Results 91 to 100 of about 1,927 (207)

International Trade and CO2 Emissions: A Dynamic Panel Data Analysis by the STIRPAT Model [PDF]

, 2016
This paper focuses on the study of the effect of international trade on CO2 emissions. The study focuses on a dynamic panel of 176 countries over the period 1995-2012. On the first hand, we will proceed to the estimation of STIRPAT model.
ZINEB, Sélima BEN
core   +1 more source

Evaluating the Environmental Phillips Curve Hypothesis in the STIRPAT Framework for Finland

Sustainability
In the context of increasing concerns about environmental sustainability and economic growth, this study evaluates the Environmental Phillips Curve hypothesis within Finland’s STIRPAT framework from 1990 to 2022. Finland is renowned for its commitment to environmental policies and renewable energy innovations, yet it faces challenges in balancing ...
Jani Kinnunen, Irina Georgescu, Ionuț Nica   +2 more
openaire   +1 more source

Urban density and climate change: a STIRPAT analysis using city-level data [PDF]

Journal of Transport Geography, 2013
Two important, increasing trends for those concerned about climate change to consider are urbanization/the importance of cities and energy used in transport—particularly energy used to achieve personal mobility. While national urbanization levels are not a good indicator of urban transport demand, there is an established negative relationship between ...
openaire   +2 more sources

Technological innovation and carbon dioxide emissions in Nigeria using an EKC STIRPAT VECM framework with artificial neural network robustness

Discover Environment
Developing economies such as Nigeria face mounting pressure to sustain economic growth while reducing carbon dioxide (CO₂) emissions, yet empirical evidence on whether technological innovation can meaningfully decouple growth from emissions in African ...
Seun Adebanjo, Emmanuel Banchani, Solberg Horve Mishiwo, Benjamin Adejumo   +3 more
doaj   +1 more source

Spatiotemporal Dynamics of Carbon Emission Intensity from Cultivated Land in Arid Xinjiang, China (2000–2020)

Agronomy
Against the global push for “carbon peak and carbon neutrality” and Xinjiang’s role as a major arid-region agricultural base in China, balancing agricultural development with low-carbon transitions remains challenging due to its fragile ecology and ...
Yong Guo, Hongguang Liu, Ping Gong, Pengfei Li, Yufang Li, Yingsheng Dang, Mingyue Sun, Yibin Xu, Jingrun Wang, Qiang Meng   +9 more
doaj   +1 more source

Carbon Emission Prediction in Industrial Zones Using IGWO-Optimized SVM and STIRPAT

Informatica
With the continuous advancement of technology, carbon emission prediction results have become increasingly reliable. However, traditional carbon emission prediction methods face limitations in data and uncertainty, requiring substantial experimental resources and data.
Jianguan Xin, Jianzhong Yang, Huirong Chen   +2 more
openaire   +1 more source

Modelling the impact of energy consumption and environmental sanity in Turkey: A STIRPAT framework

Procedia Computer Science, 2017
Abstract This study examines the causal relationship between energy consumption and the economic growth of Turkey. The analysis was conducted within the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) framework. This is a salient improvement from the previous studies because this unique method permits synergetic ...
Saifullahi Sani Ibrahim, Aysem Celebi, Huseyin Ozdeser, Nuriye Sancar   +3 more
openaire   +1 more source

What Are the Carbon Emissions Elasticities for Income and Population? Bridging STIRPAT and EKC via robust heterogeneous panel estimates [PDF]

, 2015
Knowledge of the carbon emissions elasticities of income and population is important both for climate change policy/negotiations and for generating projections of carbon emissions.
Liddle, Brantley
core   +2 more sources

The Effect of Ecological Elasticity in Taiwan’s Carbon Reduction Policies: The STIRPAT Model

Journal of Management and Sustainability, 2016
<p>The challenges from the climate change and the global warming have become one of the most important issues to solve in the world. Under the Kyoto Protocol, countries which have signed the Kyoto Protocol have faced the pressure of reducing greenhouse gas emissions.
Po-Young Chu, Yu-Ling Lin, Cyuan-Sian Guo   +2 more
openaire   +1 more source

Towards Carbon Neutrality: A Novel STIRPAT- XGBoost-SHAP Framework for Provincial Energy Transition Prediction in China

China's commitment to carbon neutrality by 2060 demands accurate and interpretable forecasting tools at the provincial level. This study develops and validates a hybrid framework integrating the STIRPAT model, XGBoost machine learning, and SHAP ...
Lu, Qian, Khaw, Khai Wah, Chew, Xin Ying, Yeong, Wai Chung, Ng, Wei Chien   +4 more
core   +1 more source