arbiter
JournalsPricingAccount

Regional Clustering in Swedish Entrepreneurship: How do Immigrant and Native Startups Compare?

Hieu Nguyen Minh et al.

Journal of Comparative International Management2025https://doi.org/10.55482/jcim.2025.34496article
ABDC C
Weight
0.50

What the paper says

Employing the Getis-Ord local indicator of spatial autocorrelation and a combination of publicly available and restricted-access data on new business formation in Sweden, we document a novel set of results to extend the existing discourse on native and immigrant entrepreneurship. First, we find that the weak global interconnectedness in the data obscures the otherwise strong underlying local dynamics, with Swedish startups forming spatial clusters around the country’s largest economic hubs of Stockholm, Gothenburg, and Malmö. Second, we find that spatial dependence appears slightly stronger among immigrants than among natives. We rationalize our observations using the selection and agglomeration theories of economics and the disadvantage and cultural-capital theories of entrepreneurship research.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.55482/jcim.2025.34496

Or copy a formatted citation

@article{hieu2025,
  title        = {{Regional Clustering in Swedish Entrepreneurship: How do Immigrant and Native Startups Compare?}},
  author       = {Hieu Nguyen Minh et al.},
  journal      = {Journal of Comparative International Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.55482/jcim.2025.34496},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Regional Clustering in Swedish Entrepreneurship: How do Immigrant and Native Startups Compare?

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.