Personal Satisfaction and Economic Improvement

Harvey, Adia M.

doi:10.1177/0021934706290982

Cited by 4 publications

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although entrepreneurship does not have a univocal definition (Faggian, 2017), and according to Drucker (1985), “there has been total confusion over the definitions of ‘entrepreneur’ and ‘entrepreneurship’” (p. 21), it has not suffered from a lack of extensive research (Lofstrom, 2017; Qian, 2016; Backman and Lööf, 2015; Baycan-Levent and Nijkamp, 2009; Harvey, 2008; Acs and Armington, 2004). Over the years, research devoted to understanding economic development, entrepreneurship and population change has tended to focus on metropolitan areas, traditional areas of labor in-migration since the Industrial Revolution (Vias et al , 2002).…”

Section: Literature Reviewmentioning

confidence: 99%

Non-farm proprietorship employment by micropolitan county

Bignall

Debbage

2022

JEC

View full text Add to dashboard Cite

Purpose Some US counties are more likely to generate entrepreneurial opportunities. This paper aims to determine whether US micropolitan counties with disproportionately high nonfarm proprietorship (NFP) employment levels are systematically linked to specific attributes of the entrepreneurial ecosystem. A limited amount of research has been conducted on the geography of entrepreneurship in small to medium-sized micropolitan counties where rates of growth and change can be quite dramatic. Design/methodology/approach NFP employment data from the US Bureau of Economic Analysis (BEA) 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 US Census Bureau’s American Community Survey and BEA by county and subject to stepwise linear regression. Findings Results revealed a strong positive relationship between the percent of NFP employment by micropolitan county and percent construction employment, percent real estate, and rental and leasing employment, and the percent elderly. It is argued that the combination of predictors captures primarily a self-employment of opportunity (e.g., thriving land and real estate markets). Practical implications In attempting to encourage NFP employment, policymakers should be more alert to the key predictors that shape micropolitan entrepreneurial ecosystems when attempting to enhance competitive advantage in small- to medium-sized communities. Better understanding how micropolitan counties function relative to larger metropolitan places can help local policymakers more efficiently enhance the overall quality of life in smaller communities. Originality/value The focus on smaller micropolitan communities and the explicit spatial context of this paper has sometimes been overlooked in the traditional entrepreneurship literature and this research helps to fill that gap.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Non-farm proprietorship employment by micropolitan county

Bignall

Debbage

2022

JEC

View full text Add to dashboard Cite

show abstract

Women of Color in the Workplace: Supports, Barriers, and Interventions

O’Brien

Franco

Dunn

2014

Handbook of Race-Ethnicity and Gender in Psychology

View full text Add to dashboard Cite

Self-employment by US county: key predictors

Bignall

Debbage

2020

JEC

View full text Add to dashboard Cite

Purpose Some US counties are more likely to generate entrepreneurial opportunities than others. This paper aims to determine the linkages between US counties with disproportionately high shares of entrepreneurs and specific attributes of the entrepreneurial support system. Design/methodology/approach Non-farm proprietorship (NFP) has been used as a proxy for entrepreneurship and self-employment. NFP employment data were collected from the US Bureau of Economic Analysis by county. Data on all independent variables were obtained from the US Census and Bureau of Economic Analysis by county and subject to stepwise linear regression analysis. Findings Results revealed a strong positive relationship between the percent of NFP employment by county and the percent real estate, rental and leasing employment and construction employment as well as percent Hispanic and median age. Practical implications In attempting to encourage NFP employment, policymakers should be more aware of the key predictors that shape county-wide entrepreneurial ecosystems to enhance competitive advantage. Better understanding of the needs and experiences of different types of entrepreneurs and ecosystems can enhance overall quality of life and economic opportunity levels in a community. Originality/value The explicit spatial context of this paper has sometimes been overlooked in the traditional entrepreneurship literature, as such, this paper helps fill that gap. The findings provide a disaggregated analysis that can help better understand the key predictors that can drive the local choices of entrepreneurs and help local policymakers to build more competitive communities.

show abstract

Personal Satisfaction and Economic Improvement

Cited by 4 publications

References 4 publications

Non-farm proprietorship employment by micropolitan county

Non-farm proprietorship employment by micropolitan county

Women of Color in the Workplace: Supports, Barriers, and Interventions

Self-employment by US county: key predictors

Contact Info

Product

Resources

About