A Spatial Analysis of R&D: the Role of Industry Proximity
AbstractThis paper employs individual firm data in order to check the existence of industry-spatial effects alongside other microeconomic determinants of R&D investment. Spatial proximity is defined by a measure of firms’ industry distance based on trade intensity between sectors. The spatial model specified here refers to the combined spatial autoregressive model with autoregressive disturbances (SARAR). In modelling the outcome for each location as dependent on a weighted average of the outcomes of other locations, outcomes are determined simultaneously. The results of the spatial two stage least square estimation suggest that in their R&D decision firms benefit from spillovers originating from neighbouring industries.
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 Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia in its series Working Paper CRENoS with number 201204.
Date of creation: 2012
Date of revision:
spatial weights; spatial dependence; spatial models; r&d;
Other versions of this item:
- Oliviero A. Carboni, 2013. "A spatial analysis of R&D: the role of industry proximity," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(8), pages 820-839, November.
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- O10 - Economic Development, Technological Change, and Growth - - Economic Development - - - General
- O31 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-03-08 (All new papers)
- NEP-COM-2012-03-08 (Industrial Competition)
- NEP-CSE-2012-03-08 (Economics of Strategic Management)
- NEP-GEO-2012-03-08 (Economic Geography)
- NEP-INO-2012-03-08 (Innovation)
- NEP-SBM-2012-03-08 (Small Business Management)
- NEP-URE-2012-03-08 (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.:
- Michael Funke & Annekatrin Niebuhr, 2000. "Regional Geographic R&D Spillovers and Economic Growth," Quantitative Macroeconomics Working Papers 20007, Hamburg University, Department of Economics.
- Michael J. Orlando, 2004. "Measuring Spillovers from Industrial R&D: On the Importance of Geographic and Technological Proximity," RAND Journal of Economics, The RAND Corporation, vol. 35(4), pages 777-786, Winter.
- Breschi, Stefano & Malerba, Franco & Orsenigo, Luigi, 2000. "Technological Regimes and Schumpeterian Patterns of Innovation," Economic Journal, Royal Economic Society, vol. 110(463), pages 388-410, April.
- David M. Drukker & Peter Egger & Ingmar R. Prucha, 2013. "On Two-Step Estimation of a Spatial Autoregressive Model with Autoregressive Disturbances and Endogenous Regressors," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 686-733, August.
- Glenn Ellison & Edward L. Glaeser & William R. Kerr, 2007.
"What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns,"
Harvard Business School Working Papers
07-064, Harvard Business School.
- Glenn Ellison & Edward L. Glaeser & William R. Kerr, 2010. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns," American Economic Review, American Economic Association, vol. 100(3), pages 1195-1213, June.
- Glenn Ellison & Edward L. Glaeser & William Kerr, 2007. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns," NBER Working Papers 13068, National Bureau of Economic Research, Inc.
- William Kerr & Edward Glaeser & Glenn Ellison, 2007. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns," Working Papers 07-13, Center for Economic Studies, U.S. Census Bureau.
- James D. Adams & Adam B. Jaffe, 1996.
"Bounding the Effects of R&D: An Investigation Using Matched Establishment-Firm Data,"
RAND Journal of Economics,
The RAND Corporation, vol. 27(4), pages 700-721, Winter.
- James D. Adams & Adam B. Jaffe, 1996. "Bounding the Effects of R&D: An Investigation Using Matched Establishment-Firm Data," NBER Working Papers 5544, National Bureau of Economic Research, Inc.
- Rosenthal, Stuart S. & Strange, William C., 2008. "The attenuation of human capital spillovers," Journal of Urban Economics, Elsevier, vol. 64(2), pages 373-389, September.
- Laura Bottazzi & Giovanni Peri, .
"Innovation and Spillovers in Regions: Evidence from European Patent Data,"
215, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Bottazzi, Laura & Peri, Giovanni, 2003. "Innovation and spillovers in regions: Evidence from European patent data," European Economic Review, Elsevier, vol. 47(4), pages 687-710, August.
- Audretsch, David B, 1998.
"Agglomeration and the Location of Innovative Activity,"
Oxford Review of Economic Policy,
Oxford University Press, vol. 14(2), pages 18-29, Summer.
- Audretsch, David B, 1998. "Agglomeration and the Location of Innovative Activity," CEPR Discussion Papers 1974, C.E.P.R. Discussion Papers.
- Audretsch, David B, 1991. "New-Firm Survival and the Technological Regime," The Review of Economics and Statistics, MIT Press, vol. 73(3), pages 441-50, August.
- Oliviero Carboni, 2011. "R&D subsidies and private R&D expenditures: evidence from Italian manufacturing data," International Review of Applied Economics, Taylor & Francis Journals, vol. 25(4), pages 419-439.
- Dirk Czarnitzki, 2006. "Research And Development In Small And Medium-Sized Enterprises: The Role Of Financial Constraints And Public Funding," Scottish Journal of Political Economy, Scottish Economic Society, vol. 53(3), pages 335-357, 07.
- Richard R. Nelson, 1959. "The Simple Economics of Basic Scientific Research," Journal of Political Economy, University of Chicago Press, vol. 67, pages 297.
- Piga, Claudio & Poyago-Theotoky, Joanna, 2005.
"Endogenous R&D spillovers and locational choice,"
Regional Science and Urban Economics,
Elsevier, vol. 35(2), pages 127-139, March.
- Giovanni Peri, 2005. "Determinants of Knowledge Flows and Their Effect on Innovation," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 308-322, May.
- Martin Andersson & Urban Gråsjö, 2009. "Spatial dependence and the representation of space in empirical models," The Annals of Regional Science, Springer, vol. 43(1), pages 159-180, March.
- Wolfgang Keller, 1996.
"Trade and the Transmission of Technology,"
Development and Comp Systems
- Friso Vor & Henri Groot, 2010. "Agglomeration externalities and localized employment growth: the performance of industrial sites in Amsterdam," The Annals of Regional Science, Springer, vol. 44(3), pages 409-431, June.
- David M. Drukker & Hua Peng & Ingmar Prucha & Rafal Raciborski, 2013. "Creating and managing spatial-weighting matrices with the spmat command," Stata Journal, StataCorp LP, vol. 13(2), pages 242-286, June.
- Irani Arraiz & David M. Drukker & Harry H. Kelejian & Ingmar R. Prucha, 2010. "A Spatial Cliff-Ord-Type Model With Heteroskedastic Innovations: Small And Large Sample Results," Journal of Regional Science, Wiley Blackwell, vol. 50(2), pages 592-614.
- Donald S. Siegel & Catherine J. Morrison Paul, 1999. "Scale Economies and Industry Agglomeration Externalities: A Dynamic Cost Function Approach," American Economic Review, American Economic Association, vol. 89(1), pages 272-290, March.
- Richard Harris & Qian Cher Li, 2009. "Exporting, R&D, and absorptive capacity in UK establishments," Oxford Economic Papers, Oxford University Press, vol. 61(1), pages 74-103, January.
- Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
- David M. Drukker & Ingmar Prucha & Rafal Raciborski, 2013. "A command for estimating spatial-autoregressive models with spatial-autoregressive disturbances and additional endogenous variables," Stata Journal, StataCorp LP, vol. 13(2), pages 287-301, June.
- Franco, Chiara & Montresor, Sandro & Vittucci Marzetti, Giuseppe, 2011. "On indirect trade-related R&D spillovers: The "Average Propagation Length" of foreign R&D," Structural Change and Economic Dynamics, Elsevier, vol. 22(3), pages 227-237, September.
- OA. Carboni, 2009. "An Empirical investigation of the Determinants of R&D Cooperation," Working Paper CRENoS 200909, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
- Claudio A. Piga & Giuseppe Medda, 2007.
"Technological Spillovers and Productivity in Italian Manufacturing Firms,"
Working Paper Series
08-07, The Rimini Centre for Economic Analysis, revised Jul 2007.
- Claudio A. Piga & Giuseppe Medda, 2007. "Technological Spillovers and Productivity in Italian Manufacturing Firms," Discussion Paper Series 2007_17, Department of Economics, Loughborough University, revised Jul 2007.
- Bernstein, Jeffrey I & Nadiri, M Ishaq, 1989.
"Research and Development and Intra-industry Spillovers: An Empirical Application of Dynamic Duality,"
Review of Economic Studies,
Wiley Blackwell, vol. 56(2), pages 249-67, April.
- Jeffrey I. Bernstein & M. Ishaq Nadiri, 1989. "Research and Development and Intraindustry Spillovers: An Empirical Application of Dynamic Duality," NBER Working Papers 2002, National Bureau of Economic Research, Inc.
- Anselin, Luc, 1990. "Some robust approaches to testing and estimation in spatial econometrics," Regional Science and Urban Economics, Elsevier, vol. 20(2), pages 141-163, September.
- OA. Carboni & C. Detotto, 2013. "The economic consequences of crime in Italy," Working Paper CRENoS 201303, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Antonello Pau).
If references are entirely missing, you can add them using this form.