IDEAS home Printed from https://ideas.repec.org/p/ulp/sbbeta/2006-34.html
   My bibliography  Save this paper

Using the Asymptotically Ideal Model to estimate the impact of knowledge on labour productivity: An application to Taiwan in the 1990s

Author

Listed:
  • Chia-Lin CHANG
  • Stéphane ROBIN

Abstract

This paper examines the impact of embodied and disembodied knowledge on labour productivity in Taiwan’s manufacturing industry, using the Asymptotically Ideal Model. The model is estimated on a panel of 27,754 firms observed from 1992 to 1995, using three estimations procedures: fixed-effect regression, random-effect GLS, and Hausman-Taylor estimation. Our findings show that, in traditional industries, labour productivity is mostly driven by embodied knowledge, whereas in high-tech industries, labour productivity depends on both embodied and disembodied knowledge. The latter result may be the consequence of the Industrial Upgrading Statute implemented in Taiwan after 1991.

Suggested Citation

  • Chia-Lin CHANG & Stéphane ROBIN, 2006. "Using the Asymptotically Ideal Model to estimate the impact of knowledge on labour productivity: An application to Taiwan in the 1990s," Working Papers of BETA 2006-34, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    • Handle: RePEc:ulp:sbbeta:2006-34
    as

    Download full text from publisher

    File URL: http://beta.u-strasbg.fr/WP/2006/2006-34.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Surendra Gera & Wulong Wu & Frank C. Lee, 1999. "Information technology and productivity growth: an empirical analysis for Canada and the United States," Canadian Journal of Economics, Canadian Economics Association, vol. 32(2), pages 384-407, April.
    2. Philippe Cuneo & Jacques Mairesse, 1984. "Productivity and R&D at the Firm Level in French Manufacturing," NBER Chapters, in: R&D, Patents, and Productivity, pages 375-392, National Bureau of Economic Research, Inc.
    3. Hall, Bronwyn H. & Mairesse, Jacques, 1995. "Exploring the relationship between R&D and productivity in French manufacturing firms," Journal of Econometrics, Elsevier, vol. 65(1), pages 263-293, January.
    4. Zvi Griliches, 1998. "Productivity and R&D at the Firm Level," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 100-133, National Bureau of Economic Research, Inc.
    5. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1.
    6. Fleissig, Adrian & Swofford, James L., 1996. "A dynamic asymptotically ideal model of money demand," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 371-380, April.
    7. Zvi Griliches & Jacques Mairesse, 1981. "Productivity and R and D at the Firm Level," NBER Working Papers 0826, National Bureau of Economic Research, Inc.
    8. Guilkey, David K & Lovell, C A Knox & Sickles, Robin C, 1983. "A Comparison of the Performance of Three Flexible Functional Forms," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 24(3), pages 591-616, October.
    9. Arthur Havenner & Atanu Saha, 1999. "Globally Flexible Asymptotically Ideal Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 703-710.
    10. Wacker, John G. & Yang, Chen-Lung & Sheu, Chwen, 2006. "Productivity of production labor, non-production labor, and capital: An international study," International Journal of Production Economics, Elsevier, vol. 103(2), pages 863-872, October.
    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. Estelle Dhont-Peltrault & Etienne Pfister, 2007. "R&D cooperation versus R&D subcontracting: empirical evidence from French survey data," Working Papers of BETA 2007-17, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    2. Sofia Pessoa e Costa & Stéphane Robin, 2007. "The Impact Of Training Programmes On Wages In France: An Evaluation Of The “Qualifying Contract” Using Propensity Scores," Working Papers of BETA 2007-18, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. Gisèle Umbhauer, 2007. "De l’amiante au chrysotile, un glissement stratégique dans la désinformation," Working Papers of BETA 2007-15, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    4. Azomahou, Théophile & Mishra, Tapas, 2008. "Age dynamics and economic growth: Revisiting the nexus in a nonparametric setting," Economics Letters, Elsevier, vol. 99(1), pages 67-71, April.
    5. Li Qin & Eleftherios Spyromitros & Moïse Sidiropoulos, 2007. "Monetary Policy with Uncertain Central Bank Preferences for Robustness," Working Papers of BETA 2007-23, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

    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. Ugur, Mehmet & Trushin, Eshref & Solomon, Edna & Guidi, Francesco, 2016. "R&D and productivity in OECD firms and industries: A hierarchical meta-regression analysis," Research Policy, Elsevier, vol. 45(10), pages 2069-2086.
    2. Bond, Stephen & Harhoff, Dietmar & Van Reenen, John, 2003. "Corporate R&D and productivity in Germany and the United Kingdom," LSE Research Online Documents on Economics 770, London School of Economics and Political Science, LSE Library.
    3. Valdemar Smith & Mogens Dilling-Hansen & Tor Eriksson & Erik Strøjer Madsen, 2004. "R&D and productivity in Danish firms: some empirical evidence," Applied Economics, Taylor & Francis Journals, vol. 36(16), pages 1797-1806.
    4. Jiann-Chyuan Wang & Kuen-Hung Tsai, 2003. "Productivity Growth and R&D Expenditure in Taiwan's Manufacturing Firms," NBER Working Papers 9724, National Bureau of Economic Research, Inc.
    5. Robert Wieser, 2001. "R&D and Productivity: Evidence for European and U.S. Firms in the 1990s," WIFO Working Papers 159, WIFO.
    6. Dirk Czarnitzki & Hanna Hottenrott & Susanne Thorwarth, 2011. "Industrial research versus development investment: the implications of financial constraints," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 35(3), pages 527-544.
    7. Ornaghi, Carmine, 2006. "Spillovers in product and process innovation: Evidence from manufacturing firms," International Journal of Industrial Organization, Elsevier, vol. 24(2), pages 349-380, March.
    8. Antonelli, Cristiano & Krafft, Jackie & Quatraro, Francesco, 2010. "Recombinant knowledge and growth: The case of ICTs," Structural Change and Economic Dynamics, Elsevier, vol. 21(1), pages 50-69, March.
    9. Wakelin, Katharine, 2001. "Productivity growth and R&D expenditure in UK manufacturing firms," Research Policy, Elsevier, vol. 30(7), pages 1079-1090, August.
    10. de Rassenfosse, Gaetan & van Pottelsberghe de la Potterie, Bruno, 2009. "A policy insight into the R&D-patent relationship," Research Policy, Elsevier, vol. 38(5), pages 779-792, June.
    11. Missaka Warusawitharana, 2015. "Research and development, profits, and firm value: A structural estimation," Quantitative Economics, Econometric Society, vol. 6(2), pages 531-565, July.
    12. Ali-Yrkkö, Jyrki & Maliranta, Mika, 2006. "Impact of R&D on Productivity - Firm-level Evidence from Finland," Discussion Papers 1031, The Research Institute of the Finnish Economy.
    13. Gomez, Emilio Galdeano & Lorente, Jose Cespedes & Rodriguez, Manuel Rodriguez, 2002. "Environmental and Quality Improvement Practices: Their Analysis as Components of the Value Added in Horticultural Firms," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24870, European Association of Agricultural Economists.
    14. Ester Martínez Ros & Vicente Salas Fumás, "undated". "The effect of innovation activity on innovating quasi-rents: an empirical application," Studies on the Spanish Economy 03, FEDEA.
    15. Ejike Udeogu (a) , Uzochukwu Amakom (b) and Shampa Roy-Mukherjee (a), 2021. "Empirical Analysis of an Augmented Schumpeterian Endogenous Growth Model," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 46(1), pages 53-84, March.
    16. Giuseppe Medda & Claudio Piga, 2014. "Technological spillovers and productivity in Italian manufacturing firms," Journal of Productivity Analysis, Springer, vol. 41(3), pages 419-434, June.
    17. Yuko Kinoshita, 2000. "R&D and technology spillovers via FDI: Innovation and absorptive capacity," CERGE-EI Working Papers wp163, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    18. Hans Loof & Almas Heshmati, 2006. "On the relationship between innovation and performance: A sensitivity analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(4-5), pages 317-344.
    19. Maria Elena Bontempi & Jacques Mairesse, 2008. "Intangible Capital and Productivity: An Exploration on a Panel of Italian Manufacturing Firms," NBER Working Papers 14108, National Bureau of Economic Research, Inc.
    20. Czarnitzki, Dirk & Thorwarth, Susanne, 2012. "Productivity effects of basic research in low-tech and high-tech industries," Research Policy, Elsevier, vol. 41(9), pages 1555-1564.

    More about this item

    Keywords

    Asymptotically Ideal Model; Disembodied Knowledge; Embodied Knowledge; Labour Productivity; Newly Industrialized Countries.;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    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:ulp:sbbeta:2006-34. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bestrfr.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.