An Agent-Based Model Study on Subsidy Fraud Risk in Technological Transition

Hao Yang, Xifeng Wu, Yu Chen

2023

Abstract

In modern society, government subsidy policies play a pivotal role in developing new technologies. Although subsidy policies have a long history, the resulting subsidy fraud problem consumes social resources and hinders the development of new technologies. In this paper, we attempt to derive the factors affecting the risk of performing the subsidy fraud based on a validated agent-based model for technological transition. We first review the literature on subsidies and the definition of subsidy policies. We perform a mathematical analysis of the agent-based model and calculate the critical value for subsidy rates, which may cause a dramatic change in the probability of subsidy fraud to occur. We conducted a series of numerical experiments to show the validity of the critical subsidy rates. And we also correlates and classifies three scenarios between the situation of technology diffusion and development and the risk of subsidy fraud. Finally, the causal factors of subsidy fraud are examined by analyzing the various stakeholders involved in the subsidy fraud in the actual situation.

Paper Citation

in Harvard Style

Yang H., Wu X. and Chen Y. (2023). An Agent-Based Model Study on Subsidy Fraud Risk in Technological Transition. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-623-1, pages 412-421. DOI: 10.5220/0011801200003393

in Bibtex Style

@conference{icaart23,
author={Hao Yang and Xifeng Wu and Yu Chen},
title={An Agent-Based Model Study on Subsidy Fraud Risk in Technological Transition},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2023},
pages={412-421},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011801200003393},
isbn={978-989-758-623-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - An Agent-Based Model Study on Subsidy Fraud Risk in Technological Transition
SN - 978-989-758-623-1
AU - Yang H.
AU - Wu X.
AU - Chen Y.
PY - 2023
SP - 412
EP - 421
DO - 10.5220/0011801200003393