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Authors: Hao Yang ; Xifeng Wu and Yu Chen

Affiliation: SCS Lab, Department of Human and Engineered Environment, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8563, Japan

Keyword(s): Agent-Based Model, Technological Transition, Subsidy Fraud, Subsidy Policy.

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 ex amined by analyzing the various stakeholders involved in the subsidy fraud in the actual situation. (More)

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Paper citation in several formats:
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; ISSN 2184-433X, SciTePress, pages 412-421. DOI: 10.5220/0011801200003393

@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},
issn={2184-433X},
}

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
IS - 2184-433X
AU - Yang, H.
AU - Wu, X.
AU - Chen, Y.
PY - 2023
SP - 412
EP - 421
DO - 10.5220/0011801200003393
PB - SciTePress