Using the Fuzzy-Set Qualitative Comparative Analysis (fsQCA) Method to Analyze the Factors Affecting the Housing Market: A Case Study of 10 Asian Countries

PARK, JUNHO and YU, JUNGHO (2014) Using the Fuzzy-Set Qualitative Comparative Analysis (fsQCA) Method to Analyze the Factors Affecting the Housing Market: A Case Study of 10 Asian Countries. In: International Conference on Advances in Civil, Structural and Mechanical Engineering - CSME 2014, 26 - 27 August,2014, City University of Hongkong, Hongkong.

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Abstract

A house is an essential human factor. A housing market is formed by the demand and supply of houses. A global housing market fluctuates by each country's policies and situations. Because of the various social, cultural and economic aspects affecting complexity, it is difficult to analyze the factors affecting the housing market. Consequently, in this paper, we analyze several housing market factors using the fuzzy-set Qualitative Comparative Analysis (fsQCA) method. Variables of importance were found to include: the aging population, purchasing power, population growth, house prices, and youth unemployment. In this paper, we determine the issues that need to be addressed to revitalize the housing market the entire world; the results can be used to assist in the development of national policy.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: — fsQCA, Housing Market, fuzzy-set(key words)
Depositing User: Mr. John Steve
Date Deposited: 28 May 2019 09:29
Last Modified: 28 May 2019 09:29
URI: http://publications.theired.org/id/eprint/2895

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