A note on the environmental Kuznets curve for CO2: A pooled mean group approach

Iwata, Hiroki; Okada, Keisuke; Samreth, Sovannroeun

doi:10.1016/j.apenergy.2010.11.005

Cited by 127 publications

(50 citation statements)

References 27 publications

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“…This study avoids the construction of an ad-hoc model in analyzing changes in CO 2 emissions regarding changes in nuclear power proportion in this respect, but adds nuclear power proportion as an additional variable to the well-known EKC model. A similar attempt is utilized by Iwata et al [5][6][7]. It is expected that β 1 has a positive value while β 2 has a negative one if the EKC hypothesis is valid for (7).…”

Section: The Ekc Hypothesis For the Modelmentioning

confidence: 97%

“…Recently, several studies attempted to investigate the relationship between nuclear power and CO 2 emissions in the context of the environmental Kuznets curve (EKC) framework [5][6][7]. The original EKC hypothesis presumes an inverse U-shaped relationship between environmental pollution and income per capita (we refer readers to Kaika and Zervas [8] for an extensive overview of this topic).…”

Section: Introductionmentioning

confidence: 99%

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Analyzing the Impact of Nuclear Power on CO2 Emissions

2017

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This study investigates the relationship between the nuclear power proportion and CO 2 emissions per capita using the panel dynamic ordinary least square method. The panel datasets consist of 18 countries covering 95% of the global nuclear reactors. The results indicate that a long-term 1% increase in nuclear power led to a 0.26-0.32% decrease in CO 2 emissions per capita. Additionally, in France, Germany, and Switzerland they demonstrate the existence of the environmental Kuznets curve-an inverted U-shaped relationship between environmental pollution and income per capita.

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Section: The Ekc Hypothesis For the Modelmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Analyzing the Impact of Nuclear Power on CO2 Emissions

2017

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“…They concluded that inflation has a negative impact on financial development in the long-run; however, it has a positive impact in the short-run. Moreover, Kim et al (2010aKim et al ( , 2010b, and Iwata et al (2011) used the PMG estimation empirical model, and found that in both the short-and the long-run, the directions of influence in between the variables are significantly different. As discussed above, the PMG estimation method is a very useful tool for processing topics pertaining to the correlation between the long-and short-run.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The controversy over the existence of the long-run relationship between the stock price and the exchange rate is the main motivation of this study. As shown in Kim and Lin (2010), Suen (2010a, 2010b), and Iwata, Okada, and Samreth (2011), the empirical results using Pooled Mean Group (PMG) can display the long-and short-run relationships of the variables, thus explaining the contradictions among the above-mentioned studies.…”

Section: Introductionmentioning

confidence: 99%

Dynamic heterogeneous panel analysis of the correlation between stock prices and exchange rates

Lee

Wang

2015

Economic Research-Ekonomska Istraživanja

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This article uses quarterly data from 29 countries, during the period from the first quarter of 2000 to the second quarter of 2011, and the Pooled Mean Group (PMG) method to estimate the dynamic heterogeneous panel data model and to verify the correlation between stock prices and exchange rates. According to empirical results, the stock market and the foreign exchange market have a long-run co-integration relationship. In the short-run, the stock market and the foreign exchange market are negatively correlated, supporting the viewpoints of the portfolio approach. However, using the error-correction adjustment process, the long-run relationship between the two is positive, supporting the results of the traditional approach. This study suggests that the viewpoints of both the portfolio approach and the traditional approach can co-exist through long-and short-run adjustments.

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“…The EKC literature seeks to determine whether there is an inverted-U relationship between GDP per capita and emissions or other environmental impact measure per capita. When the dependent variable is carbon emissions per capita, these studies are sometimes referred to as estimating Carbon Kuznets Curves or CKC (Iwata et al 2011 and2012 are recent examples). The EKC/CKC literature posits that pollution first rises with income and then falls after some threshold level of income/development is reached (Liddle 2013a presents a detailed review/explanation of the differences between the STIRPAT model and other socio-economic models/literatures like the EKC and energy-GDP causality).…”

Section: Introductionmentioning

confidence: 99%

What are the carbon emissions elasticities for income and population? Bridging STIRPAT and EKC via robust heterogeneous panel estimates

Liddle

2015

Global Environmental Change

252

108

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Knowledge of the carbon emissions elasticities of income and population is important both for climate change policy/negotiations and for generating projections of carbon emissions. However, previous estimations of these elasticities using the well-known STIRPAT framework have produced such wide-ranging estimates that they add little insight. This paper presents estimates of the STIRPAT model that address that shortcoming, as well as the issues of cross-sectional dependence, heterogeneity, and the nonlinear transformation of a potentially integrated variable, i.e., income. Among the findings are that the carbon emissions elasticity of income is highly robust; and that the income elasticity for OECD countries is less than one, and likely less than the non-OECD country income elasticity, which is not significantly different from one. By contrast, the carbon emissions elasticity of population is not robust; however, that elasticity is likely not statistically significantly different from one for either OECD or non-OECD countries. Lastly, the heterogeneous estimators were exploited to reject a Carbon Kuznets Curve: while the country-specific income elasticities declined over observed average income-levels, the trend line had a slight U-shape.Keywords: Carbon Kuznets Curves; Kaya identity; population and environment; nonstationary panels; cross sectional dependence; nonlinearities in environment and development. AcknowledgementsThe Pesaran (2004)

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A note on the environmental Kuznets curve for CO2: A pooled mean group approach

Cited by 127 publications

References 27 publications

Analyzing the Impact of Nuclear Power on CO2 Emissions

Analyzing the Impact of Nuclear Power on CO2 Emissions

Dynamic heterogeneous panel analysis of the correlation between stock prices and exchange rates

What are the carbon emissions elasticities for income and population? Bridging STIRPAT and EKC via robust heterogeneous panel estimates

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