Open AccessResearch on Total Factor Productivity Evaluation of Chinese Power Grid Enterprises
Author(s) -
Xuezhang Xiao,
Haiyun Song,
Chengchen Qian
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/5/052125
Subject(s) - total factor productivity , grid , productivity , computer science , factor (programming language) , measure (data warehouse) , power (physics) , power grid , index (typography) , industrial engineering , econometrics , data mining , engineering , economics , mathematics , economic growth , physics , geometry , quantum mechanics , world wide web , programming language
The total factor productivity research on the micro level is to analyze an enterprise’s real input and output, choose an appropriate measurement method, and accurately measure its input-output level. Based on the “three responsibilities” of Chinese power grid enterprises, this paper constructs a systematic and scientific input-output factor screening system, determines specific output and input indicators, uses Törnqvist total factor productivity index model to calculate the TFP change of a certain Chinese power grid enterprise in the year of 2008-2017, does a further penetration analysis of input-output changes, verifying that the evaluation model constructed in this paper is effective.