Browse > Article

Empirical Analysis for Korean Manufacturing Firm's IT Investment Effect to Economic Performance  

Ko Joong-Gul (KT마케팅연구소 마케팅전략연구팀)
Han Hyun-Soo (한양대학교 정보통신대학 정보기술경영)
Publication Information
Abstract
As implied by the terms of IT productivity Paradox, measuring the Information technology contribution to economic performance has been one of the challenging issues to both policy makers and business professionals. As such, diverse attempts with sophisticate analyses have been reported in the literature to analyze the effect of IT contributions. In this paper, we follow Growth Accounting Method to measure the IT contribution effect to manufacturing firm's economic performance in Korea. Various regression methods and statistical analyses are applied with fourteen years of industry Panel data. Using the Cobb-Douglas function, time lag analysis is made to understand IT effect to economic growth. Instead of capturing data from individual firm, industry level data from the National Statistics Bureau is used for IT capital, non-IT capital, and so on. Statistical analysis following the panel unit test and Panel co-integration test was performed to reveal the exact effect of IT contribution to economic performance. Empirical testing results for non-stationary nature of IT investment effect are reported as well as IT contribution to manufacturing industry's economic performance.
Keywords
IT Productivity Paradox; Growth Accounting Method; Manufacturing Industry;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Gordon, R.J., 'Does the New Economy Measure up to the Great Inventions of the Past?' Journal of Economic Perspectives, Vol.14(2000), pp.49-74   DOI   ScienceOn
2 Kao, C., 'Spurious Regression and Residualbased Tests for Cointegration in Panel Data,' Journal of Econometrics, Vol.110(1999), pp. 1127-1170
3 Morrison, C.J. and E.R. Berndt, 'Assessing the Productivity of Information Technology Equipment in the U.S. Manufacturing Industries,' N.B.E.R. Working Paper 3582, 1990
4 Oliner, S.D. and D.E. Sichel, 'The Resurgence of Growth in the Late 1990s: Is Information Technology the Story?' Federal Reserve Board, 2000. 2
5 Bryniolfsson, E., 'The Productivity Paradox of Information Technology,' Communications of the ACM, Vol.36, No.12(1993), pp. 66-76
6 Jorgenson, D.W., 'Information Technology and the U.S. Economy,' American Economic Review, Vol.91(2001), pp.1-32
7 Pedroni, P., 'Panel Cointegration : Asymptotic and Finite Simple Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis, New Results,' Working Paper, Indiana University, 1997
8 Brynjolfsson, E. and L.M. Hitt, 'Paradox Lost? Firm-level Evidence on the Return to Information Systems Spending,' Management Science, (1996), pp.541-558
9 Weill, P., 'The Relationship between Investment in Information Technology and Firm Performance: A Study of the Valve Manufacturing Sector,' Information Systems Research, Vol.3, No.4(1992), pp.307-333   DOI
10 Levin, A. and C.F. Lin, 'Unit Root Test in Panel Data: Asymptotic and Finite Sample Properties,' Discussion Paper #92-93, University of California at San Diego, 1992
11 Im, K.S., M.H. Pesaran and Y. Shin, 'Testing for Unit Roots in Heterogeneous Panels,' Revised Discussion Paper, University of Cambridge, 1997
12 Osei-Bryson, K-M. and M. Ko, 'Exploring the Relationship between Information Technology Investments and Firm Performance using Regression Splines Analysis,' Information & Management, Vol.42, No.1(2004), pp.1-13
13 Jurison, J., 'Reevaluating Productivity Measures,' Iriformation Systems Management, (1997), po.30-34
14 Loveman, G.W., 'An Assessment of the Productivity Impact of Information Technologies,' in T.J. Allen and M.S. Scott Mortons (Eds.), Information Technology and Corporation of the 1990s: Research Studies, Oxford University Press, Oxford, 1994
15 Engle, G. and C.W.J Granger, 'Co-integration and Error Correction: Representation, Estimation and Testing,' Econometrica, Vol.55(1987), pp.251-276   DOI   ScienceOn
16 Yang, S., 'Information Technology and Productivity : A Review of the Literature,' Advances in Computers, MIT Slam School of Management Press, Vol.43(1996)
17 Hitt, L.M. and E. Brynjolfsson, 'Productivity, Business Profitability, and Consumer Surplus: three Different Measures of Information Technology Value,' MIS Quarterly, Vol.20, No.2(1996), pp.121-142   DOI   ScienceOn
18 Phillips, P.C.B and S. Ouliaries, 'Asymptotic Properties of Residual Based Tests for Cointegration,' Econometrica, Vol.58(1990), pp. 165-193   DOI   ScienceOn
19 Rai, A., R. Patnayakuni and N. Patnayakuni, 'Technology Investment and Business Performance,' Communications of the ACM, Vol.40, No.7(1997), pp.89-97   DOI   ScienceOn
20 Jorgenson, D.W. and K.J. Stiroh, 'Raising the Speed Limit : U.S. Economic Growth in the Information Age,' in Brookings Papers on Economic Activity, 2000
21 Kao, C. and M.H. Chiang, 'On the Estimation and Inference of a Co-integrated Regression in Panel Data,' Working Paper, Center for Policy Research, Syracuse University, 1997