Abstract
This paper presents MOSIPS (MOdel of Simulation of Impacts of Public Policies on SMEs), a multi-agent model of an open economy. It is part of a user-friendly object-oriented interactive intelligent policy simulation system allowing forecasting and visualizing the socio-economic potential impact of public policies for supporting SMEs. MOSIPS model specifies the characteristics of every agent, and its particular feature is that it locates accurately agents in the space, using this information to precisely determine the interaction network. It represents the dynamic behaviour of people and enterprises, analysing their decisions and interactions in the social networks. It can be used to model macro-economic features of a system and permits focusing on a specific part of the economy, both at sector and spatial level.
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References
Albino V, Carbonara N, Giannoccaro I (2007) Supply chain cooperation in industrial districts: a simulation analysis. Eur J Oper Res 177:261–280
Aldrich HE, Cliff JE (2003) The pervasive effects of family on entrepreneurship: toward a family embeddedness perspective. J Bus Venturing 18(5):573–596
Ardagna S, Lusardi A (2010) Explaining international differences in entrepreneurship: the role of individual characteristics and regulatory constrains. In: Lerner J, Schoar A (eds) International differences in entrepreneurship. University of Chicago Press, Chicago, pp 17–62
Arrow KJ, Debreu G (1954) The existence of an equilibrium for a competitive economy. Econometrica 22:265–290
Brunet I, Alarcón A (2004) Teorías sobre la figura del emprendedor. Rev Sociol 73:81–103
Coviello N, Munro H (1995) Growing the entrepreneurial firm: networking for international market development. Eur J Mark 29(7):49–61
Dawid H, Gemkow S, Harting P, van der Hoog S, Neugart M (2011) The Eurace@Unibi model: an agent-based macroeconomic model for economic policy analysis. Available from www.wiwi.uni-bielefeld.de/vpl1/projects/eurace/eurace-unibi.html
DíOrazio M, DiZio M, Scanu M (2006) Statistical matching: theory and practice. Wiley, New York
Dosi G, Fagiolo G, Roventini A (2008) Schumpeter meeting Keynes: a policy-friendly model of endogenous growth and business cycles. Laboratory of Economics and Management, SantAnna School of Advanced Studies. LEM working paper series 21
Farmer J, Foley D (2009) The economy needs agent-based modelling. Nature 460:685–686
Gallego FJ (2010) A population density grid of the European Union. Popul Environ 31:460–473
Gintis H (2006) The emergence of a price system from decentralized bilateral exchange. BE J Theor Econ 6:1302–1322
Gulati R (1999) Network location and learning: the influence of network resources and firm capabilities. Strateg Manag J 20(5):397–420
Mandel A, Fürst S, Lass W, Meissner F, Jaeger CC (2009) Lagom generiC: an agent-based model of growing economies. ECF working paper 1. Available from www.europeanclimate-forum.net/index.php?id=ecfworkingpapers
Meyer M, Aderhold J, Duschek S (2004) Organizing social complexity in production networks. J Acad Bus Econ 3(1):1
Nielsen K, Sarasvathy S (2011) Who re-enters entrepreneurship? And who ought to? An empirical study of success after failure. In: Dime-Druid Academy winter conference in Aalborg, January 20–22, Aalborg, Denmark
Roessl D (2005) Family businesses and interfirm cooperation. Fam Bus Rev 18:203–214
Schenk T, Löffler G, Rauh J (2007) Agent-based simulation of consumer behaviour in grocery shopping on a regional level. J Bus Res 60:894–903
Slotte-Kock S, Coviello N (2010) Entrepreneurship research on network processes: a review and ways forward. Entrep Theory Pract 34(1):31–57
Stam E, Audretsch D, Meijard J (2008) Renascent entrepreneurship. J Evol Econ 18(3–4):493–507
Street CT, Cameron A-F (2007) External relationships and the small business: a review of small business alliance and network research. J Small Bus Manag 45(2):239–266
Tesfatsion L, Judd K (2006) Agent-based computational economics. II. In: Handbook of computational economics. Elsevier, Amsterdam
Wolf S, Bouchaud J-P, Cecconi F, Cincotti S, Dawid D, Gintis H, Hoog S, Jaeger CC, Kovalevsky DV, Mandel A, Paroussos L (2011) Describing economic agent-based models, Dahlem ABM documentation guidelines. In: Proceedings of the 100th Dahlem conference on new approaches in economics after the financial crisis, August 28–31, 2010
Wooldridge M, Jennings NR (1995) Intelligent agents: theory and practice. Knowl Eng Rev 10:115–152
Acknowledgements
This work has been conducted in the context of MOSIPS project (Modeling and Simulation of the Impact of public Policies on SMEs) of the EU 7th Framework Programme with Grant Agreement 288833.
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Pablo-Martí, F., García-Tabuenca, A., Gallo, M.T., Santos, J.L., del Val, M.T., Mancha, T. (2013). MOSIPS Agent-Based Model for Predicting and Simulating the Impact of Public Policies on SMEs. In: Gilbert, T., Kirkilionis, M., Nicolis, G. (eds) Proceedings of the European Conference on Complex Systems 2012. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-00395-5_50
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DOI: https://doi.org/10.1007/978-3-319-00395-5_50
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