A System Dynamics Model for Industrial Investment in the Housing Sector Considering Monetary and Non-Monetary Economic Variables

his study aims to present a comprehensive model for analyzing industrial investment in the housing sector from 2005-2023. The proposed model, developed using system dynamics methodology, incorporates a range of economic factors, including monetary variables (such as inflation, interest rates, and ex...

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Main Authors: Neda Farkoush, Arash Hadizadeh, Sadegh Abedi
Format: Article
Language:fas
Published: University of Isfahan 2025-03-01
Series:اقتصاد شهری
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Online Access:https://ue.ui.ac.ir/article_29644_6b65fb343f15d1c961683fed5e92a620.pdf
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author Neda Farkoush
Arash Hadizadeh
Sadegh Abedi
author_facet Neda Farkoush
Arash Hadizadeh
Sadegh Abedi
author_sort Neda Farkoush
collection DOAJ
description his study aims to present a comprehensive model for analyzing industrial investment in the housing sector from 2005-2023. The proposed model, developed using system dynamics methodology, incorporates a range of economic factors, including monetary variables (such as inflation, interest rates, and exchange rate fluctuations) and non-monetary variables (such as population growth, urbanization, and migration), along with fiscal, regulatory, and technological policies. The model employs reinforcing and balancing loops to examine the complex interactions among these variables. The results indicate that exchange rate fluctuations and inflation are major deterrents to investment. At the same time, government financial support and the adoption of advanced technologies can enhance productivity and help balance supply and demand. Furthermore, technological advancements play a critical role in reducing construction costs and accelerating project completion. The innovation of this study lies in the development of a dynamic model capable of simulating the long-term behavior of key variables and providing actionable solutions to reduce market volatility and improve sustainability in the housing sector. The findings offer valuable insights for policymakers and planners in making informed decisions to manage investment in the housing industry effectively.
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issn 2588-4867
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publisher University of Isfahan
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series اقتصاد شهری
spelling doaj-art-8ba37761f2de450fa0b7bbd0f80152f32025-08-20T02:46:58ZfasUniversity of Isfahanاقتصاد شهری2588-48672025-03-011019311610.22108/ue.2025.144611.131129644A System Dynamics Model for Industrial Investment in the Housing Sector Considering Monetary and Non-Monetary Economic VariablesNeda Farkoush0Arash Hadizadeh1Sadegh Abedi2PhD student Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, IranAssistant Professor Department of Economics, Qazvin Branch, Islamic Azad University, Qazvin, IranAssistant Professor Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iranhis study aims to present a comprehensive model for analyzing industrial investment in the housing sector from 2005-2023. The proposed model, developed using system dynamics methodology, incorporates a range of economic factors, including monetary variables (such as inflation, interest rates, and exchange rate fluctuations) and non-monetary variables (such as population growth, urbanization, and migration), along with fiscal, regulatory, and technological policies. The model employs reinforcing and balancing loops to examine the complex interactions among these variables. The results indicate that exchange rate fluctuations and inflation are major deterrents to investment. At the same time, government financial support and the adoption of advanced technologies can enhance productivity and help balance supply and demand. Furthermore, technological advancements play a critical role in reducing construction costs and accelerating project completion. The innovation of this study lies in the development of a dynamic model capable of simulating the long-term behavior of key variables and providing actionable solutions to reduce market volatility and improve sustainability in the housing sector. The findings offer valuable insights for policymakers and planners in making informed decisions to manage investment in the housing industry effectively.https://ue.ui.ac.ir/article_29644_6b65fb343f15d1c961683fed5e92a620.pdfindustrial investment in the housing sectorsystem dynamics approacheconomic and social factors in housingexchange rate and inflation volatilitymonetary and fiscal policies in housing
spellingShingle Neda Farkoush
Arash Hadizadeh
Sadegh Abedi
A System Dynamics Model for Industrial Investment in the Housing Sector Considering Monetary and Non-Monetary Economic Variables
اقتصاد شهری
industrial investment in the housing sector
system dynamics approach
economic and social factors in housing
exchange rate and inflation volatility
monetary and fiscal policies in housing
title A System Dynamics Model for Industrial Investment in the Housing Sector Considering Monetary and Non-Monetary Economic Variables
title_full A System Dynamics Model for Industrial Investment in the Housing Sector Considering Monetary and Non-Monetary Economic Variables
title_fullStr A System Dynamics Model for Industrial Investment in the Housing Sector Considering Monetary and Non-Monetary Economic Variables
title_full_unstemmed A System Dynamics Model for Industrial Investment in the Housing Sector Considering Monetary and Non-Monetary Economic Variables
title_short A System Dynamics Model for Industrial Investment in the Housing Sector Considering Monetary and Non-Monetary Economic Variables
title_sort system dynamics model for industrial investment in the housing sector considering monetary and non monetary economic variables
topic industrial investment in the housing sector
system dynamics approach
economic and social factors in housing
exchange rate and inflation volatility
monetary and fiscal policies in housing
url https://ue.ui.ac.ir/article_29644_6b65fb343f15d1c961683fed5e92a620.pdf
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AT sadeghabedi asystemdynamicsmodelforindustrialinvestmentinthehousingsectorconsideringmonetaryandnonmonetaryeconomicvariables
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