IDEAS home Printed from https://ideas.repec.org/a/eee/respol/v38y2009i1p106-119.html
   My bibliography  Save this article

The effect of financial constraints, absorptive capacity and complementarities on the adoption of multiple process technologies

Author

Listed:
  • Gomez, Jaime
  • Vargas, Pilar

Abstract

This paper investigates the factors affecting the multiple adoption of new process technologies in manufacturing. We focus our attention on the effect of both financial resources and absorptive capacity on the decision to introduce the technology. We argue in favour of a negative effect of financial constraints and provide reasons for a differential effect of internal and external R&D on innovation adoption. Additionally, the methodology allows us to consider the possible complementarities arising when firms adopt several new process technologies. Our results show that financial constraints are dependent on the technology analyzed, whereas only internal R&D investments are strong predictors of adoption. We are also able to present evidence that the three technologies analyzed (numerically controlled machines, computer aided design and robotics) are, to some extent, complementary.

Suggested Citation

  • Gomez, Jaime & Vargas, Pilar, 2009. "The effect of financial constraints, absorptive capacity and complementarities on the adoption of multiple process technologies," Research Policy, Elsevier, vol. 38(1), pages 106-119, February.
  • Handle: RePEc:eee:respol:v:38:y:2009:i:1:p:106-119
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0048-7333(08)00232-1
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Romeo, Anthony A, 1977. "The Rate of Imitation of a Capital-Embodied Process Innovation," Economica, London School of Economics and Political Science, vol. 44(173), pages 63-69, February.
    2. Alessandra Canepa & Paul Stoneman, 2005. "Financing Constraints in the Inter Firm Diffusion of New Process Technologies," The Journal of Technology Transfer, Springer, vol. 30(2_2), pages 159-169, January.
    3. Jennifer F. Reinganum, 1981. "Market Structure and the Diffusion of New Technology," Bell Journal of Economics, The RAND Corporation, vol. 12(2), pages 618-624, Autumn.
    4. Stoneman, Paul & Kwon, Myung-Joong, 1994. "The Diffusion of Multiple Process Technologies," Economic Journal, Royal Economic Society, vol. 104(423), pages 420-431, March.
    5. Lal, K., 1999. "Determinants of the adoption of Information Technology: a case study of electrical and electronic goods manufacturing firms in India," Research Policy, Elsevier, vol. 28(7), pages 667-680, September.
    6. Stoneman, Paul & Kwon, Myung Joong, 1996. "Technology Adoption and Firm Profitability," Economic Journal, Royal Economic Society, vol. 106(437), pages 952-962, July.
    7. Dorothy Leonard-Barton & Isabelle Deschamps, 1988. "Managerial Influence in the Implementation of New Technology," Management Science, INFORMS, vol. 34(10), pages 1252-1265, October.
    8. David J. TEECE, 2008. "Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy," World Scientific Book Chapters,in: The Transfer And Licensing Of Know-How And Intellectual Property Understanding the Multinational Enterprise in the Modern World, chapter 5, pages 67-87 World Scientific Publishing Co. Pte. Ltd..
    9. Pilar Beneito, 2001. "R&D productivity and spillovers at the firms level: evidence from Spanish panel data," Investigaciones Economicas, Fundación SEPI, vol. 25(2), pages 289-313, May.
    10. Veugelers, Reinhilde & Cassiman, Bruno, 1999. "Make and buy in innovation strategies: evidence from Belgian manufacturing firms," Research Policy, Elsevier, vol. 28(1), pages 63-80, January.
    11. James Riedel, 1975. "The nature and determinants of export-oriented direct foreign investment in a developing country: A case study of Taiwan," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 111(3), pages 505-528, September.
    12. Thomas Astebro, 2004. "Sunk Costs and the Depth and Probability of Technology Adoption," Journal of Industrial Economics, Wiley Blackwell, vol. 52(3), pages 381-399, September.
    13. Thomas Åstebro, 2002. "Noncapital Investment Costs and the Adoption of CAD and CNC in U.S. Metalworking Industries," RAND Journal of Economics, The RAND Corporation, vol. 33(4), pages 672-688, Winter.
    14. Hannan, Timothy H & McDowell, John M, 1984. "Market Concentration and the Diffusion of New Technology in the Banking Industry," The Review of Economics and Statistics, MIT Press, vol. 66(4), pages 686-691, November.
    15. Sunil Sharma, 1992. "Behind the Diffusion Curve: An Analysis of ATM Adoption," UCLA Economics Working Papers 686, UCLA Department of Economics.
    16. Colombo, Massimo G & Mosconi, Rocco, 1995. "Complementarity and Cumulative Learning Effects in the Early Diffusion of Multiple Technologies," Journal of Industrial Economics, Wiley Blackwell, vol. 43(1), pages 13-48, March.
    17. Cohen, Wesley M. & Levin, Richard C., 1989. "Empirical studies of innovation and market structure," Handbook of Industrial Organization,in: R. Schmalensee & R. Willig (ed.), Handbook of Industrial Organization, edition 1, volume 2, chapter 18, pages 1059-1107 Elsevier.
    18. Baldwin, John & Lin, Zhengxi, 2002. "Impediments to advanced technology adoption for Canadian manufacturers," Research Policy, Elsevier, vol. 31(1), pages 1-18, January.
    19. Lal, K., 2002. "E-business and manufacturing sector: a study of small and medium-sized enterprises in India," Research Policy, Elsevier, vol. 31(7), pages 1199-1211, September.
    20. Eleonora Bartoloni & Maurizio Baussola, 2001. "The Determinants of Technology Adoption in Italian Manufacturing Industries," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 19(3), pages 305-328, November.
    21. Buzzacchi, Luigi & Colombo, Massimo G. & Mariotti, Sergio, 1995. "Technological regimes and innovation in services: the case of the Italian banking industry," Research Policy, Elsevier, vol. 24(1), pages 151-168, January.
    22. Stoneman, P, 1981. "Intra-Firm Diffusion, Bayesian Learning and Profitability," Economic Journal, Royal Economic Society, vol. 91(362), pages 375-388, June.
    23. Fuentelsaz, Lucio & Gomez, Jaime & Polo, Yolanda, 2003. "Intrafirm diffusion of new technologies: an empirical application," Research Policy, Elsevier, vol. 32(4), pages 533-551, April.
    24. Beneito, Pilar, 2003. "Choosing among alternative technological strategies: an empirical analysis of formal sources of innovation," Research Policy, Elsevier, vol. 32(4), pages 693-713, April.
    25. Milgrom, Paul & Roberts, John, 1990. "The Economics of Modern Manufacturing: Technology, Strategy, and Organization," American Economic Review, American Economic Association, vol. 80(3), pages 511-528, June.
    26. Baptista, Rui, 2000. "Do innovations diffuse faster within geographical clusters?," International Journal of Industrial Organization, Elsevier, vol. 18(3), pages 515-535, April.
    27. Jensen, Richard, 1988. "Information capacity and innovation adoption," International Journal of Industrial Organization, Elsevier, vol. 6(3), pages 335-350.
    28. Swamidass, Paul M., 2003. "Modeling the adoption rates of manufacturing technology innovations by small US manufacturers: a longitudinal investigation," Research Policy, Elsevier, vol. 32(3), pages 351-366, March.
    29. Levin, Sharon G & Levin, Stanford L & Meisel, John B, 1987. "A Dynamic Analysis of the Adoption of a New Technology: The Case of Optical Scanners," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 12-17, February.
    30. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," Stata Journal, StataCorp LP, vol. 3(3), pages 278-294, September.
    31. Romeo, Anthony A, 1975. "Interindustry and Interfirm Differences in the Rate of Diffusion of an Innovation," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 311-319, August.
    32. Stoneman, Paul & Diederen, Paul, 1994. "Technology Diffusion and Public Policy," Economic Journal, Royal Economic Society, vol. 104(425), pages 918-930, July.
    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. Paulo Nunes & Zélia Serrasqueiro & João Leitão, 2013. "Assessing the nonlinear nature of the effects of R&D intensity on growth of SMEs: a dynamic panel data approach," Journal of Evolutionary Economics, Springer, vol. 23(1), pages 97-128, January.
    2. Gómez, Jaime & Vargas, Pilar, 2012. "Intangible resources and technology adoption in manufacturing firms," Research Policy, Elsevier, vol. 41(9), pages 1607-1619.
    3. Gilli, Marianna & Mancinelli, Susanna & Mazzanti, Massimiliano, 2014. "Innovation complementarity and environmental productivity effects: Reality or delusion? Evidence from the EU," Ecological Economics, Elsevier, vol. 103(C), pages 56-67.
    4. Paulo Nunes & Marco Gonçalves & Zélia Serrasqueiro, 2013. "The influence of age on SMEs’ growth determinants: empirical evidence," Small Business Economics, Springer, vol. 40(2), pages 249-272, February.
    5. Antonioli, Davide & Mancinelli, Susanna & Mazzanti, Massimiliano, 2013. "Is environmental innovation embedded within high-performance organisational changes? The role of human resource management and complementarity in green business strategies," Research Policy, Elsevier, vol. 42(4), pages 975-988.
    6. Hugo Pinto, 2011. "Knowledge Transfer in the Mirror: Reflections on the Determinants of Research Groups and Companies Collaborative Patterns within Andalusia's Regional Innovation System," ERSA conference papers ersa11p212, European Regional Science Association.
    7. Lin, Chinho & Chang, Chia-Chi, 2015. "The effect of technological diversification on organizational performance: An empirical study of S&P 500 manufacturing firms," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 575-586.
    8. Effelsberg, Martin, 2011. "Wissenstransfer in Innovationskooperationen: Ergebnisse einer Literaturstudie zur "Absorptive Capacity"," Arbeitspapiere 107, University of Münster, Institute for Cooperatives.
    9. Bertha Jimenez & Bojan Angelov & Bharat Rao, 2012. "Service Absorptive Capacity: Its Evolution and Implications for Innovation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(2), pages 142-163, June.
    10. Fuentelsaz, Lucio & Gómez, Jaime & Palomas, Sergio, 2016. "Interdependences in the intrafirm diffusion of technological innovations: Confronting the rational and social accounts of diffusion," Research Policy, Elsevier, vol. 45(5), pages 951-963.
    11. Gil, Nuno & Miozzo, Marcela & Massini, Silvia, 2012. "The innovation potential of new infrastructure development: An empirical study of Heathrow airport's T5 project," Research Policy, Elsevier, vol. 41(2), pages 452-466.

    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:eee:respol:v:38:y:2009:i:1:p:106-119. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/respol .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.