管理创业环境以支持早期创业活动:数据包络分析

I. Georgescu, Ane-Mari Androniceanu, J. Kinnunen
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引用次数: 0

摘要

本文采用恒收益和变收益规模的数据包络分析,从12个投入和3个产出出发,对42个国家2019年的技术效率进行了研究。这些投入代表了创业框架条件的特征,政府可以通过管理这些特征来促进或阻碍新企业的创造,即总创业活动(TEA)的产出和男女TEA的比例,以及(iii)创业意图。两个模型表明,VRS方法的有效实体数量大于CRS方法。结果表明,CRS模型和VRS模型的均值表明,在不减少产出的情况下,在CRS模型和VRS模型下,投入的使用分别减少7.73%和3.17%,国家在有效边界上有创业活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MANAGING ENTREPRENEURIAL CONDITIONS TO SUPPORT EARLY-STAGE ENTREPRENEURIAL ACTIVITY: A DATA ENVELOPMENT ANALYSIS
In this paper, we apply Data Envelopment Analysis with constant and variable returns to scale to study the technical efficiency of 42 countries for 2019 starting from 12 inputs and 3 outputs. The inputs represent the features of entrepreneurial framework conditions, which can be managed by governments to enhance or hinder new business creation, i.e., the outputs of total entrepreneurial activity (TEA) and the ratio of male-female TEA together with (iii) entrepreneurial intentions. The two models show that for the VRS approach, the number of efficient entities is larger than in the case of the CRS approach. The results show that the mean values of the CRS and VRS models reveal that the countries have entrepreneurial activities on the efficient frontier if the use of the input may be reduced by 7.73%, and by 3.17% under CRS and VRS models, respectively, without any decrease in the outputs.
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