Results 21 to 30 of about 4,353 (249)

Integrating LMDI and Machine Learning for Industrial Carbon Emissions Analysis

open access: yes
AbstractThe study's objectives are to factorize industrial sector carbon emissions (ISCE) into eleven predetermined factors, predict ISCE and validate the predicted ISCE value. The study uses multiplicative Logarithmic Mean Divisia Index (LMDI), Artificial Neural Network (ANN) and Random Forest (RF) models to examine ISCE between 2000 and 2020.
Jude James   +2 more
openaire   +2 more sources

Assessment of Water Resource Utilization and Analysis of Driving Factors in Zhoushan City Based on Water Footprint Theory and LMDI Model

open access: yesWater
Accurately analyzing the water system’s status in a region is crucial for mitigating water resource constraints on the development of island areas. This study centers on Zhoushan, an archipelago city, and employs the water footprint theory (WFT) and the ...
Jirong Feng   +6 more
semanticscholar   +2 more sources

Analyzing Morocco’s Electricity Consumption Changes with an LMDI Decomposition Model: A Global and Sectoral Perspective [PDF]

open access: yesE3S Web of Conferences, 2023
Over the past decade, Morocco has experienced a surge in electricity demand, driven by economic growth and population expansion. This study aims to delve into the factors influencing electricity consumption in Morocco from 2000 to 2020, examining both ...
Haouraji Charifa   +3 more
doaj   +1 more source

Driving Factors of Carbon Emissions in China's Municipalities: A LMDI Approach [PDF]

open access: yesEnvironmental Science and Pollution Research, 2021
Abstract China, as the world’s largest carbon dioxide emitter, is bound to assume the important responsibility of energy conservation and emission reduction. To this end, each city, led by representative municipalities directly under the Central Government, must enhance efforts in carbon emission reduction to jointly realize China’s low-carbon ...
Yuanxin Liu   +4 more
openaire   +2 more sources

Carbon Transfer Decision Model Based on LMDI Method

open access: yesComputational Intelligence and Neuroscience, 2022
Establishing a coordinated governance mechanism for regional carbon emissions is an essential way to achieve carbon peak and carbon neutrality, while the study of interprovincial carbon emissions transfer is one of the important foundations of regional carbon emissions coordinated governance research.
Yawei Qi   +4 more
openaire   +2 more sources

Dataset for LMDI Decomposition Analysis of Air Pollutants in the Czech Republic from 1990 to 2019

open access: yes, 2021
Datasets for LMDI Decomposition Analysis of Air Pollutants in the Czech Republic from 1990 to 2019. Dataset is aggregated to 42 sectors covering all large combustion sources in R1comb, consistent from 1990 to ...
Rečka, L
core   +2 more sources

Importance of Energy Efficiency in Manufacturing Industries for Climate and Competitiveness

open access: yesEnvironmental and Climate Technologies, 2021
The manufacturing industry in Europe is currently enfacing one of its greatest challenges due to the emission reductions needed to reach carbon neutrality by the middle of this century. The European Union’s Energy Efficiency Directive and Green Deal will
Dolge Kristiāna   +3 more
doaj   +1 more source

Analysis of the Influencing Factors of Regional Carbon Emissions in the Chinese Transportation Industry

open access: yesEnergies, 2020
Global warming caused by excessive emissions of CO2 and other greenhouse gases is one of the greatest challenges for mankind in the 21st century. China is the world’s largest carbon emitter and its transportation industry is one of the fastest ...
Changzheng Zhu, Meng Wang, Yarong Yang
doaj   +1 more source

Exploring the mitigation potential for carbon dioxide emissions in Indonesia’s manufacturing industry: an analysis of firm characteristics

open access: yesCarbon Management, 2022
This study investigates ways to effectively reduce carbon dioxide (CO2) emissions in Indonesia’s manufacturing industry, by firm characteristics. It is important to determine the firm characters that have the greatest potential to decrease CO2 emissions.
Tita Rosita   +4 more
doaj   +1 more source

Analysis of CO2 Drivers and Emissions Forecast in a Typical Industry-Oriented County: Changxing County, China

open access: yesEnergies, 2020
Decomposing main drivers of CO2 emissions and predicting the trend of it are the key to promoting low-carbon development for coping with climate change based on controlling GHG emissions.
Yao Qian   +5 more
doaj   +1 more source

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