城镇化进程中山西省商品住宅价格分异研究

发布时间：2018-03-02 13:13

本文选题：城镇化　切入点：商品住宅价格　出处：《山西财经大学》2017年硕士论文　论文类型：学位论文

【摘要】：近二十年来,山西省房地产市场得到了较快发展,但是不同类型城市的商品住宅价格差别显著,发生了明显的商品住宅价格分异现象。这一现象的发生与城镇化的快速发展有着密切的关系。因此,有必要基于城镇化视角来分析山西省商品住宅价格分异的问题,通过正确认识城镇化对商品住宅价格的影响,对山西省不同地域进行分类,从而判断当前商品住宅价格与城镇化进程的协调程度,对促进山西省住房市场健康发展具有较大实践意义。本文以山西省11个地级市和数据可获取的56个县(市、区)为研究对象,对它们各自的标准差、变异系数和分异指数进行计算发现这两个层面的商品住宅价格都产生了分异,其中空间分异状况更为突出。通过对2006-2014年山西省地级市的商品住宅价格与人口、经济、空间城镇化指标进行面板数据回归分析,结果表明,城镇人口数量和城镇居民人均可支配收入对商品住宅价格的影响最显著。为了便于分析各个地区商品住宅价格与城镇化进程的协调性,采用聚类分析的方法分别对商品住宅价格单一指标和与城镇化结合的多指标进行聚类,对比分析两种聚类的结果,得出在地市级层面,太原、大同、阳泉、长治、运城、忻州这六个地区的商品住宅价格与城镇化进程的协调性较好,晋城、晋中、吕梁的商品住宅价格偏高,临汾、朔州的商品住宅价格偏低,在县(市、区)级层面,这种不协调的现象较为严重,晋城、长治、大同的县域住宅价格普遍偏高,运城的县域住宅价格普遍偏低。山西省商品住宅价格的分异现象反映了区域内住房市场的差异性,这种差异性决定了山西省住房市场的调控应该因地制宜、分类调控,即采用差别化的调控策略。因此,本文遵循“分类调控+重点关注+多层监测”的调控思路,提出商品住宅价格与城镇化进程协调的城镇应该调控供地结构、对各地区县域差别化调控、强化太原都市圈建设、依托产业集聚造就经济发展等,住宅价格偏高的城镇应该扩大城市建成区面积、加强基础设施建设、建设特色城镇等,住宅价格偏低的城镇应该加大棚户区改造货币化安置、采用中心城市带动策略等对策建议。本文认为县(市、区)一级的商品住宅价格分异现象更加突出,特别是一些特殊县域的住房市场发展需要重点关注,因此,本文在考虑地市级层面的同时又加入了县(市、区)级层面,对它们进行分别研究,以期更全面反映山西省住房市场的状况。
[Abstract]:In the past two decades, the real estate market in Shanxi Province has developed rapidly, but the prices of commodity housing in different cities differ significantly. This phenomenon is closely related to the rapid development of urbanization. Therefore, it is necessary to analyze the problem of commodity housing price differentiation in Shanxi Province based on the perspective of urbanization. Through the correct understanding of the influence of urbanization on commodity housing prices, this paper classifies different regions of Shanxi Province, and judges the degree of coordination between the current commodity housing prices and the urbanization process. It is of great practical significance to promote the healthy development of housing market in Shanxi Province. In this paper, taking 11 prefectural cities and 56 counties (cities and districts) with data available in Shanxi Province as the research object, their respective standard deviations are analyzed. By calculating the coefficient of variation and the index of differentiation, it is found that both levels of commodity housing prices are differentiated, among which the spatial differentiation is more prominent. Through the analysis of commodity housing prices and the population of Shanxi prefecture-level cities from 2006 to 2014, the economy, The panel data regression analysis of spatial urbanization index shows that, The effect of the number of urban population and the per capita disposable income of urban residents on the commodity housing prices is the most significant. In order to facilitate the analysis of the coordination between the commodity housing prices and the urbanization process in various regions, By using the method of cluster analysis, the single index of commodity housing price and the multiple index combined with urbanization are clustered, and the results of the two kinds of clustering are compared and analyzed. The results show that at the municipal level, Taiyuan, Datong, Yangquan, Changzhi, Yuncheng, The commodity housing prices in Xinzhou are in good harmony with the urbanization process. The commodity housing prices of Jincheng, Jinzhong and Lv Liang are on the high side, while the commodity housing prices in Linfen and Shuozhou are on the low side, at the county (city, district) level. This kind of uncoordinated phenomenon is more serious, Jincheng, Changzhi, Datong county housing prices are generally high, Yuncheng county housing prices are generally low. The differentiation of commodity housing prices in Shanxi Province reflects the difference of the housing market in the region. This difference determines that the adjustment and control of the housing market in Shanxi Province should be adapted to local conditions, classified regulation and control, that is, the adoption of differential control strategy. Therefore, this paper follows the "classified regulation focus on multi-level monitoring" control thinking. The paper puts forward that the cities and towns with the coordination of commodity housing price and urbanization process should adjust and control the land supply structure, adjust and control the difference of counties in different regions, strengthen the construction of Taiyuan Metropolitan area, and rely on industrial agglomeration to bring up economic development, etc. Cities and towns with high housing prices should expand the area of urban built-up areas, strengthen infrastructure construction, and build characteristic towns, etc. Cities and towns with low housing prices should increase the monetization of the transformation of shantytowns. This paper thinks that the differentiation of commodity housing prices at the county (city, district) level is more prominent, especially the development of housing market in some special counties needs to pay more attention to. In this paper, the prefectural level is considered and the county (city, district) level is added to study them separately, in order to reflect the situation of Shanxi housing market more comprehensively.
【学位授予单位】：山西财经大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F299.23

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