Factor decomposition of Chinese GHG emission intensity based on the Logarithmic Mean Divisia Index method

2014 ◽  
Vol 5 (5-6) ◽  
pp. 579-586 ◽  
Author(s):  
Jianyi Lin ◽  
Yuan Liu ◽  
Yuanchao Hu ◽  
Shenghui Cui ◽  
Shengnan Zhao
Keyword(s):  
Emission Intensity ◽  
Ghg Emission ◽  
Logarithmic Mean ◽  
Index Method ◽  
Divisia Index ◽  
Factor Decomposition

Analysis on the Influence Factors of CO2 Emission in France - Based on LMDI Approach

2012 ◽  
Vol 616-618 ◽  
pp. 1537-1540 ◽  
Author(s):  
Shuo Wang
Keyword(s):  
Energy Use ◽  
Influence Factors ◽  
Energy Structure ◽  
Carbon Density ◽  
Logarithmic Mean ◽  
Index Method ◽  
Divisia Index ◽  
Structure Problem

This article uses Logarithmic Mean Divisia Index Method (LMDI) to analyze influence factors of emission in France during last 50 years, including energy use, GDP, carbon density, energy structure and population. Energy structure problem is proposed at the end of the article.

Using a new generalized LMDI (logarithmic mean Divisia index) method to analyze China's energy consumption

Energy ◽  
2014 ◽  
Vol 67 ◽  
pp. 617-622 ◽  
Author(s):  
Wenwen Wang ◽  
Xiao Liu ◽  
Ming Zhang ◽  
Xuefeng Song
Keyword(s):  
Energy Consumption ◽  
Logarithmic Mean ◽  
Index Method ◽  
Divisia Index

What determines China's electricity consumption? New evidence using the logarithmic mean Divisia index method

2018 ◽  
Vol 10 (1) ◽  
pp. 015909 ◽  
Author(s):  
Yu Hao ◽  
Lingou Wang ◽  
Weiyang Fan ◽  
Yaoyao Wei ◽  
Tong Wen ◽  
...  
Keyword(s):  
Electricity Consumption ◽  
Logarithmic Mean ◽  
Index Method ◽  
Divisia Index ◽  
New Evidence

scholarly journals Decomposing drivers of changes in productive and domestic water use based on the logarithmic mean Divisia index method: a regional comparison in Northern China

Water Policy ◽  
2021 ◽  
Author(s):  
Wenfei Lyu ◽  
Yuansheng Chen ◽  
Zhigang Yu ◽  
Weiwei Yao ◽  
Huaxian Liu
Keyword(s):  
Water Use ◽  
Industrial Structure ◽  
Scale Effects ◽  
Northern China ◽  
Logarithmic Mean ◽  
Domestic Water ◽  
Index Method ◽  
Divisia Index ◽  
Intensity Effect ◽  
Productive Water

Abstract It is crucial to consider regional heterogeneity while analyzing drivers of changes in sectoral water use for developing differentiated and effective demand-regulation strategies in China. By using the logarithmic mean Divisia index method, this study compares dynamic influences of intensity, structure and scale factors on changes in productive and domestic water use during 2003–2017 between Tianjin (a socio-economic developed region) and Hebei (less-developed). The results show that the scale effect stimulated the growth of productive water use in both regions, while structure and intensity effects restrained such growth. The three effects all stimulated the growth of domestic water use in most years in both regions. In both regions, the largest contributor to changes in productive and domestic water use was the scale and intensity effect, respectively. However, in the two regions, the synergies of three effects resulted in different change trends of productive water use, and cumulative contributions of sub-sectors to the intensity, structure and scale effects were not exactly the same. Tianjin and Hebei need to keep on adjusting industrial structure and lowering water-use intensity to control future growth of productive water use and take strict measures to tackle the increasing trend of domestic water use but should have different policy implementation focuses.

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