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

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  • Tai-Hsin Huang

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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
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    References listed on IDEAS

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    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. 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, Oxford University Press, vol. 117(1), pages 339-376.
    3. 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.
    4. 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.
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    Citations

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    Cited by:

    1. Benoit A. 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. 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.
    5. Hong- Jen Abraham Lin, 2013. "Trends for future integration of commercial banking between Taiwan and China after the ECFA," Chapters,in: Economic Integration Across the Taiwan Strait, chapter 4, pages 81-101 Edward Elgar Publishing.
    6. 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.

    More about this item

    Keywords

    IT capital; total factor productivity; technical efficiency; C24; D24;

    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

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