neda farkoush

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.

This research examines the impact of key monetary and non-monetary variables on industrial investment in Iran's housing sector using the fuzzy Delphi method. The primary goal of this study is to identify and prioritize factors that significantly influence the attraction of industrial investment in the housing sector. To achieve this, a questionnaire containing 15 indicators affecting the investment was prepared, and expert opinions were collected through three rounds of Delphi analysis. The results showed that among the monetary factors, inflation rate, exchange rate fluctuations, land price growth, and the growth rate of construction material prices have the greatest impact on costs and profitability of investment in the housing sector. Additionally, among the non-monetary factors, housing demand and supply, population growth, regulatory policies, and economic sanctions were identified as the main factors influencing investment decisions. The analysis suggests that policymakers should focus on strengthening monetary policies, improving access to financial resources, and reducing exchange rate fluctuations. Moreover, facilitating administrative regulations and enhancing regulatory policies are essential for attracting more industrial investments in the housing sector. This research emphasizes that a combination of monetary and non-monetary policies can create the necessary conditions for the development of the housing sector and contribute to the improvement of Iran's economic growth. The proposed recommendations, based on a thorough analysis of key factors, provide useful a tool for economic decision-makers to enhance the investment climate in the housing sector.