Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)

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Research on the Digital Transformation Model of Contract Farming Supply Chain Considering the Uncertainty of Technical Efficiency

Authors
Yihua Qin1, *
1SILC Business School, Shanghai University, Shanghai, China
*Corresponding author. Email: qinyihua@shu.edu.cn
Corresponding Author
Yihua Qin
Available Online 20 April 2026.
DOI
10.2991/978-94-6239-640-1_21How to use a DOI?
Keywords
Agriculture Supply Chain; Digital Transformation; Contract design
Abstract

With the rapid advancement of big data, AI, and IoT, smart agriculture is reshaping contract farming supply chains. Considering technology efficiency uncertainty and sales model heterogeneity, this study builds a two-player Stackelberg game model for the “enterprise + agricultural cooperative” supply chain to explore the cooperative’s digital transformation technology adoption strategies and the selection mechanism between its independent technology purchase and enterprise technical assistance models. Results show an inverted U-shaped relationship between the cooperative’s profit and revenue-sharing ratio: extremely low or high ratios favor independent technology purchase for digital transformation, while moderate ratios prefer enterprise technical assistance. Technically weak cooperatives should choose the assistance model even with low revenue-sharing ratios, as they can leverage enterprises’ high-level technology investment to optimize revenue. This study provides guidance for the digital transformation of cooperatives and the contract design of enterprises.

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 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
20 April 2026
ISBN
978-94-6239-640-1
ISSN
2352-5428
DOI
10.2991/978-94-6239-640-1_21How 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  - Yihua Qin
PY  - 2026
DA  - 2026/04/20
TI  - Research on the Digital Transformation Model of Contract Farming Supply Chain Considering the Uncertainty of Technical Efficiency
BT  - Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)
PB  - Atlantis Press
SP  - 231
EP  - 240
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-640-1_21
DO  - 10.2991/978-94-6239-640-1_21
ID  - Qin2026
ER  -