Abstract
Organized crime satisfies the demand for protection and enforcement of property rights in the absence of effective government institutions. However, weak law enforcement alone cannot explain the cross-regional differences in mafia activity. This chapter develops a feedback model of economic causes for the rise of the Sicilian mafia. Grounded in earlier economic research, the model incorporates causal relationships between the mafia’s activities, predation, law enforcement, and the profitability of the local businesses. The model explains important historical observations such as the emergence of the mafia in wealthier regions and its absence in the poorer districts despite the greater levels of banditry. Using computational experiments with the model, we explore how different factors and feedback effects impact the mafia’s activities.
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Notes
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https://www.iseesystems.com/. Last accessed on June 24, 2020.
- 2.
An electronic version of the model is available as an online supplementary file with this chapter.
References
Acemoglu, D., De Feo, G., & De Luca, G. D. (2020). Weak states: Causes and consequences of the Sicilian Mafia. The Review of Economic Studies, 87(2), 537–581.
Allum, F., & Sands, J. (2004). Explaining organized crime in Europe: Are economists always right? Crime, Law & Social Change, 41, 133–160.
Anderson, J. E., & Bandiera, O. (2006). Traders, Cops, and Robbers. Journal of International Economics, 70(1), 197–215.
Bandiera, O. (2003). Private states and the enforcement of property rights: Theory and evidence on the origins of the Sicilian Mafia. The Journal of Law, Economics, & Organization, 19(1), 218–244.
Blok, A. (1966). Land reform in a west sicilian Latifondo village: The persistence of a feudal structure. Anthropological Quarterly, 39(1), 1–16.
Blok, A. (1969). Peasants, patrons, and brokers in Western Sicily. Anthropological Quarterly, 42(3), 155–170.
Brögger, J. (1968). Conflict resolution and the role of the bandit in peasant society. Anthropological Quarterly, 41, 228–40.
Buchanan, J. M. (1980). A defense of organized crime. In R. Adreano & J. Siegfried (Eds.), The Economics of Crime (pp. 119–132). New York: Wiley.
Buonanno, P., Durante, R., Prarolo, G., & Vanin, P. (2015). Poor institutions, rich mines: resource curse in the origins of the Sicilian Mafia. The Economic Journal, 125(586), F175–F202.
Cavana, R. Y., & Forgie, V. E. (2018). Overview and Insights from ‘Systems Education for a Sustainable Planet’. Systems, 6(5), 1–12.
Davidsen, P., Kopainsky, B., Moxnes, E., Pedercini, M., & Wheat, D. (2014). Systems education at Bergen. Systems, 2(2), 159–167.
Davis, J. P., Eisenhardt, K. M., & Bingham, C. B. (2007). Developing theory through simulation methods. Academy of Management Review, 32(2), 480–499.
Del Monte, A., & Pennacchio, L. (2012). Agricultural productivity, banditry and criminal organisations in post-unification Italy. Rivista Italiana degli Economisti, 3, 347–378.
Dimico, A., Isopi, A., & Olsson, O. (2017). Origins of the Sicilian Mafia: The market for lemons. The Journal of Economic History, 77(4), 1083–1115.
Duggan, J. (2018). System dynamics modeling with R. New York: Springer.
Feichtinger, G., & Novak, A. J. (1994). Differential game model of the dynastic cycle: 3D-Canonical system with a stable limit cycle. Journal of Optimization Theory and Applications, 80(3), 407–423.
Feichtinger, G., Forst, C. V., & Piccardi, C. (1996). A nonlinear dynamical model for the dynastic cycle. Chaos, Solitons & Fractals, 7(2), 257–269.
Forrester, J. W. (1958). Industrial dynamics: A major breakthrough for decision makers. Harvard Business Review, 26(4), 37–66.
Forrester, J. W. (1961). Industrial dynamics. Cambridge, MA: Productivity Press.
Forrester, J. W. (1969). Urban dynamics. Cambridge, MA: Productivity Press.
Galbraith, P. (2010). System dynamics: A lens and scalpel for organizational decision making. OR Insight, 23(2), 96–123.
Georgantzas, N. C., & Katsamakas, E. (2008). Information systems research with system dynamics. System Dynamics Review, 24(3), 247–264.
Gambetta, D. (1993). The Sicilian Mafia: The business of private protection. Cambridge, MA: Harvard University Press.
Jahangirian, M., Eldabi, T., Naseer, A., Stergioulas, L. K., & Young, T. (2010). Simulation in manufacturing and business: A review. European Journal of Operational Research, 203(1), 1–13.
Konrad, K. A., & Skaperdas, S. (2012). The market for protection and the origin of the state. Economic Theory, 50(2), 417–443.
Lane, D. C. (2000). Diagramming conventions in system dynamics. Journal of the Operational Research Society, 51(2), 241.
Langarudi, S. P., & Radzicki, M. J. (2018). A simulation model of Katouzian’s theory of arbitrary state and society. Forum for Social Economics, 47(1), 115–152.
Maani, K. E., & Cavana, R. Y. (2007). Systems thinking, system dynamics: Managing change and complexity. Cambridge, MA: Pegasus Communications.
Milhaupt, C., & West, M. (2000). The dark side of private ordering: An institutional and empirical analysis of organized crime. University of Chicago Law Review, 67, 41–49.
Morecroft, J. (2007). Strategic modelling and business dynamics: A feedback systems approach. Oxford: Wiley.
Olson, M. (1965). The logic of collective action. Public goods and the theory of groups. Cambridge, MA: Harvard University Press.
Pavlov, O., Doyle, J., Saeed, K., Lyneis, J., & Radzicki, M. (2014). The design of educational programs in system dynamics at worcester polytechnic institute (WPI). Systems, 2(1), 54–76.
Pavlov, O. V., Radzicki, M., & Saeed, K. (2005). Stability in a superpower-dominated global economic system. Journal of Economic Issues, 39(2), 491–501.
Pavlov, O. V., & Saeed, K. (2004). A resource-based analysis of peer-to-peer technology. System Dynamics Review, 20(3), 237–262.
Pedercini, M., Movilla Blanco, S., & Kopainsky, B. (2011). Application of the malaria management model to the analysis of costs and benefits of DDT versus non-DDT malaria control. PLoS ONE, 6(11), e27771.
Saeed, K., & Pavlov, O. V. (2008). Dynastic cycle: a generic structure describing resource allocation in political economies, markets and firms. Journal of the Operational Research Society, 59, 1289–1298.
Saeed, K., Pavlov, O. V., Skorinko, J., & Smith, A. (2013). Farmers, bandits and soldiers: a generic system for addressing peace agendas. System Dynamics Review, 29(4), 237–252.
Skaperdas, S. (2001). The political economy of organized crime: providing protection when the state does not. Economics of Governance, 2(3), 173–202.
Schaffernicht, M. F. G., & Groesser, S. N. (2016). A competence development framework for learning and teaching system dynamics. System Dynamics Review, 32(1), 52–81.
Sterman, J. D. (2000). Business dynamics. Boston: MA, McGraw-Hill.
Usher, D. (1989). The dynastic cycle and the stationary state. American Economic Review, 79(5), 1031–1044.
Varese, F. (1994). Is Sicily the future of Russia? Private protection and the rise of the Russian Mafia. Archive of European Sociology, 35, 224–258.
Warren, K. (2002). Competitive strategy dynamics. New York, NY: Wiley.
Wils, A., Kamiya, M., & Choucri, N. D. (1998). Threats to sustainability: simulating conflict within and between nations. System Dynamics Review, 14(2–3), 129–162.
Zainal, A. N., Mamat, M., Dangerfield, B., Zulkepli, J. H., Baten, M. A., & Wibowo, A. (2014). Combating obesity through healthy eating behavior: A call for system dynamics optimization. PLoS ONE, 9(12), e114135.
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Pavlov, O.V., Sardell, J.M. (2021). Economic Origins of the Sicilian Mafia: A Simulation Feedback Model. In: Cavana, R.Y., Dangerfield, B.C., Pavlov, O.V., Radzicki, M.J., Wheat, I.D. (eds) Feedback Economics. Contemporary Systems Thinking. Springer, Cham. https://doi.org/10.1007/978-3-030-67190-7_6
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