Technology adoption, adaptation and growth
Radhika Lahiri,
Juhong Ding and
Zivanemoyo Chinzara ()
Economic Modelling, 2018, vol. 70, issue C, 469-483
Abstract:
We revisit the notion of “appropriate technology” considered in Basu and Weil (1998) whereby technologies that are more capital intensive are adopted only after a certain level of capital depth has been achieved. We incorporate the idea by explicitly modelling the choice between two technologies in a heterogeneous agent model with overlapping generations. Both technologies can be improved through ‘learning-by-doing’ and adaptation of the technology to local conditions. One of the technologies is an ‘advanced technology’ in that it has potentially greater returns to capital deepening, and also to learning-by-doing and adaptation. However, a critical level of development has to be reached before the technology becomes appropriate; for lower levels of development the less advanced technology is more productive. Depending on initial conditions, a variety of long run outcomes and transitional dynamics are possible, suggesting that “appropriate technology” provides a potential explanation for the diversity of growth and technology diffusion experiences observed in world economies.
Keywords: 011; 030; 033 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999317312476
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:70:y:2018:i:c:p:469-483
DOI: 10.1016/j.econmod.2017.08.026
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().