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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The Moderating Effect of R&D Investment on Income and Carbon Emissions in China: Direct and Spatial Spillover Insights
TL;DR: In this paper, the authors explored the direct and spatial spillover moderating effects of R&D investment by adopting the panel spatial Durbin model and data of 30 provinces in China during 1998-2015.
Journal ArticleDOI
Analysis on the evolution law and influencing factors of Beijing’s power generation carbon emissions
TL;DR: Wang et al. as mentioned in this paper established a scientific direct carbon emission accounting model for power generation with the bottom-up analysis method, and a decomposition model of the factors influencing carbon emissions from power generation was constructed utilizing the Kaya Identity and LMDI decomposition approach.
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Estimating the multiple impacts of technical progress on Bangladesh’s manufacturing and industrial sector’s CO2 emissions: A quantile regression approach
TL;DR: In this paper , the authors carried out a quantile regression model to analyze the impact of technological progress on CO2 emissions and established the association among the variables, which indicated that these models clarified the driving factor of carbon emissions more than 90%.
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Heterogeneous analysis of pollution abatement via renewable and non-renewable energy: lessons from investment in G20 nations
TL;DR: In this paper , the mediating role of capital investment in energy-pollution link together with other pollution confounders, including trade openness, foreign direct investment, and energy use for G20 economies over the period 1990-2017, was investigated.
Journal ArticleDOI
Examining economic development and carbon emissions in China’s low-carbon pilot provinces
Chen Li,Xiaohu Li,Xigang Zhu +2 more
TL;DR: In this article, the dynamic relationship between economic development and carbon emissions from 1995 to 2013 in China's low-carbon pilot provinces was explored, and a positive linear correlation was found that population size and industrial structure most prominently affect carbon emissions.
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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STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts
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