Python-LMDI: A Tool for Index Decomposition Analysis of Building Carbon Emissions [PDF]
Buildings, 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
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Assessment of land use change and carbon emission: A Log Mean Divisa (LMDI) approach [PDF]
HeliyonChanges 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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The Application and Evaluation of the LMDI Method in Building Carbon Emissions Analysis: A Comprehensive Review [PDF]
BuildingsThe 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
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Driving forces of Spain׳s CO2 emissions: A LMDI decomposition approach [PDF]
Renewable and Sustainable Energy Reviews, 2015 Junta de Andalucía SEJ ...
Maria L Rodríguez-Arévalo +2 more
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An LMDI decomposition analysis of carbon emissions in the Thai manufacturing sector
Energy Reports, 2020 During the last two decades CO2 emissions increased rapidly along with the growth of production and energy use in the industrial sector in Thailand.
Jaruwan Chontanawat +2 more
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The misinterpretation of structure effects of the LMDI and an alternative index decomposition
MethodsX, 2022 Changing the structure of the economy is often considered an option to reduce environmental impacts – for example, by changing the mix of sectors in the economy, the energy mix of production, or the mix of origin countries for imported products. To study
Nicolas Roux, Barbara Plank
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LMDI Decomposition Analysis of Energy Consumption in the Korean Manufacturing Sector [PDF]
Sustainability, 2017 The energy consumption of Korea’s manufacturing sector has sharply increased over the past 20 years. This paper decomposes the factors influencing energy consumption in this sector using the logarithmic mean Divisia index (LMDI) method and analyzes the specific characteristics of energy consumption from 1991 to 2011.
Suyi Kim
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Empirical analysis of the carbon-economy nexus in industrial parks using an integrated decoupling-decomposition framework from a major industrial region [PDF]
Scientific ReportsIndustrial 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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Temporal-spatial analysis of transportation CO2 emissions in China: Clustering and policy recommendations [PDF]
HeliyonReducing 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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Decomposition analysis of electricity generation on carbon dioxide emissions in Ghana [PDF]
HeliyonThis 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
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