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Renewable energy, carbon emission and economic growth : A revised environmental Kuznets Curve perspective

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TLDR
In this paper, a U-shaped RKC (renewable energy Kuznets curve) hypothesis between renewable energy consumption rate and economic growth was proposed and the dynamic relationship between RER and the Environmental Kuznet Curve (EKC) hypothesis was examined.
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This article is published in Journal of Cleaner Production.The article was published on 2019-10-20. It has received 199 citations till now. The article focuses on the topics: Kuznets curve.

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Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: Evidence from organisation for economic Co-operation and development countries

TL;DR: In this paper, the authors examined the validity of Environmental Kuznets Curve hypothesis for ecological footprint with the role of renewable energy use, non-renewable energy use and trade openness in 24 Organisation for Economic Co-operation and Development countries.
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The impact of renewable energy on carbon emissions and economic growth in 15 major renewable energy-consuming countries.

TL;DR: The main purpose of this article is to use both growth and environmental functions to demonstrate the effectiveness of renewable energy in promoting economic growth and mitigating carbon emissions in the case of 15 major renewable energy-consuming countries using both fully modified ordinary least square (FMOLS) and vector error correction model (VECM) estimation techniques.
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An assessment of environmental sustainability corridor: The role of economic expansion and research and development in EU countries

TL;DR: The current further validates that the Environmental Kuznet Curve Hypothesis holds for this panel of EU countries examined and affirms that nonrenewable energy consumption and economic growth increase carbon emission flaring while renewable energy consumption declines ecological footprint.
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The role of environmental entrepreneurship for sustainable development: Evidence from 35 countries in Sub-Saharan Africa.

TL;DR: The key results are: income per capita significantly increases environmental pollution where environmental entrepreneurship decreases pollution of the environment across all panels of SSA countries; and the environmental Kuznets curve conjuncture is supported for the selected panels in SSA region.
References
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Journal ArticleDOI

Testing for unit roots in heterogeneous panels

TL;DR: In this article, a unit root test for dynamic heterogeneous panels based on the mean of individual unit root statistics is proposed, which converges in probability to a standard normal variate sequentially with T (the time series dimension) →∞, followed by N (the cross sectional dimension)→∞.
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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.
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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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Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the ppp hypothesis

TL;DR: This paper examined properties of residual-based tests for the null of no cointegration for dynamic panels in which both the short-run dynamics and the long-run slope coefficients are permitted to be heterogeneous across individual members of the panel.
Journal ArticleDOI

Statistical Inference in Instrumental Variables Regression with I(1) Processes

TL;DR: In this paper, the authors study the asymptotic properties of instrumental variable estimates of multivariate cointegrating regressions and allow for deterministic and stochastic regressors as well as quite general deterministic processes in the data generating mechanism.
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