Agent-based modeling of the Tiebout hypothesis for 3 regions and 2 types of public services

R.R. Ramazanov, I.U. Zulkarnay

Abstract


The article presents a cognitive model of the choice that residents do moving from one region to another, depending on their individual preferences for public services and actual services provided by regional administrations. The practical benefit of this model is the possible increase in the effectiveness of public administration at the central and regional levels by understanding the processes of why and how people move between territories. Effective satisfaction of heterogeneous preferences of the population requires the state to take a federative approach to the governance over its territories. The federal principles presuppose the decentralization of power that means that regions have degree of autonomy. The latter allows local bureaucracies to independently determine the parameters of public services, and fiscal federalism gives regions independence in the formation of territorial budgets. This condition forces jurisdictions to compete for the population: local bureaucracies become interested in pursuing policies that take into account the interests of the local population and create incentives for attracting desirable migrants. Individuals, choosing the jurisdiction of residence, in the words of Tiebout, "vote with their feet”. This is the essence of his hypothesis. In this paper we present a version of the mathematical formalization of the Tiebout hypothesis. Using the agent-based approach, a simulation model is constructed. The model includes regions that provide their residents with two types of public services and individuals seek to choose the jurisdiction that best suits their preferences. Agents in the model have individual functions of supply and demand. Each region, based on the preferences of its population, sets the price and volume for a public service. In search of an optimum, individuals move between regions, thereby creating a new choice situation for everyone.

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References


Musgrave, R. (1959). The Theory of Public Finance. New York: McGraw-Hill.

Samuelson, P.A. (1954). The Pure Theory of Public Expenditure. Th e Review of Economics and Statistics, vol. 36, no 4, pp. 387–389.

Stiglitz, J.E . (1977). Theory of Local Public Goods. In: M.S. Feldstein and R.P. Inman (eds). The Economics of Public Services. London: Macmillan Press, pp. 274–333.

Bahl, R., Bird, R.M. Principles and practice (Book Chapter) Decentralization and Infrastructure in the Global Economy: From Gaps to Solutions. 2015. Vol: 143 pp: 101-145 (WoS)

del Granado, F.J.A., Martinez-Vazquez, J., McNab, R.M. Decentralized Governance, Expenditure Composition, and Preferences for Public Goods. Public Finance Review. 2018 (SCOPUS)

Rodriguez, D.B., Stiglitz, E.H., Weingast, B.R. Executive opportunism, presidential signing statements, and the separation of powers. Journal of Legal Analysis. 2016 (SCOPUS)

Martinez-Vazquez, J., Lago-Peñas, S., Sacchi, A. The impact of fiscal decentralization: a survey. Journal of Economic Surveys. 2017 (SCOPUS)

Liu, Y., Martinez-Vazquez, J., Wu, A.M. Fiscal decentralization, equalization, and intra-provincial inequality in China. International Tax and Public Finance. 2017 (SCOPUS)

Clements, B.J., Parry, I. Subsidies: Some work, others don’t. Finance and Development. 2018

Yushkov, A., Savulkin, L. & Oding, N. (2017). Intergovernmental Relations in Russia: Still a Pendulum? Public Administration Issues, Special Issue (electronic edition), pp. 38–59 (in English). Available at: doi: 10.17323/1999-5431-2017-0-5-38-59 (accessed: 01 February, 2018). (SCOPUS)

Parry, I.W.H., Timilsina, G.R. Demand-Side Instruments to Reduce Road Transportation Externalities in the Greater Cairo Metropolitan Area. International Journal of Sustainable Transportation. 2015 (SCOPUS)

Cox, G.W., Weingast, B.R. Executive Constraint, Political Stability, and Economic Growth. Comparative Political Studies. 2018 (SCOPUS)

Weingast, B.R. Second Generation Fiscal Federalism: Political Aspects of Decentralization and Economic Development. World Development. 2014 (WoS)

Liu, L., Weingast, B.R. Taobao, federalism, and the emergence of law, Chinese style. Minnesota Law Review. 2016. (SCOPUS)

Zulkarnay, I. (2018). Why Russia Has Again Been Sliding from Federalism to Unitarianism. Public Administration Issues, Special Issue (electronic edition), pp. 116–132 (in English); DOI: 10.17323/1999-5431-2018-0-5-116-132. (SCOPUS)

Martinez-Vasquez, Jorge; Boex, Jameson. 2001. Russia's Transition to a New Federalism. WBI Learning Resources;. Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/15248 License: CC BY 3.0 IGO.

Garcia-Milà, T., McGuire, T.J., Oates, W.E. Strength in diversity? Fiscal federalism among the fifty US states. International Tax and Public Finance. 2018 (SCOPUS)

Tiebout, C. (1956), "A Pure Theory of Local Expenditures", Journal of Political Economy, 64 (5): 416–424, doi:10.1086/257839. (SCOPUS)

Oates, W.E. (1972). Fiscal Federalism. Harcourt Brace Jovanovich.

Le Page C., Bazile D., Bommel P., Bousquet F., Trébuil G., Becu N., Etienne M., Mathevet R., Souchère V., Weber J. Agent-based modelling and simulation applied to environmental management. Understanding Complex Systems. 2017. № 9783319669472. С. 569-613. DOI: 10.1007/978-3-319-66948-9_22 (SCOPUS)

Akopov A.S., Beklaryan L.A., Saghatelyan A.K. Agent-based modelling for ecological economics: a case study of the republic of Armenia. Ecological Modelling. 2017. Т. 346. С. 99-118. DOI: 10.1016/j.ecolmodel.2016.11.012 (SCOPUS)

Geisendorf S., Klippert C. The effect of green investments in an agent-based climate-economic model. Environmental Modeling and Assessment. 2017. Т. 22. № 4. С. 323-343. DOI: 10.1007/s10666-017-9549-3 (SCOPUS)

Stricker L., Baruffini M. Spatial planning and policy evaluation in an urban conurbation: a regional agent-based economic model. Экономика региона. 2017. Т. 13. № 1. С. 261-275. DOI: 10.17059/2017-1-24 (SCOPUS)

de Bakker M.P., de Jong K., Schmitz O., Karssenberg D. Вesign and demonstration of a data model to integrate agent-based and field-based modelling. Environmental Modelling & Software. 2017. Т. 89. С. 172-189. DOI: 10.1016/j.envsoft.2016.11.016 (SCOPUS)

Макаров В.Л., Вахгизин А.Р., Сушко Е.Д., Агеева А.Ф. Имитация социально-экономической системы евразийского континента с помощью агент-ориентированных моделей. Прикладная эконометрика. 2017. № 4 (48). С. 122-139. URL: https://elibrary.ru/item.asp?id=30693841 (SCOPUS)

Макаров В.Л., Бахтизин А.Р., Сушко Е.Д., Агеева А.Ф. Агент-ориентированный подход при моделировании трудовой миграции из Китая в Россию. Экономика региона. 2017. Т. 13. № 2. С. 331-341. DOI: 10.17059/2017-2-1 (SCOPUS)

LeBaron B. Financial price dynamics and agent-based models as inspired by benoit Mandelbrot. The European Physical Journal. Special Topics. 2016. Т. 225. № 17-18. С. 3243-3254. DOI: 10.1140/epjst/e2016-60123-4 (SCOPUS)

Mueller M., Bogner K., Buchmann T., Kudic M. The effect of structural disparities on knowledge diffusion in networks: an agent-based simulation model. Journal of Economic Interaction and Coordination. 2017. Т. 12. № 3. С. 613-634. DOI: 10.1007/s11403-016-0178-8 (SCOPUS)

Red’ko V.G. Modeling of cognitive evolution: agent-based investigations in cognitive science. Lecture Notes in Computer Science. 2016. Т. 9719. С. 720-730. DOI: 10.1007/978-3-319-40663-3_83 (SCOPUS).


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