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The effect of urbanization, energy consumption, and foreign direct investment on the carbon dioxide emission in the SSEA (South and Southeast Asian) region

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TLDR
In this paper, the authors examined the relationship between urbanization, energy consumption, foreign direct investment (FDI), and carbon dioxide (CO2) emission of 17 countries in the South and Southeast Asian (SSEA) region during the period 1980-2012.
Abstract
This study examines the relationship between urbanization, energy consumption, foreign direct investment (FDI), and carbon dioxide (CO2) emission of 17 countries in the South and Southeast Asian (SSEA) region during the period 1980–2012. In order to find out the intensity of CO2 emission in 17 countries, we classify the total sample countries into three sub-groups, namely high, middle, and low-income countries. These three sub-panels are constructed based on their gross national income per capita of countries. Pedroni cointegration result shows that urbanization; primary energy consumption, FDI, and CO2 emission are cointegrated in all sub-groups of countries, regardless of their levels of national income per capita. Furthermore, while incorporating the fossil fuel energy consumption in place of primary energy consumption in the alternative specification of regression, the result suggests a cointegrating relationship between fossil fuel energy consumption, FDI, urbanization, and CO2 emission in middle-income countries. Nevertheless, Westerlund cointegration results are more or less in the line of Pedroni results. Furthermore, the results reveal that primary energy consumption, fossil fuel energy consumption, and FDI are substantially affecting the CO2 emission in the SSEA region. Moreover, the empirical findings suggest that in middle-income countries, both primary and fossil fuel energy consumption are considerably increasing the CO2 emission, and leading to greenhouse gas problem in the SSEA region.

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Urbanization, economic growth, energy consumption, and CO2 emissions: Empirical evidence from countries with different income levels

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References
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TL;DR: In this paper, the authors investigated the determinants of carbon dioxide emissions (CO2) for a global panel consisting of 69 countries using a dynamic panel data model to make the panel data analysis more homogenous.
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The effect of urbanization on CO2 emissions in emerging economies

TL;DR: The authors used panel regression techniques that allow for heterogeneous slope coefficients and cross-section dependence to model the impact that urbanization has on CO2 emissions for a panel of emerging economies.
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Panel unit root tests under cross-sectional dependence

TL;DR: In this paper, a robust version of the Dickey-fuller t-statistic under contemporaneous correlated errors is suggested, which is based on the tstatistic of the transformed model.
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Panel Unit Root Tests under Cross- sectional Dependence

TL;DR: In this article, a robust version of the Dickey-Fuller t-statistic under contemporaneous correlated errors is suggested, which is based on the tstatistic of the transformed model, and the test procedure is further generalized to accommodate individual specific intercepts.
Journal ArticleDOI

The Impact of Urbanization on CO2 Emissions: Evidence from Developing Countries

TL;DR: In this article, the impact of urbanization on CO2 emissions in developing countries from 1975 to 2003 is analyzed. And the authors show an inverted-U shaped relationship between urbanization and CO 2 emissions, which is in accordance with the higher environmental impact observed in less developed regions.
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Furthermore, the results reveal that primary energy consumption, fossil fuel energy consumption, and FDI are substantially affecting the CO2 emission in the SSEA region.