Results 61 to 70 of about 566,947 (157)

Renewable energy development efficiency: Spatial dynamic evolution and influencing factors

open access: yesNatural Resources Forum, Volume 48, Issue 4, Page 1392-1416, November 2024.
Abstract This paper aims to estimate the spatial dynamic evolution of renewable energy development efficiency and justify the dimensions that impact renewable energy development efficiency. The study applies the following methods: the ultraefficient slack‐based model (SBM) (to measure the efficiency of renewable energy development); the Dagum‐Gini ...
Huishui Su   +4 more
wiley   +1 more source

Heterogeneities in Regional Air Pollutant Emission Mitigation Across China During 2012–2020

open access: yesEarth's Future, Volume 12, Issue 3, March 2024.
Abstract The toughest‐ever clean air actions to date in China have helped to reduce national air pollutant emissions significantly in recent years. However, the heterogeneous mitigation paths and their determinated factors among regions were less concerned.
Hongyan Zhao   +8 more
wiley   +1 more source

Exploring the driving factors and their mitigation potential in global energy-related CO2 emission

open access: yesGlobal Energy Interconnection, 2020
In order to quantify the contribution of the mitigation strategies, an extended Kaya identity has been proposed in this paper for decomposing the various factors that influence the CO2 emission.
Zhiyuan Ma   +6 more
doaj   +1 more source

LMDI Decomposition of Energy-Related CO2 Emissions Based on Energy and CO2 Allocation Sankey Diagrams: The Method and an Application to China

open access: yes, 2018
This manuscript develops a logarithmic mean Divisia index I (LMDI) decomposition method based on energy and CO2 allocation Sankey diagrams to analyze the contributions of various influencing factors to the growth of energy-related CO2 emissions on a ...
Linwei Ma   +6 more
core   +1 more source

Sectoral Decomposition of Korea’s Energy Consumption by Global Value Chain Dimensions

open access: yes, 2020
This paper analyzed the annual trends in energy consumption of 14 industries in Korea from 2000 to 2014 using an extended log mean Divisia index (LMDI) method that embedded global value chain (GVC) divisions in the standard LMDI decomposition.
Taeyoung Jin, Bongseok Choi
core   +1 more source

Spatial Dynamics and Drivers of Carbon–Pollution Synergy in the Middle Reaches of the Yangtze River Urban Agglomeration

open access: yesEarth
Reducing carbon emissions while improving air quality is a central challenge for rapidly urbanizing regions. Focusing on 31 prefecture-level cities in the Middle Reaches of the Yangtze River Urban Agglomeration, this study examines carbon–pollution ...
Shun Chen, Ping Jiang
doaj   +1 more source

Spatial decomposition of drivers of household energy use in Metro Manila using LMDI

open access: yesChemical Engineering Transactions, 2020
The trend on the migration to home-based work environment as an option for the global workforce implies that the Philippines’ residential energy use is as significant as in the industrial and commercial sectors.
Ana Karmela Lopez   +3 more
doaj   +1 more source

Optimizing regional carbon peak pathways under uncertainty: An integrated Tapio-LMDI-robust optimization framework with evidence from Guangxi, China

open access: yesEnergy Conversion and Management: X
Achieving regional carbon peak remains a critical challenge for developing regions balancing economic growth with climate commitments. Existing studies analyze decoupling patterns and driving factors in isolation, lacking integrated frameworks combining ...
Yanying Wei
doaj   +1 more source

China's Carbon Emissions 1971-2003 [PDF]

open access: yes
A number of previous studies on China's carbon emissions have mainly focused on two facts: 1) the continuous growth in emissions up till the middle of the 1990s; 2) the recent stability of emissions from 1996 to 2001.
Chunbo Ma, David I. Stern
core  

Multi-country analysis of driving factors to carbon emissions using LMDI decomposition analysis method and rough set modeling

open access: yes, 2021
Drivers to global carbon emissions have been widely investigated in the scientific literature. However, previous studies had focused mostly on individual countries or regions.
Mouy, Meta
core  

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