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The Spatial Dimension of Innovation and Growth: Empirical Research Methodology and Policy Analysis

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  • Attila Varga

Abstract

Integrating space into economics by the “new economic geography” is a very recent development. However, the macro-economic role of spatial structure is not an issue with relevance for theoretical or empirical research only. Understanding it has potentially high importance for economic policy making as well. The debate in the European Union (EU) on the geographical distribution of Community Support Framework (CSF) assistance (i.e. efficiency or cohesion) is an excellent case in this respect. This paper serves three purposes. First, it provides a framework for empirical research of geographical growth. Second, based on this framework, it identifies problem areas of empirical research and suggests a set of methodologies to treat them. Third, it emphasizes that the framework can also drive development policy analysis. At the end an example is provided as to how decisions on regional allocation of EU CSF funds can be judged in relation to their likely macro-economic outcomes.

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  • Attila Varga, 2006. "The Spatial Dimension of Innovation and Growth: Empirical Research Methodology and Policy Analysis," European Planning Studies, Taylor & Francis Journals, vol. 14(9), pages 1171-1186, July.
    • Handle: RePEc:taf:eurpls:v:14:y:2006:i:9:p:1171-1186
    DOI: 10.1080/09654310600933298
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    1. Richard Baldwin & Rikard Forslid & Philippe Martin & Gianmarco Ottaviano & Frederic Robert-Nicoud, 2005. "Economic Geography and Public Policy," Economics Books, Princeton University Press, edition 1, number 7524.
    2. Wagner, Alfred, 1891. "Marshall's Principles of Economics," History of Economic Thought Articles, McMaster University Archive for the History of Economic Thought, vol. 5, pages 319-338.
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    Cited by:

    1. Imre Lengyel, 2011. "Types of competitiveness of Hungarian regions: agglomeration economies and endogenous regional development," ERSA conference papers ersa11p674, European Regional Science Association.
    2. Attila Varga, 2014. "Challenges in modeling the impacts of modern development policies: The case of the GMR-approach," EcoMod2014 7151, EcoMod.
    3. Varga, Attila, 2020. "A tudástermelési függvénytől a fejlesztéspolitikai hatáselemzésig [From the knowledge production function to development policy-impact modelling]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 537-556.
    4. Cai, Yuzhuo, 2023. "Towards a new model of EU-China innovation cooperation: Bridging missing links between international university collaboration and international industry collaboration," Technovation, Elsevier, vol. 119(C).
    5. Marco Capasso & Elena Cefis & Koen Frenken, 2009. "Do Some Firms Persistently Outperform ?," LEM Papers Series 2009/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Paul J. Maliszewski & Breandán Ó hUallacháin, 2012. "Hierarchy and concentration in the American urban system of technological advance," Papers in Regional Science, Wiley Blackwell, vol. 91(4), pages 743-758, November.
    7. Tamás Sebestyén & Attila Varga, 2013. "Research productivity and the quality of interregional knowledge networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(1), pages 155-189, August.
    8. Attila Varga, 2007. "From the Geography of Innovation to Development Policy Analysis: The GMR-approach," Annals of Economics and Statistics, GENES, issue 87-88, pages 83-101.
    9. Roberta Capello & Camilla Lenzi, 2016. "Innovation modes and entrepreneurial behavioral characteristics in regional growth," Small Business Economics, Springer, vol. 47(4), pages 875-893, December.
    10. Elisa Barbieri & Lauretta Rubini & Chiara Pollio & Alessandra Micozzi, 2018. "What are the trade-offs of academic entrepreneurship? An investigation on the Italian case," The Journal of Technology Transfer, Springer, vol. 43(1), pages 198-221, February.
    11. Attila Varga & Péter Járosi & Tamás Sebestyén, 2011. "Modeling the growth effects of regional knowledge production: The GMR-Europe model and its applications for EU Framework Program policy impact simulations," ERSA conference papers ersa11p1426, European Regional Science Association.
    12. Teemu Makkonen & Robert P. Have, 2013. "Benchmarking regional innovative performance: composite measures and direct innovation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 247-262, January.
    13. Juan Eduardo Chica & Carlos Marmolejo, 2016. "Knowledge economy and metropolitan growth: Barcelona and Helsinki metropolitan areas as case studies," International Journal of Knowledge-Based Development, Inderscience Enterprises Ltd, vol. 7(1), pages 22-42.
    14. Attila Varga & Mete Basar Baypinar, 2016. "Economic impact assessment of alternative European Neighborhood Policy (ENP) options with the application of the GMR-Turkey model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 153-176, January.
    15. Zoltan Acs & Mark Sanders, 2011. "A Theory of Entrepreneurial Rents in Endogenous Growth: Implications for Regional Innovation Policies," Chapters, in: Robert Stimson & Roger R. Stough & Peter Nijkamp (ed.), Endogenous Regional Development, chapter 8, Edward Elgar Publishing.
    16. Roberta Capello & Camilla Lenzi, 2014. "Spatial Heterogeneity In Knowledge, Innovation, And Economic Growth Nexus: Conceptual Reflections And Empirical Evidence," Journal of Regional Science, Wiley Blackwell, vol. 54(2), pages 186-214, March.

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