Learning-by-doing in R&D, knowledge threshold, and technological divide |
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Authors: | Chang-Yang Lee |
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Institution: | (1) KAIST Business School, KAIST (Korea Advanced Institute of Science and Technology), 87 Hoegiro, Dongdaemun, Seoul, 130–722, South Korea |
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Abstract: | This paper presents a simple R&D-based growth model of the “technological divide,” in which learning-by-doing (investing)
in R&D and a threshold level of technological knowledge jointly determine the pattern of economic growth. Specifically, the
model generates differences in the growth pattern primarily by modifying the underlying parameters that govern the evolution
of economy-wide technological competence or dynamic R&D productivity. The technological divide arises at the threshold level
of technological knowledge, which is largely affected by the quality of socio-technological infrastructure. Government policies
aimed at enhancing the quality of socio-technological infrastructure can help countries escape from the “technology divide”
trap by lowering the knowledge threshold. While the model preserves the spirit of the R&D-based endogenous growth model in
the sense of its policy effects and the endogenous evolution of technological competence, the model does not need to reach
the scale effect directly, where an increase in the size of an economy generates more rapid growth. |
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Keywords: | |
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