Research on the Integrated Development Pathways of Cross-border E-commerce and Characteristic Industrial Belts Based on an Ecosystem Model

Authors

  • Qiongqiong Zhang

DOI:

https://doi.org/10.62051/ijgem.v10n5.03

Keywords:

Cross-border e-commerce, Characteristic industrial belt, Ecosystem mode, Trade war, Analytic Network Process (ANP)

Abstract

Against the backdrop of the escalating China-US trade war and the accelerated restructuring of global supply chains, the integrated development of cross-border e-commerce and characteristic industrial belts has become an important pathway to respond to external shocks and promote high-quality regional economic development. This study integrates business ecosystem theory and the Analytic Network Process (ANP) to construct a cross-border e-commerce ecosystem model comprising diverse populations, internal factors and external environment. Through Grounded theory and expert interviews, key internal factors and external environment influencing the integration of cross-border e-commerce and characteristic industrial belts have been identified. The ANP model quantifies the impact weights of each factor, revealing that credit risk management and platform services are the most critical driving factors. This study proposes policy recommendations including strengthening credit risk management and compliance capabilities, upgrading platform services and digital supply chains, promoting brand transformation of industrial belts, and deepening industry-education integration to cultivate composite talents. These findings provide theoretical references and decision-making support for regions with high foreign trade dependence to cope with trade frictions and achieve industrial belt transformation and upgrading.

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References

[1] Li F, Yang L H, et al. Research on the Mechanism and Path of Synergetic Development between Cross-border E-commerce and Industrial Cluster in China [J]. International Trade Issues, 2019(5): 89-101.

[2] Yang L H, Zhong Y. Reflections on promoting coordinated development of cross-border electronic commerce and manufacturing clusters in China [J]. Journal of Shenyang University of Technology ( Social Science Edition), 2018, 11(6): 493-498

[3] Wei D Y. Research on Industrial Cluster Development of China's Cross-border E-commerce Comprehensive Pilot Zones [J]. Foreign Economic Relations & Trade, 2018(6): 71-74.

[4] Jin Z H, Li X R. The logic and countermeasures of digital trade leading high-quality development of manufacturing industry—Verification based on the perspective of the Yangtze River Delta [J]. Journal of Chang'an University (Social Science Edition), 2024(6): 87-106.

[5] Moore J F. Predators and prey: A new ecology of competition [J]. Harvard Business Review, 1993, 71(3): 75-86.

[6] Huang L C. Characteristics of regional technological innovation ecosystems [J]. China Science and Technology Forum, 2003(1): 23-26.

[7] Hao Z, He G, Zhu W Z, et al. Innovation incentives and monopoly regulation in the digital platform economy: From the perspective of technological ecosystem co-evolution [J]. Modern Management Science, 2021, 000(007): 94-107. (in Chinese)

[8] Li J B, Zhang J, Qu F. Research on the construction and development path of cross-border e-commerce ecosystem [J]. Science and Technology Management Research, 2019, 39(23): 207-212.

[9] Saaty T L. Structures in decision making: On the subjective geometry of hierarchies and networks [J]. European Journal of Operational Research, 2009, 199(3): 867-872.

[10] Zhang J N, Qi Z Q, Li L, et al. Research on credit influencing factors of safety evaluation institutions based on DEMATEL-ANP [J]. Journal of Gansu Sciences, 2025, 37(1): 146-152.

[11] Luo M J, Gao Y F, Wu H J. Evaluation Model of Packaging Waste Recycling Based on ANP [J]. Packaging Engineering, 2025(15):260-268.

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Published

29-05-2026

Issue

Section

Articles

How to Cite

Zhang, Q. (2026). Research on the Integrated Development Pathways of Cross-border E-commerce and Characteristic Industrial Belts Based on an Ecosystem Model. International Journal of Global Economics and Management, 10(5), 17-25. https://doi.org/10.62051/ijgem.v10n5.03