Journal ArticleDOI
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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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.read more
Citations
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Carbon emissions and economic growth in China: Based on mixed frequency VAR analysis
TL;DR: In this paper , a mixed frequency vector autoregressive model (MF-VAR) was employed to examine the association between carbon emissions and economic growth in China spanning the period from 1992 to 2018, employing variables with distinct frequencies for regression computation.
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Will Trade Protection Trigger a Surge in Investment-Related CO2 Emissions? Evidence from Multi-Regional Input–Output Model
Hao Wu,Haopeng Wang +1 more
TL;DR: In this paper , the effect of global trade protection on investment-related CO2 emissions was investigated in 16 economies in both trade freedom and trade restriction scenarios and it was shown that trade protection is quite disadvantageous to CO2 emission reduction in China and India, and their CO 2 emissions would respectively increase by 105 million and 141.5 million tons compared to normal trade.
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Decomposition and Scenario Analysis of Factors Influencing Carbon Emissions: A Case Study of Jiangsu Province, China
TL;DR: Wang et al. as mentioned in this paper used the logarithmic mean divisia index (LMDI) method and established a revised stochastic impacts by regression on population, affluence, and technology (STIRPAT) model to investigate the effects of four key factors on carbon emissions in Jiangsu province.
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Regional differences and driving factors of carbon emission intensity in China’s electricity generation sector
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Exploring the magnitude threshold of urban PM2.5 concentration: evidence from prefecture-level cities in China
TL;DR: Wang et al. as discussed by the authors focused on the nonlinear response mechanism of urban PM2.5 concentration to the urbanization population scale, considering that China's urbanization development path is dominated by large and medium-sized cities.
References
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Global Change and the Ecology of Cities
Nancy B. Grimm,Stanley H. Faeth,Nancy Golubiewski,Charles L. Redman,Jianguo Wu,Xuemei Bai,John M. Briggs +6 more
TL;DR: Urban ecology integrates natural and social sciences to study these radically altered local environments and their regional and global effects of an increasingly urbanized world.
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Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the ppp hypothesis
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