Economic Growth And Transition: A Stochastic Technological Diffusion Model
AbstractThis paper constructs a stochastic growth model that anchors on technology diffusion and improvement in social infrastructure to explain the growth of developing countries. The model is based on the technological diffusion model by Barro and Sala-i-Martin (1997) with two significant extensions: the (productivity) parameter in the model which represents social infrastructure is being endogenized and probability of adverse shocks is being incorporated. The stochastic technological diffusion model is able to explain the various economic growth and transition phases of developing economies. Technology diffusion is modeled as the determinant of conditional convergence, while technological progress and economic openness further strengthen the social infrastructure bringing about absolute convergence. The model is also able to explain why some developing economies experience economic take-off while others do not.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Chung-Ang Unviersity, Department of Economics in its journal Journal Of Economic Development.
Volume (Year): 34 (2009)
Issue (Month): 2 (December)
Growth; Technology Diffusion; Social Infrastructure; Convergence; S-Curve Hypothesis;
Find related papers by JEL classification:
- O11 - Economic Development, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
- O30 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - General
- O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Changhui Kang).
If references are entirely missing, you can add them using this form.