Journal ArticleDOI
Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China
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 Effects of Coal Switching and Improvements in Electricity Production Efficiency and Consumption on CO2 Mitigation Goals in China
Li Li,Jianjun Wang +1 more
TL;DR: Wang et al. as mentioned in this paper examined the effects of coal switching, efficiency improvements in thermal power generation and the electricity consumption of economic activities on realizing the goal of reducing CO2 emissions by developing an improved STIRPAT model.
Journal ArticleDOI
Effects of Landscape Development Intensity on River Water Quality in Urbanized Areas
TL;DR: Wang et al. as mentioned in this paper explored the correlation between the landscape development intensity indexes and river water quality through redundancy analysis, and found that the impervious surface rate and the land average fixed asset investment are the key indexes to affect river quality.
Journal ArticleDOI
Exploring the drivers of energy consumption-related CO2 emissions in China: a multiscale analysis
TL;DR: In this paper, the authors examined the drivers of energy consumption-related CO2 emissions in China during 1978-2014 from a multiscale perspective, and proposed the policy implications at short, medium, and long timescales.
Journal ArticleDOI
The Change of Sources of Growth and Sustainable Development in China: Based on the Extended EKC Explanation
Huaide Wen,Jun Dai +1 more
TL;DR: Wang et al. as discussed by the authors extended the "sources of growth" explanation for the Environmental Kuznets Curve (EKC) proposed by Copeland and Taylor in a concise theoretical framework, that is, when the sources of growth are transformed from physical capital and labor to human capital and knowledge, the environmental pollution could at first rise and then fall with a sustainable growth in per capita income.
Journal ArticleDOI
Can Environmental Quality Improvement and Emission Reduction Targets Be Realized Simultaneously? Evidence from China and A Geographically and Temporally Weighted Regression Model.
Feng Dong,Yue Wang,Xiaojie Zhang +2 more
TL;DR: The empirical results support pertinent suggestions for controlling future emissions, such as optimizing energy mix and reinforcing government regulation, based on carbon density and a geographically and temporally weighted regression 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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STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts
Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China
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