Taxation and Housing on Population Dynamics: Multi-Agent Simulations

Nanjun Chen; Hiu-Man Wong; Jixiang Yu; Lingkuan Meng; Ka Chun Wong

doi:10.1109/ISCMI59957.2023.10458551

Taxation and Housing on Population Dynamics: Multi-Agent Simulations

Nanjun Chen, Hiu-Man Wong, Jixiang Yu, Lingkuan Meng, Ka Chun Wong^*

^*Corresponding author for this work

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

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

Original language	English
Title of host publication	2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI)
Publisher	IEEE
Pages	136-140
ISBN (Electronic)	979-8-3503-5937-4
DOIs	https://doi.org/10.1109/ISCMI59957.2023.10458551
Publication status	Published - 25 Nov 2023
Event	2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI) - Mexico City, Mexico Duration: 25 Nov 2023 → 26 Nov 2023 https://www.iscmi.us/ISCMI2023.html

Conference

Conference	2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI)
Abbreviated title	ISCMI 2023
Place	Mexico
City	Mexico City
Period	25/11/23 → 26/11/23
Internet address	https://www.iscmi.us/ISCMI2023.html

Research Keywords

multi-agent simulation
agent-based simulations
computational social science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ISCMI59957.2023.10458551

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title = "Taxation and Housing on Population Dynamics: Multi-Agent Simulations",

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.{\textcopyright} 2023 IEEE",

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author = "Nanjun Chen and Hiu-Man Wong and Jixiang Yu and Lingkuan Meng and Wong, {Ka Chun}",

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note = "2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI), ISCMI 2023 ; Conference date: 25-11-2023 Through 26-11-2023",

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Chen, N, Wong, H-M, Yu, J , Meng, L & Wong, KC 2023, Taxation and Housing on Population Dynamics: Multi-Agent Simulations. in 2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI). IEEE, pp. 136-140, 2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI), Mexico City, Mexico, 25/11/23. https://doi.org/10.1109/ISCMI59957.2023.10458551

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). IEEE, 2023. p. 136-140.

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

TY - GEN

T1 - Taxation and Housing on Population Dynamics

T2 - 2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI)

AU - Chen, Nanjun

AU - Wong, Hiu-Man

AU - Yu, Jixiang

AU - Meng, Lingkuan

AU - Wong, Ka Chun

PY - 2023/11/25

Y1 - 2023/11/25

N2 - 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

AB - 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

KW - multi-agent simulation

KW - agent-based simulations

KW - computational social science

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DO - 10.1109/ISCMI59957.2023.10458551

M3 - RGC 32 - Refereed conference paper (with host publication)

SP - 136

EP - 140

BT - 2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI)

PB - IEEE

Y2 - 25 November 2023 through 26 November 2023

ER -

Taxation and Housing on Population Dynamics: Multi-Agent Simulations

Abstract

Conference

Research Keywords

UN SDGs

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