Journal ArticleDOI
Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China
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TLDR
In this article, the authors examined the impact factors of population, economic level, technology level, urbanization level, GDP per capita, industrialization level and service level on the energy-related CO2 emissions in Guangdong Province, China from 1980 to 2010 using an extended STIRPAT model.Citations
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Market Integration, Industrial Structure, and Carbon Emissions: Evidence from China
TL;DR: Wang et al. as mentioned in this paper used a two-way fixed effects analysis based on China's provincial panel data from 2003 to 2019 to explore the relationship between market integration and carbon emissions, and they found that market integration can weaken its negative impact on carbon emissions with the industrial upgrade.
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Policy research and energy structure optimization under the constraint of low carbon emissions of Hebei Province in China
Wei Sun,Minquan Ye,Yanfeng Xu +2 more
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The Impact of Economic Growth, Foreign Direct Investment, Urbanization, Fossils Fuel Consumption on Environmental Degradation in Emerging Asian Economies
TL;DR: In this article, the impact of foreign direct investment, urbanization, economic growth, fossil fuel consumption and carbon emissions on carbon emissions in eleven emerging Asian economies was examined. And the conclusions of the investigate also confirm the existence of (EKC) in these eleven emerging Asia economies and also suggest that by lessening the consumption of fossil fuel energy and encouragement of an environmental responsive economic growth policy will be suitable for the affluence in these emerging developing Asian economies.
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A nonlinear interactive grey multivariable model based on dynamic compensation for forecasting the economy-energy-environment system
TL;DR: Li et al. as discussed by the authors developed a nonlinear interactive grey multivariable model based on dynamic compensation, denoted as DCNIGM1,N, to perform the prediction of the 3E system.
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Exploring the driving forces and scenario analysis for China's provincial peaks of CO2 emissions
TL;DR: In this paper , the authors combine the spatial-temporal Logarithmic Mean Division Index with scenario analysis to empirically explore the drivers and peaks of CO2 emissions in 30 provinces in China during 1997 and 2020, considering COVID-19 effects.
References
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Journal ArticleDOI
Ridge regression: biased estimation for nonorthogonal problems
TL;DR: In this paper, an estimation procedure based on adding small positive quantities to the diagonal of X′X was proposed, which is a method for showing in two dimensions the effects of nonorthogonality.
Journal ArticleDOI
Impact of Population Growth
Paul R. Ehrlich,John P. Holdren +1 more
TL;DR: In this paper, the authors argue that population growth causes a disproportionate negative impact on the environment and that the control of population is necessary but not sufficient means of seeing us through the whole crisis of environmental deterioration.
Journal ArticleDOI
Generalized Inverses, Ridge Regression, Biased Linear Estimation, and Nonlinear Estimation
TL;DR: In this article, the authors discuss a class of biased linear estimators employing generalized inverses and establish a unifying perspective on nonlinear estimation from nonorthogonal data.
Journal ArticleDOI
STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts
TL;DR: In this paper, the STIRPAT model is augmented with measures of ecological elasticity, which allows for a more precise specification of the sensitivity of environmental impacts to the forces driving them.
Book
Multicollinearity in Regression Analysis; the Problem Revisited
TL;DR: An attempt is made to define multicollinearity in terms of departures from a hypothesized statistical condition, and measures are proposed here that fill this need.
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