Dynamic efficiency evaluation of state-level business incubators in China by using a slacks-based measure approach

被引:7
|
作者
Sun, Xiangyang [1 ]
Cheng, Yu [1 ]
Lu, Qicheng [2 ]
Hu, Miao [3 ]
机构
[1] Shanghai Univ, SHU UTS SILC Business Sch, Shanghai, Peoples R China
[2] Yunnan Univ Finance & Econ, Business Sch, Kunming, Yunnan, Peoples R China
[3] Zhejiang Univ, Sch Management, Hangzhou, Peoples R China
关键词
business incubators; carry-over variable; data envelopment analysis; dynamic efficiency; slacks-based measure; PERFORMANCE;
D O I
10.1111/exsy.12285
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
It is important to evaluate the efficiency of business incubators for their performance improvement. Because few enterprises can successfully graduate from the incubation process in one incubation period, the incubating enterprises will be carried over to the successive periods. In this context, the number of incubating enterprises can be regarded as a carry-over variable linking different incubation periods, which can also be treated as an undesirable output in the current period. This paper proposes a dynamic slacks-based measure model to evaluate the efficiency of China's state-level business incubators during 2010-2012. The empirical results show that neglecting new entrants and the typical carry-over variable may underestimate the incubation system's efficiency. Moreover, the operational efficiency of China's state-level business incubators is relatively low, which is largely caused by the lower pure technical efficiency. There exist great disparities between pure technical efficiency and scale efficiency for all considered incubators in China. Some important insights and policy suggestions are presented.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] China’s regional energy and carbon dioxide emissions efficiency evaluation with the presence of recovery energy: an interval slacks-based measure approach
    Yiwen Bian
    Kangjuan Lv
    Anyu Yu
    Annals of Operations Research, 2017, 255 : 301 - 321
  • [22] Technical and environmental efficiency of livestock farms in China: A slacks-based DEA approach
    Kuhn, Lena
    Balezentis, Tomas
    Hou, Lingling
    Wang, Dan
    CHINA ECONOMIC REVIEW, 2020, 62
  • [23] Evaluation of Carbon Emission Efficiency in the Construction Industry Based on the Super-Efficient Slacks-Based Measure Model: A Case Study at the Provincial Level in China
    Zhang, Jun
    Zhang, Ying
    Chen, Yunjie
    Wang, Jinpeng
    Zhao, Lilin
    Chen, Min
    BUILDINGS, 2023, 13 (09)
  • [24] Energy efficiency analysis of the economic system in China during 1986-2012: A parallel slacks-based measure approach
    Bian, Yiwen
    Hu, Miao
    Wang, Yousen
    Xu, Hao
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 55 : 990 - 998
  • [25] Water use efficiency and related pollutants' abatement costs of regional industrial systems in China: a slacks-based measure approach
    Wang, Yousen
    Bian, Yiwen
    Xu, Hao
    JOURNAL OF CLEANER PRODUCTION, 2015, 101 : 301 - 310
  • [26] Efficiency Evaluation and Influencing Factor Analysis of China's Public Cultural Services Based on a Super-Efficiency Slacks-Based Measure Model
    Wang, Wenling
    Chen, Tong
    SUSTAINABILITY, 2020, 12 (08)
  • [27] Environmental efficiency analysis of port cities: Slacks-based measure data envelopment analysis approach
    Lee, Taehwee
    Yeo, Gi-Tae
    Thai, Vinh V.
    TRANSPORT POLICY, 2014, 33 : 82 - 88
  • [28] EFFICIENCY EVALUATION OF CHINESE PROVINCIAL INDUSTRY SYSTEMS: A DYNAMIC TWO-STAGE SLACKS-BASED MEASURE WITH SHARED INPUTS
    He, Kai
    Zhu, Nan
    JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2023, 19 (07) : 4959 - 4988
  • [29] THE EFFICIENCY OF MAJOR INDUSTRIAL ENTERPRISES IN SICHUAN PROVINCE OF CHINA: A SUPER SLACKS-BASED MEASURE ANALYSIS
    Zhu, Nan
    He, Kai
    JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2023, 19 (02) : 1328 - 1349
  • [30] China's ocean economic efficiency depends on environmental integrity: A global slacks-based measure
    Ding, Lili
    Lei, Liang
    Zhao, Xin
    OCEAN & COASTAL MANAGEMENT, 2019, 176 : 49 - 59