• Title/Summary/Keyword: CES production function

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A Specification of VES Production Function Model (VES 생산함수 추정을 위한 모형설정)

  • 박종구
    • Journal of the Korean Statistical Society
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    • v.2 no.1
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    • pp.3-7
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    • 1973
  • Zellner, Kmenta, Dreze (1966) and later Hedges (1969) showed that consistent estimates of the parameters of Cobb-Douglas or CES production functions can be obtained by the single equation estimation methods if the models incorporate the assumption that firms maximize the mathematical expectation of profits. This note demonstrates that the results of the above-cited works can be extended to a class of VES production function models.

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Constructing an Energy-extended KLEM DB and Estimating the Nested CES Production Functions for Korea (한국 경제의 KLEM DB구축과 중첩 CES 생산함수 추정)

  • Kwon, Oh-Sang;Han, Mijin;Ban, Kyunghoon;Yoon, Jiwon
    • Environmental and Resource Economics Review
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    • v.27 no.1
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    • pp.29-66
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    • 2018
  • This study constructs an energy-extended KLEM DB of 35 Korean industries, and estimates the elasticities of substitution under various nesting structures of production technologies. Unlike most existing studies that employed only three inputs, K, L, and E, we applied a dual approach where non-energy intermediate input M is also incorporated as a production input. Our dual approach which extended that of van der Werf (2008)'s 3-input model successfully identified and estimated the multi-nested production functions. We provide the estimates of the elasticities of substitution among 4 different energy sources as well. Our estimation results would be used for energy-environment model building for Korea.

Innovation and Economic Growth: Factor Substitution, Technological Change and R&D Investment (기술혁신과 경제성장: 요소대체율, 기술진보율 및 연구개발투자)

  • Shin, Tae-Young
    • Journal of Technology Innovation
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    • v.15 no.2
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    • pp.1-24
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    • 2007
  • In this study, we estimated a CES production function for the Korean economy. We have found in the empirical results that the elasticity of the factor substitution is less than one and that the Korean economy exhibits labor-saving technological progress. In addition, we obtained the regression coefficient of R&D investment on technological change, i.e., the elasticity of R&D investment with respect to the technological change was 0.26% point. It implies that if R&D stock increases by 1%, labor efficiency increases 0.26% point through technological progress which is Hicksian non-neutral. It confirms that innovation-based growth strategy by increasing R&D investment would be effective on the one hand. Some policy consideration on the other might be needed for an increase in employment which is offset by technological progress.

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