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
Enhanced nitrogen and phosphorus flows in a mixed land use basin: Drivers and consequences
Songyan Jiang,Hui Hua,Helen P. Jarvie,Xuewei Liu,You Zhang,Hu Sheng,Xin Liu,Ling Zhang,Zengwei Yuan +8 more
TL;DR: In this paper, the authors developed an Integrated Nutrient Flow Analysis (INFA) model to assess the changes in nutrient flows of the Chaohu Lake basin from 1978 to 2015, and found a decline trend in the N:P ratio of nutrient input and accumulation since the mid-1990s.
Journal ArticleDOI
Analysis on the regional difference and impact factors of CO2 emissions in China
Erqian Cui,Lijun Ren,Haoyu Sun +2 more
TL;DR: Based on the energy-related data of CO2 emissions in eight economic zones from 2000 to 2012, Wang et al. as discussed by the authors built a STIRPAT-based multivariate linear model fitted by a ridge regression to examine the relationships between net CO 2 emissions and a list of socioeconomic factors, including GDP per capita, population, energy intensity, and urbanization level.
Journal ArticleDOI
Dynamic Changes, Spatiotemporal Differences and Factors Influencing the Urban Eco-Efficiency in the Lower Reaches of the Yellow River.
TL;DR: The results of this study show that urban eco-efficiency in the lower reaches of the Yellow River is improving; but the regional coordination is poor and the overall eco- efficiency has not reached the optimal level.
Journal ArticleDOI
Relationships between fluctuations of environmental regulation, technological innovation, and economic growth: a multinational perspective
TL;DR: In this paper, the authors investigate how fluctuations of environmental regulation influence a nation's economic growth while also examining the mediating effect of technological innovation and reveal that technological innovation is revealed to have a mediating influence on the relationship between environmental regulation fluctuation to economic growth.
Journal ArticleDOI
The drivers of energy-related CO2 emissions in Brazil: a regional application of the STIRPAT model
Eduardo Polloni-Silva,Naijela Janaina Costa Silveira,Diogo Ferraz,Diogo Ferraz,Diogo Ferraz,Diego Scarpa de Mello,Herick Fernando Moralles +6 more
TL;DR: In this article, the authors used the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model and regional data on the 27 Brazilian states to investigate the growth-CO2 nexus under distinct development stages.
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