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Assessment of land use change and carbon emission: A Log Mean Divisa (LMDI) approach [PDF]

open access: yesHeliyon
Changes in land use have a notable influence on carbon emissions since they can affect the levels of carbon stored in both soil and vegetation. To effectively analyze the factors influencing carbon emissions from land use change, the Log Mean Divisa ...
Liang Wang
exaly   +6 more sources

Python-LMDI: A Tool for Index Decomposition Analysis of Building Carbon Emissions [PDF]

open access: yesBuildings, 2022
A timely analysis for carbon emission reduction in buildings is an effective global response to the crisis of climate change. The logarithmic mean Divisia index (LMDI) decomposition analysis approach has been extensively used to assess the carbon ...
Xin Ma, Weiguang Cai, Minda Ma
exaly   +6 more sources

The Application and Evaluation of the LMDI Method in Building Carbon Emissions Analysis: A Comprehensive Review [PDF]

open access: yesBuildings
The Logarithmic Mean Divisia Index (LMDI) method is widely applied in research on carbon emissions, urban energy consumption, and the building sector, and is useful for theoretical research and evaluation.
Li Yang, Huishu Chen, Yangluxi Li
exaly   +5 more sources

Predicting energy consumption through the LEAP model based on LMDI technique along with economic analysis: A case study

open access: yesEnergy Exploration & Exploitation, 2023
This research reports the implementation of logarithmic mean Divisia index (LMDI) and categorizes the growth of total energy usage in three different industrial sectors for the years of 2010 to 2021.
Zeshan Abbas   +5 more
doaj   +2 more sources

Impact of asset intensity and other energy-associated CO2 emissions drivers in the Nigerian manufacturing sector: A firm-level decomposition (LMDI) analysis. [PDF]

open access: yesHeliyon
The study considered the impacts of asset intensity and other energy-associated CO2 emissions drivers in the Nigerian manufacturing sector from 2010 to 2020.
Abam FI, Inah OI, Nwankwojike BN.
europepmc   +2 more sources

Empirical analysis of the carbon-economy nexus in industrial parks using an integrated decoupling-decomposition framework from a major industrial region [PDF]

open access: yesScientific Reports
Industrial parks as critical carriers of China’s industrial development, they face significant pressure for low-carbon transformation. Current research on carbon emissions primarily focuses on national or sectoral levels, leaving a gap in understanding ...
Qinyuan Zhu   +6 more
doaj   +2 more sources

Bottom-up analysis for carbon emissions from passenger and freight transport sectors in Xi’an: a city-level study using MOVES and LMDI models

open access: yesEnvironmental Research Communications
Road transportation is identified as one of the primary contributors to urban carbon emissions. This study employed a localized MOVES model, integrating high-resolution urban vehicle data, along with a categorical LMDI decomposition model, to conduct a ...
Ya’nan Bo   +4 more
doaj   +2 more sources

Temporal-spatial analysis of transportation CO2 emissions in China: Clustering and policy recommendations [PDF]

open access: yesHeliyon
Reducing transportation-related carbon dioxide (CO2) emissions in China poses significant challenges due to the sector’s growth potential and variations among provinces and transportation modes.
Linfeng Zhang, Jiaran Wei, Ran Tu
doaj   +2 more sources

Decomposition analysis of electricity generation on carbon dioxide emissions in Ghana [PDF]

open access: yesHeliyon
This study analyses the factors driving CO2 emissions from electricity generation in Ghana from 1990 to 2020. Employing Logarithmic Mean Divisia Index (LMDI) and Autoregressive Distributed Lag (ARDL) techniques, the research decomposes electricity ...
Eric Fosu Oteng-Abayie   +4 more
doaj   +2 more sources

Multidrivers of energy-related carbon emissions and its decoupling with economic growth in Northwest China [PDF]

open access: yesScientific Reports
Northwest China has great natural resource endowment to develop its economy, but factors such as geographic remoteness and technological backwardness result in lower economic levels and higher carbon emissions.
Fang Shen, Abudukeyimu Abulizi
doaj   +2 more sources

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