IDEAS home Printed from
   My bibliography  Save this article

Technology transfer through vertical linkages: The case of the Spanish manufacturing industry



Whether or not foreign direct investment helps to upgrade the technological capacities of firms in host countries is an important question for policy makers. Even more important is the question of what are the most effective channels of technology transfer. The econometric analysis presented here is based on a firm level database from Spain for the period 1990-2000. We associate spillovers with the effect of horizontal and vertical FDI on total factor productivity of local firms. We find that technology spillovers are limited to the case of vertical linkages. However these spillovers are affected by the technology gap between domestic firms and foreign affiliates as well as by the characteristics of foreign affiliates. Linkages with exportoriented affiliates and fully owned ones seem to have a better influence on the productivity of domestic firms.

Suggested Citation

  • Liza Jabbour & Jean Louis Mucchielli, 2007. "Technology transfer through vertical linkages: The case of the Spanish manufacturing industry," Journal of Applied Economics, Universidad del CEMA, vol. 10, pages 115-136, May.
  • Handle: RePEc:cem:jaecon:v:10:y:2007:n:1:p:115-136

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers. Individual articles may be purchased through PayPal.

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

    References listed on IDEAS

    1. Hendry, David F. & Pagan, Adrian R. & Sargan, J.Denis, 1984. "Dynamic specification," Handbook of Econometrics,in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 18, pages 1023-1100 Elsevier.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    3. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
    4. Fouquet, Roger, 1995. "The impact of VAT introduction on UK residential energy demand : An investigation using the cointegration approach," Energy Economics, Elsevier, vol. 17(3), pages 237-247, July.
    5. Christopher F Baum, 2004. "CLEMAO_IO: Stata module to perform unit root tests with one or two structural breaks," Statistical Software Components S444302, Boston College Department of Economics, revised 31 Jul 2015.
    6. Paulo Rodrigues & Philip Hans Franses, 2005. "A sequential approach to testing seasonal unit roots in high frequency data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(6), pages 555-569.
    7. Clemente, Jesus & Montanes, Antonio & Reyes, Marcelo, 1998. "Testing for a unit root in variables with a double change in the mean," Economics Letters, Elsevier, vol. 59(2), pages 175-182, May.
    8. Sargan, John Denis & Bhargava, Alok, 1983. "Testing Residuals from Least Squares Regression for Being Generated by the Gaussian Random Walk," Econometrica, Econometric Society, vol. 51(1), pages 153-174, January.
    9. Elliott, Graham, 1999. "Efficient Tests for a Unit Root When the Initial Observation Is Drawn from Its Unconditional Distribution," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(3), pages 767-783, August.
    10. Eltony, M. N. & Al-Mutairi, N. H., 1995. "Demand for gasoline in Kuwait : An empirical analysis using cointegration techniques," Energy Economics, Elsevier, vol. 17(3), pages 249-253, July.
    11. R. Bruce Billings, 1982. "Specification of Block Rate Price Variables in Demand Models," Land Economics, University of Wisconsin Press, vol. 58(3), pages 386-394.
    12. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    13. Bentzen, Jan, 1994. "An empirical analysis of gasoline demand in Denmark using cointegration techniques," Energy Economics, Elsevier, vol. 16(2), pages 139-143, April.
    14. Beenstock, Michael & Goldin, Ephraim & Nabot, Dan, 1999. "The demand for electricity in Israel," Energy Economics, Elsevier, vol. 21(2), pages 168-183, April.
    15. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    16. Franses, Philip Hans, 1991. "Seasonality, non-stationarity and the forecasting of monthly time series," International Journal of Forecasting, Elsevier, vol. 7(2), pages 199-208, August.
    17. Céline Nauges & Alban Thomas, 2003. "Long-run Study of Residential Water Consumption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 26(1), pages 25-43, September.
    18. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    19. Lars Gårn Hansen, 1996. "Water and Energy Price Impacts on Residential Water Demand in Copenhagen," Land Economics, University of Wisconsin Press, vol. 72(1), pages 66-79.
    20. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    21. Céline Nauges & Alban Thomas, 2000. "Dynamique de la consommation d'eau potable des ménages : une étude sur un panel de communes françaises," Économie et Prévision, Programme National Persée, vol. 143(2), pages 175-184.
    22. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
    23. Maria García-valiñas, 2005. "Efficiency and Equity in Natural Resources Pricing: A Proposal for Urban Water Distribution Service," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 32(2), pages 183-204, October.
    24. Céline Nauges & Alban Thomas, 2000. "Privately Operated Water Utilities, Municipal Price Negotiation, and Estimation of Residential Water Demand: The Case of France," Land Economics, University of Wisconsin Press, vol. 76(1), pages 68-85.
    25. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    26. Christopher F. Baum, 2001. "Tests for stationarity of a time series," Stata Technical Bulletin, StataCorp LP, vol. 10(57).
    27. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
    28. Joseph Beaulieu, J. & Miron, Jeffrey A., 1993. "Seasonal unit roots in aggregate U.S. data," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 305-328.
    29. Banerjee, Anindya & Lumsdaine, Robin L & Stock, James H, 1992. "Recursive and Sequential Tests of the Unit-Root and Trend-Break Hypotheses: Theory and International Evidence," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 271-287, July.
    30. Arbues, Fernando & Garcia-Valinas, Maria Angeles & Martinez-Espineira, Roberto, 2003. "Estimation of residential water demand: a state-of-the-art review," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 32(1), pages 81-102, March.
    31. Roberto Martinez-Espineira & Celine Nauges, 2004. "Is all domestic water consumption sensitive to price control?," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1697-1703.
    32. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    33. Renwick, Mary E. & Green, Richard D., 2000. "Do Residential Water Demand Side Management Policies Measure Up? An Analysis of Eight California Water Agencies," Journal of Environmental Economics and Management, Elsevier, vol. 40(1), pages 37-55, July.
    34. Engle, Robert F. & Yoo, Byung Sam, 1987. "Forecasting and testing in co-integrated systems," Journal of Econometrics, Elsevier, vol. 35(1), pages 143-159, May.
    35. David L. Chicoine & Ganapathi Ramamurthy, 1986. "Evidence on the Specification of Price in the Study of Domestic Water Demand," Land Economics, University of Wisconsin Press, vol. 62(1), pages 26-32.
    36. Breusch, Trevor S & Wickens, Michael R., 1987. "Dynamic Specification, the Long Run and the Estimation of Transformed Regression Models," CEPR Discussion Papers 154, C.E.P.R. Discussion Papers.
    37. Paulo Rodrigues & Denise Osborn, 1999. "Performance of seasonal unit root tests for monthly data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(8), pages 985-1004.
    38. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    39. Mary E. Renwick & Sandra O. Archibald, 1998. "Demand Side Management Policies for Residential Water Use: Who Bears the Conservation Burden?," Land Economics, University of Wisconsin Press, vol. 74(3), pages 343-359.
    40. Ellen M. Pint, 1999. "Household Responses to Increased Water Rates during the California Drought," Land Economics, University of Wisconsin Press, vol. 75(2), pages 246-266.
    41. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    42. Perron, Pierre & Vogelsang, Timothy J, 1992. "Nonstationarity and Level Shifts with an Application to Purchasing Power Parity," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 301-320, July.
    43. Graeme Dandy & Tin Nguyen & Carolyn Davies, 1997. "Estimating Residential Water Demand in the Presence of Free Allowances," Land Economics, University of Wisconsin Press, vol. 73(1), pages 125-139.
    44. Jasper M. Dalhuisen & Raymond J.G.M. Florax & Henri L.F.M. de Groot & Peter Nijkamp, 2001. "Price and Income Elasticities of Residential Water Demand: Why Empirical Estimates differ," Tinbergen Institute Discussion Papers 01-057/3, Tinbergen Institute.
    45. Engle, R. F. & Granger, C. W. J. & Hallman, J. J., 1989. "Merging short-and long-run forecasts : An application of seasonal cointegration to monthly electricity sales forecasting," Journal of Econometrics, Elsevier, vol. 40(1), pages 45-62, January.
    46. R. G. Taylor & John R. McKean & Robert A. Young, 2004. "Alternate Price Specifications for Estimating Residential Water Demand with Fixed Fees," Land Economics, University of Wisconsin Press, vol. 80(3), pages 463-475.
    47. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
    48. Ramanathan, R., 1999. "Short- and long-run elasticities of gasoline demand in India: An empirical analysis using cointegration techniques," Energy Economics, Elsevier, vol. 21(4), pages 321-330, August.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Tomáš Havránek & Zuzana Iršová, 2011. "How to Stir Up FDI Spillovers: Evidence from a Large Meta-Analysis," Working Papers IES 2011/34, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2011.
    2. C. Imbriani & R. Pittiglio & F. Reganati & E. Sica, 2014. "How Much do Technological Gap, Firm Size, and Regional Characteristics Matter for the Absorptive Capacity of Italian Enterprises?," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 20(1), pages 57-72, February.
    3. Alper Sönmez & M. Teoman Pamukçu, 2011. "Foreign Direct Investment and Technology Spillovers in the Turkish Manufacturing Industry," STPS Working Papers 1103, STPS - Science and Technology Policy Studies Center, Middle East Technical University, revised Mar 2011.
    4. Patricia Augier & Olivier Cadot & Marion Dovis, 2013. "Imports and TFP at the firm level: the role of absorptive capacity," Canadian Journal of Economics, Canadian Economics Association, vol. 46(3), pages 956-981, August.
    5. Michele Imbruno & Rosanna Pittiglio & Filippo Reganati, 2015. "FDI, Intermediate Inputs and Firm Performance: Theory and Evidence from Italy," Discussion Papers 2015-15, University of Nottingham, GEP.
    6. repec:kap:iaecre:v:20:y:2014:i:1:p:57-72 is not listed on IDEAS
    7. Chrysovalantou Milliou, 2014. "Location for Foreign Direct Investment in Vertically Related Markets," Review of International Economics, Wiley Blackwell, vol. 22(2), pages 326-341, May.
    8. Tomas Havranek & Zuzana Irsova, 2012. "Survey Article: Publication Bias in the Literature on Foreign Direct Investment Spillovers," Journal of Development Studies, Taylor & Francis Journals, vol. 48(10), pages 1375-1396, October.
    9. Pérez-Villar, Lucia & Seric, Adnan, 2015. "Knowledge transfer in global supply chains: Multinationals in Sub-Saharan Africa," Kiel Working Papers 1994, Kiel Institute for the World Economy (IfW).
    10. FERRAGINA, Anna Maria, 2013. "The Impact of FDI on Firm Survival and Employment: A Comparative Analysis for Turkey and Italy," CELPE Discussion Papers 127, CELPE - Centre of Labour Economics and Economic Policy, University of Salerno, Italy.
    11. Yanling Wang, 2010. "Exposure to FDI and New Plant Survival: Evidence in Canada," Carleton Economic Papers 10-05, Carleton University, Department of Economics.
    12. Huu Thanh Tam Nguyen & Nguyen Khac, 2013. "Demand creation and competition effect of Export-platform FDI on backward linkages - Evidence from panel data analysis of Vietnamese supporting industries," Documents de recherche 13-02, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    13. Rosanna Pittiglio & Filippo Reganati & Edgardo Sica, 2015. "Do Multinational Enterprises Push up the Wages of Domestic Firms in the Italian Manufacturing Sector?," Manchester School, University of Manchester, vol. 83(3), pages 346-378, June.
    14. Anna Ferragina & Fernanda Mazzotta, 2014. "FDI spillovers on firm survival in Italy: absorptive capacity matters!," The Journal of Technology Transfer, Springer, vol. 39(6), pages 859-897, December.
    15. repec:voj:journl:v:63:y:2016:i:3:p:313-323 is not listed on IDEAS

    More about this item


    technology spillovers; vertical linkages; foreign direct investment;

    JEL classification:

    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business


    Access and download statistics


    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:cem:jaecon:v:10:y:2007:n:1:p:115-136. 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: (Valeria Dowding). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.