Identifying Clusters within R&D Intensive Industries Using Local Spatial Methods
In recent times, there has been a renewed interest in cluster policies for supporting industrial and regional development. Prominent economics like Porter and Krugman emphasise the role of clusters in regional competition and show in which way clusters can positively affect competition by increasing productivity and innovation. Because of the linkage between growth and innovation, R&D intensive industries play a crucial role in cluster development strategies. Empirical cluster research has to contribute to the understanding the process of cluster formation. In particular for developing profound clusters strategies and assessing the limits cluster policy, knowledge of existing structures and tendencies is necessary. In these strategies, high-tech and research-intensive industries play a crucial role. Audretsch and Feldman argue that industries with high innovation activity tend to cluster for exploiting benefits from tacit knowledge flows. Krugman stresses that information flows and knowledge spillovers may be sensitive to geographic impediments. Since obstacles tend to rise with increasing distance, spatial clusters may be localised. If, however, geographic barriers are less relevant, the reach of tacit knowledge flows may be much larger. For regional policy the geographical level at which clusters occur is of prominent interest. Traditional concentration indices like the Gini coefficient, Theilsâ€™s inequalitiy index or the Ellison-Glaeser index are â€˜aspatialâ€™ by construction. This means that these indices disregard relevant spatial information on the distribution of a geo-referenced variable. In particular, attribute values of adjacent regions are completely ignored. Moreover, the spatial scale of clustering formation is not taken into account. First experiences with methods of exploratory spatial data analysis (ESDA) like local Moranâ€™s I and Getis-Ord Gi statistics in pattern recognition are available. Le Gallo and Ertur (2003) utilise local indicators of spatial association to analyse the distribution of regional GDP per capita in Europe. Feser et al. (2005), Lafourcade and Mion (2007) and Kies et al. (2009) demonstrate the potential of these ESDA techniques in identifying economic clusters and spatial heterogeneity in geographical space. However, while usually local Moranâ€™s I and Getis-Ord Gi statistics are applied in detecting economic clusters, up to now spatial scan techniques are largely ignored (Kang, 2010). In this paper, advantages and pitfalls of spatial scan tests in identifying R&D clusters are examined. Some essentials in implementing spatial scan techniques in economic clusters research are worked out.
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- Miren Lafourcade & Giordano Mion, 2007.
"Concentration, agglomeration and the size of plants,"
LSE Research Online Documents on Economics
42666, London School of Economics and Political Science, LSE Library.
- Lafourcade, Miren & Mion, Giordano, 2007. "Concentration, agglomeration and the size of plants," Regional Science and Urban Economics, Elsevier, vol. 37(1), pages 46-68, January.
- LAFOURCADE, Miren & MION, Giordano, . "Concentration, agglomeration and the size of plants," CORE Discussion Papers RP 1963, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Miren Lafourcade & Giordano Mion, 2007. "Concentration, Agglomeration and the Size of Plants," Post-Print halshs-00754253, HAL.
- Miren Lafourcade & Giordano Mion, 2005. "Concentration, agglomeration and the size of plants," PSE Working Papers halshs-00590572, HAL.
- Rebecca Henderson & Adam B. Jaffe & Manuel Trajtenberg, 1998.
"Universities As A Source Of Commercial Technology: A Detailed Analysis Of University Patenting, 1965-1988,"
The Review of Economics and Statistics,
MIT Press, vol. 80(1), pages 119-127, February.
- Henderson, R. & Jaffe, A.B.: Tratenberg, M., 1995. "Universities as a Source of Commercial Technology: A Detailed Analysis of University Patenting 1965-1988," Papers 09-95, Tel Aviv.
- Rebecca Henderson & Adam Jaffe & Manuel Trajtenberg, 1995. "Universities as a Source of Commercial Technology: A Detailed Analysis of University Patenting 1965-1988," NBER Working Papers 5068, National Bureau of Economic Research, Inc.
- Luisito BERTINELLI & Rosella NICOLINI, 2002. "Investment decision and the spatial dimension : Evidence from firm level data," Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) 2002007, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
- Edward Feser & Stuart Sweeney & Henry Renski, 2005. "A Descriptive Analysis of Discrete U.S. Industrial Complexes," Journal of Regional Science, Wiley Blackwell, vol. 45(2), pages 395-419.
- Edward L. Glaeser & Hedi D. Kallal & Jose A. Scheinkman & Andrei Shleifer, 1991.
"Growth in Cities,"
NBER Working Papers
3787, National Bureau of Economic Research, Inc.
- LE GALLO, Julie & ERTUR, Cem, 2000. "Exploratory spatial data analysis of the distribution of regional per capita GDP in Europe, 1980-1995," LATEC - Document de travail - Economie (1991-2003) 2000-09, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
- Feldman, Maryann P. & Audretsch, David B., 1999.
"Innovation in cities:: Science-based diversity, specialization and localized competition,"
European Economic Review,
Elsevier, vol. 43(2), pages 409-429, February.
- Audretsch, David B & Feldman, Maryann P, 1998. "Innovation in Cities: Science-Based Diversity, Specialization and Localized Competition," CEPR Discussion Papers 1980, C.E.P.R. Discussion Papers.
- Bertinelli, Luisito & Nicolini, Rosella, 2005. "R&D Investments and the Spatial Dimension: Evidence from Firm Level Data," The Review of Regional Studies, Southern Regional Science Association, vol. 35(2), pages 206-30.
- Frank Neffke & Martin Svensson Henning & Ron Boschma & Karl-Johan Lundquist & Lars-Olof Olander, 2008. "Who Needs Agglomeration? Varying Agglomeration Externalities and the Industry Life Cycle," Papers in Evolutionary Economic Geography (PEEG) 0808, Utrecht University, Section of Economic Geography, revised Apr 2008.
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