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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Dynamic nexus among tourism, corruption, democracy and environmental degradation: a panel data investigation
TL;DR: In this article, the authors make an empirical investigation of the relationships among corruption, democracy, tourism and environmental degradation, with carbon dioxide (CO2) emissions acting as a hazard to environment in selected low-, lower-middle-, upper-middle, and high-income countries.
Journal ArticleDOI
Export diversification, CO2 emissions and EKC: panel data analysis of 125 countries
Hongbo Liu,Hanho Kim,Justin Choe +2 more
TL;DR: In this article, a cross-country regression analysis of international trade and carbon emissions using data on export diversification across 125 countries from 2000 to 2014 at the HS4 digit of disaggregation is explored.
Journal ArticleDOI
Energy-related CO2 emission peaking target and pathways for China's city: A case study of Baoding City
TL;DR: In this paper, the authors analyzed the main influencing factors of Baoding's emissions, and then predicted its CO2 emissions peak and its time under different scenarios, and provided a reference and experience for other cities in developing strategies to achieve the carbon emission peak, which has important practical significance for China to achieve peak carbon emissions as soon as possible.
Journal ArticleDOI
Spatial econometric analysis of China’s PM10 pollution and its influential factors: Evidence from the provincial level
TL;DR: Wang et al. as mentioned in this paper investigated the spatial features and the influential socioeconomic factors of province-level PM10 concentrations in China using Moran's I index and spatial analysis approaches, namely, the spatial lag model (SLM) and spatial error model (SEM).
Journal ArticleDOI
The Dynamic Linkage between Income,Energy Consumption, Urbanization and CarbonEmissions in Pakistan
TL;DR: In this article, the authors highlighted whether gross domestic product (GDP), energy consumption and urbanization affect Carbon dioxide (CO2) emissions covering the time span 1972-2014 in Pakistan.
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
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