天水市城区基准地价时空变化及驱动力研究

发布时间：2018-05-20 00:44

本文选题：天水城区 + 基准地价　；参考：《甘肃农业大学》2014年硕士论文

【摘要】：天水市近年来经济发展速度快，城市化水平进一步提高，城市人口不断聚集，人们对于城区土地的需求更加强烈，引起城区土地价格大幅上涨。为了促进城市土地市场健康发展，正确把握城市地价的水平与分布，提高城市地价管理效率，必须理清城市地价的时空变化趋势。本文通过收集对比天水市城区1995年、2001年和2013年三期的土地定级与基准地价数据资料，，通过计算基准地价内部结构比率和运用ArcGIS软件对图件叠加，反映基准地价的时空格局变化。选择了1995-2012年间的能反映天水市城区发展状况的社会经济因素、人口因素、交通条件因素和行政政策因素共19项指标，运用SPSS19.0软件对所选取的指标进行因子分析，得到影响天水市城区地价变化的主要驱动因子；采用灰色关联度分析方法，计算各个因子分别对商业地价、住宅地价和工业地价的影响力并对其进行排序分析。研究结论主要有： (1)随着社会经济的快速发展，城市建设不断发展完善。1995年到2013年城区范围不断扩大，天水市城区各用地性质的基准地价也随之产生大幅提高，天水市城市功能分区进一步优化。 (2)基准地价内部的结构比率动态变化特征呈现各级别土地均以商业用地价格最高，不同用地性质的收益情况相差大；不同性质用地价格之间的差别随土地级别降低而减小；相同用地性质的土地，与I级地间的地价差距随级别降低而由小变大；各用地性质的价格均以一级地的地价最高，并随土地级别降低而逐渐降低，其中商业用地价格随级别降幅最明显，工业地价降变速率较平稳，反映出商业用地价格对土地区位的选择更加敏感。 (3)城区土地范围面积增长较大，高位价格土地面积在不断增加，低位价格土地面积所占的比重下降，市区外围土地价格有较大幅度的上涨，不同区位和用途之间的地价变化速率也有差异，地租地价的变化引导城市功能分区更加合理。 (4)引起商业用地、住宅用地、工业用地价格变化的主要因素均不相同，但同时是众多因素共同作用的结果。政策和制度对地价的影响由于无法定量分析，存在被低估的可能。其实土地政策和城市规划对于城市分区布局的引导作用并不容小觑。
[Abstract]:In recent years, the economy of Tianshui City has developed rapidly, the level of urbanization has been further improved, the urban population has been gathering continuously, and the demand for urban land has become more intense, which has caused the price of urban land to rise substantially. In order to promote the healthy development of urban land market, correctly grasp the level and distribution of urban land price and improve the efficiency of urban land price management, it is necessary to clarify the temporal and spatial trends of urban land price. By collecting and comparing the data of land gradation and benchmark land price in 1995, 2001 and 2013 in Tianshui City, the paper calculates the internal structure ratio of land price and uses ArcGIS software to superimpose the map, which reflects the change of space-time pattern of standard land price. From 1995 to 2012, 19 indexes including social and economic factors, population factors, traffic conditions and administrative policy factors, which can reflect the development of Tianshui City, were selected, and the selected indexes were analyzed by SPSS19.0 software. The main driving factors influencing the change of urban land price in Tianshui City are obtained, and the influence of each factor on commercial land price, residential land price and industrial land price is calculated by using grey correlation analysis method, and the influence of each factor on commercial land price, residential land price and industrial land price is analyzed. The main conclusions of the study are: 1) with the rapid development of social economy, urban construction is continuously developed and consummated. From 1995 to 2013, the scope of urban area is continuously expanded, and the standard land price of each character of urban land in Tianshui City has also been greatly improved, and the functional zoning of Tianshui City has been further optimized. (2) the dynamic change characteristics of the structure ratio in the base land price show that the commercial land price is the highest in all levels, and the difference between the land price and the land price decreases with the decrease of the land grade. The difference between the land price of the same land quality and that of the grade I land decreases from small to large, and the price of the first grade land is the highest, and gradually decreases with the decrease of the land grade. The decline of commercial land price is the most obvious, and the rate of industrial land price decline is more stable, which reflects that commercial land price is more sensitive to the choice of land location. (3) the area of urban land has increased greatly, the area of land at high prices has been increasing, the proportion of land area at low prices has decreased, and the price of land in the periphery of urban areas has increased by a large margin. The change rate of land price among different locations and uses is also different, and the change of land rent land price leads to more reasonable urban functional zoning. 4) the main factors causing the price change of commercial land, residential land and industrial land are all different, but they are the result of many factors acting together at the same time. The influence of policy and system on land price can not be analyzed quantitatively, so it is possible to be underestimated. In fact, land policy and urban planning for urban zoning layout guidance role is not to be underestimated.
【学位授予单位】：甘肃农业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F299.23

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