Journal Article10.1016/J.ENPOL.2009.09.005
Carbon dioxide emissions and economic growth: Panel data evidence from developing countries
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TL;DR: In this article, the authors test the Environment Kuznet's Curve (EKC) hypothesis for 43 developing countries and find that carbon dioxide emissions have decreased with a rise in income.
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About: This article is published in Energy Policy. The article was published on 01 Jan 2010. The article focuses on the topics: Income elasticity of demand & Panel data.
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Citations
Türkiye'de Hayvansal ve Bitkisel Üretim Endeksi ile Yük Kapasite Faktörü Arasındaki İlişki: LCC Hipotezi Üzerinden Ampirik Kanıtlar
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TL;DR: This study examines the relationship between the Load Capacity Curve (LCC) hypothesis and agricultural indicators in Turkey, using a novel approach that considers environmental balance on both supply and demand sides, and finds evidence supporting the U-shaped LCC hypothesis.
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Analyzing the effects of Energy Action Plans on electricity consumption in Covenant of Mayors signatory municipalities in Andalusia
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TL;DR: In this article, a permitted deposit due to Funding Body, Institutional and Governmental policy or mandate, may be required to comply with embargo periods of 12 months to 48 months.
Revisiting the environmental kuznets curve hypothesis: evidence from the ASEAN-5 countries with structural breaks
TL;DR: In this paper, the authors test if the Environmental Kuznets Curve (EKC) hypothesis exists for ASEAN-5 countries in an annual sample data that covers 1971-2013, by utilizing Auto Regressive Distributed La...
CO2 Emission, Energy Consumption, and Economic Growth for Turkey: Evidence from a Cointegration Test With a Structural Break
TL;DR: In this article, the existence of a long-run relationship among per capita CO2 emission, per capita income, and per capita energy consumption is examined over the period from 1960 to 2007 in order to test the validity of the environmental Kuznets curve.
References
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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Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors
TL;DR: In this paper, a method for testing the null of no cointegration in dynamic panels with multiple regressors and computing approximate critical values for these tests is presented. But the method is limited to simple bivariate examples, in large part due to the lack of critical values available for more complex multivariate regressions.
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•Posted Content
Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors
TL;DR: In this paper, a method for testing the null of no cointegration in dynamic panels with multiple regressors and computing approximate critical values for these tests is described, which allows for considerable heterogeneity among individual members of the panel, including heterogeneity in both the long-run cointegrating vectors as well as heterogeneity in the dynamics associated with short-run deviations from these coefficients.
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The Rise and Fall of the Environmental Kuznets Curve
TL;DR: A critical history of the environmental Kuznets curve (EKC) can be found in this article, where a new generation of decomposition and efficient frontier models can help disentangle the true relations between development and the environment and may lead to the demise of the classic EKC.
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The local power of some unit root tests for panel data
TL;DR: In this article, the local power of panel unit root statistics against a sequence of local alternatives is studied and the results of a Monte Carlo experiment suggest that avoiding the bias can improve the power of the test substantially.