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A comparison of four measurement systems and evaluation indicators in entrepreneurship: Evidence from five innovation-driven economies in Asia

机译:四种测量系统和评估指标在创业中的评价指标:来自亚洲五大创新经济体的证据

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The nascent field of entrepreneurship is growing rapidly and attracting increased attention from many sectors, which developed ten evaluation indicators continuously. In spite of the lack of a comprehensive comparison, rankings from those measurement indices were extensively used for investigating, evaluating, and adjusting entrepreneurial policies in different countries. Based on the criteria of academic value and social influence, four index systems were selected for further investigation and thorough comparison. Subsequently, we selected five innovation-driven economies in Asian and using various indicators, examined whether their entrepreneurial performances differed significantly. A comparison with business environment and entrepreneurship rankings showed that Singapore has an entrepreneurship-friendly infrastructure but a negative entrepreneurial atmosphere. A similar situation exists in Hong Kong. By contrast, Japan has few entrepreneurial activities and the least favorable overall entrepreneurial environment in Asia. However, people in Taiwan and South Korea have strong entrepreneurial passion and are willing to actively participate while entrepreneurial environments are improving. In conclusion, Taiwan and South Korea are the more appropriate Asian countries for entrepreneurship in the future. The comparisons in this paper showed that four indices possess a certain level of explanatory power and limitations. Cross-referencing these indices can significantly enhance current understanding of relevant data.
机译:新生的企业家精神领域正在迅速增长,吸引许多部门的增加,该部门不断发展十个评估指标。尽管缺乏全面的比较,但这些测量指标的排名广泛用于调查,评估和调整不同国家的企业政策。根据学术价值和社会影响的标准,选择了四种指标系统进行进一步调查和彻底的比较。随后,我们在亚洲和使用各种指标中选择了五个创新驱动的经济体,检查了他们的企业性表演是否有显着不同。与商业环境和企业家精灵排名进行比较显示,新加坡拥有创业型基础设施,但却是负面的创业氛围。香港存在类似的情况。相比之下,日本在亚洲有很少的企业活动和最不利的整体创业环境。然而,台湾和韩国的人们拥有强大的创业热情,愿意积极参与,而企业家环境正在改善。总之,台湾和韩国将来是更合适的亚洲国家的企业家。本文的比较表明,四个指数具有一定程度的解释能力和限制。交叉引用这些指数可以显着增强当前对相关数据的理解。

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