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 impact of urbanization on GHG emissions in China: The role of population density
TL;DR: Zhang et al. as discussed by the authors analyzed the relationship between urbanization and greenhouse gas emissions by turning emissions into a per capita term, and extending the impact from the traditional urbanization rate effect to include population density effect.
Journal ArticleDOI
Carbon abatement in China's commercial building sector: A bottom-up measurement model based on Kaya-LMDI methods
TL;DR: Wang et al. as mentioned in this paper presented a bottom-up model for measuring the CACCB values based on decomposing the extended Kaya identity via the Logarithmic Mean Divisia Index (LMDI) method.
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Assessing CO2 emissions in China's iron and steel industry: A dynamic vector autoregression model
Bin Xu,Boqiang Lin,Boqiang Lin +2 more
TL;DR: Zhang et al. as discussed by the authors used vector autoregressive model to analyze the influence of the changes in carbon dioxide emissions in the steel industry and found that energy efficiency plays a dominant role in reducing carbon dioxide emission.
Journal ArticleDOI
The relationships between population factors and China's carbon emissions: Does population aging matter?
Chuanguo Zhang,Zheng Tan +1 more
TL;DR: In this paper, the authors investigated the relationship between population factors and carbon emissions and further explored the impact of population aging on carbon emissions at the national and regional levels based on the STIRPAT model and provincial panel data from China.
Journal ArticleDOI
Driving force analysis of water footprint change based on extended STIRPAT model: Evidence from the Chinese agricultural sector
TL;DR: Zhang et al. as discussed by the authors explored the influencing factors of population, affluence, urbanization level, and diet structure on agriculture products-related water footprint change based on an extended STIRPAT model.
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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