Recently, the Logarithmic Mean Divisia Index (LMDI) approach to energy decomposition has been espoused as the preferred indexing method. Whilst the LMDI method provides perfect decomposition, and is time-reversal invariant, its strategy to handle zero-values is not necessarily robust. In order to ...
2) LMDI 对数平均D氏指数法 1. The paper introduces a relatively reasonable decomposition method-logarithmic mean Divisia index (LMDI), decomposes energy consumption in production since the Sixth Five-Year Plan employing LMDI method and tries to find the impact of industrial structural change and ...
2) Log-Mean Divisia Index Method I 对数平均迪氏因素分解法 1. In order to understand the reason why water use efficiency change,we use Kaya identity and Log-Mean Divisia Index Method I (LMDI I) to decomposition water use efficiency ,and make sure each reason change water use efficiency ...
Recently, the Logarithmic Mean Divisia Index (LMDI) approach to energy decomposition has been espoused as the preferred indexing method. Whilst the LMDI method provides perfect decomposition, and is time-reversal invariant, its strategy to handle zero-values is not necessarily robust. In order to ov...
This study applies the Logarithmic Mean Divisia Index (LMDI) decomposition method to analyze disparities in the driving forces from national and regional perspectives. In addition to the factors related to the generation sector, this study puts forward the concepts of power self-sufficiency ratio and...
Therefore, in this study, we built a complete (zero residual) decomposition model based on logarithmic mean Divisia index (LMDI) method for investigation into grain production in China. With this model, the changes of grain production were decomposed into the contributions from four factors, ...
Ni, and S. Song, "Logarithmic mean Divisia index (LMDI) decomposition of coal consumption in China based on the energy allocation diagram of coal flows," Energy, vol. 85, pp. 366-378, 2015.Chong Chihao,Ma Linwei,Li Zheng,et al. Logarithmic meanDivisia index ( LMDI) decomposition of ...
To quantitatively analyze the main driving factors of agricultural water use in different stages in the middle reaches of the Heihe River basin, the Logarithmic Mean Divisia Index (LMDI) decomposition method was employed to calculate the contribution of each driving factor to agricultural water use. ...
To quantitatively analyze the main driving factors of agricultural water use in different stages in the middle reaches of the Heihe River basin, the Logarithmic Mean Divisia Index (LMDI) decomposition method was employed to calculate the contribution of each driving factor to agricultural water use. ...
In particular, the logarithmic mean divisia index (LMDI) method is used to study how controllers contribute to the performance and how disturbances are generated. Finally, a flow network, which is a system structure that appears in many real problems such as power grids, is used as an ...