Results 41 to 50 of about 2,034 (203)
, 2020 The Logarithmic Mean Divisia Index (LMDI) method allows decomposing a time series associated with a dependent variable of interest, for example, carbon intensity into explanatory variables of the phenomenon that can be structural (for instance, economic ...
Rojas Lozano, Daniela Del Pilar
core +2 more sources
Carbon Management, 2017 The electric power industry has often been considered one of the key sectors for energy-saving and emission reduction. It is important to explore the main factors driving the greenhouse gas (GHG) emission changes of this industry.
Shuang Zhang +3 more
doaj +1 more source
The LMDI-based decomposition results (1997–2009).
, 2013 The LMDI-based decomposition results (1997–2009).
Xiaohui Li (73588) +4 more
core +1 more source
Factors influencing the change in irrigation water usage in Jiangxi province
Guan'gai paishui xuebao【Objective】 Irrigation is the largest water consumer in many regions. Understanding its variation and the underlying determinants is important for improving water management.
ZHANG Jingwen +4 more
doaj +1 more source
Decomposition and macroeconomic drivers of energy intensity: The case of Ethiopia
Energy Strategy Reviews, 2021 This study aims to provide a decomposition analysis on aggregate energy intensity in Ethiopia over 1990–2017 using Logarithmic Mean Divisia Index (LMDI) I decomposition method.
Dagmawe Tenaw
doaj +1 more source
Using LMDI approach to analyze changes in carbon dioxide emissions of China’s logistics industry [PDF]
, 2015 Purpose: China is confronting with tremendous pressure in carbon emission reduction. While logistics industry seriously relies on fossil fuel, and emits greenhouse gas, especially carbon dioxide.
Han Song +5 more
core +3 more sources
Analysis of Changes in the Aggregate Exergy Efficiency of China’s Energy System from 2005 to 2015
Energies, 2021 Analysis of the change of overall energy efficiency performance of an energy system is a fundamental work for the energy-saving policymaking. However, previous studies seldom focus on energy stages from useful energy to final service, while most ...
Yuancheng Lin +4 more
doaj +1 more source
Analysis of Carbon Emission Factors in China and Japan Based on LMDI
E3S Web of Conferences, 2023 From 2000 to 2015, China’s industry and economy developed rapidly, while at the same time, it became the world’s largest carbon emitter. China’s development trajectory in the 15 years since 2000 is similar to Japan’s in the 1960s and 1980s. This paper used the Logarithmic mean Divisa index (LMDI) method to estimate the impact factors of carbon ...
openaire +2 more sources
Land Degradation &Development, Volume 37, Issue 14, Page 10387-10404, 30 August 2026.ABSTRACT The Yellow River Basin is a critical region for ecological conservation and sustainable development in China. It also serves as a core area for carbon emissions across various functional zones of construction land. Accurately understanding carbon emissions from various types of construction land in the Yellow River Basin is crucial for China ...
Xi Chen +7 more
wiley +1 more source
CO2 Emission Reduction Potential in China's Electricity Sector: Scenario Analysis Based on LMDI Decomposition [PDF]
, 2015 The CO2 emission reduction from China's electricity sector will matter not only for China but impact the result of the global action on climate change. This paper firstly analyzed the main factors that affect the CO2 emission in accordance with the LMDI ...
Mu, Zekun +3 more
core +1 more source