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Operation Efficiency of Business Incubator in Hubei Based on DEA

Published:21 December 2023Publication History

ABSTRACT

Employing BCC model of DEA, this paper empirically analyses the hatching efficiency, economic benefits, social contribution and operation efficiency of 41 business incubator in Hubei, and the operation efficiency includes integrated efficiency, pure technical efficiency and scale efficiency. And according to the DEA projection analysis, the paper adjust the input and output of non-DEA effective incubators. It has been found in this paper that the economic benefits and hatching efficiency are poorer, however, social contribution and integrated efficiency are better; the input redundancy and output deficiency of non-DEA effective incubators are significant, we need to improve the scale efficiency and resource allocation.

References

  1. Sarfrazs A.Mian.Assessing and managing the university technology business incubator:An integrative framework[J].Journal of Business Venturing,1997(12):251−285.Google ScholarGoogle Scholar
  2. Rice M P.Co-production of business assistance in business incubators: An exploratory study[J].Journal of Business Venturing,2002,(17):163-187.Google ScholarGoogle Scholar
  3. Phillips R G.Technology business incubators:how effective as technology transfer mechanisms[J].Technology in Society,2002,(24):299-316.Google ScholarGoogle Scholar
  4. Semih Akcomak,Erol Taymaz.Assessing the effectiveness of Incubators:the case of Turkey[J].Economic Research Center,2004(4):112−125.Google ScholarGoogle Scholar
  5. Chan K F,Lau T.Assessing technology incubator programs in the science park:the good,the bad and the ugly[J].Technovation,2005,(25):1215-1228.Google ScholarGoogle Scholar
  6. Peter Lindel,Hans Lofsten, Growth.Management and nancing of new technology−based firms assessing value added contributions of firms located on and off Science Parks[J].Omega,2001(30):143−154.Google ScholarGoogle Scholar
  7. Siegel D S,Westhend P,Wright M.Assessing the impact of university science parks on research productivity:exploratory firm-level evidence from the United Kingdom[J].International Journal of industrial Organization,2003,21(9):1357-1369.Google ScholarGoogle Scholar
  8. Sung T K,Gibson D V,Kang B S.Characteristics of technology transfer in business ventures:the case of Daejeon,Korea[J].Technological Forecasting and Social Change,2003,70(5):449-446.Google ScholarGoogle Scholar
  9. Yang Yi, He Haohao, Luo Yuxi. Operation Performance Evaluation and Optimization Measures of Chinese Business Incubation Institutions—Empirical Analysis Based on DEA-CA Model [J]. Innovation Science and Technology, 2019,19(08):1-8.DOI:10.19345/j.cxkj.1671-0037.2019.08.001.Google ScholarGoogle ScholarCross RefCross Ref
  10. Liu Yanping, Wang Mingkang. The Influence of Incubator Operation Efficiency on Corporate Innovation Behavior [J]. Finance & Trade Economics, 2021,42(5):17.Google ScholarGoogle Scholar
  11. Wang Nan, Zhao Juhui. Analysis on the Operational Efficiency of National Science and Technology Business Incubators in the Three Eastern Provinces [J]. China Collective Economy,2022,No.722(30):18-20.Google ScholarGoogle Scholar
  12. Zhang Shiyu, Yang kaiyue, Liu Shulong. Combination Evaluation on Private Technology Incubator Performance Based on Refined CRITIC [J]. Science and Technology Management Research,2022,42(17):57-64.Google ScholarGoogle Scholar
  13. Yan Zhenjun, Li Jing, Shi junfeng, Fan ziyu. Evaluation on the Development of Science and Technology Business Incubator in Beijing from the Perspective of Ecological Niche [J]. Forum on Science and Technology in China, 2022, No.313(05): 136-146+166.Google ScholarGoogle Scholar
  14. Ma Zhanxin. Data Envelopment Analysis Models and Methods [M].Beijing:Science Publication, 2013.Google ScholarGoogle Scholar
  15. Banker R D,Charnes A,Cooper W W.Some models for estimating technical and scale inefficiencies in data envelopment analysis[J].Management Science,1984,30(9): 1078-1092.Google ScholarGoogle Scholar
  16. Du Dong, Pang qinghua. Modern Comprehensive Evaluation Methods and Case Selection [M]. Beijing:Tsinghua University Publication,2008:62-84.Google ScholarGoogle Scholar

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              cover image ACM Other conferences
              ICIIP '23: Proceedings of the 2023 8th International Conference on Intelligent Information Processing
              November 2023
              341 pages
              ISBN:9798400708091
              DOI:10.1145/3635175

              Copyright © 2023 ACM

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              Publication History

              • Published: 21 December 2023

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