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Regional Innovation Systems: An Agent-Based Laboratory for Policy Advice

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Innovation Networks for Regional Development

Part of the book series: Economic Complexity and Evolution ((ECAE))

Abstract

The chapter presents a computational model for the development of a self-sustaining Regional Innovation System (RIS). The computational agent-based model is the core of a virtual laboratory, called CARIS (Complex Adaptive Regional Innovation System) aiming at (1) introducing the CAS (Complex Adaptive System) approach in the analysis of RISs; (2) enabling the development of effective innovation policies able to foster the growth and innovativeness of regions. This topic is particularly relevant for the so-called lagging regions, which, despite conspicuous policy interventions, have been unable to develop a significant capability to innovate. According to the European Union, lagging regions are those regions which show a GDP per capita less than 75 % of the European average. In this chapter, the methodological approach to verify the internal coherence of the model, as well as the simulation outputs are thoroughly discussed. Results show that the code is free of evident bugs, that it works coherently with the meta-model and that the agent-based computational model is able to reproduce some stylized representations characterizing the system under investigation. Finally, the first steps of the calibration activities and some preliminary results are described. Once fully validated, the CARIS laboratory should help researchers and practitioners to better investigate what critical mass of local resources and competencies are necessary to sustain the growth of RISs and, how effective current innovation policies are and what are the most effective measures to improve the current pattern.

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References

  • Ahuja G (2000) Collaboration networks, structural holes, and innovation: a longitudinal study. Admin Sci Q 45(3):425–455. doi:10.2307/2667105

    Article  Google Scholar 

  • Ahuja G, Lampert MC (2001) Entrepreneurship in the large corporation: a longitudinal study of how established firms create breakthrough inventions. Strat Manag J 22(6–7):521–543. doi:10.1002/smj.176

    Article  Google Scholar 

  • Albino V, Carbonara N, Giannoccaro I (2006) Innovation in industrial districts: an agent-based simulation model. Int J Prod Econ 104(1):30–45. doi:10.1016/j.ijpe.2004.12.023

    Article  Google Scholar 

  • Alvarez SA, Barney JB (2001) How entrepreneurial firms can benefit from alliances with large partners. Acad Manag Exec 15(1):139–148

    Article  Google Scholar 

  • Asheim BT (1996) Industrial districts as ‘learning regions’: a condition for prosperity. Eur Plann Stud 4(4):379–400. doi:10.1080/09654319608720354

    Article  Google Scholar 

  • Asheim BT, Coenen L (2005) Knowledge bases and regional innovation systems: comparing Nordic clusters. Res Pol 34(8):1173–1190. doi:10.1016/j.respol.2005.03.013

    Article  Google Scholar 

  • Asheim BT, Gertler M (2005) The geography of innovation: regional innovation systems. In: Fagerberg J, Mowery D, Nelson R (eds) The Oxford handbook of innovation. Oxford University Press, Oxford, pp 291–317

    Google Scholar 

  • Asheim BT, Isaksen A (2002) Regional innovation systems: the integration of local ‘sticky’ and global ‘ubiquitous’ knowledge. J Technol Tran 27(1):77–86. doi:10.1023/A:1013100704794

    Article  Google Scholar 

  • Asheim BT, Isaksen A, Nauwelaers C, Todtling F (2003) Regional innovation policy for small–medium enterprises. Edward Elgar, Cheltenham

    Book  Google Scholar 

  • Asheim BT, Boschma R, Cooke P (2011) Constructing regional advantage: platform policies based on related variety and differentiated knowledge bases. Reg Stud 45(7):893–904. doi:10.1080/00343404.2010.543126

    Article  Google Scholar 

  • Benner MJ, Tushman M (2002) Process management and technological innovation: a longitudinal study of the photography and paint industries. Admin Sci Q 47:676–706. doi:10.2307/3094913

    Article  Google Scholar 

  • Bottazzi G, Secchi A, Tamagni F (2008) Productivity, profitability and financial performance. Ind Corp Change 17(4):711–751. doi:10.1093/icc/dtn027

    Article  Google Scholar 

  • Brenner T (2001) Simulating the evolution of localised industrial clusters-an identification of the basic mechanisms. J Artif Soc Soc Simulat 4(3):4

    Google Scholar 

  • Brenner T, Werker C (2009) Policy advice derived from simulation models. J Artif Soc Soc Simulat 12(4):2

    Google Scholar 

  • Burton RM (2003) Computational laboratories for organization science: questions, validity and docking. Comput Math Organ Theor 9(2):91–108. doi:10.1023/B:CMOT.0000022750.46976.3c

    Article  Google Scholar 

  • Camagni R (1991) Local milieu, uncertainty and innovation networks: towards a new dynamic theory of economic space. In: Camagni R (ed) Innovation networks: spatial perspectives. Belhaven, London

    Google Scholar 

  • Carley KM (1996) Validating computational models. Paper available at http://www.casos.cs.cmu.edu/publications/papers.php. Accessed 20 May 2015

  • Clark N (1987) Similarities and differences between scientific and technological paradigms. Futures 19:26–42

    Article  Google Scholar 

  • Cohen WM, Levinthal DA (1989) Innovation and learning: the two faces of R&D. Econ J 99(397):569–596

    Article  Google Scholar 

  • Cohen WM, Levinthal DA (1990) Absorptive capacity: a new perspective on learning and innovation. Admin Sci Q 35:128–152. doi:10.2307/2393553

    Article  Google Scholar 

  • Cooke P (1996) The new wave of regional innovation networks: analysis, characteristics and strategy. Small Bus Econ 8(2):159–171. doi:10.1007/BF00394424

    Article  Google Scholar 

  • Cooke P (2001) From technopoles to regional innovation systems: the evolution of localised technology development policy. Can J Reg Sci XXIV(1):21–40

    Google Scholar 

  • Cooke P, Morgan K (1998) The associational economy. Oxford University Press, Oxford

    Book  Google Scholar 

  • Cooke P, Schienstock G (2000) Structural competitiveness and learning regions. Enterprise Innovat Manag Stud 1(3):265–280. doi:10.1080/14632440010023217

    Article  Google Scholar 

  • Cooke P, Uranga MG, Etxebarria G (1998) Regional systems of innovation: an evolutionary perspective. Environ Plann A 30:1563–1584. doi:10.1068/a301563

    Article  Google Scholar 

  • Cowan R, Jonard N (2004) Network structure and the diffusion of knowledge. J Econ Dynam Contr 28(8):1557–1575

    Article  Google Scholar 

  • Cowan R, Jonard N (2009) Knowledge portfolios and the organization of innovation networks. Acad Manag Rev 34(2):320–342. doi:10.5465/amr.2008.0052

    Google Scholar 

  • Crossan MM, Lane HW, White RE (1999) An organizational learning framework: from intuition to institution. Acad Manag Rev 24(3):522–537

    Google Scholar 

  • Doloreux D (2002) What we should know about regional systems of innovation. Technol Soc 24(3):243–263. doi:10.1016/S0160-791X(02)00007-6

    Article  Google Scholar 

  • Doloreux D, Parto S (2004) Regional innovation system: a critical synthesis. UNU-INTECH Discussion Paper Series 2004-17, United Nation University, Maastricht, The Netherlands

    Google Scholar 

  • Doloreux D, Parto S (2005) Regional innovation systems: current discourse and unresolved issues. Technol Soc 27(2):133–153. doi:10.1016/j.techsoc.2005.01.002

    Article  Google Scholar 

  • Dosi G (1988) Sources, procedures, and microeconomic effects of innovation. J Econ Lit 26:1120–1171

    Google Scholar 

  • Edquist C (2004) Reflections on the systems of innovation approach. Sci Publ Pol 31(6):485–489. doi:10.3152/147154304781779741

    Article  Google Scholar 

  • Enright MJ (2000) The globalization of competition and the localization of competitive advantage: policies towards regional clustering. In: Hood N, Young S (eds) The globalization of multinational enterprise activity and economic development. Palgrave Macmillan, London, pp 303–331

    Chapter  Google Scholar 

  • Fischer MM (2001) Innovation, knowledge creation and systems of innovation. Ann Reg Sci 35(2):199–216. doi:10.1007/s001680000034

    Article  Google Scholar 

  • Fondazione Mezzogiorno Tirrenico (2011) http://www.fondazionemt.it/

  • Foray D (2009) The new economics of technology policy. Edward Elgar, Cheltenham

    Book  Google Scholar 

  • Fritsch M, Stephan A (2005) Regionalization of innovation policy—introduction to the special issue. Res Pol 34(8):1123–1127

    Article  Google Scholar 

  • Garnsey E (1998) The genesis of the high technology milieu: a study in complexity. Int J Urban Reg Res 22(3):361–377. doi:10.1111/1468-2427.00146

    Article  Google Scholar 

  • Gertler MS (2003) Tacit knowledge and the economic geography of context, or the undefinable tacitness of being (there). J Econ Geogr 3(1):75–99. doi:10.1093/jeg/3.1.75

    Article  Google Scholar 

  • Gilbert M (2008) Agent-based models, Quantitative applications in the social sciences. SAGE, Los Angeles, CA

    Book  Google Scholar 

  • Grant RM (1991) The resource-based theory of competitive advantage: implications for strategy formulation. In: Zack M (ed) Knowledge and strategy. Butterworth Heinemann, Boston, MA, pp 3–23

    Google Scholar 

  • Gupta AK, Smith KG, Shalley CE (2006) The interplay between exploration and exploitation. Acad Manag J 49(2006):693–706

    Article  Google Scholar 

  • Hagedoorn J, Schakenraad J (1994) The effect of strategic technology alliances on company performance. Strat Manag J 15(4):291–309. doi:10.1002/smj.4250150404

    Article  Google Scholar 

  • Hall A, Clark N (2010) What do complex adaptive systems look like and what are the implications for innovation policy? J Int Dev 22(3):308–324. doi:10.1002/jid.1690

    Article  Google Scholar 

  • Holland JH (1995) Hidden order: how adaptation builds complexity. Helix Books, Addison Wesley, Reading, MA

    Google Scholar 

  • Holland JH (2002) Complex adaptive systems and spontaneous emergence. In: Quadrio Curzio A, Fortis M (eds) Complexity and industrial clusters. Springer, Berlin, pp 25–34

    Chapter  Google Scholar 

  • Hollanders H, Tarantola S, Loschky A (2009) Regional innovation scoreboard (RIS) 2009. PRO INNO EURO, INNO METRICS

    Google Scholar 

  • Hollanders H, Rivera Leon L, Roman L (2012) Regional innovation scoreboard (RIS) 2012. PRO INNO EURO, INNO METRICS

    Google Scholar 

  • Hollanders H, Es-Sadki N, Buligescu B, Rivera Leon L, Griniece E, Roman L (2014) Regional innovation scoreboard (RIS) 2014. PRO INNO EURO, INNO METRICS

    Google Scholar 

  • Kim CS, Inkpen AC (2005) Cross-border R&D alliances, absorptive capacity and technology learning. J Int Manag 11(3):313–329. doi:10.1016/j.intman.2005.06.002

    Article  Google Scholar 

  • Lombardi M (2003) The evolution of local production systems: the emergence of the “invisible mind” and the evolutionary pressures towards more visible “minds”. Res Pol 32:1443–1462. doi:10.1016/S0048-7333(02)00157-9

    Article  Google Scholar 

  • Longhi C (2002) From exogenous to endogenous local development: the cases of the Toulouse and Sophia Antipolis technopoles. In: Quadrio Curzio A, Fortis M (eds) Complexity and industrial clusters. Springer, Berlin, pp 213–237

    Chapter  Google Scholar 

  • Lorenzen M (1998) Specialization and localized learning. Copenhagen Business School Press, Copenhagen

    Google Scholar 

  • Louie MA, Carley KM (2008) Balancing the criticisms: validating multi-agent models of social systems. Simulat Model Pract Theor 16(2):242–256. doi:10.1016/j.simpat.2007.11.011

    Article  Google Scholar 

  • Lucas RE Jr (1993) Making a miracle. Econometrica 61:251–272. doi:10.2307/2951551

    Article  Google Scholar 

  • Maillat D (1998) Innovative milieux and new generations of regional policies. Entrepren Reg Dev 10(1):1–16. doi:10.1080/08985629800000001

    Article  Google Scholar 

  • March JG (1991) Exploration and exploitation in organizational learning. Organ Sci 2(1):71–87. doi:10.1287/orsc.2.1.71

    Article  Google Scholar 

  • Maskell P, Malmberg A (1999) Localised learning and industrial competitiveness. Camb J Econ 23(2):167–185. doi:10.1093/cje/23.2.167

    Article  Google Scholar 

  • Moss S (2008) Alternative approaches to the empirical validation of agent-based models. J Artif Soc Soc Simulat 11(1):5

    Google Scholar 

  • Moulaert F, Sekia F (2003) Territorial innovation models: a critical survey. Reg Stud 37(3):289–302. doi:10.1080/0034340032000065442

    Article  Google Scholar 

  • Mundial B (2009) World development report 2009: reshaping economic geography. World Bank

    Google Scholar 

  • Nonaka I, Takeuchi H (1995) The knowledge creating company: how Japanese companies create the dynamics of innovation. Oxford University Press, New York

    Google Scholar 

  • OECD (2009) Applications of complexity science for public policy: new tools for finding unanticipated consequences and unrealized opportunities. OECD Global Science Forum, Paris

    Google Scholar 

  • OECD (2011) Regions and innovation policy, OECD reviews of regional innovation. OECD, Paris

    Book  Google Scholar 

  • Parsons T (1970) The social system. Routledge & Kegan Paul, London

    Google Scholar 

  • Pavitt K (1993) What do firms learn from basic research. In: Foray D, Freeman C (eds) Technology and the wealth of nations. Pinter, London, pp 29–40

    Google Scholar 

  • Penrose ET (1959) The theory of growth of the firm. Oxford University Press, Oxford

    Google Scholar 

  • Richiardi M, Leombruni R, Saam N, Sonnessa M (2006) A common protocol for agent-based social simulation. J Artif Soc Soc Simulat 9(1):15

    Google Scholar 

  • Robinson DT, Stuart TE (2007) Financial contracting in biotech strategic alliances. J Law Econ 50(3):559–596. doi:10.1086/519811

    Article  Google Scholar 

  • Rothaermel FT, Deeds DL (2006) Alliance type, alliance experience and alliance management capability in high-technology ventures. J Bus Venturing 21(4):429–460. doi:10.1016/j.jbusvent.2005.02.006

    Article  Google Scholar 

  • Sargent RG (2004) Validation and verification of simulation models. In: Proceedings of the 2004 Winter simulation conference 2004, vol 1. IEEE.

    Google Scholar 

  • Schwandt DR, Marquardt MJ (2000) Organizational learning. From world-class theories to global best practices. St. Lucie, Boca Raton, FL

    Google Scholar 

  • Squazzoni F, Boero R (2002) Economic performance, inter-firm relations and local institutional engineering in a computational prototype of industrial districts. J Artif Soc Soc Simulat 5(1)

    Google Scholar 

  • Tesfatsion L (2002) Economic agents and markets as emergent phenomena. Proc Natl Acad Sci USA 99(suppl 3):7191–7192

    Article  Google Scholar 

  • Valdani E (1995) Marketing strategico: un’impresa proattiva per sviluppare capacità, market, driving e valore. ETAS Libri, Milano

    Google Scholar 

  • Valvano S, Vannoni D (2003) Diversification strategies and corporate coherence evidence from Italian leading firms. Rev Ind Organ 23(1):25–41. doi:10.1023/B:REIO.0000005560.15486.9d

    Article  Google Scholar 

  • Walsh JP, Ungson GR (1991) Organizational memory. Acad Manag Rev 16(1):57–91

    Article  Google Scholar 

  • Werker C (2006) An assessment of the regional innovation policy by the European Union based on bibliometrical analysis (no. 0611). Papers on economics and evolution

    Google Scholar 

  • Zahra SA, Ireland RD, Hitt MA (2000) International expansion by new venture firms: international diversity, mode of market entry, technological learning, and performance. Acad Manag J 43(5):925–950. doi:10.2307/1556420

    Article  Google Scholar 

  • Zollo M, Winter SG (2002) Deliberate learning and the evolution of dynamic capabilities. Organ Sci 13(3):339–351

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Industrial Engineering, University of Naples Federico II, 80, Piazzale Tecchio, 80125, Naples, Italy

    Cristina Ponsiglione, Ivana Quinto & Giuseppe Zollo

  2. Online Pegaso University, 48, Piazza Trieste e Trento, 80132, Naples, Italy

    Ivana Quinto

Authors
  1. Cristina Ponsiglione
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  2. Ivana Quinto
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  3. Giuseppe Zollo
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Correspondence to Cristina Ponsiglione .

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Editors and Affiliations

  1. Institute of Economics, University of Hohenheim, Stuttgart, Germany

    Ben Vermeulen

  2. Innovation Systems Department, AIT Austrian Institute of Technology GmbH, Vienna, Austria

    Manfred Paier

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Ponsiglione, C., Quinto, I., Zollo, G. (2017). Regional Innovation Systems: An Agent-Based Laboratory for Policy Advice. In: Vermeulen, B., Paier, M. (eds) Innovation Networks for Regional Development. Economic Complexity and Evolution. Springer, Cham. https://doi.org/10.1007/978-3-319-43940-2_8

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