2019
DOI: 10.1016/j.scitotenv.2018.07.365
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Effect of foreign direct investments, economic development and energy consumption on greenhouse gas emissions in developing countries

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Cited by 922 publications
(385 citation statements)
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References 28 publications
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“…After estimating the cointegration, panel FMOLS and panel ARDL long and short‐run relationships, we further controlled for distributional heterogeneity using panel quantile regression (Sarkodie and Strezov, ). The linear quantile ( Q ) specification for Equations 1 and 2 is expressed as (Koenker and Hallock, ): Q[]|τXi,β()τ=trueXi'β()τ, where X signifies the regressors (AVA, ENG, TRD), β represents the vector of the coefficient to be estimated and τ denotes the ‐th quantile for individual i : βfalse^n()τ=argminβ()τ{}iρτ()YitrueXi'β()τ, where βfalse^n()τ represents the conditional quantile estimation analogous to the unconditional quantile regression estimation expressed in Equation 3, Y denotes the response variable (CO 2 ) and absolute function ρ τ (.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…After estimating the cointegration, panel FMOLS and panel ARDL long and short‐run relationships, we further controlled for distributional heterogeneity using panel quantile regression (Sarkodie and Strezov, ). The linear quantile ( Q ) specification for Equations 1 and 2 is expressed as (Koenker and Hallock, ): Q[]|τXi,β()τ=trueXi'β()τ, where X signifies the regressors (AVA, ENG, TRD), β represents the vector of the coefficient to be estimated and τ denotes the ‐th quantile for individual i : βfalse^n()τ=argminβ()τ{}iρτ()YitrueXi'β()τ, where βfalse^n()τ represents the conditional quantile estimation analogous to the unconditional quantile regression estimation expressed in Equation 3, Y denotes the response variable (CO 2 ) and absolute function ρ τ (.…”
Section: Methodsmentioning
confidence: 99%
“…After estimating the cointegration, panel FMOLS and panel ARDL long and short-run relationships, we further controlled for distributional heterogeneity using panel quantile regression (Sarkodie and Strezov, 2019). The linear quantile (Q) specification for Equations 1 and 2 is expressed as (Koenker and Hallock, 2001):…”
Section: Model Estimationmentioning
confidence: 99%
“…The CE has received increased attention in the academic research with a range of reviews on the topic. More explicitly, the current literature explores the nexus among economic growth and environmental problems such as contamination (Ssali et al 2018), pollution (Sarkodie and Strezov 2019), climate change (Goldstone 2018), greenhouse gas discharges (Zhu et al 2016) or global warming (Wang et al 2017) between others. Specific areas of attention are closed loop value and supply chains, circular business models and circular product design (Geissdoerfer et al 2017).…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, humans have been endangered by greenhouse effect leading to global warming. Carbon dioxide (CO 2 ) emission source from the burn of fossil fuels catches much attention because of it is a major factor to the greenhouse effect (Sarkodie and Strezov, 2019). One method to assuage the greenhouse effect is to capture CO 2 from emission sources and then save it in stratum or apply it for enhanced oil recovery in low permeability reservoirs.…”
Section: Introductionmentioning
confidence: 99%