Beyond productivity - Productivity and the three types of efficiencies of information technology industries

Information and Software Technology

Volumn 45, Issue 8, 2003, Pages 513-524

  Shu, Wesley S ^a   Lee, Sophie ^b  

^a SAN DIEGO STATE UNIVERSITY   (United States)

^b CALIFORNIA STATE UNIVERSITY   (United States)

Author keywords

Information technology industry; Information technology productivity; Productive efficiency

Indexed keywords

ECONOMICS; INFORMATION SCIENCE; PRODUCTION;

PRODUCTIVE EFFICIENCY;

INFORMATION TECHNOLOGY;

EID: 0038823585     PISSN: 09505849     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0950-5849(03)00030-2     Document Type: Article

References (35)

1. Aigner D.C., Knox Lovell C.A., Schmidt P. Formulation and estimation of stochastic frontier production function models. Journal of Econometrics. 6:1977;21-37.
2. Bakos J.Y. Are computers boosting productivity? Computerworld. March:1995.
3. Batteseand G.E., Coelli T.J. Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data. Journal of Econometrics. 38:1988;387-399.
4. Battese G.E., Coelli T.J. Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India. Journal of Productivity Analysis. 1992;153-169.
5. Battese G.E., Coelli T.J. A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics. 20:1995;325-332.
6. P.W. Bauer, An analysis of multi-product firm technology and efficiency using panel data, Unpublished working paper, Department of Economics, University of North Carolina, 1984.
7. Berndt E.R., Morrison C.J. High-tech capital formation and economic performance in US manufacturing industries: an exploratory analysis. Journal of Econometrics. 65:1995;9-43.
8. Berndt E.R., Morrison C.J., Rosenblum L.S. High-tech capital formation and labor composition in US manufacturing industries: an exploratory analysis. National Bureau of Economic Research Working Papers Series #4010. March:1992.
9. Brynjolfsson E. The productivity paradox of information technology. Communications of the ACM. 36:(23):1993;67-77.
10. Brynjolfsson E., Hitt L. Information technology as a factor of production: the role of differences among firms. Economics of Innovation and New Technology. 3:(4):1995;183-200.
11. Brynjolfsson E., Hitt L. Paradox lost? firm-level evidence on the returns to information systems spending. Management Science. 42:(4):1996;541-558.
12. Dewan S., Kraemer K. International dimensions of the productivity paradox. Communications of the ACM. August:1998.
13. Dewan S., Min C. The substitution of information technology for other factors of production: a firm level analysis. Management Science. December:1997.
14. Dewan S., Kraemer K. Information technology and productivity: evidence from country-level data. Management Science. 46:(4):2000.
15. Farrell M.J. Measurement of productivity efficiency. Journal of the Royal Statistical Society, Series A, General. 120:(3):1957;253-281.
16. Førsund F.R., Lovell A.K., Schmidt P. A survey of frontier production functions and of their relationship to efficiency measurements. Journal of Econometrics. 1980;13.
17. Hitt L., Brynjolfsson E. The three faces of IT: theory and evidence. Proceedings of the Fifteenth International Conference on Information Systems. 1994;263-278.
18. Hitt L.M., Brynjolfsson E. Productivity, business profitability, and consumer surplus: three different measures of information technology value. MIS Quarterly. 20:(2):1996;121-142.
19. Jorgenson D.W., Stiroh K.J. Raising the speed limit: US economic growth in the information age. Brookings Papers on Economic Activity. (1):2000;125-211.
20. Kopp R.J. The measurement of productive efficiency: a reconsideration. Quarterly Journal of Economics. August:1981;477-503.
21. Kumbhakar S.C. The specification of technical and allocative inefficiency in stochastic production and profit frontiers. Journal of Econometrics. 34:1987;335-348.
22. Kumbhakar S.C. Estimation of technical efficiency using flexible functional form and panel data. Journal of Business and Economic Statistics. 7:(2):1989;253-258.
23. Kumbhakar S.C., Biswas B., Von Bailey D. A study of economic efficiency of Utah diary farmers: a systems approach. The Review of Economics and Statistics. 1989;595-604.
24. Kumbhakar S.C., Hjalmarsson L. Labour-use efficiency in Swedish social insurance offices. Journal of Applied Econometrics. 10:1995;33-47.
25. Lichtenberg F. The output contribution of computer equipment and personnel: a firm level analysis. Economics of Innovation and New Technology. 3:(4):1995;201-217.
26. Knox Lovell C.A. Production frontiers and productive efficiency. Allen T.J., Morton M.S. The Measurement of Productive Efficiency. 1993;Oxford University Press, Oxford.
27. OECD, International Sectoral Database, Organization for Economic Co-operation and Development, Paris, 1998.
28. OECD, The OECD STAN Database for Industrial Analysis 1978-1997, Organization for Economic Co-operation and Development, Paris, 1998.
29. Oliner S.D., Sichel D.E. The resurgence of growth in the late 1990s: is information technology the story? Journal of Economic Perspectives. 14:(4):2000;3-22.
30. Schmidt P., Lovell C.A.K. Estimating technical and allocative inefficiency relative to stochastic production and cost frontiers. Journal of Econometrics. 9:1979;343-366.
31. Schmidt P., Sickles R.C. Production frontiers and panel data. Journal of Business and Economic Statistics. 4:(2):1984;367-374.
32. Shao B.B.M., Lin W.T. Measuring the value of information technology in technical efficiency with stochastic production frontiers. Information and Software Technology. 43:2001;447-456.
33. Shu W. Will the new economy emerge as information technology pays off? Journal of Association for Information Systems. 2:(1):2001.
34. Stiroh K. Information technology and US productivity revival: what do the industry data say? Working Paper. 2001.
35. Varian H. Microeconomic Analysis. Third ed:1992;W.W. North and Company, New York.