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Quantitative Evaluation and Optimization Path of Advanced Manufacturing Development Policy Based on the PMC–AE Index Model

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  • Guilisse La Fortune Nkoua Nkuika

    (Shanghai Institute of Technology)

  • Xia Yiqun

    (Shanghai Institute of Technology)

Abstract

Expediting the development of advanced manufacturing is a significant path for China to transform from a large manufacturing country to a strong manufacturing country. To scientifically evaluate the national advanced manufacturing industry development policy system, the paper uses the content analysis method to conduct a comprehensive two-dimensional quantitative analysis of the policy texts from 2005 to 2020. Based on the results obtained by text mining technology, the self-coding technology of neural network theory is further introduced to construct a policy modeling consistency index-auto encoder (PMC–AE) index model for multidimensional policy evaluation in advanced manufacturing industry, calculate the PMC–AE index and generate three-dimensional surfaces. Combined with the policy background and implementation purposes, ten typical advanced manufacturing development policies are evaluated horizontally, and their advantages and disadvantages in nine aspects, such as policy intensity and policy timeliness, are analyzed vertically. Furthermore, this paper analyzes the development status and competitiveness of the global advanced manufacturing industry. Based on the policy text analysis and PMC–AE index evaluation results, this paper proposes the optimal path to promote the high-quality development of national advanced manufacturing industry.

Suggested Citation

  • Guilisse La Fortune Nkoua Nkuika & Xia Yiqun, 2022. "Quantitative Evaluation and Optimization Path of Advanced Manufacturing Development Policy Based on the PMC–AE Index Model," International Journal of Global Business and Competitiveness, Springer, vol. 17(1), pages 1-11, December.
    • Handle: RePEc:spr:ijogbc:v:17:y:2022:i:1:d:10.1007_s42943-022-00063-x
    DOI: 10.1007/s42943-022-00063-x
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    References listed on IDEAS

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    1. F. Tao & Y. Cheng & L. Zhang & A. Y. C. Nee, 2017. "Advanced manufacturing systems: socialization characteristics and trends," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1079-1094, June.
    2. Gregory Tassey, 2014. "Competing in Advanced Manufacturing: The Need for Improved Growth Models and Policies," Journal of Economic Perspectives, American Economic Association, vol. 28(1), pages 27-48, Winter.
    3. Kirankumar S. Momaya, 2019. "The Past and the Future of Competitiveness Research: A Review in an Emerging Context of Innovation and EMNEs," International Journal of Global Business and Competitiveness, Springer, vol. 14(1), pages 1-10, December.
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    Cited by:

    1. Junyan Meng & Wei Xu, 2023. "Quantitative Evaluation of Carbon Reduction Policy Based on the Background of Global Climate Change," Sustainability, MDPI, vol. 15(19), pages 1-14, October.

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    More about this item

    Keywords

    Advanced manufacturing industry; Auto encoder; Policy evaluation; PMC–AE index model; Optimization path;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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