Research on the Upgrading Path of Foshan Ceramic Industry Based on Data Elements

Dongwu Lin; Xianghan Zhang

doi:10.62177/apemr.v2i6.892

Authors

Dongwu Lin Guangzhou College of Technology and Business
Xianghan Zhang Guangzhou College of Technology and Business

DOI:

https://doi.org/10.62177/apemr.v2i6.892

Keywords:

Data Elements, Ceramics Industry, Industrial Upgrading, Path Research

Abstract

As data becomes a key force reshaping industrial organization and resource allocation mechanisms, traditional manufacturing faces an urgent need to upgrade its governance structures in the digital economy era. Drawing on the typical practices of the Foshan ceramics industry, this paper constructs a three-mechanism model of “data standardization—platform-based collaboration—data public goods supply,” systematically revealing how data drives traditional industrial upgrading. The Foshan practice demonstrates that data has become a core driving force for the high-quality development of traditional manufacturing. The study further proposes an upgrading path driven by standardization, supply chain collaboration, public goods orientation, and ecosystem-based sustainable development, providing a reference for the digital and data-driven transformation of traditional industries.

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References

Zhang, Y. H., & Liu, C. (n.d.). Theoretical deconstruction and application scenario research of resource allocation in digital economy (in Chinese). Price Theory and Practice, 1–7.

Chen, M. G., Zhao, Y. R., & Duan, Y. P. F. (2025). The development history, current dilemmas and promotion strategies of China's data element market (in Chinese). Reform, (10), 12–27.

Ouyang, R. H., & Xu, Y. B. (2025). Theoretical exploration and strategic measures for the market-oriented allocation reform of data elements during the "15th Five-Year Plan" period (in Chinese). Journal of Beijing Technology and Business University (Social Science Edition), 40(05), 1–11.

Zhang, X. F., Cui, Z. Q., Guo, Z. H., & Shi, L. H. (n.d.). Market-oriented allocation of data elements and specialization of enterprise division of labor (in Chinese). Luojia Management Review, 1–23.

Wang, X. W., Zhu, G. R., & Zhang, Z. H. (2025). Digital industry agglomeration and new quality productivity of manufacturing (in Chinese). Economic and Management Research, 46(11), 59–77.

Zhang, B. X., Wu, F. X., & Zhuang, L. (n.d.). Data assets, industrial chain linkage and total factor productivity of enterprises (in Chinese). Contemporary Economic Science, 1–17.

Li, Y. L., Peng, D. Y., & Su, Y. (2025). Data elements, supply chain resilience and new quality productivity of enterprises (in Chinese). Enterprise Economy, (11), 17–28.

Zeng, H., Pan, L. Y., & Jiang, Y. M. (n.d.). Digital government, data element governance and new quality productivity improvement (in Chinese). Finance and Economics Review, 1–13.

China Academy of Information and Communications Technology. (2023). Data elements white paper (2022) [R/OL]. China Academy of Information and Communications Technology Collective Intelligence White Paper, No. 202226. Retrieved February 5, 2024, from https://www.caict.ac.cn/kxyj/qwfb/bps/202301/P020230107392254519512.pdf