Study on Data Entry Transaction and Trusted Circulation System Construction Based on Multi-agent Evolutionary Game Equilibrium Model

Compared with traditional production factors,the characteristics of non exclusivity,non competitiveness,and non standardization of data factors determine that a trustworthy on exchange trading system is the key to achieving sustainable deve-lopment of the data factor market.Guiding both parties to enter the market for trading is a breakthrough in solving the current lack of reliable data element circulation system,insufficient data flow,and inactive on exchange trading in China.By constructing an evolutionary game model that includes the government,data providers,data demanders,and conducting policy simulation analysis,it is found that the government’s measures such as increasing the penalty amount for over-the-counter transactions,streng-thening the punishment intensity for over-the-counter transactions,reducing entry transaction costs,and increasing entry transaction profits can help promote the implementation of entry trading behavior by both parties.However,the policy variables such as the subsidy incentive,the entry incentive or the disciplinary intensity of OTC transactions,and the OTC transaction income of the data demander are not significant in promoting the entry transactions of the relevant subjects.The influence of these variables can be ignored in the design of policy mechanism.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-03-01
DOI
https://doi.org/10.11896/jsjkx.240200003
Primary Topic
Nonlocal and gradient elasticity in micro/nano structures
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on Data Entry Transaction and Trusted Circulation System Construction Based on Multi-agent Evolutionary Game Equilibrium Model

SHILAP Revista de lepidopterología
Nonlocal and gradient elasticity in micro/nano structures
article

Study on Data Entry Transaction and Trusted Circulation System Construction Based on Multi-agent Evolutionary Game Equilibrium Model

article en

Abstract

Compared with traditional production factors,the characteristics of non exclusivity,non competitiveness,and non standardization of data factors determine that a trustworthy on exchange trading system is the key to achieving sustainable deve-lopment of the data factor market.Guiding both parties to enter the market for trading is a breakthrough in solving the current lack of reliable data element circulation system,insufficient data flow,and inactive on exchange trading in China.By constructing an evolutionary game model that includes the government,data providers,data demanders,and conducting policy simulation analysis,it is found that the government’s measures such as increasing the penalty amount for over-the-counter transactions,streng-thening the punishment intensity for over-the-counter transactions,reducing entry transaction costs,and increasing entry transaction profits can help promote the implementation of entry trading behavior by both parties.However,the policy variables such as the subsidy incentive,the entry incentive or the disciplinary intensity of OTC transactions,and the OTC transaction income of the data demander are not significant in promoting the entry transactions of the relevant subjects.The influence of these variables can be ignored in the design of policy mechanism.

SHILAP Revista de lepidopterología
Northwestern Polytechnical University (CN)
Openalex Percentile: Top 58%
Nonlocal and gradient elasticity in micro/nano structures
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.