国家级专精特新企业智慧专业化评价——基于547家“小巨人”的实证分析

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Abstract Based on the perspective of smart specialization,a“three-dimensional integration”evaluation framework composed of knowledge competitiveness,innovation network embeddedness,and product specialization is designed,the evaluation index system for the smart specialization of specialized,refined,differentiated,and innovative(SRDI)enterprises is constructed,the longitudinal and horizontal level-opening method,entropy weight TOPSIS,and gray correlation analysis are used to conduct empirical analysis on 547“little giants”from 2011 to 2022.The evaluation results show that the 547 enterprises belong to leading enterprises,uphill enterprises,downhill enterprises,and backward enterprises,and the overall level of smart specialization of these enterprises presents a normal distribution characteristic of less at both ends and more in the middle.Knowledge competitiveness and innovation network embeddedness have a relatively greater impact on the smart specialization of SRDI enterprises.The average level of smart specialization of SRDI enterprises in non-metallic mineral products industry and automobile manufacturing industry both show a characteristic of fluctuation and decrease,while that of 13 industries such as chemical raw materials and chemical products manufacturing industry and pharmaceutical manufacturing industry show a characteristic of fluctuation and growth.The eastern region has the largest proportion of leading and uphill enterprises,and enterprises with high-level smart specialization are concentrated in the eastern and northeastern regions.

Key words： SRDI enterprise Smart specialization Little giant Evaluation framework Combined evaluation

Received: 18 March 2024

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F276.3

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	Yang Fei
	Zhong Shuhua

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Yang Fei,Zhong Shuhua. Evaluation of the Smart Specialization of National-level Specialized, Refined,Differentiated,and Innovative Enterprises ——Based on an Empirical Analysis of 547‘Little Giants’[J]. , 2025, 6(1): 65-77.

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http://www.zgkjlt.org.cn/EN/ OR http://www.zgkjlt.org.cn/EN/Y2025/V6/I1/65

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