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.
Yangluxi Li +3 more
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Estimating energy-related CO2 emission growth in Bangladesh: The LMDI decomposition method approach
Climate change is a key global issue. The continuous increase in greenhouse gas emissions, such as carbon dioxide (CO2), from non-renewable energy sources, is the primary driver of climate change.
Mohammad Maruf Hasan, Wu Chongbo
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Carbon Transfer Decision Model Based on LMDI Method. [PDF]
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.
Qi Y, Rao G, Zha L, Chen L, Niu Y.
europepmc +3 more sources
Empirical analysis of the carbon-economy nexus in industrial parks using an integrated decoupling-decomposition framework from a major industrial region [PDF]
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
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Reconstructing grid emission intensity for Poland and testing its response to EU ETS carbon prices: A replicable two-source triangulation protocol [PDF]
Extended LMDI decomposition incorporating Scope 2 (indirect) emissions requires a reliable time series of grid emission intensity (EFᵍʳⁱᵈ). In Poland, official values are available only from 2014 (KOBiZE), creating a nine-year data gap.
Adam Dominiak, Artur Rusowicz
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India is the world's third-largest carbon dioxide (CO2) emitter, with the transportation sector accounting for most of this emission. Using the logarithmic-mean Divisia index (LMDI) decomposition method and Tapio decoupling, this study examines the ...
Siddharth Jain, Shalini Rankavat
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Assessment of land use change and carbon emission: A Log Mean Divisa (LMDI) approach [PDF]
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
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Temporal-spatial analysis of transportation CO2 emissions in China: Clustering and policy recommendations [PDF]
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
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Driving force analysis of the consumption of copper resources in typical countries on LMDI method
Copper, a crucial strategic mineral, is extensively utilized across various sectorsglobally. However, the drivers of copper resource consumption (CRC) vary by country, influenced by their developmental stages, population sizes, and industrial levels ...
Xiu Wang +9 more
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The role of manufacturing on Iran's economic growth: Divisa’s Logarithmic Index Method [PDF]
This article discusses the role of manufacturing in the economic growth of Iran using the logarithmic mean Divisia index (LMDI) method. The study identifies various drivers of industrialization and their impact on growth, including structural changes ...
Esfandiar Jahangard +2 more
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