New Firm Creation: A Global Assessment of National, Contextual, and Individual Factors

P. Reynolds
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引用次数: 53

Abstract

The prevalence of individuals actively involved in business creation among 75 countries varies from one in thirty (Japan, Belgium, France) to one in three (Peru, Uganda). Predictive models reflecting five national aspects — economic, structural, centralized control, population potential for entrepreneurship, and cultural support — are able to account for 63% to 93% of the variation in 23 types of business creation. The most important factors associated with the prevalence of business creation are the capacity of the population to participate in business start-ups, a high prevalence of small businesses, participation of women in the labor force, the presence of informal investors, emphasis on traditional rather than secular–rational values, presence of young adults, and income inequality. The use of log linear regression modeling to predict individual participation in 15 types of business creation explained from 14% to 41% of the variance. Personal attributes, national cultural and social norms, and personal context were much more likely to be associated with individual participation in business creation than characteristics of the national economy, economic structure, population readiness for business creation or centralized control of economic activity. The primary policy implication is that efforts to directly prepare individuals for business creation are more likely to have an impact compared to adjustments in regulatory procedures or legal standards. The assessment demonstrates the considerable value from harmonized cross national data on business creation and national attributes. There remains, however, substantial opportunity for improving understanding of the entrepreneurial process.
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新企业创建:国家、环境和个人因素的全球评估
在75个国家中,积极参与创业的个人比例从三十分之一(日本、比利时、法国)到三分之一(秘鲁、乌干达)不等。反映五个国家方面的预测模型——经济、结构、集中控制、人口创业潜力和文化支持——能够解释23种商业创造类型中63%至93%的变化。与创业盛行相关的最重要因素是人口参与创业的能力、小企业的高度盛行、妇女在劳动力中的参与、非正式投资者的存在、对传统而非世俗理性价值观的重视、年轻人的存在以及收入不平等。使用对数线性回归模型预测个人参与15种类型的企业创建解释从14%到41%的方差。个人属性、国家文化和社会规范以及个人背景更可能与个人参与创业有关,而不是国民经济特征、经济结构、人口对创业的准备程度或经济活动的集中控制。主要的政策含义是,与调整监管程序或法律标准相比,直接培养个人创业的努力更有可能产生影响。该评估表明,关于企业创造和国家属性的统一跨国数据具有相当大的价值。然而,仍然有大量的机会来提高对创业过程的理解。
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