Sustainable Futures · 2024 · 69 citations · 77 references
Public AffairsEnvironmental PolicyUrban PlanningEnergy EconomicsEnergy PolicyInnovationEnergy Policy AnalysisEnergy TransitionEnergy Transition PolicyIndustrializationRenewable EnergySustainability TransitionsPanel Data RegressionPanel Quantile RegressionPanel Regression ModelsQuantile RegressionSustainable Energy PlanningSustainable Energy TransitionsUrban Energy PlanningUrban Energy Transitions
Industrialization in Newly industrialized countries may be a potential retarding factor for sustainable future. This study examines that transitions towards green alternatives may be driven by technological innovation, urbanization, and industrialization using panel-corrected standard errors regression and quantile regression on data from 1985 to 2020. The empirical results suggest that technological innovation accelerates renewable energy and decelerates non-renewable energy. Conversely, urbanization and trade liberalization reduce renewable energy but increase non-renewable energy while increase in output positively impacts both renewable and non-renewable energy. The findings imply prioritizing technological innovation, sustainable urban planning and development and aligning policies for a successful and sustainable energy transition.
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Roger Koenker, Gilbert W. Bassett · Econometrica · 1978 · 12.9K citations
General Diagnostic Tests for Cross Section Dependence in Panels
M. Hashem Pesaran · SSRN Electronic Journal · 2004 · 8.2K citations · Full text