The impact of natural resource depletion on energy use and CO2 emission in Belt & Road Initiative countries: A cross-country analysis
By J. Hussain, Anwar Khan, Kui Zhou. 2020
366 citations recorded by the source corpus.
Abstract We employ STIRPAT (stochastic impact of regression on population, affluence, and technology) model to investigate the impact of natural resource depletion on energy use and carbon dioxide emissions for a panel of 56 “Belt & Road Initiative” (BRI) countries over 1990–2014. We utilize the Augmented Mean Group (AMG) panel estimator and Common Correlated Effects Mean Group (CCEMG) estimator for estimating our model. The results indicate that increasing natural resource depletion increases CO2 emissions and energy use, which shows that a 1% increase in natural resource depletion for our sample of BRI countries will increase CO2 emissions and energy use by 0.0286% and 0.0117%, respectively. To check the causal relationship among our variables, we employ the VECM Granger causality test. The causality results underscore feedback hypothetical links among CO2 emissions, energy use, economic growth, natural resource depletion, urbanization, and trade openness in the long run. Our results show a significant cross-sectional dependence and heterogeneity.
Subfields: Economics and Econometrics, Pollution, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/2107345fee4da6a5653ad23759c2b7f1c0657978
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In Economics and Econometrics
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Investigating the asymmetric linkages between infrastructure development, green innovation, and consumption-based material footprint: Novel empirical estimations from highly resource-consuming economies (2021, background): “The way we consume resources often provokes irrevocable ecological 173 effects (Yu et al. 2021; Zafar et al., 2019), as natural resource depletion is a significant factor of 174 upsurging CO2 emissions (Hussain et al., 2020).”