Non-Farm Proprietorship Employment By Us Metropolitan Area

Keith G. Debbage, Shaylee Bowen

JOURNAL OF ENTERPRISING COMMUNITIES-PEOPLE AND PLACES IN THE GLOBAL ECONOMY(2018)

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摘要
Purpose The entrepreneurial process is a result of an interaction between an individual entrepreneur and the surrounding entrepreneurial ecosystem. The purpose of this paper is to determine whether US metropolitan areas with disproportionately high shares of entrepreneurs are systematically linked to particular attributes of the entrepreneurial support system?Design/methodology/approach In this paper, non-farm proprietorship (NFP) employment data from the US Bureau of Economic Analysis is used as a dependent variable proxy for entrepreneurship. NFP data are widely used in the entrepreneurship literature. Data on all independent variables were obtained from the Census Bureau's American Community Survey and the Bureau of Labor Statistics by metropolitan area and subject to a stepwise linear regression analysis.Findings The relative share of NFP employment by metropolitan area exhibited a strong positive relationship with percentage of employment in finance, insurance and real estate, median age, percentage of Hispanic population and median home value. It is argued that the combination of significant predictors captures both out-of-necessity self-employment (e.g. low-skilled Hispanic and aging populations) and a self-employment of opportunity (e.g. access to capital).Practical implications Public policies focused on nurturing entrepreneurial ecosystems must account for these divergent explanatory frameworks when attempting to encourage NFP employment.Originality/value The paper has an explicit spatial context that tends to be overlooked in the traditional entrepreneurship literature. The focus on out-of-necessity versus opportunity-based entrepreneurship, and how it is shaped by some key predictors at the metropolitan scale, is a relatively new angle.
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关键词
Entrepreneurial ecosystems, Metropolitan areas, Non-farm proprietorship employment, Socio-economic predictors
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