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首页> 外文期刊>Journal of Business Research >The role of entrepreneurship, innovation, and urbanity-diversity on growth, unemployment, and income: US state-level evidence and an fsQCA elucidation
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The role of entrepreneurship, innovation, and urbanity-diversity on growth, unemployment, and income: US state-level evidence and an fsQCA elucidation

机译：创业，创新和城市的作用 - 多样性对增长，失业和收入：美国国家级证据和FSQCA阐明

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摘要

This study considers roles played by dimensions of entrepreneurship, innovation, and geography on United States (US) state level growth, unemployment, and income employing Fuzzy-set Qualitative Comparative Analyses (fsQCA). One important developmental feature of the analyses is the use of a novel fuzzy membership score creation process, undertaken to calibrate the considered condition and outcome variables. Moreover, fuzzy cluster analyses are undertaken, using the fuzzy c-means technique, on sets of constituent variables to produce sets of clusters interpretable to the relevant condition and outcome variables. A series of fsQCA investigations are undertaken across the different outcome variables of growth, unemployment, and income. The fsQCA results offer novel insights into variations in the US state level based outcome variables, and how dimensions of entrepreneurship, innovation, and the urbanity-diversity of the states contribute to this. The novel applied and technical developments offer expanding ideas on this area of research.
机译：本研究考虑了在美国（美国）国家一级增长，失业和收入的企业家精神，创新和地理方面发挥作用的角色，雇用模糊定性比较分析（FSQCA）。分析的一个重要发展特征是利用新的模糊会员评分创建过程，以校准考虑的条件和结果变量。此外，使用模糊C-Means技术对组成变量组的模糊C型方法进行模糊聚类分析，以产生对相关条件和结果变量解释的一组群集。在增长，失业和收入的不同成果变量中进行了一系列FSQCA调查。 FSQCA结果对美国州基于级别变量的变化提供了新的洞察力，以及企业家精神，创新和国家的城市的尺寸如何为此作出贡献。该新颖的应用和技术开发提供了对该研究领域的扩大思路。

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