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The impact of financial development, political institutions, and urbanization on environmental degradation: evidence from 59 less-developed economies
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This paper explored the bearing of financial development, political institutions, urbanization, and trade openness on CO2 emanations in a group of 59 less-developed countries, over the period of 1996-2016.Abstract:
This study endeavors to explore the bearing of financial development, political institutions, urbanization, and trade openness on CO2 emanations in a group of 59 less-developed countries, over the period of 1996–2016. In order to estimate environmental impacts of aforementioned series, we used cross-sectionally weighted Estimated Generalized Least Square (EGLS) methodology, Arellano-Bond Generalized Method of Moment (A-B GMM), and Orthogonal-Deviation GMM (O-D GMM). The study finds that financial development, urbanization, composition effect (measured by capital/labor ratio) and energy consumption deteriorate environmental quality. Our results confirmed the prevalence of Environmental Kuznets Curve (EKC) proposition which undertakes upturned-U shape bond amid economic growth and pollution emanations. Furthermore, institutions and foreign trade are found to have beneficial environmental impact. This study suggests resilient institutional reforms and comprehensively integrated environmental quality concerns in financial reforms to help to mitigate pollution emanations and achieve sustained economic growth in less-developed economies.read more
Citations
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Climate change 2014 - Mitigation of climate change
TL;DR: The work of the IPCC Working Group III 5th Assessment report as mentioned in this paper is a comprehensive, objective and policy neutral assessment of the current scientific knowledge on mitigating climate change, which has been extensively reviewed by experts and governments to ensure quality and comprehensiveness.
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Empirical Study on the Environmental Kuznets Curve for CO2 in France: The Role of Nuclear Energy
TL;DR: In this article, the authors estimate the environmental Kuznets curve in the case of France by taking the role of nuclear energy in electricity production into account, and examine the stability of the estimated models and investigate the Granger causality relationships between the variables in the system.
Journal ArticleDOI
The impacts of renewable energy, financial inclusivity, globalization, economic growth, and urbanization on carbon productivity: Evidence from net effects of moderation and mediation of energy efficiency gains
TL;DR: In this paper , the authors make an attempt to evaluate whether energy efficiency gains, along with renewable energy use, financial inclusion, economic growth, globalization, and urbanization, improve carbon productivity in the emerging seven countries between 2007 and 2018.
Determinants of Environmental Degradation in Thailand: Empirical Evidence from ARDL and Wavelet Coherence Approaches
Tomiwa Sunday Adebayo,Gbenga Daniel Akinsola,Jamiu Adetola Odugbesan,Victoria Olushola Olanrewaju +3 more
TL;DR: In this article, the authors explored long-run and causal effects of financial development, real growth, urbanization, gross capital formation and energy consumption on CO2 emissions in Thailand by utilizing recent econometric techniques.
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Regional underdevelopment and terrorism: The case of south eastern Turkey
Mete Feridun,Selami Sezgin +1 more
TL;DR: In this article, the authors investigated the role of the regional underdevelopment of South Eastern Turkey in the ensuing terrorism in the country and found evidence that agriculture and government services are more important components of GDP in explaining terrorism than factors such as trade, construction, manufacturing and transportation.
References
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Journal ArticleDOI
Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations.
Manuel Arellano,Stephen Bond +1 more
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Journal ArticleDOI
Another look at the instrumental variable estimation of error-components models
Manuel Arellano,Olympia Bover +1 more
TL;DR: In this paper, a framework for efficient IV estimators of random effects models with information in levels which can accommodate predetermined variables is presented. But the authors do not consider models with predetermined variables that have constant correlation with the effects.
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Specification Tests in Econometrics
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