CREAT: Census Research Exploration and Analysis Tool

Industrial Concentration of Ethnic Minority- and Women-Owned Businesses in the United States

June 2013

Written by: Qingfang Wang

Working Paper Number:

CES-13-34

Abstract

The number of ethnic minority and women-owned businesses has increased rapidly during the past few decades. However, the characteristics of these businesses and their owners differ by race, ethnicity, and gender. Using a confidential national survey of ethnic minority and women-owned businesses in the United States, this study examines ethnic minority- and women-owned businesses segmented by industrial sectors. Consistent with gender occupational segregation, male- and female- owned businesses have distinctive sectoral concentration patterns, with ethnic minority women- owned businesses highly concentrated in a limited number of industrial sectors. However, the relationship between business sectoral concentration and business performance is not uniform across ethnic and gender groups. Concentration in specific industrial sectors does not necessarily mean poor performance when measured by sales, size of employment or payrolls. However, for women-owned businesses, those sectors obviously pay less and have marginal profits, especially if considering the size of the firms.

Document Tags and Keywords

Keywords Keywords are automatically generated using KeyBERT, a powerful and innovative keyword extraction tool that utilizes BERT embeddings to ensure high-quality and contextually relevant keywords.

By analyzing the content of working papers, KeyBERT identifies terms and phrases that capture the essence of the text, highlighting the most significant topics and trends. This approach not only enhances searchability but provides connections that go beyond potentially domain-specific author-defined keywords.
:
enterprise, employed, proprietorship, minority, entrepreneurship, entrepreneur, sector, hispanic, ethnicity, ethnic, establishment, immigrant, segregated, discrimination, segregation, disadvantaged, socioeconomic, disparity, ethnically

Tags Tags are automatically generated using a pretrained language model from spaCy, which excels at several tasks, including entity tagging.

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:
Internal Revenue Service, North American Industry Classification System, Survey of Business Owners

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