Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China

2018 ◽  
Vol 76 ◽  
pp. 101-114 ◽  
Author(s):  
Miao Wang ◽  
Chao Feng
Keyword(s):  
Co2 Emissions ◽  
Economic Factors ◽  
Logarithmic Mean ◽  
Divisia Index ◽  
Index Approach

CO2 emissions per value added in exports of China: A comparison with USA based on generalized logarithmic mean Divisia index decomposition

2017 ◽  
Vol 144 ◽  
pp. 287-298 ◽  
Author(s):  
Yuhuan Zhao ◽  
Ya Liu ◽  
Zhonghua Zhang ◽  
Song Wang ◽  
Hao Li ◽  
...  
Keyword(s):  
Co2 Emissions ◽  
Value Added ◽  
Logarithmic Mean ◽  
Divisia Index ◽  
Index Decomposition

Tracking European Union CO2 emissions through LMDI (logarithmic-mean Divisia index) decomposition. The activity revaluation approach

Energy ◽  
2014 ◽  
Vol 73 ◽  
pp. 741-750 ◽  
Author(s):  
P. Fernández González ◽  
M. Landajo ◽  
M.J. Presno
Keyword(s):  
European Union ◽  
Co2 Emissions ◽  
Logarithmic Mean ◽  
Divisia Index ◽  
Index Decomposition

CO2 emissions in Greece for 1990–2002: A decomposition analysis and comparison of results using the Arithmetic Mean Divisia Index and Logarithmic Mean Divisia Index techniques

Energy ◽  
2008 ◽  
Vol 33 (3) ◽  
pp. 492-499 ◽  
Author(s):  
Emmanouil Hatzigeorgiou ◽  
Heracles Polatidis ◽  
Dias Haralambopoulos
Keyword(s):  
Co2 Emissions ◽  
Decomposition Analysis ◽  
Arithmetic Mean ◽  
Logarithmic Mean ◽  
Divisia Index ◽  
Comparison Of Results

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

2019 ◽  
Vol 11 (16) ◽  
pp. 4310 ◽  
Author(s):  
Meiting Tu ◽  
Ye Li ◽  
Lei Bao ◽  
Yuao Wei ◽  
Olivier Orfila ◽  
...  
Keyword(s):  
Co2 Emissions ◽  
Driving Forces ◽  
Urban Transport ◽  
Transport Sector ◽  
Global Cities ◽  
Passenger Transport ◽  
Logarithmic Mean ◽  
Rapid Urbanization ◽  
Divisia Index ◽  
Carbon Reduction

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 effective carbon-reduction policies and strategies. The logarithmic mean Divisia index (LMDI) method is used to decompose the CO2 emissions changes into five driving determinants: Urbanization level, motorization level, mode structure, energy intensity, and energy mix. First, the urban transport CO2 emissions between 1960 and 2001 from 46 global cities are calculated. Then, the multiplicative decomposition results for megacities (London, New York, Paris, and Tokyo) are compared with those of other cities. Moreover, additive decomposition analyses of the 4 megacities are conducted to explore the driving forces of changes in CO2 emissions from the passenger transport sectors in these megacities between 1960 and 2001. Based on the decomposition results, some effective carbon-reduction strategies can be formulated for developing cities experiencing rapid urbanization and motorization. The main suggestions are as follows: (i) Rational land use, such as transit-oriented development, is a feasible way to control the trip distance per capita; (ii) fuel economy policies and standards formulated when there are oil crisis are effective ways to suppress the increase of CO2 emissions, and these changes should not be abandoned when oil prices fall; and (iii) cities with high population densities should focus on the development of public and non-motorized transport.

Factorial decomposition of CO2 emissions: A generalized Divisia index approach

2014 ◽  
Vol 45 ◽  
pp. 389-400 ◽  
Author(s):  
Alexander Vaninsky
Keyword(s):  
Co2 Emissions ◽  
Divisia Index ◽  
Index Approach

Coupling the driving forces of urban CO2 emission in Shanghai with logarithmic mean Divisia index method and Granger causality inference

2021 ◽  
Vol 298 ◽  
pp. 126843
Author(s):  
Yulong Luo ◽  
Weiliang Zeng ◽  
Xianbiao Hu ◽  
Hong Yang ◽  
Lin Shao
Keyword(s):  
Granger Causality ◽  
Co2 Emission ◽  
Driving Forces ◽  
Logarithmic Mean ◽  
Index Method ◽  
Divisia Index ◽  
Causality Inference
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