IDEAS home Printed from https://ideas.repec.org/p/ags/pugtwp/331189.html
   My bibliography  Save this paper

Foreign Direct Investment, Technology Transfer and Productivity Growth. Empirical Evidence for Hungary, Poland, Romania, Bulgaria and the Czech Republic

Author

Listed:
  • Torlak, Elvisa

Abstract

Many governments offer significant inducements to attract inward investment, motivated by the expectation of spillover benefits. Foreign direct investment (FDI) is generally perceived as the best channel for technology transfer, not only across national boundaries but also between firms – in particular, between foreign and domestic companies. This paper tests this hypothesis for five transition countries in Eastern Europe using panel data on more than 8000 plants in the Czech Republic, Poland, Hungary, Romania and Bulgaria. In a log-linear model, the Cobb-Douglas production function is estimated to examine the productivity effect of: (a) foreign ownership in firms, and (b) foreign presence in industries and regions. In the first case, regression coefficients indicate a positive correlation between foreign equity participation and plant productivity. In the second case, the impact of foreign investment on productivity of domestically owned firms turns out to be either negative or insignificant. Thus, the study corroborates the hypothesis that technology is transferred internationally through multinational companies, but provides no evidence of diffusion of technology from foreign to domestic firms.

Suggested Citation

  • Torlak, Elvisa, 2004. "Foreign Direct Investment, Technology Transfer and Productivity Growth. Empirical Evidence for Hungary, Poland, Romania, Bulgaria and the Czech Republic," Conference papers 331189, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  • Handle: RePEc:ags:pugtwp:331189
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/331189/files/1496.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Weale, Martin, 1985. "Testing Linear Hypotheses on National Account Data," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 685-689, November.
    2. Golan, Amos & Judge, George & Robinson, Sherman, 1994. "Recovering Information from Incomplete or Partial Multisectoral Economic Data," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 541-549, August.
    3. G. Günlük‐Şenesen & J. M. Bates, 1988. "Some Experiments with Methods of Adjusting Unbalanced Data Matrices," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 151(3), pages 473-490, May.
    4. Michael H. Schneider & Stavros A. Zenios, 1990. "A Comparative Study of Algorithms for Matrix Balancing," Operations Research, INFORMS, vol. 38(3), pages 439-455, June.
    5. H. Theil & Guido Rey, 1966. "A Quadratic Programming Approach to the Estimation of Transition Probabilities," Management Science, INFORMS, vol. 12(9), pages 714-721, May.
    6. Richard Stone & D. G. Champernowne & J. E. Meade, 1942. "The Precision of National Income Estimates," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 9(2), pages 111-125.
    7. van der Ploeg, Frederick, 1985. "Econometrics and inconsistencies in the national accounts," Economic Modelling, Elsevier, vol. 2(1), pages 8-16, January.
    Full references (including those not matched with items on IDEAS)

    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. Eric J. Bartelsman & J. Joseph Beaulieu, 2007. "A Consistent Accounting of US Productivity Growth," NBER Chapters, in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 449-482, National Bureau of Economic Research, Inc.
    2. Francois, Joseph & Spinanger, Dean, 2001. "With Rags to Riches but Then What? Hong Kong's T & C Industry vs. the ATC and China's WTO Accession," Conference papers 330928, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Wang, Zhi & Gehlhar, Mark & Yao, Shunli, 2010. "A globally consistent framework for reliability-based trade statistics reconciliation in the presence of an entrepôt," China Economic Review, Elsevier, vol. 21(1), pages 161-189, March.
    4. Canning, Patrick & Wang, Zhi, 2003. "A Flexible Modeling Framework to Estimate Interregional Trade Patterns and Input-Output Accounts," Conference papers 331136, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    5. J. Joseph Beaulieu & Eric J. Bartelsman, 2006. "Integrating Expenditure and Income Data: What to Do with the Statistical Discrepancy?," NBER Chapters, in: A New Architecture for the US National Accounts, pages 309-354, National Bureau of Economic Research, Inc.
    6. Heiwai Tang & Fei Wang & Zhi Wang, 2016. "Extending the Input-Output Table Based on Firm-level Data," CESifo Working Paper Series 5811, CESifo.
    7. Tang, Heiwai & Wang, Fei & Wang, Zhi, 2020. "Domestic segment of global value chains in China under state capitalism✰," Journal of Comparative Economics, Elsevier, vol. 48(4), pages 797-821.
    8. Jing Yi & Samantha Cohen & Sarah Rehkamp & Patrick Canning & Miguel I. Gómez & Houtian Ge, 2023. "Overcoming data barriers in spatial agri‐food systems analysis: A flexible imputation framework," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(3), pages 686-701, September.
    9. Hyndman, Rob J. & Ahmed, Roman A. & Athanasopoulos, George & Shang, Han Lin, 2011. "Optimal combination forecasts for hierarchical time series," Computational Statistics & Data Analysis, Elsevier, vol. 55(9), pages 2579-2589, September.
    10. Amos Golan & Stephen Vogel, 2000. "Estimation of Non-Stationary Social Accounting Matrix Coefficients with Supply-Side Information," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 447-471.
    11. Sherman Robinson & Andrea Cattaneo & Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 47-64.
    12. V. Kumar & Alok R. Saboo & Amit Agarwal & Binay Kumar, 2020. "Generating Competitive Intelligence with Limited Information: A Case of the Multimedia Industry," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 192-213, January.
    13. James Mitchell & Gary Koop & Stuart McIntyre & Aubrey Poon, 2020. "Reconciled Estimates of Monthly GDP in the US," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-16, Economic Statistics Centre of Excellence (ESCoE).
    14. Peters, Jeffrey C. & Hertel, Thomas W., 2016. "The database–modeling nexus in integrated assessment modeling of electric power generation," Energy Economics, Elsevier, vol. 56(C), pages 107-116.
    15. Pennings, Clint L.P. & van Dalen, Jan, 2017. "Integrated hierarchical forecasting," European Journal of Operational Research, Elsevier, vol. 263(2), pages 412-418.
    16. Umed Temursho & Manuel Alejandro Cardenete & Krzysztof Wojtowicz & Luis Rey & Matthias Weitzel & Toon Vandyck & Bert Saveyn, 2020. "Projecting input-output tables for model baselines," JRC Research Reports JRC120513, Joint Research Centre.
    17. Dennis J. Fixler & Jeremy J. Nalewaik, 2007. "News, noise, and estimates of the \"true\" unobserved state of the economy," Finance and Economics Discussion Series 2007-34, Board of Governors of the Federal Reserve System (U.S.).
    18. M. Alejandro Cardenete & M. Carmen Delgado & Patricia D. Fuentes & M. Carmen Lima & Alfredo J. Mainar & Jose M. Rueda-Cantuche & Sébastien Mary & Fabien Santini & Sergio Gomez y Paloma, 2015. "Rural-urban social accounting matrixes for modelling the impact of rural development policies in the EU," JRC Research Reports JRC94394, Joint Research Centre.
    19. M Thissen & H Löfgren, 1998. "A New Approach to SAM Updating with an Application to Egypt," Environment and Planning A, , vol. 30(11), pages 1991-2003, November.
    20. Zhaonan Qu & Alfred Galichon & Johan Ugander, 2023. "On Sinkhorn's Algorithm and Choice Modeling," Papers 2310.00260, arXiv.org.

    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:ags:pugtwp:331189. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/gtpurus.html .

    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.