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Study on urban housing consumption selection based on Logit model
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作者 Zhaoyun Li 《International English Education Research》 2015年第8期62-64,共3页
Housing problem is the problem of livelihood. The problem of housing consumer behavior has become one of the main concern of the Government after more than 10 years the rapid development of real estate. This article i... Housing problem is the problem of livelihood. The problem of housing consumer behavior has become one of the main concern of the Government after more than 10 years the rapid development of real estate. This article is based on the logit model, integrated family net worth, family income, labor factors and so on. Results showed that housing in Shanghai have household net worth is the most critical, followed by labour income and labour force. 展开更多
关键词 housing consumption logit model
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Population Aging and Housing Consumption:A Nonlinear Relationship in China 被引量:5
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作者 Meng Li Kunrong Shen Jing Qiu 《China & World Economy》 SCIE 2013年第5期60-77,共18页
Mass migration of rural workers to cities will inevitably increase urban housing demand. However, the scale of vacant urban housing will increase in future as a result of the population aging and the rising number of ... Mass migration of rural workers to cities will inevitably increase urban housing demand. However, the scale of vacant urban housing will increase in future as a result of the population aging and the rising number of empty nesters. Therefore, demographic transition may not only increase housing demand, but also increase housing supply. Using an overlapping generations model, the present paper investigates' the impact of demographic transition on housing consumption. We find that there is a nonlinear relationship between the elderly dependency ratio and housing consumption in China. With the deepening of population aging, housing consumption will increase; when the elderly dependency ratio reaches a turning point, housing consumption will decrease. The turning point of the nonlinear curve also depends on population mobility. A greater degree of population mobility will result in a delayed turning point. Furthermore, the turning point of the nonlinear curve will emerge when China's elderly dependency ratio reaches a value of 32 percent in 2025. This means that over the next decade, China should continue to increase the level of housing supply, 展开更多
关键词 housing consumption inverted U-shaped curve population aging
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