Abstract
We use the rise of Black Lives Matter and the sentiment of racial sympathy to examine the interplay between the social movement and citizens’ sympathetic actions in supporting Black people. Using detailed food order flow information from one of the largest online food delivery platforms in the USA, we find that the total number of food orders from Black-owned restaurants increased by 39% relative to nearby non-Black-owned restaurants in the 140 days following the murder of George Floyd on the basis of a difference-in-difference model. The platform company’s strategic traffic allocation acted as an accelerator, enhancing the sympathetic responses of individuals, but it did not drive the entire surge in food orders. Protests resulting in severe injuries and those linked to demands for defunding the police diminished the positive sympathetic responses, highlighting a potential risk associated with protests. Our study provides large-scale, micro-level evidence that social movements and increased sympathy can foster collective actions to support marginalized communities.
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Data availability
The food order dataset for this study was provided by one of the largest companies in the online food delivery industry under a non-disclosure agreement for the current study. Upon request, with the necessary non-disclosure agreements signed with NUS, the dataset is available on-site at NUS to replicate all the results from the deposited Stata code. The data on race distribution and median household income at the block group level are sourced from the American Community Survey 2019 5-year survey (https://www.census.gov/programs-surveys/acs/data.html), and the BLM protesting data are from the Crowd Counting Consortium Crowd Data run by the Harvard Nonviolent Action Lab (https://ash.harvard.edu/programs/crowd-counting-consortium/). The data on COVID-19 cases and deaths are sourced from USAFacts (https://usafacts.org/visualizations/coronavirus-covid-19-spread-map/state/virginia/county/bath-county/). The data on the Google search index for ‘black-owned business’ are sourced from Google trends (https://trends.google.com/trends).
Code availability
The Stata code used for data analysis in this study is available via GitHub at https://github.com/profgaga/Code-BLM.
References
-
Becker, G. S. A theory of social interactions. J. Polit. Econ. 82, 1063–1093 (1974).
-
Andreoni, J. Giving with impure altruism: applications to charity and Ricardian equivalence. J. Polit. Econ. 97, 1447–1458 (1989).
-
DellaVigna, S., List, J. A. & Malmendier, U. Testing for altruism and social pressure in charitable giving. Q. J. Econ. 127, 1–56 (2012).
-
McCarthy, J. D. & Zald, M. N. Resource mobilization and social movements: a partial theory. Am. J. Sociol. 82, 1212–1241 (1977).
-
Klandermans, B. Mobilization and participation: social-psychological expansions of resource mobilization theory. Am. Sociol. Rev. 49, 583–600 (1984).
-
Oegema, D. & Klandermans, B. Why social movement sympathizers don’t participate: erosion and nonconversion of support. Am. Sociol. Rev. 59, 703–722 (1994).
-
Dunivin, Z. O., Yan, H. Y., Ince, J. & Rojas, F. Black Lives Matter protests shift public discourse. Proc. Natl Acad. Sci. USA 119, e2117320119 (2022).
-
Eichstaedt, J. C. et al. The emotional and mental health impact of the murder of George Floyd on the US population. Proc. Natl Acad. Sci. USA 118, e2109139118 (2021).
-
Gillion, D. Q. The Political Power of Protest: Minority Activism and Shifts in Public Policy (Cambridge Univ. Press, 2013); https://doi.org/10.1017/CBO9781139381277
-
Wasow, O. Agenda seeding: how 1960s black protests moved elites, public opinion and voting. Am. Polit. Sci. Rev. 114, 638–659 (2020).
-
Mutz, D. C. Effects of changes in perceived discrimination during BLM on the 2020 presidential election. Sci. Adv. 8, 9140 (2022).
-
Hoffman, M. Does higher income make you more altruistic? Evidence from the Holocaust. Rev. Econ. Stat. 93, 876–887 (2011).
-
Piff, P. K., Stancato, D. M., Côté, S., Mendoza-Denton, R. & Keltner, D. Higher social class predicts increased unethical behavior. Proc. Natl Acad. Sci. USA 112, 3489–3494 (2012).
-
Gray, G. L. Brewing Outrage: The Role of Racial Sympathy in Shaping the Political Response to Police Shootings. PhD diss., Howard Univ. (2020).
-
Teeselink, B. K., Melios, G. Weather to protest: the effect of Black Lives Matter protests on the 2020 presidential election. SSRN https://doi.org/10.2139/ssrn.3809877 (2021).
-
Fan, J. S. Woke capital: the role of corporations in social movements. Harv. Bus. Law Rev. 9, 441–494 (2019); https://digitalcommons.law.uw.edu/faculty-articles/586
-
Aneja A., Reshef, O. & Luca, M. The Benefits of Revealing Race: Evidence from Minority-Owned Local Businesses Working Paper No. 30932 (NBER, 2024); https://doi.org/10.3386/w30932
-
Madestam, A., Shoag, D., Veuger, S. & Yanagizawa-Drott, D. Do political protests matter? Evidence from the Tea Party movement. Q. J. Econ. 128, 1633–1686 (2013).
-
Brown, J. & Sheridan, B. J. The impact of National Anthem protests on National Football League television ratings. J. Sports Econ. 21, 829–847 (2020).
-
Zion, A. & Hollmann, T. Food delivery apps: usage and demographics—winners, losers and laggards. Zion and Zion https://www.zionandzion.com/research/food-delivery-apps-usage-and-demographics-winners-losers-and-laggards/ (2019).
-
Sperling, N. & Vandegrift, D. Anthem protests, viewer politics, and the demand for NFL games: assessing the impact of National Anthem protests on viewership. J. Sports Econ. 23, 1017–1045 (2022).
-
de Chaisemartin, C. & D’Haultfœuille, X. Two-way fixed effects estimators with heterogeneous treatment effects. Am. Econ. Rev. 110, 2964–2996 (2020).
-
Baker, A. C., Larcker, D. F. & Wang, C. C. Y. How much should we trust staggered difference-in-differences estimates? J. Financ. Econ. 144, 370–395 (2022).
-
Goodman-Bacon, A. Difference-in-differences with variation in treatment timing. J. Econ. 225, 254–277 (2021).
-
Cengiz, D., Dube, A., Lindner, A. & Zipperer, B. The effect of minimum wages on low-wage jobs. Q. J. Econ. 134, 1405–1454 (2019).
-
Cohn, J. B., Liu, Z. & Wardlaw, M. I. Count (and count-like) data in finance. J. Financ. Econ. 146, 529–551 (2022).
-
Chen, J. & Roth, J. Logs with zeros? Some problems and solutions. Q. J. Econ. 139, 891–936 (2023).
-
Mullahy, J. & Norton, E. C. Why Transform Y? A Critical Assessment of Dependent-Variable Transformations in Regression Models for Skewed and Sometimes-Zero Outcomes. Working Paper No. 30735 (NBER, 2022); https://doi.org/10.3386/w30735
Acknowledgements
We acknowledge financial support from an NUS grant (no. A-0003917-00-00 to J.Z.). The funder had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. We acknowledge the food delivery platform for providing the food order data and explaining the institutional details.
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Extended data
Extended Data Fig. 1 Map of Black-owned restaurants and Google search trends.
Panel A presents the Google trends index of ‘Black-owned business’. Note the date on the horizontal axis indicates the beginning date of the week. Panel B presents a map that shows the location of Black-owned restaurants.
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Supplementary Tables 1–4.
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Agarwal, S., Lin, Y. & Zeng, J.(. Social movements boosted online orders for US Black-owned restaurants after the murder of George Floyd.
Nat Hum Behav (2024). https://doi.org/10.1038/s41562-024-02038-9
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DOI: https://doi.org/10.1038/s41562-024-02038-9