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An Agent-based Model Study on Subsidy Fraud in Technological Transition
Univ Tokyo, Grad Sch Frontier Sci, Dept Human & Engn Environm, SCS Lab, Chiba 2778563, Japan..
Univ Tokyo, Grad Sch Frontier Sci, Dept Human & Engn Environm, SCS Lab, Chiba 2778563, Japan..
East China Normal Univ, Fac Econ & Management, Shanghai 200062, Peoples R China..
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Applied Thermodynamics and Refrigeration.ORCID iD: 0000-0001-7354-6643
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2022 (English)In: ICAART: Proceedings Of The 14Th International Conference On Agents And Artificial Intelligence - Vol 1 / [ed] Rocha, AP Steels, L VandenHerik, J, INSTICC , 2022, p. 353-358Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
INSTICC , 2022. p. 353-358
Series
ICAART, ISSN 2184-433X
Keywords [en]
Agent-based Model, Technological Transition, Subsidy Fraud, Subsidy Policy, Socio Technical Transitions, Complex System
National Category
Economics
Identifiers
URN: urn:nbn:se:kth:diva-311000DOI: 10.5220/0010887300003116ISI: 000774749000038Scopus ID: 2-s2.0-85180773589OAI: oai:DiVA.org:kth-311000DiVA, id: diva2:1653015
Conference
14th International Conference on Agents and Artificial Intelligence (ICAART), FEB 03-05, 2022, ELECTR NETWORK
Note

QC 20220420

Part of proceedings ISBN 978-989-758-547-0

Available from: 2022-04-20 Created: 2022-04-20 Last updated: 2024-01-10Bibliographically approved

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Madani Larijani, Hatef

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