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
A research about Beijing's carbon emissions based on the IPSO-BP model
Lei Wen,Yanjun Liu +1 more
TL;DR: Through empirical analysis of carbon emissions and its driven factors in Beijing city from 1978 to 2012, IPSO‐BP is found to be a good method to make carbon emissions' forecast as it can improve the global optimization ability of traditional IPSO and BP algorithm.
Journal ArticleDOI
Spatial effect of factors affecting household CO2 emissions at the provincial level in China: a geographically weighted regression model
Yanan Wang,Minjuan Zhao,Wei Chen +2 more
TL;DR: The size of household CO2 emissions (HCE) has drawn increasing attention recently as mentioned in this paper, due to differences in geographical location, traditional models do not provide a valid basis or countermeasures fo...
Journal ArticleDOI
Investigating the impacts of three-dimensional spatial structures on CO2 emissions at the urban scale.
TL;DR: The results indicate that the total building volume is the largest driving force accelerating CO2 emissions due to the massive consumption of energies for human activities during rapid urbanization, and suggest the compact patterns of three-dimensional urban structures should be controlled within a reasonable range to avoid moreCO2 emissions caused by excessive centralization and aggregation.
Journal ArticleDOI
Improvement to flooding risk assessment of storm surges by residual interpolation in the coastal areas of Guangdong Province, China
Xina Wang,Xina Wang,Xianwei Wang,Jianqing Zhai,Xiucang Li,Huabing Huang,Chunmei Li,Jing Zheng,Haiyan Sun +8 more
TL;DR: In this paper, the authors developed a residual interpolation method to estimate the extreme TWL t for those areas without standard tide gauges, which can better capture the spatial variability of the storm tide than the traditionally total interpolation, thus offering better supports for coastal development planning and flooding hazards risk management.
Journal ArticleDOI
Spatial heterogeneity of demographic structure effects on urban carbon emissions
Lan-Ye Wei,Zhao Liu +1 more
TL;DR: Zhang et al. as mentioned in this paper used the Geographically weighted regression model to study the spatial heterogeneity of demographic structure changes on carbon emissions and the corresponding mechanism at the micro-level.
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