Spatial econometrics of innovation: Recent contributions and research perspectives
AbstractPreliminary introduced by Anselin, Varga and Acs (1997) spatial econometric tools are widely used in economic geography of innovation. Taking into account spatial autocorrelation and spatial heterogeneity of regional innovation, this paper analyzes how these techniques have improved the ability to quantify knowledge spillovers, to measure their spatial extent, and to explore the underlying mechanisms and especially the interactions between geographical and social distance. It is also argued that the recent developments of spatio-dynamic models opens new research lines to investigate the temporal dimension of both spatial knowledge flows and innovation networks, two issues that should rank high in the research agenda of the geography of innovation.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by HAL in its series Working Papers with number halshs-00605056.
Date of creation: 30 Jun 2011
Date of revision:
Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00605056/en/
Contact details of provider:
Web page: http://hal.archives-ouvertes.fr/
Geography of innovation; spatial correlation; spatio-dynamic panels; innovation;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-07-13 (All new papers)
- NEP-CSE-2011-07-13 (Economics of Strategic Management)
- NEP-GEO-2011-07-13 (Economic Geography)
- NEP-INO-2011-07-13 (Innovation)
- NEP-SBM-2011-07-13 (Small Business Management)
- NEP-URE-2011-07-13 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.
- Glaeser, Edward L & Hedi D. Kallal & Jose A. Scheinkman & Andrei Shleifer, 1992.
"Growth in Cities,"
Journal of Political Economy,
University of Chicago Press, vol. 100(6), pages 1126-52, December.
- Glaeser, Edward Ludwig & Kallal, Hedi D. & Scheinkman, Jose A. & Shleifer, Andrei, 1992. "Growth in Cities," Scholarly Articles 3451309, Harvard University Department of Economics.
- 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.
- Gomes-Casseresa, Benjamin & Hagedoorn, John & Jaffe, Adam B., 2006.
"Do alliances promote knowledge flows?,"
Open Access publications from Maastricht University
urn:nbn:nl:ui:27-12183, Maastricht University.
- Gomes-Casseres, Benjamin & Hagedoorn, John & Jaffe, Adam B., 2006. "Do alliances promote knowledge flows?," Journal of Financial Economics, Elsevier, vol. 80(1), pages 5-33, April.
- Benjamin Gomes-Casseres & John Hagedoorn & Adam B. Jaffe, 2002. "Do Alliances Promote Knowledge Flows?," NBER Chapters, in: Corporate Alliances National Bureau of Economic Research, Inc.
- Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
- Mario Maggioni & Teodora Uberti, 2009. "Knowledge networks across Europe: which distance matters?," The Annals of Regional Science, Springer, vol. 43(3), pages 691-720, September.
- Martin, Philippe & Mayer, Thierry & Mayneris, Florian, 2011.
"Spatial concentration and plant-level productivity in France,"
Journal of Urban Economics,
Elsevier, vol. 69(2), pages 182-195, March.
- MARTIN, Philippe & MAYER, Thierry & MAYNERIS, Florian, . "Spatial concentration and plant-level productivity in France," CORE Discussion Papers RP -2273, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Florian Mayneris & Philippe Martin & Thierry Mayer, 2011. "Spatial concentration and plant-level productivity in france," Sciences Po publications info:hdl:2441/c8dmi8nm4pd, Sciences Po.
- Stefano Breschi & Francesco Lissoni, 2006. "Mobility of inventors and the geography of knowledge spillovers. New evidence on US data," KITeS Working Papers 184, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Oct 2006.
- Parent, Olivier & LeSage, James P., 2012. "Spatial dynamic panel data models with random effects," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 727-738.
- Hoekman, Jarno & Frenken, Koen & Tijssen, Robert J.W., 2010. "Research collaboration at a distance: Changing spatial patterns of scientific collaboration within Europe," Research Policy, Elsevier, vol. 39(5), pages 662-673, June.
- Corinne Autant-Bernard & Pascal Billand & David Frachisse & Nadine Massard, 2007. "Social distance versus spatial distance in R&D cooperation: Empirical evidence from European collaboration choices in micro and nanotechnologies," Papers in Regional Science, Wiley Blackwell, vol. 86(3), pages 495-519, 08.
- Manfred M. Fischer & Daniel A. Griffith, 2008. "Modeling Spatial Autocorrelation In Spatial Interaction Data: An Application To Patent Citation Data In The European Union," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 969-989.
- Olivier Parent & James P. Lesage, 2007.
"Using the Variance Structure of the Conditional Autoregressive Spatial Specification to Model Knowledge Spillovers,"
University of Cincinnati, Economics Working Papers Series
2007-03, University of Cincinnati, Department of Economics.
- Olivier Parent & James P. LeSage, 2008. "Using the variance structure of the conditional autoregressive spatial specification to model knowledge spillovers," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 235-256.
- Anselin, Luc & Varga, Attila & Acs, Zoltan, 1997. "Local Geographic Spillovers between University Research and High Technology Innovations," Journal of Urban Economics, Elsevier, vol. 42(3), pages 422-448, November.
- Baltagi, Badi H. & Heun Song, Seuck & Cheol Jung, Byoung & Koh, Won, 2007. "Testing for serial correlation, spatial autocorrelation and random effects using panel data," Journal of Econometrics, Elsevier, vol. 140(1), pages 5-51, September.
- Manfred M. Fischer & Thomas Scherngell & Eva Jansenberger, 2005. "The Geography of Knowledge Spillovers between High-Technology Firms in Europe - Evidence from a Spatial Interaction Modelling Perspective," ERSA conference papers ersa05p5, European Regional Science Association.
- Nicolas Debarsy & Cem Ertur & James P. Lesage, 2010. "Interpreting Dynamic Space-Time Panel Data Models," Working Papers hal-00525740, HAL.
- Sorenson, Olav & Rivkin, Jan W. & Fleming, Lee, 2006. "Complexity, networks and knowledge flow," Research Policy, Elsevier, vol. 35(7), pages 994-1017, September.
- Thomas Scherngell & Michael J. Barber, 2009. "Spatial interaction modelling of cross-region R&D collaborations: empirical evidence from the 5th EU framework programme," Papers in Regional Science, Wiley Blackwell, vol. 88(3), pages 531-546, 08.
- Kapoor, Mudit & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Panel data models with spatially correlated error components," Journal of Econometrics, Elsevier, vol. 140(1), pages 97-130, September.
- Vertova, Giovanna, 2002. "A historical investigation of the geography of innovative activities," Structural Change and Economic Dynamics, Elsevier, vol. 13(3), pages 259-283, September.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD).
If references are entirely missing, you can add them using this form.