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Erschienen in: Small Business Economics 1/2016

01.01.2016

Self-employment and trade shock mitigation

verfasst von: Jiaochen Liang, Stephan J. Goetz

Erschienen in: Small Business Economics | Ausgabe 1/2016

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Abstract

This paper investigates the moderating effects of entrepreneurial activity on the impact of trade penetration. Entrepreneurs may help to mitigate adverse trade shocks through several mechanisms, i.e., more flexible output structure, diversified economic portfolio, and higher knowledge spillovers from trade-induced R&D activities. Our empirical work embeds the analysis of entrepreneurship, measured using self-employment rates, into a framework of international trade and local labor markets. The empirical results show that the marginal impacts of Chinese import penetration on job losses are dampened in localities with higher self-employment rates, which suggests self-employment or entrepreneurial activities can mitigate the adverse impacts of trade penetration from low-income countries. Our study provides a novel perspective on entrepreneurs’ benefits on economic well-being: Besides their direct contribution to economic growth documented in earlier research, they can also enhance the resilience of a local economy in the face of external shocks.

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Fußnoten
1
We are grateful to an anonymous reviewer for pointing this out.
 
2
This is shown in the online data appendix.
 
3
However, all empirical conclusions in our study are also robust to the 2SLS approach specified by Autor et al. (2013). Regression results are available on request.
 
4
In the 2000 US Census data, total employment consists of four parts: wage-and-salary employment in private sectors, government employment, self-employment, and unpaid family workers.
 
8
We especially thank one of our reviewers for these suggestions.
 
9
The SIC industry division codes can be found in http://​www.​naics.​com/​sic-codes-industry-drilldown/​. County employment data of SIC industries are from the CBP data set mentioned above. More descriptive information about the industrial structure control variables is provided in the online data appendix.
 
11
The covariance between the number of self-employed and non-employers is 0.976 at the county level.
 
12
In particular, “most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income.” For definitions and non-employer data, see https://​www.​census.​gov/​econ/​nonemployer/​index.​html.
 
13
The geographic unit of analysis in our study is the county, which we suggest can provide more policy implications as in the USA it is the smallest administrative level with a functional government. But our main conclusions are also robust to using commuting zones, which are provided by the ERS/USDA based on labor market coherence. Detailed results are not reported here but are available on request.
 
14
Regression of ∆IPWUS,i on the self-employment rate yields: coeff = 0.086, t = −5.3, R 2 = 0.04.
 
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Metadaten
Titel
Self-employment and trade shock mitigation
verfasst von
Jiaochen Liang
Stephan J. Goetz
Publikationsdatum
01.01.2016
Verlag
Springer US
Erschienen in
Small Business Economics / Ausgabe 1/2016
Print ISSN: 0921-898X
Elektronische ISSN: 1573-0913
DOI
https://doi.org/10.1007/s11187-015-9677-6

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