Information‐sharing strategies for geographical indication agricultural products governance in the context of digital technology

Abstract The development of Geographical Indication Agricultural Products (GIAP) plays a critical role in promoting rural revitalization. However, due to information asymmetry among stakeholders, producers often tend to pursue opportunistic gains by “free‐riding,” such as producing low‐quality agricultural products, which severely damages the reputation of GIAP. By improving information provision, digital technologies offer a means to eliminate this information asymmetry, facilitate stakeholders' sharing of GIAP production and quality information, and ultimately make GIAP governance possible. Based on this, the paper first discusses the digital information sharing mechanisms of GIAP under different collaboration models. Next, we develop a differential game model based on information sharing. Finally, we compare the differences in information sharing efforts and benefits among various stakeholders. Results show that (i) under the context of digital technology, GIAP's information‐sharing behaviors can be categorized into three modes: decentralized, subsidy, and centralized; (ii) as the cooperation model progresses, the information‐sharing efforts of the government, industry associations, and enterprises increase to varying degrees within a specific range of coefficients; (iii) in the enhancement pathways for information sharing among the three parties, there exists a Pareto improvement path that yields benefits; and (iv) the “consortium” model under centralized decision‐making can achieve dual maximization of information sharing efforts and benefits for all parties involved through the Pareto improvement path.

Authors

Institutions

Publication Details

Journal
International Transactions in Operational Research
Published
2026-01-20
DOI
https://doi.org/10.1111/itor.70163
Primary Topic
Organic Food and Agriculture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Information‐sharing strategies for geographical indication agricultural products governance in the context of digital technology

Guangyuan He
International Transactions in Operational Research
Organic Food and Agriculture
article

Information‐sharing strategies for geographical indication agricultural products governance in the context of digital technology

Guangyuan He
article en

Abstract

Abstract The development of Geographical Indication Agricultural Products (GIAP) plays a critical role in promoting rural revitalization. However, due to information asymmetry among stakeholders, producers often tend to pursue opportunistic gains by “free‐riding,” such as producing low‐quality agricultural products, which severely damages the reputation of GIAP. By improving information provision, digital technologies offer a means to eliminate this information asymmetry, facilitate stakeholders' sharing of GIAP production and quality information, and ultimately make GIAP governance possible. Based on this, the paper first discusses the digital information sharing mechanisms of GIAP under different collaboration models. Next, we develop a differential game model based on information sharing. Finally, we compare the differences in information sharing efforts and benefits among various stakeholders. Results show that (i) under the context of digital technology, GIAP's information‐sharing behaviors can be categorized into three modes: decentralized, subsidy, and centralized; (ii) as the cooperation model progresses, the information‐sharing efforts of the government, industry associations, and enterprises increase to varying degrees within a specific range of coefficients; (iii) in the enhancement pathways for information sharing among the three parties, there exists a Pareto improvement path that yields benefits; and (iv) the “consortium” model under centralized decision‐making can achieve dual maximization of information sharing efforts and benefits for all parties involved through the Pareto improvement path.

International Transactions in Operational Research
Hunan Institute of Engineering (CN), Xiangtan University (CN)
Openalex Percentile: Top 83%
Organic Food and Agriculture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.