Deconstructing and Reconstructing the Innovation Network of EnterpriseLed Agricultural Science and Technology Parks: A Case Study of Zhanjiang National Agricultural Science and Technology Park

DOI: https://doi.org/10.62517/jmsd.202612313

Author(s)

Zhaogang Fu1,2,*

Affiliation(s)

1School of Business, Lingnan Normal University, Zhanjiang, Guangdong, China; 2 Guangdong Coastal Economic Belt Development Research Center, Lingnan Normal University, Zhanjiang, Guangdong, China *Corresponding Author

Abstract

Under China’s innovation‑driven strategy and Guangdong’s rural revitalisation initiative, enterprise‑led agricultural science and technology parks are critical yet underexplored for integrating marine technology with industry. This study proposes an analytical framework for deconstructing and reconstructing the innovation network of such parks, using Zhanjiang National Agricultural Science and Technology Park—Guangdong’s sole national‑level marine‑industry park—as the case. Drawing on innovation network, complex network, and enterprise autonomy theories, the framework identifies five actor categories (enterprises, universities, research institutes, farming entities, and government) and defines a composite edge weight combining funding and knowledge‑sharing frequency. Three weighted centrality metrics (degree, betweenness, clustering) quantify network structure, with emphasis on the sub‑network linking equipment manufacturers, aquaculture operators, and processors. The framework predicts power concentration, weak value‑chain coordination, and three functional deficiencies: demand transmission delays, weak benefit‑sharing, and poor ecological internalisation. Three reconstruction strategies are proposed: strengthening chain‑master functions while activating marginal nodes, reshaping edge weights to improve pilot coordination and ecological performance, and introducing governance nodes for environmental constraints. The study provides a conceptual foundation and testable propositions for redesigning enterprise‑driven agricultural innovation networks, though empirical verification is needed.

Keywords

Enterprise-Led Agricultural Science and Technology Parks; Innovation Network; Complex Network Theory; Network Reconstruction; Zhanjiang

References

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