THE EFFICIENCY OF MAJOR INDUSTRIAL ENTERPRISES IN SICHUAN PROVINCE OF CHINA: A SUPER SLACKS-BASED MEASURE ANALYSIS

被引:4
作者
Zhu, Nan [1 ]
He, Kai [2 ]
机构
[1] Southwestern Univ Finance & Econ, Western Business Sch, Chengdu, Peoples R China
[2] Southwestern Univ Finance & Econ, Sch Stat, Chengdu, Peoples R China
关键词
Data Envelopment analysis; Super-SBM; Sichuan province; Industrial enterprise; Efficiency analysis; DATA ENVELOPMENT ANALYSIS; ANALYSIS DEA; PERFORMANCE; PRODUCTIVITY; MODEL;
D O I
10.3934/jimo.2021231
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The main objective of this research is to measure the efficiency of 397 major industrial enterprises in Sichuan province of China in 2013.To this end, we employed DEA super slacks-based measure (Super-SBM) model for performance evaluation of 397 major manufacturing firms.The empirical results show that 21 of the 397 enterprises operate efficiently, and the average efficiency score of the analyzed enterprises is only 0.15. The enterprise with the highest efficiency score is 96.15% higher than the average score, which is the benchmark enterprise of operational efficiency. Among the selected sample enterprises, 5.29% of the industrial enterprises are highly efficient in operation. It was also noticed that the average efficiency score of pharmaceutical firms was the highest among all industrial firms with a mean score of 0.75, which is 80% higher than the overall average score of all industries. While the average efficiency of manufacturing of chemical raw materials and chemical products was the lowest with a mean score of 0.39. Results of sensitivity analysis show that profit has a great impact on the efficiency score of special equipment manufacturing firms, but a relatively weak impact on the firms which manufacture computers, communications, and other electronic equipment. The effect of export delivery value on efficiency score is not obvious.
引用
收藏
页码:1328 / 1349
页数:22
相关论文
共 50 条
  • [21] Efficiency Aggregation in Generalized Network Data Envelopment Analysis with Slacks-Based Measure Based on Sample Units
    Sun, Na
    Zhao, Narisa
    Ma, Zhan-Xin
    SYMMETRY-BASEL, 2019, 11 (06):
  • [22] Maximum slacks-based measure of efficiency in network data envelopment analysis: A case of garment manufacturing
    Kao, Chiang
    OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2024, 123
  • [23] Continuous models combining slacks-based measures of efficiency and super-efficiency
    Bolos, Vicente J.
    Benitez, Rafael
    Coll-Serrano, Vicente
    CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH, 2023, 31 (02) : 363 - 391
  • [24] Efficiency measurement for general network systems: a slacks-based measure model
    Victor John M. Cantor
    Kim Leng Poh
    Journal of Productivity Analysis, 2020, 54 : 43 - 57
  • [25] Variations on the theme of slacks-based measure of efficiency: Convex hull-based algorithms
    Xie, Qiwei
    Zhu, Yuanchang
    Shang, Haichao
    Li, Yongjun
    COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 159 (159)
  • [26] Efficiency evaluation of banks in China: A dynamic two-stage slacks-based measure approach
    Zha, Yong
    Liang, Nannan
    Wu, Maoguo
    Bian, Yiwen
    OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2016, 60 : 60 - 72
  • [27] Continuous models combining slacks-based measures of efficiency and super-efficiency
    Vicente J. Bolós
    Rafael Benítez
    Vicente Coll-Serrano
    Central European Journal of Operations Research, 2023, 31 : 363 - 391
  • [28] Dynamic efficiency evaluation of state-level business incubators in China by using a slacks-based measure approach
    Sun, Xiangyang
    Cheng, Yu
    Lu, Qicheng
    Hu, Miao
    EXPERT SYSTEMS, 2020, 37 (03)
  • [29] An enhanced hybrid interval slacks-based DEA model with super-efficiency and application
    Arana-Jimenez, Manuel
    Sanchez-Gil, M. Carmen
    Younesi, Atefeh
    Lozano-Ramirez, Julio
    COMPUTATIONAL & APPLIED MATHEMATICS, 2025, 44 (01)
  • [30] A Slacks-Based Measure Model for Computing Game Cross-Efficiency
    Huang, Tingyang
    Li, Shuangjie
    Liu, Fang
    Diao, Hongyu
    SYSTEMS, 2024, 12 (03):