國立虎尾科技大學 |

Geographies of entrepreneurship : = Non-farm proprietorship employment by U.S. metropolitan area -- The key predictors.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Geographies of entrepreneurship :/
其他題名:	Non-farm proprietorship employment by U.S. metropolitan area -- The key predictors.
作者:	Bowen, Shaylee Renee.
面頁冊數:	1 online resource (68 pages)
附註:	Source: Masters Abstracts International, Volume: 56-03.
標題:	Entrepreneurship. -
電子資源:	click for full text (PQDT)
ISBN:	9781369508888

Geographies of entrepreneurship : = Non-farm proprietorship employment by U.S. metropolitan area -- The key predictors.
Bowen, Shaylee Renee.

Geographies of entrepreneurship :Non-farm proprietorship employment by U.S. metropolitan area -- The key predictors. - 1 online resource (68 pages)

Source: Masters Abstracts International, Volume: 56-03.

Thesis (M.A.)--The University of North Carolina at Greensboro, 2016.

Includes bibliographical references

The entrepreneurial process is the result of the interaction between the individual entrepreneur and the surrounding environment or entrepreneurial ecosystem, which is heterogeneously endowed with knowledge, institutions, resources, and demand for products. Such a perspective raises an important policy question: Are metropolitan areas with disproportionally high shares of entrepreneurs or self-employed people systematically linked to particular attributes of the entrepreneurial eco-system or support system? In this paper non-farm proprietorship (NFP) employment data is utilized as a proxy for entrepreneurship. To examine the spatial patterns of NFP employment by MSA, data on the percent share of NFP employment relative to total employment was collected for 356 MSAs. It is hypothesized that NFP employment by MSA will be linked to both key predictor variables that capture higher qualities of life and access to capital (i.e., opportunity-based entrepreneurship) and, on the other hand, underperforming entrepreneurial eco-systems featuring poorly educated labor pools and high unemployment rates (i.e., necessity driven self-employment). Based primarily on previous research, 26 independent variables were amassed according to their expected relationships with NFP employment. Data on all independent variables was obtained from the Census Bureau's American Community Survey, the Bureau of Economic Analysis, or the Bureau of Labor Statistics. Ultimately, it was determined that NFP employment by MSA seems to be best explained by metro-wide ecosystems that have a high percent FIRE, median age, percent Hispanic, and median home value.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369508888Subjects--Topical Terms:

559908
Entrepreneurship.
Index Terms--Genre/Form:

554714
Electronic books.

Geographies of entrepreneurship : = Non-farm proprietorship employment by U.S. metropolitan area -- The key predictors.
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500 $a Source: Masters Abstracts International, Volume: 56-03.
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504 $a Includes bibliographical references
520 $a The entrepreneurial process is the result of the interaction between the individual entrepreneur and the surrounding environment or entrepreneurial ecosystem, which is heterogeneously endowed with knowledge, institutions, resources, and demand for products. Such a perspective raises an important policy question: Are metropolitan areas with disproportionally high shares of entrepreneurs or self-employed people systematically linked to particular attributes of the entrepreneurial eco-system or support system? In this paper non-farm proprietorship (NFP) employment data is utilized as a proxy for entrepreneurship. To examine the spatial patterns of NFP employment by MSA, data on the percent share of NFP employment relative to total employment was collected for 356 MSAs. It is hypothesized that NFP employment by MSA will be linked to both key predictor variables that capture higher qualities of life and access to capital (i.e., opportunity-based entrepreneurship) and, on the other hand, underperforming entrepreneurial eco-systems featuring poorly educated labor pools and high unemployment rates (i.e., necessity driven self-employment). Based primarily on previous research, 26 independent variables were amassed according to their expected relationships with NFP employment. Data on all independent variables was obtained from the Census Bureau's American Community Survey, the Bureau of Economic Analysis, or the Bureau of Labor Statistics. Ultimately, it was determined that NFP employment by MSA seems to be best explained by metro-wide ecosystems that have a high percent FIRE, median age, percent Hispanic, and median home value.
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