• International Area Studies Review
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• v.16 no.3
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• pp.27-51
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• 2012

Among the hypotheses regarding the internal process of industrialization, the debates about 'labor-surplus' model have been intensive. The basic idea of this neoclassical theory is that industrial development is brought about by the transfer of the unlimited cheap labor to the modern sector, and thus, under the labor-surplus situation labor-using technologies should be used for industrialization. Fei and Rannis attempted to confirm this theory by applying it to the Japanese economy. The purpose of this paper is to study whether the theory can be applied to Korean economic development. The neoclassical dualistic model which was designed by Kelly and Williamson was utilized. Simulating Korea's major economic variables for the period of 1965-1992 by using computable general equilibrium (CGE) model, we found that there are significant differentials between the simulation and the actual data. It suggests that Korea's economic development has not followed the neoclassical path -- creation of comparative advantage on the basis of market force.

• Korean Journal of Artificial Intelligence
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• v.7 no.1
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• pp.17-22
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• 2019

The rapid development of artificial intelligence technology has exerted a great influence on all fields of the world, which of course also affects the world economy. This has also aroused a large number of economists' interest in this proposition. Since the definition of artificial intelligence is not unified yet, the results from previous researches are not reliable enough. At present, most scholars use the neoclassical growth model or task-based model to explore the path of artificial intelligence on economic variables. There into, most of them use the degree of automation to represent the artificial intelligence. They find that the degree of automation can change the proportion of industries. This only verifies that artificial intelligence can affect the economic variables. But the magnitude of artificial intelligence on economic variables can not be correctly estimated. Therefore, in order to have a better understanding on the impact of artificial intelligence on economic growth, this paper systematically reviews and collates previous literature on this topic. The results of this paper indicate that both in theoretical and empirical studies, artificial intelligence has a positive effect on economic growth. Then, some suggestions and limitations have also been put forward accordingly.

• KDI Journal of Economic Policy
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• v.36 no.1
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• pp.107-126
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• 2014

The core of the neoclassical growth theory is the capital investment. Solow proposed that the diminishing return is key to such growth process in establishing the stability of the equilibrium growth path. This key postulation has critical implications on the sustainable and effective development policies, emphasizing the importance of productivity growth not only for the steady-state growth but also for the transitional growth from capital accumulation. This paper suggests a novel way to test the diminishing return, the backbone assumption of Solow model, and confirms its strong presence using the Penn World Tables version 8.0 data, hence validates Solow's implications on effective development policies.