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Research on the Construction and Measurement of the HQDMI Evaluation Index System—A Case Study of China

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  • Yongqiang Su

    (School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Jinfa Shi

    (School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Manman Zhang

    (School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

Abstract

Scientific and accurate evaluations of the high-quality development level of the manufacturing industry have important theoretical significance and reference value for the government and for decision-making departments for the formulation of corresponding incentive measures. Firstly, based on rough set theory, this paper proposes an attribute reduction method, which can help to delete redundant indexes and reduce the calculation workload. Secondly, a more scientific combination weighting method is proposed, and the calculation method of the total index in an evaluation index system is given. Finally, the HQDMI evaluation index system is constructed based on the connotations of the high-quality development of the manufacturing industry. Taking China as an example, the total index and sub-index of high-quality development of 30 provinces in China are calculated, the high-quality development level of the manufacturing industry in 30 provinces is clustered based on SPSS24.0, and the visualization of the clustering results is achieved by ArcGIS software. The results show that the high-quality development level of China’s manufacturing industry has regional distribution characteristics. Regions with high development levels are mainly distributed in eastern coastal areas, followed by the central development level, and those of the northeast and west are low. This study provides a theoretical application mode for the evaluation of the high-quality development level of the manufacturing industry, and it has theoretical guidance significance for promoting the high-quality development of the manufacturing industry.

Suggested Citation

  • Yongqiang Su & Jinfa Shi & Manman Zhang, 2022. "Research on the Construction and Measurement of the HQDMI Evaluation Index System—A Case Study of China," Sustainability, MDPI, vol. 14(22), pages 1-30, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15364-:d:977159
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    References listed on IDEAS

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    1. Mohamed Abubakr & Adel T. Abbas & Italo Tomaz & Mahmoud S. Soliman & Monis Luqman & Hussien Hegab, 2020. "Sustainable and Smart Manufacturing: An Integrated Approach," Sustainability, MDPI, vol. 12(6), pages 1-19, March.
    2. Eduard Gabriel Ceptureanu & Sebastian Ion Ceptureanu & Razvan Bologa & Ramona Bologa, 2018. "Impact of Competitive Capabilities on Sustainable Manufacturing Applications in Romanian SMEs from the Textile Industry," Sustainability, MDPI, vol. 10(4), pages 1-16, March.
    3. Zon-Yau Lee & Mei-Tai Chu & Shiuann-Shuoh Chen & Chih-Hung Tsai, 2018. "Identifying Comprehensive Key Criteria of Sustainable Development for Traditional Manufacturing in Taiwan," Sustainability, MDPI, vol. 10(9), pages 1-19, September.
    4. Sujit Singh & Ezutah Udoncy Olugu & Siti Nurmaya Musa & Abu Bakar Mahat, 2018. "Fuzzy-based sustainability evaluation method for manufacturing SMEs using balanced scorecard framework," Journal of Intelligent Manufacturing, Springer, vol. 29(1), pages 1-18, January.
    5. Mirco Peron & Giuseppe Fragapane & Fabio Sgarbossa & Michael Kay, 2020. "Digital Facility Layout Planning," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
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    Cited by:

    1. Fen Lyu & Gang Wu, 2023. "A DPSR and SEM Based Framework to Evaluate High-Quality Development in Chinese Manufacturing Industry," SAGE Open, , vol. 13(4), pages 21582440231, November.

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