Results 71 to 80 of about 7,599,466 (164)

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  

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

DECOMPOSITION AND DECOUPLING ANALYSIS OF NIGERIA INDUSTRIAL EMISSION FROM LMDI AND TAPIO MODELS: CASE STUDY OF THE CEMENT INDUSTRY [PDF]

open access: yes
This study investigates the relationship between carbon dioxide emissions and economic growth in Nigeria\u27s cement industry from 2000 to 2019, using the Logarithmic Mean Divisia Index (LMDI) and Tapio decoupling models.
Okoye , O. A, Ashimedua, O.G, Igwe, J. E
core   +1 more source

The Role of Public Spending in CO2 Emissions Reduction in Polish Regions: An LMDI Decomposition Approach

open access: yes, 2021
Global climate change and air pollution are critical environmental problems in the modern world. Therefore, the reduction of CO2 emissions has long been a crucial challenge for individual countries.
Katarzyna Aleksandra Wójtowicz   +2 more
core   +1 more source

Decomposition analysis of CO₂ emissions in India: Logarithmic mean divisia index

open access: yesEnvironment Conservation Journal
The study is conducted to quantify driving forces of carbon dioxide (CO₂) emissions using decomposition analysis. The paper investigates the determinants of CO₂ emissions using the Logarithmic Mean Divisia Index (LMDI) for the period 2011-2021.
Neha Karnik
doaj   +1 more source

Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China

open access: yesEnergies, 2013
Based on the logarithmic mean Divisia index (LMDI) approach, this paper presents a decomposition analysis of China’s energy-related industrial CO2 emissions from 1985 to 2007, as well as a comparative analysis of differential influences of various ...
Bin Chen, Zhifeng Yang, Liang Chen
doaj   +1 more source

Logarithmic Mean Divisia Index Decomposition of CO2 Emissions from Urban Passenger Transport: An Empirical Study of Global Cities from 1960–2001 [PDF]

open access: yes, 2019
The urban transport sector has become one of the major contributors to global CO2 emissions. This paper investigates the driving forces of changes in CO2 emissions from the passenger transport sectors in different cities, which is helpful for formulating
Bao, Lei   +13 more
core   +1 more source

Decoupling Analysis of Economic Growth and Carbon Emissions in Xinjiang Based on Tapio and Logarithmic Mean Divisia Index Models

open access: yes
In light of China’s ambitious goals to peak carbon emissions by 2030 and achieve carbon neutrality by 2060, this study uniquely explores the decoupling dynamics between economic growth and carbon emissions in Xinjiang using panel data from 2006 to ...
Zhenliang Liao, Bin Zhou, Le Jing
core   +1 more source

What drives the GHG emission changes of the electric power industry in China? An empirical analysis using the Logarithmic Mean Divisia Index method

open access: yes, 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.
Jie Gao   +3 more
core   +1 more source

Projeções e avaliação do consumo de energia elétrica para o setor residencial brasileiro a partir da técnica de decomposição Logarithmic Mean Divisia Index (LMDI) [PDF]

open access: yes, 2014
This work aimed to apply the Logarithmic Mean Divisia Index (LMDI) decomposition techniques to evaluate the variation of electricity consumption for the residential sector in Brazil for the period 2005-2020.
Fabricio Vieira Andrade
core  

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