Abstract"Depopulation" is one of the emerging phenomena in the new millennium. The trend could derive from low fertility rate and result in consequences such as labor shortage and population aging that most developed countries encountered. The "depopulation" phenomenon will change population structure, and will not only impact on national economic performance and competitiveness, but also on the land use and urban development. The general definition of "depopulation" could be defined as the total fertility rate declines and results in juvenile population are declining constantly. According to United Nations, in the past three decades, the world average fertility rate (AFR) of women has been dropped 48 percent from 1965 to 2010. According to MOI statistics, the AFR of women in Taiwan has dropped dramatically from 7.04 in 1951 to less than 2.1 in 1985 below the "replacement level". Furthermore, in 2010, the AFR even dropped to less than 0.895 Taiwan became the lowest fertility rate country in the world.
The household in urban area are more likely to be the potential cohort of lacking interests in giving birth. Their attitudes towards childbirth could influence the urban population structure and family composition further impact on their housing preference. There were very few previous studies discussing the potential influences between depopulation and the household housing preference. Therefore, in this study, we assume that the intention of fertility is a relatively important factor for the household housing preference in urban area. This study intends to understand their fertility intention and the relationship with their housing preference in order to further observe how depopulation affects urban development.
The results of this study summarized in the following:
1. This study classified the depopulation generations in Taiwan into four household types, namely “married with no children households” “married with only one-child households”,“unmarried single households” and “married with more than two children households” . The questionnaire survey finding indicate that there are significant differences at household income, age, education level and the ownership rate between the four household types. Hence, their housing preferences should be different.
2. There are significant differences between four types on the nine variables. They are "living space", "open space", "school district", "public parking spaces", "landscape perspective", "community public facilities", " private parking spaces
|Date of Award||2012|
|Supervisor||Tzu-Yuan Chao (Supervisor)|