@inproceedings{oai:grips.repo.nii.ac.jp:00001563,
 author = {LEI, Ming and ZHAO, Xinna and TONE, Kaoru},
 month = {Jan},
 note = {This workshop is supported by JSPS KAKENHI Grant Number 22310096 under the title “Theory and Applications of Dynamic DEA with Network Structure.”, For revealing the influence of intermediate transactions between industrial sectors to the dynamic performance, this paper develops a framework of dynamic performance with network structure measurement by establishing a dynamic network Malmquist productivity index (DNMPI) model following the dynamic network slacks-based measure (DNSBM) model. In order to explore the performance, we decompose the model to identify the dynamic efficiency (inter-temporal influence) and the network efficiency (sector interaction) based on green accounting. Furthermore, this paper analyzes Chinese dynamic performance with network structure influenced by energy-economy-environment (3E) in the view of industrial chain effect. We apply it to analyze the data of 40 industrial sectors in China from 2002, 2005 and 2007. Based on empirical results, we systematically indicate the influence of energy efficiency and environment efficiency to the economic development in China., Workshop 2013 on Dynamic and Network DEA (January 29-30, 2013)},
 pages = {11--20},
 publisher = {出版社不明},
 title = {Dynamic network Malmquist model based on green input-output table},
 year = {2013}
}