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Authors: Hao Yang 1 ; Xifeng Wu 1 ; Sijia Zhao 2 ; Hatef Madani 3 ; Jin Chen 4 and Yu Chen 1

Affiliations: 1 SCS Lab, Department of Human and Engineered Environment, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8563, Japan ; 2 Faculty of Economic and Management, East China Normal University, Shanghai 200062, China ; 3 Department of Energy Technology, KTH Royal Institute of Technology, SE-10044 Stockholm, Sweden ; 4 School of Economics and Management, Tsinghua University, Beijing 100084, China

Keyword(s): Agent-based Model, Technological Transition, Subsidy Fraud, Subsidy Policy, Socio Technical Transitions, Complex System.

Abstract: The evolution of a society is inextricably linked to technological transition, which is based on both innovation and dissemination of technologies. To protect the vulnerable new generation of technology, government subsidies are one of the most common and effective tools. However, not all subsidy policies can lead to a healthy development of market shares. Subsidy fraud is one of the most problematic issues that can arise under an imperfect system. This paper identifies an interesting subsidy fraud like phenomenon via a validated agent-based model. After analysing the mechanism of the transition of technology in the model, we drive the condition upon which subsidy fraud could occur.

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Paper citation in several formats:
Yang, H.; Wu, X.; Zhao, S.; Madani, H.; Chen, J. and Chen, Y. (2022). An Agent-based Model Study on Subsidy Fraud in Technological Transition. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-547-0; ISSN 2184-433X, SciTePress, pages 353-358. DOI: 10.5220/0010887300003116

@conference{icaart22,
author={Hao Yang. and Xifeng Wu. and Sijia Zhao. and Hatef Madani. and Jin Chen. and Yu Chen.},
title={An Agent-based Model Study on Subsidy Fraud in Technological Transition},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2022},
pages={353-358},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010887300003116},
isbn={978-989-758-547-0},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - An Agent-based Model Study on Subsidy Fraud in Technological Transition
SN - 978-989-758-547-0
IS - 2184-433X
AU - Yang, H.
AU - Wu, X.
AU - Zhao, S.
AU - Madani, H.
AU - Chen, J.
AU - Chen, Y.
PY - 2022
SP - 353
EP - 358
DO - 10.5220/0010887300003116
PB - SciTePress