Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)

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The Promotion Effect of Data Factor Allocation Level on Cross-Border E-commerce Development: Evidence from China

Authors
Zijing He1, Wenjie Yao2, Shizhu Dong1, *
1Guangdong University of Science and Technology, Dongguan, Guangdong, China
2Guangdong Ocean University, Zhanjiang, Guangdong, China
*Corresponding author. Email: pazza521@126.com
Corresponding Author
Shizhu Dong
Available Online 28 May 2026.
DOI
10.2991/978-94-6239-689-0_11How to use a DOI?
Keywords
Data Factor Allocation; Cross-Border E-Commerce Development; Industrial Structure Upgrading; R&D Intensity; Fixed Effects Model
Abstract

This study examines how data factor allocation promotes cross-border e-commerce development in China. Based on provincial panel data (2012–2022), we employ a two-way fixed effects model to analyze this relationship. Results show that enhancing data factor allocation significantly boosts cross-border e-commerce, a finding robust to alternative measures, lagged variables, and winsorization. The promotion operates through two indirect channels: industrial structure upgrading and increased R&D intensity. Heterogeneity analyses reveal stronger effects in regions with higher data allocation levels and a regional gradient (Eastern > Western > Northeastern > Central). The findings underscore data factors as a key driver for high-quality e-commerce growth and offer targeted policy implications.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
28 May 2026
ISBN
978-94-6239-689-0
ISSN
2352-5428
DOI
10.2991/978-94-6239-689-0_11How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zijing He
AU  - Wenjie Yao
AU  - Shizhu Dong
PY  - 2026
DA  - 2026/05/28
TI  - The Promotion Effect of Data Factor Allocation Level on Cross-Border E-commerce Development: Evidence from China
BT  - Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)
PB  - Atlantis Press
SP  - 115
EP  - 126
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-689-0_11
DO  - 10.2991/978-94-6239-689-0_11
ID  - He2026
ER  -