Research on the Development Model and Transformation and Upgrading Path of Wenzhou Industrial Clusters

Hongjuan Lu

doi:10.6981/FEM.202509_6(9).0009

Authors

Hongjuan Lu

DOI:

https://doi.org/10.6981/FEM.202509_6(9).0009

Keywords:

Composite Location Entropy; Industrial Cluster; Transformation and Upgrading; Effectiveness Evaluation.

Abstract

Wenzhou, as an important birthplace of China's private economy, has typical and representative industrial cluster development. This article systematically analyzes the development status, efficiency, and transformation path of Wenzhou industrial clusters based on the composite location entropy and four-dimensional dominant capability evaluation model. Research shows that Wenzhou has formed a dual track parallel pattern of traditional pillar industries and emerging strategic industries. Traditional industries have a high degree of agglomeration but weak growth, while emerging industries are active in innovation but lack scale. By constructing an evaluation system that covers innovation, development, agglomeration, and green dimensions, identify the advantages of head clusters and the transformation needs of midstream and downstream industries. To address issues such as low efficiency in innovation transformation and contradictions in growth quality, measures such as strengthening technological innovation, promoting digitalization and green transformation, and improving policy systems are proposed to provide scientific basis and practical path for Wenzhou to build an advanced manufacturing cluster with international competitiveness.

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References

[1] Marshall A.: Principles of Economics (Macmillan, UK 1890), p.

[2] Porter M.E.: The Competitive Advantage of Nations (Free Press, USA 1990), p.

[3] Gereffi G.: The Global Economy: Organization, Governance, and Development, Handbook of Economic Sociology (Princeton University Press, USA 2005), p. 160–182.

[4] Becattini G.: The Marshallian Industrial District as a Socio-Economic Notion, Revue d’Économie Industrielle, Vol. 51 (1990) No. 1, p. 37–60.

[5] Martin R., Sunley P.: Path Dependence and Regional Economic Evolution, Journal of Economic Geography, Vol. 6 (2006) No. 4, p. 395–437.

[6] Cheng W.L.: Analysis of Total Factor Productivity in Innovative Industrial Clusters, China Industrial Economics, Vol. (2022) No. 9, p. 118–136. (In Chinese)

[7] Hu H.Y.: Research on the Integrated Development Model of Cultural Industry Clusters in the Yangtze River Delta, Economic Geography, Vol. 42 (2022) No. 1, p. 112–119. (In Chinese)

[8] Liu D.P., Luo R.Y. et al.: Research on the Impact of Industrial Linkage on the Development of Industrial Clusters in Henan Province, Statistics Theory and Practice, Vol. (2022) No. 5, p. 15–23. (In Chinese)

[9] Jin H.: Dilemmas and Technological Innovation Transformation Strategies of Traditional Footwear and Apparel Industrial Clusters: A Case Study of Wenzhou, Science and Technology Management Research, Vol. 43 (2023) No. 16, p. 169–176. (In Chinese)

[10] Institute of Informatization and Software, China Center for Information Industry Development: International Experience and Enlightenment of Developing Digital Industrial Clusters, China Industry & Information Technology, Vol. (2023) No. 8, p. 14–18. (In Chinese)

[11] Yin H.D., Hao W.R., Liao Y.: Research on the Development of Strategic Emerging Industrial Clusters in Guangdong Province, Co-Operative Economy & Science, Vol. (2024) No. 7, p. 14–17. (In Chinese)

[12] Chu X.C. et al.: Research on the Integrated Development of Strategic Emerging Industries in Anhui Province, Statistical Theory and Practice, Vol. (2024) No. 2, p. 38–41. (In Chinese)