Using system dynamics modelling to understand behaviour in UK commercial property markets

Author:

Trevillion EdwardORCID

Abstract

PurposeThe purpose of this paper is to outline the benefits of using system dynamics modelling as a research tool to understand the dynamics of commercial property markets in the UK and their long-term behaviour. It highlights areas for future work.Design/methodology/approachThis is a concept paper that outlines a simple systems model of rental change in UK commercial property markets as a way of illustrating how a systems approach can be used to describe and model the market. The model concentrates on the user market and offers a view of market operation, according to which development activity is initiated by demand (linked to economic growth) and to which supply responds by producing development.FindingsThe model demonstrates how a systems approach can be used to model the impact of a wide range of market variables on rental growth. The approach allows non-linear modelling of the complex relationships and behavioural factors that are difficult to include in existing econometric models of the market. It highlights where existing knowledge is deficient, especially with regard to price elasticity of demand, the relationship between economic activity and take up, the potential impact of redevelopment on the supply of new property and rental growth and response times of various parts of the market development process to market signals. It outlines where further research is needed to incorporate real market data.Originality/valueDespite the wide application of the systems theory to business and other related areas, its use in commercial property research has been limited and has not gained much traction as a research tool. The work represents one of a very few studies applying the systems theory to the UK commercial property market.

Publisher

Emerald

Subject

Economics and Econometrics,Finance,Accounting

Reference35 articles.

1. Housing market bubbles and urban resilience: applying systems theory;Cities,2020

2. Committee on the global financial system;CGFS,2020

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