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Analysing the Real Estate Market in Almaty City: A System Dynamics Approach

https://doi.org/10.47703/ejebs.v2i67.301

Abstract

The real estate market is a complex system that is influenced by a variety of factors. Understanding the dynamics of this system is crucial for investors, developers, and policymakers who want to make informed decisions. The Massachusetts Institute of Technology (MIT) has developed a powerful tool for analyzing complex systems called System Dynamics. This paper will provide an overview of System Dynamics and MIT analysis, followed by an overview of the real estate market. Finally, we will explore how System Dynamics can be used to analyze the real estate market and make predictions about its future trends. Combining these three supporting points will give us a comprehensive understanding of the real estate market and how it can be analysed using System Dynamic. This article employs the system dynamics modelling approach to shed light on the specific real estate market dynamics in Almaty сity. By utilising this methodology, we aim to provide a comprehensive analysis of the real estate market in Almaty, understanding its unique characteristics and uncovering the drivers of price volatility. This article seeks to contribute to the body of knowledge on real estate market analysis by utilising system dynamics modelling to examine the dynamics of the real estate market in Almaty. By leveraging the advantages of this progressive method, we seek to uncover the specific drivers of price volatility and provide valuable insights for policymakers, investors, and other stakeholders. Through this research, we aim to enhance the understanding of the real estate market in Almaty and offer a foundation for evidence-based decision-making in the region.

 

About the Authors

Assel Jumasseitova
Kazakh British Technical University, Almaty
Kazakhstan

PhD in Management, Cand. Sc. (Econ.), Professor, Email: a.dzhumaseitova@kbtu.kz

 


Aliya Mussaeva
Kazakh British Technical University, Almaty
Kazakhstan

Audit Assistant Deloitte, BS Finance, Email: a_musaeva@kbtu.kz

 


Maxat Kabashev
Kazakh British Technical University, Almaty
Kazakhstan

PhD, Associate Professor, Email: m.kabashev@kbtu.kz

 


References

1. Albanesi, S., DeGiorgi, G., & Nosal, J. (2022). Credit growth and the financial crisis: A new narrative. Journal of Monetary Economics, 132, 118-139. https://doi.org/10.1016/j.jmoneco.2022.09.001

2. Antolin-Diaz, J., Drechsel, T., & Petrella, I. (2017). Tracking the slowdown in long-run GDP growth. Review of Economics and Statistics, 99(2), 343-356. https://doi.org/10.1162/REST_a_00646

3. Ali, A. S., & Chua, S. J. L. (2023). Factors influencing buyers’ and investors’ decisions in acquiring property in hillside areas. Ain Shams Engineering Journal, 14(1), 101827. https://doi.org/10.1016/j.asej.2022.101827

4. Baryla, E., & Ztanpano, L. (1995). Buyer search duration in the residential real estate market: The role of the real estate agent. Journal of Real Estate Research, 10(1), 1-13.

5. Cumbo, R., Baroni, A., Ricciardi, A., & Corvaglia, S. (2022). Design allowables of composite laminates: A review. Journal of Composite Materials, 56(23), 3617-3634. https://doi.org/10.1177/00219983221117216

6. Deng, L., Wang, S., Wen, Y., & Li, Y. (2022). incorporating ‘mortgage-loan’contracts into an agricultural supply chain model under stochastic output. Mathematics, 10(1), 85. https://doi.org/10.3390/math10010085

7. Duca, J. V., Muellbauer, J., & Murphy, A. (2021). What drives house price cycles? International experience and policy issues. Journal of Economic Literature, 59(3), 773-864. https://doi.org/10.1257/jel.20201325

8. Forrester, J. W., Mass, N. J., & Ryan, C. J. (1976). Report to the Club of Rome on system dynamics and MIT. Technological Forecasting and Social Change, 8(3), 225-286.

9. Foster, P. J., Buhrmann, R., Quigley, H. A., & Johnson, G. J. (2002). The definition and classification of glaucoma in prevalence surveys. British Journal of Ophthalmology, 86(2), 238-242. https://doi.org/10.1136/bjo.86.2.238

10. Girdzijauskas, S., Streimikiene, D., Griesiene, I., Mikalauskiene, A., & Kyriakopoulos, G. L. (2022). New approach to inflation phenomena to ensure sustainable economic growth. Sustainability, 14(1), 518. https://doi.org/10.3390/su14010518

11. Malakoane, B., Heunis, J. C., Chikobvu, P., Kigozi, N. G., & Kruger, W. H. (2020). Public health system challenges in the Free State, South Africa: a situation appraisal to inform health system strengthening. BMC Health Services Research, 20, 1-14. https://doi.org/10.1186/s12913-019-4862-y

12. Muellbauer, J. (2022). Real Estate Booms and Busts: Implications for Monetary and Macroprudential Policy in Europe. In ECB Forum on Central Banking (Vol. 29).

13. Norris, M., & Byrne, M. (2018). Housing market (in) stability and social rented housing: comparing Austria and Ireland during the global financial crisis. Journal of housing and the built environment, 33, 227-245. https://doi.org/10.1007/s10901-018-9595-4

14. Olamide, E., Maredza, A., & Ogujiuba, K. (2022). Monetary policy, external shocks and economic growth dynamics in East Africa: An S-VAR model. Sustainability, 14(6), 3490.

15. Sitorus, E. V. B., Sormin, G. C., & Muda, I. (2022). The role of home ownership credit in the concept of time value for money and the effect of banking credit costs in pandemic era. International Journal of Health Sciences, 6(S1), 2685–2692. https://doi.org/10.53730/ijhs.v6nS1.5192

16. Uriona, M., & Grobbelaar, S. S. (2019). Innovation system policy analysis through system dynamics modelling: A systematic review. Science and Public Policy, 46(1), 28-44. https://doi.org/10.1093/scipol/scy034


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For citations:


Jumasseitova A., Mussaeva A., Kabashev M. Analysing the Real Estate Market in Almaty City: A System Dynamics Approach. Eurasian Journal of Economic and Business Studies. 2023;67(2):158–171. https://doi.org/10.47703/ejebs.v2i67.301

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ISSN 2789-8253 (Print)
ISSN 2789-8261 (Online)