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Parameter Estimation of a Mixed Production Function Model Based on Improved Firefly Algorithm and Model Application

Author

Listed:
  • Cheng Maolin

    (School of Mathematics and Physics, Suzhou University of Science and Technology, Suzhou, 215009, China)

  • Han Yun

    (School of Business, Suzhou University of Science and Technology, Suzhou, 215009, China)

Abstract

In the analysis on economic growth factors, researchers usually use the production function model to calculate and measure influencing factors’ contribution rates to economic growth. Common production functions include the CD (Cobb-Douglas) production function, the CES (Constant Elasticity of Substitution) production function, the VES (Variable Elasticity of Substitution) production function, and so on. In consideration of the diversity and complementarity of models, the paper combines the CD production function with the CES production function and then proposes a mixed production function. With regard to the parameter estimation of model, the paper gives an improved firefly algorithm with the high precision and a fast rate of convergence. With regard to the calculation of factors’ contribution rates, traditional methods generally have big errors and are not applicable to complicated models, so the paper offers a new method which can calculate contribution rates scientifically. Finally, the paper calculates the contribution rates of factors affecting Chinese economic growth and gets a good result.

Suggested Citation

  • Cheng Maolin & Han Yun, 2018. "Parameter Estimation of a Mixed Production Function Model Based on Improved Firefly Algorithm and Model Application," Journal of Systems Science and Information, De Gruyter, vol. 6(4), pages 336-348, August.
  • Handle: RePEc:bpj:jossai:v:6:y:2018:i:4:p:336-348:n:4
    DOI: 10.21078/JSSI-2018-336-13
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    References listed on IDEAS

    as
    1. Kemfert, Claudia, 1998. "Estimated substitution elasticities of a nested CES production function approach for Germany," Energy Economics, Elsevier, vol. 20(3), pages 249-264, June.
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