Results 101 to 110 of about 1,927 (207)

LMDI and STIRPAT Analysis of Carbon Emissions in the Chengdu-Chongqing Region: An Industrial Advancement Perspective [PDF]

This study investigates the driving factors of carbon emissions in the Chengdu-Chongqing urban agglomeration, a key economic region in western China, using the LMDI decomposition method and the STIRPAT model.
Qiannian, Zhang
core   +1 more source

Can coal-resource cities achieve high-quality coordination of industry, environment, and carbon? Evidence from Huainan, China

Environmental and Sustainability Indicators
Coal-resource-based cities face the dual challenge of sustaining economic growth while mitigating environmental degradation and carbon emissions. Understanding the interactions among industrial structure, ecological environment, and carbon emissions is ...
Huijun Wu, Chang Su, Yu Zhang, Meng Li, Xiaomin Kong, Yanjun Liu, Liangmin Gao   +6 more
doaj   +1 more source

Research on Rural Nonpoint Source Pollution in the Process of Urban-Rural Integration in the Economically-Developed Area in China Based on the Improved STIRPAT Model

, 2015
The process of urban-rural integration has led to severe ecological environmental pollution in rural areas of China, particularly in the economically-developed areas. This is an urgent issue to be solved. We select Jiangsu Province as a case study.
Tao Sun, Kun Zhang, Wen Guo, Hongjun Dai
core   +1 more source

Regresión con variables ortogonales y regresión alzada en el modelo STIRPAT

, 2019
STIRPAT model is one of the most analyzed methodologies in environmental studies. The specification of this econometric model provokes multicollinearity.
García García, Claudia, Salmerón Gómez, Román, García García, Catalina B., García Pérez, José   +3 more
core   +1 more source

Institutions and carbon emissions: an investigation employing STIRPAT and machine learning methods

Empirical Economics
AbstractWe employ an extended Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model combined with the environmental Kuznets curve and machine learning algorithms, including ridge and lasso regression, to investigate the impact of institutions on carbon emissions in a sample of 22 European Union countries over 2002 to ...
Arusha Cooray, İbrahim Özmen
openaire   +2 more sources

Visual Analytics of China’s Annual CO₂ Emissions: Insights, Limitations, and Future Directions

Atmosphere
Growing global concern over greenhouse gas emissions has led to a demand for understanding and addressing carbon emissions, with China being one of the main contributors to global carbon emissions, committed to reach the carbon peak by 2030. As a result,
Shun Li, Jie Hua, Shuyang Hua
doaj   +1 more source

Regresión con variables ortogonales y regresión alzada en el modelo STIRPAT/The Regression with Orthogonal Variables and the Raise Regression in the STIRPAT Model

El modelo STIRPAT representa una de las metodologías más aplicadas en los trabajos sobre medio ambiente. La propia especificación de este modelo econométrico conlleva problemas de multicolinealidad.
GARCÍA GARCÍA, CLAUDIA, GARCÍA PÉREZ, JOSÉ, GARCÍA GARCÍA, CATALINA, SALMERÓN GÓMEZ, ROMÁN   +3 more
core  

A STIRPAT–RF framework analyzing GHG emission mechanisms and trajectories in China’s AFOLU sector

Environmental Challenges
Agriculture, forestry and other land use (AFOLU) is simultaneously a source of greenhouse-gas emissions and a means of atmospheric carbon removal, yet these two functions are often assessed separately and projected without consistent accounting ...
Ying Cai, Yi Xu, Fan Zhang
doaj   +1 more source

Environmental impact of China: analysis based on the STIRPAT model [PDF]

, 2008
Assuming that energy consumption is the main source of emissions in China, this article considers the influence on the environment of the exhaust emissions producedin the process of consuming energy as China's environmental impact.
Zhao, D., Lin, Shoufu, Marinova, Dora
core  

Industrialization and Inclusive Growth on Business Environmental Quality: Evidence From Developing Countries

SAGE Open
The contributive effect of industrialization (INDU), urbanization (URB), trade openness (TOR), energy use (ENR), net inflow (FDI), and inclusive growth (INGP) on environmental quality remains a critical global concern, particularly in emerging economies ...
Ben Etim Udoh, Enemuo Joy Ifeoma, Ishaku Prince Abner, Itiowe Grateful Ojurereoluwa, Okechi Obiora Anthony, Emmanuel Samuel Udo   +5 more
doaj   +1 more source