Abstract
Economic inequality in urban settings is a readily observable phenomenon in contemporary cities, but historical research reflects that the problem is not new. In this paper, we argue that there are citizen-level interactions and arrangements that contribute to the stability of a small group of wealthy citizens alongside a high degree of transience in the poor and more populous part of the city. We developed an agent-based model that drew on the dynamics revealed in a study of Hamilton, Ontario (1851–1861) by Michael Katz (1977). Our central hypothesis was that the wealthy developed and have had access to institutional resources that buffered negative externalities whereas the poor did not. Early results suggest that the presence of an entity that can pool individual agent resources contributes to sustained inequality expressed as a Gini coefficient. Our model is based on Epstein and Axtell’s sugarscape models (1996) where a probability function led to proto-institutions that emerged from inter-agent interactions and thereafter produced greater stability, higher levels of wealth (sugar), and longer lifespans for their participating agents. The inverse was true for the agents who did not have institutional access.
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References
Epstein, J. M., & Axtell, R. L. (1996). Growing artificial societies: Social science from the bottom up. Washington, D.C.: Brookings Institution Press.
OECD. (2011). Divided we stand. Paris: Organization for Economic Cooperation and Development.
OECD. (2008). Growing unequal? Paris: Organization for Economic Cooperation and Development.
Frank, P. M., & Shockley, G. E. (2016). A critical assessment of social entrepreneurship Ostromian Polycentricity and Hayekian knowledge. Nonprofit and Voluntary Sector Quarterly, 45, 615–775. https://doi.org/10.1177/0899764016643611
Ostrom, E. (1986). An agenda for the study of institutions. Public Choice, 48(1), 3–25.
Yan, F. (2018). Urban poverty, economic restructuring and poverty reduction policy in urban China: Evidence from Shanghai, 1978-2008. Development Policy Review, 36(4), 465–481. https://doi.org/10.1111/dpr.12303
Chang, G. H. (2002). The cause and cure of China’s widening income disparity. China Economic Review, 13(4), 335–340. https://doi.org/10.1016/S1043-951X(02)00089-5
Zhao, W., & Zhou, X. (2017). From institutional segmentation to market fragmentation: Institutional transformation and the shifting stratification order in urban China. Social Science Research, 63, 19–35. https://doi.org/10.1016/j.ssresearch.2016.09.002
Luisa Mendez, M., & Otero, G. (2018). Neighbourhood conflicts, socio-spatial inequalities, and residential stigmatisation in Santiago, Chile. Cities, 74, 75–82. https://doi.org/10.1016/j.cities.2017.11.005
Rice, M., & Hancock, T. (2016). Equity, sustainability and governance in urban settings. Global Health Promotion, 23, 94–97. https://doi.org/10.1177/1757975915601038
Aguilar, A. G., & Lopez, F. M. (2018). The city-region of Mexico City: Social inequality and a vacuum in development planning. International Development Planning Review, 40(1), 51–74. https://doi.org/10.3828/idpr.2018.3
Kolodii, N. A., Karlova, L. V., Chaykovskiy, D. V., & Sinyaeva, M. A. (2017). The killing fields of social inequality: Experience of understanding modern urban development. In F. Casati, G. A. Barysheva, & W. Krieger (Eds.), International scientific symposium on lifelong wellbeing in the world (wellso 2016) (Vol. 19, pp. 638–647). Nicosia: Future Academy.
Klehm, C. E. (2017). Local dynamics and the emergence of social inequality in iron age Botswana. Current Anthropology, 58(5), 604–633. https://doi.org/10.1086/693960
Deslatte, A., Feiock, R. C., & Wassel, K. (2017). Urban pressures and innovations: Sustainability commitment in the face of fragmentation and inequality. Review of Policy Research, 34(5), 700–724. https://doi.org/10.1111/ropr.12242
Sugrue, T. J. (2005). The origins of the urban crisis: Race and inequality in postwar Detroit (with a new preface by the author edition). Princeton, NJ: Princeton University Press.
OECD. (2018). Divided cities. Paris: Organization for Economic Cooperation and Development.
OECD. (2015). In it together: Why less inequality benefits all. Paris: Organization for Economic Cooperation and Development.
Katz, M. B. (1977). The people of Hamilton Canada west: Family and class in a mid 19th century city. Cambridge, MA: Harvard University Press.
Gehl, J., & Rogers, L. R. (2010). Cities for people. Washington, DC: Island Press.
Page, S. E. (2010). Complexity in social, political, and economic systems (SSRN scholarly paper no. ID 1889359). Rochester, NY: Social Science Research Network.
Page, S. E. (2017). Many models thinking. In Presentation presented at the Computational Social Sciences Society of the Americas, Santa Fe, NM. Retrieved from https://computationalsocialscience.org/events/css2017/
OECD. (2018). A broken social elevator? How to promote social mobility (p. 352). Paris: OECD Publishing.
Macal, C. M., & North, M. J. (2005). Tutorial on agent-based modeling and simulation. In Proceedings of the 37th conference on winter simulation (pp. 2–15). Orlando, FL: Winter Simulation Conference. Retrieved from http://dl.acm.org/citation.cfm?id=1162708.1162712
Lohmann, R. A. (2016). The Ostroms’ commons revisited. Nonprofit and Voluntary Sector Quarterly, 45, 7–26. https://doi.org/10.1177/0899764016643613
Ostrom, E. (2005). Understanding institutional diversity. Princeton, NJ: Princeton University Press.
Keuschnigg, M., Lovsjö, N., & Hedström, P. (2018). Analytical sociology and computational social science. Journal of Computational Social Science, 1(1), 3–14. https://doi.org/10.1007/s42001-017-0006-5
Peregrine, P. N. (2017). Toward a theory of recurrent social formations (SFI Working Paper No. 2017–08–026) (pp. 1–33). Santa Fe, New Mexico: Santa Fe Institute. Retrieved from https://www.santafe.edu/research/results/working-papers/toward-theory-recurrent-social-formations
Alexander, C. (2001). The nature of order: The phenomenon of life (Vol. 1). Berkeley, CA: Center for Environmental Structure.
Mehaffy, M. W., & Alexander, C. (2016). A City is not a tree: 50th anniversary edition. Portland: Sustasis Press.
Sieweke, J. (2014). Preserving the natural flow: Natural disasters in ignorance. In IntAR (Vol. 5). Providence, RI: Rhode Island School of Design.
Epstein, J. M. (2001). Remarks on the foundations of agent-based generative social science. Retrieved 13 March, 2018, from https://www.brookings.edu/research/remarks-on-the-foundations-of-agent-based-generative-social-science/
Epstein, J. M. (2006). Agent-based computational models and generative social science. In Generative social science: Studies in agent-based computational modeling (pp. 4–46). Princeton, NJ: Princeton University Press.
Sanchez, S. M. (2018). S-NOLH design worksheet [Excel]. Retrieved from https://my.nps.edu/documents/106696734/108129284/S-NOLH_v1.xls/14b5dea5-266a-409e-a4f1-457cd37a4e8c
Bavelas, A. (1947). A mathematical model for group structures. Human Organization, 7(3), 16–30.
Sallach, D. L. (2003). Social theory and agent architectures: Prospective issues in rapid-discovery social science. Social Science Computer Review, 21(2), 179–195. https://doi.org/10.1177/0894439303021002004
Jolliffe, I., & Morgan, B. (1992). Principal component analysis and exploratory factor analysis. Statistical Methods in Medical Research, 1(1), 69–95. https://doi.org/10.1177/096228029200100105
Macal, C. M., & North, M. J. (2009). Agent-based modeling and simulation (pp. 86–98). New York: IEEE.
Jacobs, J. (2016). A living network of relationships. In S. Zipp & N. Storring (Eds.), Vital little plans: A collection of the short works of Jane Jacobs. New York: Random House.
Granovetter, M. S. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360–1380.
Helbing, D. (Ed.). (2012). Social self-organization: Agent-based simulations and experiments to study emergent social behavior. Berlin: Springer.
Allen, D. W. (2011). The institutional revolution: Measurement and the economic emergence of the modern world. Chicago, IL: University of Chicago Press.
Yang, Z. (2017). Integrating agent learning and agent based models. In Presented at the computational social sciences Society of the Americas, Santa Fe, New Mexico.
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Friesen, M.J., Mudigonda, S.P. (2020). Institutional Emergence and the Persistence of Inequality in Hamilton, ON 1851–1861. In: Carmichael, T., Yang, Z. (eds) Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas. CSSSA 2018. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-35902-7_1
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