energy consumption share, real per capita GDP, gross fixed capital formation, and urbanization rate in the context of this paper) and Z it is the averages of the outcome and the independent variables ( e it and X it ).…”
Section: Methodsmentioning
confidence: 99%
“…Investing in renewable energy has the potential to pay off for investors. So, the E7 economies should improve their renewable energy investment percentage (Amin and Dogan 2021 ; Hussain et al 2020a , b , c ; Luan et al 2022 ). This study also looks at the effect of natural resource rents, economic policy uncertainty, and urbanization on environmental degradation.…”
Section: Resultsmentioning
confidence: 99%
“…A large number of studies used this proxy. However, a large body of literature supports the evidence of ecological footprints as a better way to monitor environmental degradation (Aşıcı and Acar 2016 ; Hussain et al 2020a , b , c ; Hussain and Dogan 2021 ; Rees 1996 ; Solarin et al 2019 ; Wang and Dong 2019 ). Therefore, the present study is an extension of the existing literature on the “Environment Kuznets Curve (EKC).” where EFP is “ecological footprint per capita consumption,” whereas (Y) is “gross domestic product (GDP) and is estimated as the current US$.” ES is “ energy structure which is a part of total energy in the form of renewable energy sources,” (NRR) “is calculated as the GDP percentage of natural resource rents,” EPU “is economic policy uncertainty and it is taken from the EPUI generated by Economic Policy Uncertainty Index ( 2021 ),” and “urbanization (URB) estimates entire urban populations.” Data is taken from the WDI website and the “global footprints network.” The econometric from Eq.…”
Section: Methodsmentioning
confidence: 99%
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“…Since energy, like any other commodity, is not free of cost, movements in energy prices tend to both directly impact the energy consumption levels [10,11]; thus, indirectly affecting the economic growth performances as well [12,13]. Consequently, several studies have also explored the oil price volatility impacts on economic growth [14,15].…”
Section: Introductionmentioning
confidence: 99%