The Journal of Grey System ›› 2025, Vol. 37 ›› Issue (5): 96-112.

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Identification of Key Elements for High-Quality Development of Manufacturing Enterprises Based on Grey Superior Analysis

  

  1. College of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou, Henan, 450046, P.R. China
  • Online:2025-10-15 Published:2025-09-22
  • Supported by:
    This research was supported by the Major Research Program of the National Social Science Foundation of China (Grant No. 22BJY225), the General Program of Humanities and Social Sciences of the Henan Provincial Department of Education (Grant No. 2024-ZZJH-413), the General Program of the National Natural Foundation of China（71974056） and the Support Program for Philosophy and Social Sciences Innovation Teams in Henan Higher Education Institutions (2024-CXTD-10). The authors would like to thank the reviewers and look forward to receiving their comments. If you have any questions, please do not hesitate to contact us.

Abstract:

Manufacturing enterprises serve as the main implementers for the high-quality development of China's manufacturing industry. Accurately identifying the key elements that evaluate and influence high-quality development is a prerequisite for exploring the path of high-quality enterprise development. This paper defines the connotation of high-quality development of manufacturing enterprises from two dimensions, "state" and "process", and constructs the characteristic behavior sequence and related factor behavior sequence for high-quality development of manufacturing enterprises accordingly. Using the grey superiority analysis model, an empirical study was
conducted on 1017 manufacturing enterprises. The study found that: (1) The evaluation elements for high-quality development in different sub-sectors of the manufacturing industry exhibit significant industry-specific characteristics and internal laws. The overall evaluation indicators for the manufacturing industry cover four dimensions: management capability, innovation effectiveness, social effects, and operational benefits. Capital-intensive manufacturing industries focus on operational benefits and management capability; technology-intensive manufacturing industries take innovation effectiveness and social effects as their core; while labor-intensive
manufacturing industries emphasize management capability and social effects. (2) The distribution of key relevant factors in different manufacturing sub-sectors presents significant industry heterogeneity and certain regularity. The high-quality development of the overall manufacturing industry and labor-intensive industries is jointly driven by three-dimensional factors of resources, environment and benefits. The key factors of capital-intensive manufacturing are concentrated in resources and environment, while the factors of technology-intensive manufacturing focus on benefits and environment. In summary, theoretically, the indicator system constructed in this paper and the key elements of each sub-sector derived from empirical research provide a clear indicator framework for subsequent
scholars to study specific sub-sectors. At the practical level, the research findings offer useful management insights for managers and policymakers of manufacturing enterprises in China.