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Organizing Black Business: The National Negro Business League, 1900–1915

Published online by Cambridge University Press:  17 October 2024

Adam Chamberlain*
Affiliation:
Department of Political Science, Coastal Carolina University, Conway, SC, USA
Alixandra B. Yanus
Affiliation:
Department of Political Science, High Point University, High Point, NC, USA Department of Government & Justice Studies, Appalachian State University, Boone, NC, USA
*
Corresponding author: Adam Chamberlain; Email: achamber@coastal.edu
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Abstract

Founded by Booker T. Washington in 1900, the National Negro Business League (NNBL) sought to unite Black business owners, promote entrepreneurship, and develop economic power. Despite its prominence in the early twentieth century, the group declined after Washington’s death in 1915. As a result, little is known about its organizational development. This study uses data on state and local Negro Business Leagues (NBLs), along with active and life members of the NNBL, to better understand the group’s first fifteen years. Analyses reveal that the NNBL’s development reflected closely the social and economic context of early twentieth century Black America. Generally speaking, the NNBL was stronger in states with larger urban Black populations and where the value of Black-owned farms was higher, consistent with the importance of agriculture to Black business during this era. These results both shed light on the NNBL’s early success and suggest avenues for future research on its decline.

Information

Type
State of the Art
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Hutchins Center for African and African American Research
Figure 0

Table 1. Count of Local NBLs in States Recording at Least One Local NBL, Ranked from Highest to Lowest in 1915

Figure 1

Table 2. Count of NNBL Active Members in States Recording Membership, Ranked from Highest to Lowest in 1915

Figure 2

Table 3. Count of NNBL Life Members in States Recording Membership, Ranked from Highest to Lowest in 1915

Figure 3

Table 4. Firth Logit Models Estimating Presence of State NBL Affiliate, 1915

Figure 4

Figure 1. Probability of State NBL Affiliate by Value of Black-Owned Farms.Notes: Left panel based on estimates from Table 4, Model 1; right panel based on estimates from Table 4, Model 2. The y-axis sets the value of farms (per 10,000) at one standard deviation below the mean, at the mean, and one and two standard deviations above the mean (rounded). All other predictors are held at their mean values. Bars represent 95% confidence intervals.

Figure 5

Table 5. Negative Binomial Regressions Estimating Counts of Local NBL Affiliates, NNBL Active Members, and NNBL Life Members by State, 1915

Figure 6

Figure 2. Predicted Local NBLs, Active Members, and Life Members by Urban Black Population.Notes: Predictions based on Table 5, Model 1 for each dependent variable. The y-axis sets the value of urban population (per 10,000) at one standard deviation below the mean, at the mean, and one and two standard deviations above the mean (rounded). The value of Black-owned farms is held at its mean. Bars represent 95% confidence intervals.

Figure 7

Table 6. Regressions Estimating Changes in Counts of Local NBL Affiliates (1907-1915), NNBL Active Members (1905-1915), and NNBL Life Members (1905-1915) by State

Figure 8

Figure 3. Predicted Change in Local NBLs, Active Members, and Life Members.Notes: Predictions based on Table 6, Model 1 for each dependent variable. The y-axis sets the value of urban population (per 10,000) or the value of Black-owned farms (per 10,000) at one standard deviation below the mean, at the mean, and one and two standard deviations above the mean (rounded). Other predictors are held at their mean values. Bars represent 95% confidence intervals.