Journal ArticleDOI
Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China
Reads0
Chats0
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
More filters
Journal ArticleDOI
Examining the effects of education level inequality on energy consumption: Evidence from Guangdong Province.
Shaojian Wang,Zihan Xie,Rong Wu +2 more
TL;DR: The quality of the education within the population was found to increase energy consumption in the non-Pearl River Delta region, while this did not significantly impact on energy consumption within the Pearl River Delta.
Journal ArticleDOI
Asymmetric nexus between urban agglomerations and environmental pollution in top ten urban agglomerated countries using quantile methods
TL;DR: In this article, the authors empirically examined the crucial nexus between urban agglomerations and environmental degradation in top ten cities in the world from 1960Q1 to 2014Q4 and found that excessive levels of urban concentration in big cities cause environmental degradation, which could be attributed to extreme population density, overcrowding, traffic congestion and extensive demand for energy consumption.
Journal ArticleDOI
Investigating the differentiated impacts of socioeconomic factors and urban forms on CO2 emissions: Empirical evidence from Chinese cities of different developmental levels
TL;DR: Wang et al. as discussed by the authors explored how socioeconomic factors and urban forms work together to affect CO2 emissions with the consideration of differences in development levels of five city tiers in China, and concluded that urban spatial development with a compact and multiple-nuclei pattern is closely linked with a lower level of CO2 emission.
Journal ArticleDOI
Do different sizes of urban population matter differently to CO2 emission in different regions? Evidence from electricity consumption behavior of urban residents in China
TL;DR: In this article, the impact of urban population size on residential electricity consumption in different stages of population urbanization was investigated in the eastern, central and western regions of mainland China respectively during 2000-2016.
Journal ArticleDOI
Does decreasing working time reduce environmental pressures? New evidence based on dynamic panel approach
TL;DR: In this paper, a dynamic panel regression approach for 55 countries worldwide over the period 1980-2010, and employing carbon emissions per capita as the environmental indicator, was applied to investigate the relationship between hours of work and environmental impacts.
References
More filters
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.
Related Papers (5)
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
Chuanguo Zhang,Yan Lin +1 more