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Investigating the role of environmental taxes and regulations for renewable energy consumption: evidence from developed economies

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In this paper, the role of environmental taxes and regulations for the renewable energy consumption is explored, focusing on reporting policy suggestions to overcome climate change issues an annealing the consumption of renewable energy.
Abstract
The current study aims to explore the role of environmental taxes and regulations for the renewable energy consumption, focusing on reporting policy suggestions to overcome climate change issues an...

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The economic and environmental impact of a carbon tax in Scotland: a computable general equilibrium analysis

TL;DR: In this paper, the authors investigated the economic and environmental impact of a Scottish specific carbon tax under three alternative assumptions about the use of the revenue raised by the tax: revenues raised are not recycled within Scotland; revenues are used to increase general government expenditure or to reduce Scottish income tax.
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Investigating the role of globalization, and energy consumption for environmental externalities: Empirical evidence from developed and developing economies

TL;DR: In this article, the authors explored whether the Environmental Kuznets Curve (EKC) hypothesis holds if the relevant carbon emissions modelling approach includes both energy consumption and the Konjunkturforschungsstelle (KOF) globalization index.
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An outlook on the development of renewable energy, policy measures to reshape the current energy mix, and how to achieve sustainable economic growth in the post COVID-19 era

TL;DR: In this paper , the authors provide a brief overview of demand, supply, and pricing structure of energy products as well as policy mechanisms to provide better outlook about how industrial sector can cope with energy consumption in the post pandemic era.
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Analyzing the role of income inequality and political stability in environmental degradation: Evidence from South Asia

TL;DR: In this paper , the authors examined the role of income inequality and political stability on environmental degradation in four South Asian countries (Pakistan, India, Sri Lanka, and Bangladesh) using second-generation panel data approaches on a Stochastic Impacts by Regression on Population, Affluence, and Technology model (STIRPAT).
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Does nuclear energy consumption contribute to human development? Modeling the effects of public debt and trade globalization in an OECD heterogeneous panel

TL;DR: In this article , the properties of nuclear energy, public debt, trade globalization, and their impacts on human development in a heterogeneous panel of sixteen OECD nations for the dataset from 1990 to 2019 using the novel cross-sectional augmented autoregressive distributed lag model and Dumitrescu and Hurlin panel causality test.
References
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Journal ArticleDOI

Economic Growth and the Environment

TL;DR: The authors examined the relationship between per capita income and various environmental indicators and found no evidence that environmental quality deteriorates steadily with economic growth, rather, for most indicators, economic growth brings an initial phase of deterioration followed by a subsequent phase of improvement.
Posted Content

General Diagnostic Tests for Cross Section Dependence in Panels

TL;DR: In this paper, the authors proposed simple tests of error cross section dependence which are applicable to a variety of panel data models, including stationary and unit root dynamic heterogeneous panels with short T and large N.
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Economic Growth and the Environment

TL;DR: This article examined the relationship between various environmental indicators and the level of a country's per capita income and found no evidence that environmental quality deteriorates steadily with economic growth, rather, for most indicators, economic growth brings an initial phase of deterioration followed by a subsequent phase of improvement.
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Testing for error correction in panel data

TL;DR: This article proposed new error correction-based cointegration tests for panel data, which have good small-sample properties with small size distortions and high power relative to other popular residual-based panel coIntegration tests.
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A gentle introduction to quantile regression for ecologists

TL;DR: Quantile regression is a way to estimate the conditional quantiles of a response variable distribution in the linear model that provides a more complete view of possible causal relationships between variables in ecological processes.
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