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Article type: Research Article
Authors: Wang, Honga; b
Affiliations: [a] School of Management, Shenyang University of Technology, Shenyang, Liaoning 110870, China | [b] Liaoning Provincial Employment and Talent Service Center, Shenyang, Liaoning 110032, China | E-mail: [email protected]
Correspondence: [*] Corresponding author: Liaoning Provincial Employment and Talent Service Center, Shenyang, Liaoning 110032, China. E-mail: [email protected].
Abstract: Taking 20 innovation and entrepreneurship bases (college students’ start-ups) in Liaoning Province as the research object, an evaluation indicator system of the operating efficiency of the innovation ecosystem of college students’ start-ups was constructed. The innovation incubation ability and the operating efficiency of the innovation ecosystem of these bases were evaluated using the three-stage DEA model, and the factors affecting the operating efficiency were analyzed. Then, the effects of five environment variables (including the per capita GDP, the business volume of telecommunications service, the number of graduates, the local financial expenditure on science and technology, and the Internet penetration rate, as the explanatory variables) on the operating efficiency of the innovation ecosystem of college students’ start-ups were studied by using efficiency values excluding environment variables and random factors as the explained variables, and five environment variables as the explanatory variables.
Keywords: Three-stage DEA model, college students’ start-ups, innovation ecosystem, efficiency evaluation, DEA
DOI: 10.3233/JCM-226550
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 1, pp. 485-498, 2023
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