IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa04p270.html
   My bibliography  Save this paper

The effects of scientific regional opportunities in science-technology flows: Evidence from scientific literature in firms' patent data

Author

Listed:
  • Manuel Acosta
  • Daniel Coronado

Abstract

Relevant scientific literature has demonstrated that in spaces of smaller scale than the national, the availability of scientific knowledge is also relevant for generating spillover effects that benefit the industrial sector. The proliferation of such literature consistently stressing the importance of physical proximity for the two-way flow of knowledge and for the development and fostering of innovation, together with the high degree of self-government of the Spanish regions (which have the competence to develop their own R&D policies), all suggest that the relationships between the scientific community and the industrial sector may be closer and more productive in the regions where the scientific potential is more relevant, in comparison with other regions. The basic objective of this article is to test for the possible differential effects of a favourable scientific environment on science-technology relationships, and more specifically, to determine if the considerable regional resources directed towards scientific research in local universities are being translated into economic results for industry, by way of better utilisation of scientific knowledge to enable companies to generate more and better innovations in processes and products. The methodology that we employ relates the scientific citations in patent documents - as a basic indicator of these science-technology flows- with various indicators of resources and results of academic research that reflect the scientific research environment. With caution, and recognising the limitations inherent in the NPC (non patent citation) methodology, different econometric specifications permit the conclusion to be drawn that companies of those regions with a more favourable scientific environment make greater use of scientific knowledge. JEL Classification: O31, O38, C21, R59.

Suggested Citation

  • Manuel Acosta & Daniel Coronado, 2004. "The effects of scientific regional opportunities in science-technology flows: Evidence from scientific literature in firms' patent data," ERSA conference papers ersa04p270, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa04p270
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa04/PDF/270.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hall, Bronwyn H. & Jaffee, Adam & Trajtenberg, Manuel, 2000. "Market Value and Patent Citations: A First Look," Department of Economics, Working Paper Series qt1rh8k6z2, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    2. Jaffe, Adam B, 1989. "Real Effects of Academic Research," American Economic Review, American Economic Association, vol. 79(5), pages 957-970, December.
    3. Verspagen, Bert & Schoenmakers, Wilfred, 2000. "The Spatial Dimension of Knowledge Spillovers in Europe: Evidence from Firm Patenting Data," Research Memorandum 016, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    4. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
    5. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45, National Bureau of Economic Research, Inc.
    6. White, Halbert, 1983. "Corrigendum [Maximum Likelihood Estimation of Misspecified Models]," Econometrica, Econometric Society, vol. 51(2), pages 513-513, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rui Baptista & Joana Mendonça, 2010. "Proximity to knowledge sources and the location of knowledge-based start-ups," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(1), pages 5-29, August.
    2. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2011. "A field-standardized application of DEA to national-scale research assessment of universities," Journal of Informetrics, Elsevier, vol. 5(4), pages 618-628.
    3. repec:elg:eechap:14395_24 is not listed on IDEAS
    4. Arias-Aranda, Daniel & Romerosa-Martínez, M. Mercedes, 2010. "Innovation in the functional foods industry in a peripheral region of the European Union: Andalusia (Spain)," Food Policy, Elsevier, vol. 35(3), pages 240-246, June.
    5. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2012. "The dispersion of research performance within and between universities as a potential indicator of the competitive intensity in higher education systems," Journal of Informetrics, Elsevier, vol. 6(2), pages 155-168.
    6. Sam Hak Kan Tang, 2018. "Does Scientific And Technical Research Reduce Macroeconomic Volatility?," Bulletin of Economic Research, Wiley Blackwell, vol. 70(1), pages 68-88, January.
    7. Tsvetkova, Alexandra & Thill, Jean-Claude & Conroy, Tessa, 2016. "Firm patenting activity, metropolitan innovative environment and their effects on business survival in a high-tech industry," MPRA Paper 75783, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Corinne Autant-Bernard & Pascal Billand & Nadine Massard, 2012. "Innovation and Space – From Externalities to Networks," Chapters, in: Charlie Karlsson & Börje Johansson & Roger R. Stough (ed.), The Regional Economics of Knowledge and Talent, chapter 3, Edward Elgar Publishing.
    2. B.G. Jean Jacques Iritié, 2018. "Economic issues of innovation clusters-based industrial policy: a critical overview," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 20(3), pages 286-307.
    3. Harvey Goldstein & Joshua Drucker, 2006. "The Economic Development Impacts of Universities on Regions: Do Size and Distance Matter?," Economic Development Quarterly, , vol. 20(1), pages 22-43, February.
    4. Joshua Drucker & Harvey Goldstein, 2007. "Assessing the Regional Economic Development Impacts of Universities: A Review of Current Approaches," International Regional Science Review, , vol. 30(1), pages 20-46, January.
    5. Das, Debojyoti & Bhatia, Vaneet & Kumar, Surya Bhushan & Basu, Sankarshan, 2022. "Do precious metals hedge crude oil volatility jumps?," International Review of Financial Analysis, Elsevier, vol. 83(C).
    6. P.A.V.B. Swamy & I-Lok Chang & Jatinder S. Mehta & William H. Greene & Stephen G. Hall & George S. Tavlas, 2016. "Removing Specification Errors from the Usual Formulation of Binary Choice Models," Econometrics, MDPI, vol. 4(2), pages 1-21, June.
    7. Carlo Altavilla & Raffaella Giacomini & Giuseppe Ragusa, 2017. "Anchoring the yield curve using survey expectations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(6), pages 1055-1068, September.
    8. Fernando Rios-Avila & Gustavo J. Canavire-Bacarreza, 2017. "Standard Error Correction in Two-Stage Optimization Models: A Quasi-Maximum Likelihood Estimation Approach," Documentos de Trabajo de Valor Público 15659, Universidad EAFIT.
    9. Sandy Fréret & Denis Maguain, 2017. "The effects of agglomeration on tax competition: evidence from a two-regime spatial panel model on French data," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(6), pages 1100-1140, December.
    10. Ai, Chunrong & Chen, Xiaohong, 2007. "Estimation of possibly misspecified semiparametric conditional moment restriction models with different conditioning variables," Journal of Econometrics, Elsevier, vol. 141(1), pages 5-43, November.
    11. Ayouz, Mourad K. & Remaud, Herve, 2003. "The Internationalization Determinants Of The Small Agro-Food Firms: Hypotheses And Statistical Tests," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 5(2), pages 1-27.
    12. Broze, Laurence & Gourieroux, Christian, 1998. "Pseudo-maximum likelihood method, adjusted pseudo-maximum likelihood method and covariance estimators," Journal of Econometrics, Elsevier, vol. 85(1), pages 75-98, July.
    13. Sridhar, Shrihari & Naik, Prasad A. & Kelkar, Ajay, 2017. "Metrics unreliability and marketing overspending," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 761-779.
    14. Yen, Steven T. & Chern, Wen S. & Lee, Hwang-Jaw, 1991. "Effects Of Income Sources On Household Food Expenditures," 1991 Annual Meeting, August 4-7, Manhattan, Kansas 271167, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Ruoxuan Xiong & Allison Koenecke & Michael Powell & Zhu Shen & Joshua T. Vogelstein & Susan Athey, 2021. "Federated Causal Inference in Heterogeneous Observational Data," Papers 2107.11732, arXiv.org, revised Apr 2023.
    16. Posch, Olaf, 2009. "Structural estimation of jump-diffusion processes in macroeconomics," Journal of Econometrics, Elsevier, vol. 153(2), pages 196-210, December.
    17. Koutmos, Dimitrios, 2012. "An intertemporal capital asset pricing model with heterogeneous expectations," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(5), pages 1176-1187.
    18. Gregory, Allan W. & McCurdy, Thomas H., 1986. "The unbiasedness hypothesis in the forward foreign exchange market: A specification analysis with application to France, Italy, Japan, the United Kingdom and West Germany," European Economic Review, Elsevier, vol. 30(2), pages 365-381, April.
    19. Lanot, Gauthier & Walker, Ian, 1998. "The union/non-union wage differential: An application of semi-parametric methods," Journal of Econometrics, Elsevier, vol. 84(2), pages 327-349, June.
    20. Florent Silve & Alexander Plekhanov, 2018. "Institutions, innovation and growth : Evidence from industry data," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(3), pages 335-362, July.

    More about this item

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R59 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa04p270. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.