Title: Learning from social housing policies - key decision factor analysis of Finish, Chinese and Thai models
Authors: Teppo Forss; Rayko Toshev; Tzong-Ru Lee; Kridsada Fankham-ai; Kulwadee Bumrungkhet
Addresses: Department of Production, Faculty of Technology, University of Vaasa, Yliopistonranta 10, P.O. Box 700, FI-65101 Vaasa, Finland ' Department of Production, Faculty of Technology, University of Vaasa, Yliopistonranta 10, P.O. Box 700, FI-65101 Vaasa, Finland ' National Chung Hsing University, 250, Kuo Kuang Road, Taichung, Taiwan ' Center of Advanced Studies in Industrial Technology and Faculty of Engineering, Kasetsart University, Bangkok, 10900, Thailand ' Center of Advanced Studies in Industrial Technology and Faculty of Engineering, Kasetsart University, Bangkok, 10900, Thailand
Abstract: This work compares Chinese, Thai and Finnish social housing models in the context of their economic structure. It explores the variances in decision-making factors for affordable housing policies related to macroeconomic indicators such as urbanisation level, population growth, gross domestic product and human development index. Statistical analysis of the last 50 years economic development is presented. Revising these three countries models highlights the need for dynamic revaluation of decision factors priorities in time of economic turbulence. Policy makers and project developers can learn from data analysis to reorganise proactively social housing goals to face the uncertainties in policy development stages.
Keywords: social housing policies; analytical hierarchy process; AHP; innovation; China; Thailand; Finland; social housing models; economic structure; decision making; affordable housing; urbanisation level; population growth; gross domestic product; GDP; human development index; HDI; data analysis; uncertainties.
International Journal of Innovation and Learning, 2014 Vol.15 No.3, pp.211 - 226
Published online: 21 Jun 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article