IDEAS home Printed from https://ideas.repec.org/a/kap/jproda/v24y2005i3p241-257.html
   My bibliography  Save this article

A Study on the Productivities of IT Capital and Computer Labor: Firm-level Evidence from Taiwan’s Banking Industry

Author

Listed:
  • Tai-Hsin Huang

Abstract

The current paper extends the non-neutral stochastic frontier production function—which belongs to the class of a one-step procedure as defined by Wang and Schmidt (2002) and developed by Huang and Liu (1994)—from a cross-sectional setting to a panel data modeling. Using a newly-surveyed dataset from Taiwan’s commercial banks on their investments in information and communication technologies (IT), I find that IT capital and computer labor tend to exhibit higher productivities than their non-IT and non-computer counterparts, that IT capital has positive impacts on the marginal productivities of computer labor and borrowed funds, and that the mean technical efficiency is around 87.7%. Evidence is found that the total factor productivity of the banking sector grew at an average rate of 0.28% per annum, albeit fluctuating, for the past 8 years. Copyright Springer Science+Business Media, Inc. 2005

Suggested Citation

  • Tai-Hsin Huang, 2005. "A Study on the Productivities of IT Capital and Computer Labor: Firm-level Evidence from Taiwan’s Banking Industry," Journal of Productivity Analysis, Springer, vol. 24(3), pages 241-257, November.
    • Handle: RePEc:kap:jproda:v:24:y:2005:i:3:p:241-257
    DOI: 10.1007/s11123-005-4933-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11123-005-4933-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11123-005-4933-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Nathalie Greenana & Jacques Mairesse, 2000. "Computers And Productivity In France: Some Evidence," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 9(3), pages 275-315.
    2. Ernst R. Berndt & Catherine J. Morrison & Larry S. Rosenblum, 1992. "High-Tech Capital Formation and Labor Composition in U.S. Manufacturing Industries: An Exploratory Analysis," NBER Working Papers 4010, National Bureau of Economic Research, Inc.
    3. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    4. Catherine J. Morrison, 2000. "Assessing The Productivity Of Information Technology Equipment In U.S. Manufacturing Industries," The Review of Economics and Statistics, MIT Press, vol. 79(3), pages 471-481, August.
    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. Benoit Aubert & Blaize Horner Reich, 2009. "Extracting Value From Information Technologies," CIRANO Burgundy Reports 2009rb-04, CIRANO.
    2. Rangkakulnuwat, Poomthan & Wang, H. Holly, 2011. "Productivity growth decomposition with FE-IV approach: Rethinking Thai commercial banks after the financial crisis," Economic Modelling, Elsevier, vol. 28(6), pages 2579-2588.
    3. Cliff Huang & Tai-Hsin Huang & Nan-Hung Liu, 2014. "A new approach to estimating the metafrontier production function based on a stochastic frontier framework," Journal of Productivity Analysis, Springer, vol. 42(3), pages 241-254, December.
    4. Francesco D. Sandulli & Paul M.A. Baker & José I. López-Sánchez, 2014. "Jobs mismatch and productivity impact of information technology," The Service Industries Journal, Taylor & Francis Journals, vol. 34(13), pages 1060-1074, September.
    5. Ting-Kun Liu, 2011. "Local Monopoly, Network Effects And Technical Efficiency €“ Evidence From Taiwan’S Natural Gas Industry," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 5(1), pages 55-63.
    6. Stefan Schweikl & Robert Obermaier, 2020. "Lessons from three decades of IT productivity research: towards a better understanding of IT-induced productivity effects," Management Review Quarterly, Springer, vol. 70(4), pages 461-507, November.
    7. Mohanty, Sunil K. & Lin, Winston T. & Lin, Hong-Jen, 2013. "Measuring cost efficiency in presence of heteroskedasticity: The case of the banking industry in Taiwan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 77-90.
    8. Hong- Jen Abraham Lin, 2013. "Trends for future integration of commercial banking between Taiwan and China after the ECFA," Chapters, in: Peter C.Y. Chow (ed.), Economic Integration Across the Taiwan Strait, chapter 4, pages 81-101, Edward Elgar Publishing.
    9. Liu, Ting-Kun & Chen, Jong-Rong & Huang, Cliff J. & Yang, Chih-Hai, 2014. "Revisiting the productivity paradox: A semiparametric smooth coefficient approach based on evidence from Taiwan," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 300-308.

    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. Gianfranco E. Atzeni & OA Carboni, 2004. "ICT productivity and firm propensity to innovative investment: learning effect evidence from italian micro data," Working Paper CRENoS 200414, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    2. Erik Brynjolfsson & Lorin M. Hitt, 2003. "Computing Productivity: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 793-808, November.
    3. Timothy Dunne & John Haltiwanger & Lucia Foster, 2000. "Wage and Productivity Dispersion in U.S. Manufacturing: The Role of Computer Investment," NBER Working Papers 7465, National Bureau of Economic Research, Inc.
    4. Indjikian, Rouben & Siegel, Donald S., 2005. "The Impact of Investment in IT on Economic Performance: Implications for Developing Countries," World Development, Elsevier, vol. 33(5), pages 681-700, May.
    5. Bronwyn H. Hall & Francesca Lotti & Jacques Mairesse, 2013. "Evidence on the impact of R&D and ICT investments on innovation and productivity in Italian firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(3), pages 300-328, April.
    6. Luca Casolaro & Giorgio Gobbi, 2004. "Information technology and productivity changes in the Italian banking industry," Temi di discussione (Economic working papers) 489, Bank of Italy, Economic Research and International Relations Area.
    7. Young Lee & Jeong Hun Oh & Hwan-Joo Seo, 2002. "Digital Divide and Growth Gap: A Cumulative Relationship," WIDER Working Paper Series DP2002-88, World Institute for Development Economic Research (UNU-WIDER).
    8. Nico Voigtlaender, 2009. "Many Sectors Meet More Skills: Intersectoral Linkages and the Skill Bias of Technology," 2009 Meeting Papers 1136, Society for Economic Dynamics.
    9. MARTIN Ludivine, 2007. "The impact of technological changes on incentives and motivations to work hard," IRISS Working Paper Series 2007-15, IRISS at CEPS/INSTEAD.
    10. Ajoy Ketan Sarangi & Rudra Prakash Pradhan, 2020. "ICT infrastructure and economic growth: a critical assessment and some policy implications," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 47(4), pages 363-383, December.
    11. Eric J. Bartelsman & Martin Falk & Eva Hagsten & Michael Polder, 2019. "Productivity, technological innovations and broadband connectivity: firm-level evidence for ten European countries," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 25-48, March.
    12. Shakina, Elena & Parshakov, Petr & Alsufiev, Artem, 2021. "Rethinking the corporate digital divide: The complementarity of technologies and the demand for digital skills," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    13. Gianfranco E. Atzeni & OA Carboni, 2006. "Regional Disparity in ICT Adoption: an Empirical Evaluation of The Effects of Subsidies in Italy," Working Paper CRENoS 200608, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    14. Kräkel, Matthias & Schöttner, Anja, 2010. "Technology Choice and Incentives under Relative Performance Schemes," Bonn Econ Discussion Papers 10/2010, University of Bonn, Bonn Graduate School of Economics (BGSE).
    15. K.J Joseph & Vinoj Abraham, 2007. "Information technology and productivity: Evidence from India's manufacturing sector," Centre for Development Studies, Trivendrum Working Papers 389, Centre for Development Studies, Trivendrum, India.
    16. Cindy Zoghi & Sabrina Wulff Pabilonia, 2007. "Which workers gain upon adopting a computer?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 40(2), pages 423-444, May.
    17. Irene Bertschek & Ulrich Kaiser, 2004. "Productivity Effects of Organizational Change: Microeconometric Evidence," Management Science, INFORMS, vol. 50(3), pages 394-404, March.
    18. Savvidou, Eleni, 2003. "The Relationship Between Skilled Labor and Technical Change," Working Paper Series 2003:27, Uppsala University, Department of Economics.
    19. Maarten Goos & Melanie Arntz & Ulrich Zierahn & Terry Gregory & Stephanie Carretero Gomez & Ignacio Gonzalez Vazquez & Koen Jonkers, 2019. "The Impact of Technological Innovation on the Future of Work," JRC Working Papers on Labour, Education and Technology 2019-03, Joint Research Centre.
    20. Jacques Mairesse & Nathalie Greenan & Agnes Topiol-Bensaid, 2001. "Information Technology and Research and Development Impacts on Productivity and Skills: Looking for Correlations on French Firm Level Data," NBER Working Papers 8075, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    IT capital; total factor productivity; technical efficiency; C24; D24;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

    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:kap:jproda:v:24:y:2005:i:3:p:241-257. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.