Abstract
General purpose technologies (GPTs) are drastic innovations characterized by pervasiveness in use and innovational complementarities. The dynamic effects of a GPT are analyzed within a quality-ladders model of scale-invariant Schumpeterian growth. The diffusion path of a GPT across a continuum of industries is governed by S-curve dynamics. The model generates a unique, saddle-path long-run equilibrium. Along the transition path, the measure of industries that adopt the new GPT increases, consumption per capita falls, and the interest rate rises. The growth rate of the stock market depends negatively on the rate of GPT diffusion and the magnitude of the GPT-ridden R&D productivity gains; and positively on the rate of population growth. It also follows a U-shaped path during the diffusion process of the new GPT. Finally, the model generates transitional growth cycles of per capita GNP.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aghion P, Howitt P (1998a) Endogenous growth theory. MIT Press, Cambridge, MA
Aghion P, Howitt P (1998b) On the macroeconomic effects of major technological change. In: Helpman E, (eds) General purpose technologies and economic growth. MIT Press, Cambridge, MA
Andersen B, (1999) The hunt for s-shaped growth paths in technological innovation: a patent study. Journal of Evolutionary Economics 9: 487–526
Arroyo C, Dinopoulos E, Donald S (1995) Schumpeterian growth and capital accumulation: theory and evidence. Mimeo
Barro R, Sala-I-Martin X (1995) Economic growth. McGraw-Hill, New York
Bresnahan T, Trajtenberg M (1995) General purpose technologies: Engines of growth? Journal of Econometrics 65: 83–108
Cheng L, Dinopoulos E (1996) A multisectoral general equilibrium model of Schumpeterian growth and fluctuations. Journal of Economic Dynamics & Control 20: 905–923
David P (1990) The dynamo and the computer: a historical perspective on the modern productivity paradox. American Economic Review 80: 355–361
Dinopoulos E (1994) Schumpeterian growth theory: an overview. Osaka City University Economic Review 29: 1–21
Dinopoulos E, Segerstrom P (1999) A schumpeterian model of protection and relative wages. American Economic Review 89: 450–472
Dinopoulos E, Sener M (2003) New directions in Schumpeterian growth theory. University of Florida. Mimeo
Dinopoulos E, Syropoulos C (2000) Innovation and rent protection in the theory of schumpeterian growth. University of Florida. Mimeo
Dinopoulos E, Thompson P (1996) A contribution to the empirics of endogenous growth Eastern Economic Journal 22: 389–400
Dinopoulos E, Thompson P (1998) Schumpeterian growth without scale effects. Journal of Economic Growth 3: 313–335
Dinopoulos E, Thompson P (1999) Scale effects in schumpeterian models of economic growth. Journal of Evolutionary Economics 9: 157–185
Eriksson C, Lindh T (2000) Growth cycles with technology shifts and externalities. Economic Modelling 17: 139–170
Griliches Z (1957) Hybrid corn: an exploration in the economics of technological change. Econometrica 25: 501–522
Grossman, G, Helpman E (1991) Quality ladders in the theory of growth. Review of Economic Studies 59: 43–61
Helpman E (1998) General purpose technologies and economic growth. MIT Press, Cambridge, MA
Helpman E, Rangel A (1998) Adjusting to a new technology: experience and training. NBER Working Paper 6551
Helpman E, Trajtenberg M (1998a) A time to sow and a time to reap: growth: based on general purpose technologies. In: Helpman E (eds) General purpose technologies and economic growth. MIT Press, Cambridge, MA
Helpman E, Trajtenberg M (1998b) Diffusion of general purpose technologies. In: Helpman E (eds) General purpose technologies and economic growth. MIT Press, Cambridge, MA
Hobijn B, Jovanovic B (2001) The information-technology revolution and the stock market: evidence. American Economic Review 91: 1203–1220
Jones C (1995a) Time-series tests of endogenous growth models. Quarterly Journal of Economics 110: 495–525
Jones C (1995b) R&D-based models of economic growth. Journal of Political Economy 103: 759–784
Jorgenson D (2001) Information technology and the U.S. economy. American Economic Review 91: 1–32
Jovanovic B, Rousseau P (2001) Vintage organization capital. NBER Working Paper 8166
Mulligan CB, Sala-I-Martin X (1991) A note on the time-elimination method for solving recursive economic models. NBER Working Paper 116
Mulligan CB, Sala-I-Martin X (1992) Transition dynamics in two-sector models of endogenous growth. Quarterly Journal of Economics 107: 739–773
Peretto P (1998) Technological change and population growth. Journal of Economic Growth 3: 283–311
Peretto P, Smulders S (1998) Specialization knowledge dilution, and scale effects in an io-based growth model. Center For Economic Research, Tilberg University, Paper No. 9082
Schumpeter JA (1934) The theory of economic development. Harvard University Press, Cambridge, MA
Segerstrom P (1998) Endogenous growth without scale effects. American Economic Review 88: 1290–1310
Segerstrom P, Zolnierek J (1999) The R&D incentives of industry leaders. International Economic Review 40: 745–766
Thirtly C, Ruttan V (1987) The role of demand and supply in the generation and diffusion of technical change. Harwood Academic Publishers, Switzerland
Young A (1998) Growth without scale effects. Journal of Political Economy 106: 41–63
Zachariadis M (2003) R&D innovation, and technological progress: a test of the Schumpeterian framework without scale effects. Canadian Journal of Economics (forthcoming)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Petsas, I. (2005). The dynamic effects of general purpose technologies on Schumpeterian growth. In: Cantner, U., Dinopoulos, E., Lanzillotti, R.F. (eds) Entrepreneurships, the New Economy and Public Policy. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26994-0_17
Download citation
DOI: https://doi.org/10.1007/3-540-26994-0_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22613-0
Online ISBN: 978-3-540-26994-6
eBook Packages: Business and EconomicsEconomics and Finance (R0)