Economic growth and technological change: A comparison of insights from a neo-classical and an evolutionary perspective

Citation
P. Mulder et al., Economic growth and technological change: A comparison of insights from a neo-classical and an evolutionary perspective, TECHNOL FOR, 68(2), 2001, pp. 151-171
Citations number
71
Categorie Soggetti
EnvirnmentalStudies Geografy & Development
Journal title
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
ISSN journal
00401625 → ACNP
Volume
68
Issue
2
Year of publication
2001
Pages
151 - 171
Database
ISI
SICI code
0040-1625(200110)68:2<151:EGATCA>2.0.ZU;2-B
Abstract
Over the last two decades, dissatisfaction with the traditional Solow-Swan model of economic growth resulted in two new classes of models of economic growth and technological change: neo-classical endogenous growth models, an d evolutionary growth models. The first class of models has been labeled en dogenous, because of its key feature of endogenizing technological change. The second class of models endogenizes technological change as well, but ac cording to an evolutionary view on economic growth and technological change . In this paper we discuss the insights from both the neo-classical and the evolutionary perspectives. It is argued that in evolutionary models techno logical and behavioral diversity, uncertainty, path dependency, and irrever sibility are elaborated in a more sophisticated and explicit way than in ne o-classical growth models. However, this level of microeconomic diversity c omes at a certain price. Due to the complexity ofthe models, which preclude analytical tractability, the mechanisms behind the aggregate dynamics are not always clearly exposed. In addition, it will be argued that the neo-cla ssical and the evolutionary approach are converging in the Schumpeterian fr amework. The latter framework is developed in both classes of models as a m eans for theorizing on technological change. A challenging task for further research is to combine the fruitful insights of both the neo-classical and the evolutionary approach to improve our understanding of complex processe s of technological change in relation to other micro- and macroeconomic pro cesses. (C) 2001 Elsevier Science Inc. All rights reserved.