Taxation and Housing on Population Dynamics : Multi-Agent Simulations

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Detail(s)

Original languageEnglish
Title of host publication2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI)
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages136-140
ISBN (electronic)979-8-3503-5937-4
Publication statusPublished - 25 Nov 2023

Conference

Title2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI)
Location
PlaceMexico
CityMexico City
Period25 - 26 November 2023

Abstract

Around the world, we can see diverse yet feasible human living styles under different conditions. The related studies can form the basis for fostering human living quality. In this study, we construct a stable living population and examine the consequences under different external capital interventions (i.e. income tax rates, inheritance tax rates, and housing needs). Based on the multi-agent simulation results across 21600 runs under the fully factorial parameter settings (i.e. 216 parameter settings), we can observe diverse yet interesting phenomena with insights into population dynamics in terms of population size, population wealth, and Gini index.

© 2023 IEEE

Research Area(s)

  • multi-agent simulation, agent-based simulations, computational social science

Citation Format(s)

Taxation and Housing on Population Dynamics: Multi-Agent Simulations. / Chen, Nanjun; Wong, Hiu-Man; Yu, Jixiang et al.
2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI). Institute of Electrical and Electronics Engineers, Inc., 2023. p. 136-140.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review