Skip to main content
Log in

Technology usage lags

  • Published:
Journal of Economic Growth Aims and scope Submit manuscript

Abstract

We present evidence on the differences in the intensity with which ten major technologies are used in 185 countries across the world. We do so by calculating how many years ago these technologies were used in the U.S. with the same intensity as they are used in the countries in our sample. We denote these time lags as technology usage lags and compare them with lags in real GDP per capita. We find that (i) technology usage lags are large, often comparable to lags in real GDP per capita, (ii) usage lags are highly correlated with lags in per-capita income, and (iii) usage lags are highly correlated across technologies. The productivity differentials between the state-of-the-art technologies that we consider and the ones they replace, combined with the usage lags that we document, lead us to infer that differences in the intensity of usage of technologies might account for a large part of cross-country TFP differentials.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Barro R., Sala-i-Martin X. (1992) Convergence. Journal of Political Economy 100: 223–251

    Article  Google Scholar 

  • Basu S. (1996) Procyclical productivity, increasing returns or cyclical utilization?. Quarterly Journal of Economics 111(3): 719–751

    Article  Google Scholar 

  • Bech M., Hobijn B. (2007) Technology diffusion within central banking: The case of real-time gross settlement. International Journal of Central Banking 3: 147–181

    Google Scholar 

  • Benhabib J., Spiegel M. (2005) Human capital and technology diffusion. In: Aghion P., Durlauf S.(eds) Handbook of economic growth. North-Holland, Amsterdam

    Google Scholar 

  • Burnside C., Eichenbaum M., Rebelo S. (1995) Capacity utilization and returns to scale. In: Bernanke B., Rotemberg J.(eds) NBER macroeconomics annual. MIT Press, London, pp 67–110

    Google Scholar 

  • Caselli F., Coleman W.J. (2001) Cross-country technology diffusion: The case of computers. American Economic Review – AEA Papers and Proceedings 91: 328–335

    Google Scholar 

  • Chari V.V., Hopenhayn H. (1991) Vintage human capital, growth, and the diffusion of new technology. Journal of Political Economy 99: 1142–1165

    Article  Google Scholar 

  • Clark G. (1987) Why isn’t the whole world developed? Lessons from the cotton mills. Journal of Economic History 47: 141–173

    Article  Google Scholar 

  • Comin D., Hobijn B. (2004) Cross-country technology adoption: Making the theories face the facts. Journal of Monetary Economics 51: 39–83

    Article  Google Scholar 

  • Comin, D., & Hobijn, B. (2007). Implementing technology. NBER Working Paper 12886.

  • Comin, D., & Hobijn, B. (2009). Lobbies and technology diffusion. Review of Economics and Statistics (forthcoming).

  • Comin, D., Easterly, W., & Gong, E. (2006a). Was the wealth of nations determined in 1000B.C.? NBER Working Paperx 12657.

  • Comin, D., Hobijn, B., & Rovito, E. (2006b). Five facts you need to know about technology diffusion. NBER Working Paper 11928 .

  • David P.A. (1990) The dynamo and the computer: An historical perspective on the modern productivity paradox. American Economic Review: Papers and Proceedings 80: 355–361

    Google Scholar 

  • Easter K.W., Abel M.E., Norton G. (1977) Regional differences in agricultural productivity in selected areas of India. American Journal of Agricultural Economics 59: 257–265

    Article  Google Scholar 

  • Energy Information Administration. (2005). U.S. household electricity report. http://www.eia.doe.gov/emeu/reps/enduse/er01_us.html. Accessed 7 Nov 2008.

  • Federal Reserve Bank of Dallas. (1996). The economy at light speed: Technology and growth in the information age—and beyond. Federal Reserve Bank of Dallas 1996 Annual Report.

  • Food and Agriculture Organization of the United Nations (FAO). (2008). FAOSTAT. http://faostat.fao.org/site/336/default.aspx. Accessed 7 Nov 2008.

  • Griliches Z. (1957) Hybrid corn: An exploration in the economics of technological change. Econometrica 25: 501–522

    Article  Google Scholar 

  • Hall R.E., Jones C.I. (1999) Why do some countries produce so much more output per worker than others?. Quarterly Journal of Economics 114: 83–116

    Article  Google Scholar 

  • Jovanovic, B. (2007). The technology cycle and inequality, Mimeo, New York University (Updated version of NBER Working Paper 10910).

  • Klenow, P., & Rodríguez-Clare, A. (1997). The neoclassical revival in growth economics: Has it gone too far? In B. Bernanke & J. Rotemberg (Eds.), NBER macroeconomics annual (pp. 73–102). MIT Press.

  • Lucas R.E. Jr. (1990) Why doesn’t capital flow from rich to poor countries?. American Economic Review: Papers and Proceedings 80: 92–96

    Google Scholar 

  • Lucas R.E. Jr. (2000) Some macroeconomics for the 21st Century. Journal of Economic Perspectives 14: 159–168

    Article  Google Scholar 

  • Maddison A. (2007) Contours of the world economy: The pace and pattern of change, 1-2030 AD. Oxford University Press, Oxford

    Google Scholar 

  • Mansfield E. (1961) Technical change and the rate of imitation. Econometrica 29: 741–766

    Article  Google Scholar 

  • Mitchell, B. R. (1998a). International historical statistics: Africa, Asia & Oceania, 1750–2000 (4th ed.). Houndmills, Basingstokes, Hampshire, New York: Palgrave Macmillan, 2003.

  • Mitchell, B. R. (1998b). International historical statistics: The Americas, 1750–2000(5th ed.). Houndmills, Basingstokes, Hampshire, New York: Palgrave Macmillan, 2003.

  • Mitchell, B. R. (1998c). International historical statistics: Europe, 1750–2000 (5th ed.). Houndmills, Basingstokes, Hampshire, New York: Palgrave Macmillan, 2003.

  • Oliner S.D., Sichel D.E. (2000) The resurgence of growth in the late 1990s: Is information technology the story?. Journal of Economic Perspectives 14(4): 3–22

    Article  Google Scholar 

  • Parente S.L., Prescott E.C. (1994) Barriers to technology: Adoption and development. Journal of Political Economy 102: 298–321

    Article  Google Scholar 

  • Parente S.L., Prescott E.C. (1999) Monopoly rights: A barrier to riches. American Economic Review 89: 1216–1233

    Google Scholar 

  • Prescott E.C. (1997) Needed: A theory of total factor productivity. International Economic Review 39: 525–551

    Article  Google Scholar 

  • Skinner J., Staiger D. (2007) Technology adoption from hybrid corn to beta blockers. In: Berndt E., Hulten C.M.(eds) Hard-to measure goods and services: Essays in honor of Zvi Griliches. University of Chicago Press, Chicago

    Google Scholar 

  • Tamura R. (1996) From decay to growth: A demographic transition to economic growth. Journal of Economic Dynamics and Control 20: 1237–1262

    Article  Google Scholar 

  • Weil D. (2005) Economic growth. Addison-Wesley, Boston

    Google Scholar 

  • World Bank. (2007) World development indicators. D.C., Washington

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bart Hobijn.

Additional information

The views expressed in this paper solely reflect those of the authors and not necessarily those of the National Bureau of Economic Research, Federal Reserve Bank of San Francisco, nor those of the Federal Reserve System as a whole. This research was completed when Emilie Rovito was an economist at the Federal Reserve Bank of New York. We appreciate the financial assistance of the NSF (Grants # SES-0517910 and SBE-738101) and the C.V. Starr Center for Applied Economics. We would like to thank Mark Bils, Hitesh Makhija, Andres Rodríguez-Clare, Romain Wacziarg, and Matt Wiswall for comments and suggestions.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Comin, D., Hobijn, B. & Rovito, E. Technology usage lags. J Econ Growth 13, 237–256 (2008). https://doi.org/10.1007/s10887-008-9035-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10887-008-9035-5

Keywords

JEL Classification

Navigation