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Measuring Technological Progress of Smart Grid Based on Production Function Approach

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  • Dong Han
  • Zheng Yan

Abstract

Production function theory combined with data envelopment analysis (DEA) and ridge regression analysis (RRA) is applied to evaluate the technological progress of the smart grid. The feasible conditions of production function models are determined by the DEA algorithm. RRA is applied to estimate the relevant parameters of the evaluation models under study. One of the significant steps in the design of the assessment algorithm is the structure of production function models. Therefore, the Cobb-Douglas, constant elasticity of substitution, and translog production functions are employed to evaluate the technological progress of the smart grid, respectively. The results of analysis and calculation mainly include the DEA relative efficiency, slacks in inputs and outputs of inefficient units, estimated parameters, and quantitative indices of technological progress.

Suggested Citation

  • Dong Han & Zheng Yan, 2014. "Measuring Technological Progress of Smart Grid Based on Production Function Approach," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-9, September.
    • Handle: RePEc:hin:jnlmpe:861820
    DOI: 10.1155/2014/861820
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    Cited by:

    1. BRAILA Alexandru & TOACA Zinovia, 2020. "Identification Of The Production Function By The Form Of The Marginal Characteristics, The Marginal Substitution Rate, The Elasticities And The Cost Function," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 72(3), pages 8-18, November.

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