Journal ArticleDOI
Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China
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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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Impact of population aging and industrial structure on CO2 emissions and emissions trend prediction in China
Yang Yu,Yu-ru Deng,Fei-fan Chen +2 more
TL;DR: In this paper, the impact factors of CO2 emissions are analyzed by the ridge regression method based on an extended STIRPAT model in terms of the current status of demographic and industrial structure.
Journal ArticleDOI
LMDI decomposition of energy consumption in Guangdong Province, China, based on an energy allocation diagram
TL;DR: In this paper, the authors analyzed the influencing factors of energy consumption growth in Guangdong Province using the logarithmic mean divisia index I (LMDI) decomposition method developed based on the physical processes of energy utilization from the primary energy supply to end-use sectors.
Journal ArticleDOI
Spatial correlation of factors affecting CO2 emission at provincial level in China: A geographically weighted regression approach
TL;DR: Wang et al. as mentioned in this paper examined the impact of urbanization, industrial structure and energy intensity on CO2 emissions and revealed the spatial correlation in different provinces in 2005, 2008, 2011 and 2015.
Journal ArticleDOI
Identifying major influencing factors of CO2 emissions in China: Regional disparities analysis based on STIRPAT model from 1996 to 2015
Sicong Zhang,Tao Zhao +1 more
TL;DR: In this article, 30 provinces are divided into three areas (advantageous area, potential area and backward area) from 1996 to 2015 by factor analysis and cluster analysis according to the different social development which is measured by urbanization, economy, energy utilization, industry and technology.
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Features and influencing factors of carbon emissions indicators in the perspective of residential consumption: Evidence from Beijing, China
Zhaohua Wang,Yuantao Yang +1 more
TL;DR: In this paper, the authors established a residential indirect carbon emissions model through input-output structure decomposition analysis (IO-SDA) and LMDI, and analyzed the influencing factors affecting urban and rural residential carbon emissions indicators in Beijing through inputoutput tables from 2000 to 2010, and calculated the direct carbon emissions from residential consumption.
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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