京津冀城市群产业地价时空分布及影响因素研究
本文选题:京津冀城市群 切入点:产业地价 出处:《北京建筑大学》2017年硕士论文 论文类型:学位论文
【摘要】:国家“十三五”规划纲要提出:“国家新型产业体系的实现,要促进和提高实体经济的发展水平,实现传统产业向新兴产业的转变,实现区域间城市的良好合作”。国家新型城镇化规划也提到:要想实现产业用地的合理分配、产业地价的合理布局,就要调整和优化城市产业用地结构,实现产业用地的合理规划和使用。地价的变动是城市土地市场发展状况的体现,也是城市内经济发展状况的综合反映,近年来京津冀城市群各城市间发展不均衡、产业用地规模不断缩减、产业用地价格不断上升。在“规模缩减-价格上升”过程中必然存在城市间不协调发展、产业用地不合理规划及产业地价不合理分布等问题,所以提高区域内城市发展水平、提升产业用地效率、促进“地价-地用”结构的双优化迫在眉睫。为解决京津冀城市群突显的城市发展不均衡、产业用地不合理使用及产业地价的不合理分布这一系列问题,本文以城市群产业地价(工业地价、商服地价)为研究对象,对其时空分布及影响因素进行分析和研究。首先,城镇等级划分是研究城市群内产业分工、资金流和人口流等经济、社会问题的重要基础,以区域经济学中经典的克里斯塔勒“中心地”理论为依据,将京津冀城市群2010-2015年的城镇等级划分为“主核心城市-次核心城市-区域副中心城市-骨干城市-次级骨干城市-潜在骨干市县-一般市县”七个层级,为城镇等级间产业地价的研究提供基础。其次,选用京津冀城市群2010-2016年内以“招拍挂”方式出让的产业用地数据,对“七等级”城镇等级间产业地价进行研究。结果为:产业地价在七等级城镇体系中大体呈现由核心城市向腹地波浪状次第衰减;天津的产业地价偏低,与其所处的城镇等级不相称;河北的产业地价普遍偏低,产业用地较多分布在城市群交通便利的南部区域,在北部张家口、承德分布的较少。最后,对产业地价的影响因素进行分析。工业地价的主要影响因素是第三产业总产值、第三产就业人员、社会消费品零售总额、地方财政收入、地方财政支出和供水总量;商服地价的主要影响因素是地方财政收入、地方财政支出、第三产业总产值、园林绿地面积和商品房屋销售额。同时,天津和河北两地在承接北京疏散的企业、人口、资源等方面未形成城市间互利共赢的发展态势,所以为实现产业用地的合理使用、产业地价的合理分布,加强产业用地结构的调整和区域间城市的协作极其重要。
[Abstract]:The outline of the National 13th Five-Year Plan states: "in order to realize the new industrial system of the country, we must promote and improve the level of development of the real economy and realize the transformation of traditional industries into new industries. In order to achieve a reasonable distribution of industrial land and the rational distribution of industrial land prices, it is necessary to adjust and optimize the structure of urban industrial land use. The change of land price is the embodiment of the development of the urban land market and the comprehensive reflection of the economic development in the city. In recent years, the development of the cities in the Beijing-Tianjin-Hebei urban agglomeration has been uneven. The scale of industrial land is shrinking and the price of industrial land is rising. In the process of "scale reduction-price rise", there must be some problems such as uncoordinated development among cities, unreasonable planning of industrial land and unreasonable distribution of industrial land price. Therefore, it is urgent to improve the level of urban development in the region, to improve the efficiency of industrial land use and to promote the dual optimization of the structure of "land price and land use." in order to solve the imbalance of urban development highlighted by the Beijing-Tianjin-Hebei urban agglomeration, This paper takes the industrial land price (industrial land price, commercial service land price) as the research object, analyzes and studies the spatial and temporal distribution and the influencing factors of the industrial land price and the unreasonable distribution of the industrial land price. First of all, the paper analyzes and studies the problem of the industrial land price (industrial land price, commercial service land price) in urban agglomeration. The classification of cities and towns is an important basis for the study of economic and social problems such as industrial division, capital flow and population flow in urban agglomeration, based on the classical "central place" theory in regional economics. The cities and towns of Beijing-Tianjin-Hebei urban agglomeration from 2010 to 2015 are divided into seven levels: "main core city, sub-core city, regional sub-center city, backbone city, secondary backbone city, potential backbone city and general city and county". It provides the basis for the study of the industrial land price among the cities and towns. Secondly, the data of the industrial land sold by the Beijing-Tianjin-Hebei urban agglomeration in 2010-2016 are selected. This paper studies the industrial land price among the seven grades of cities and towns. The results are as follows: the industrial land price in the system of the seven grades of towns is decaying from the core city to the hinterland in general, and the industrial land price in Tianjin is on the low side. The industrial land price in Hebei is generally low, and the industrial land is distributed in the southern region of urban agglomeration, and in Zhangjiakou in the north, Chengde is less. Finally, The main influencing factors of industrial land price are the gross output value of the tertiary industry, the employment personnel of the third industry, the total retail sales of consumer goods, the local financial revenue, the local financial expenditure and the total amount of water supply. The main influencing factors of commercial service land price are local financial revenue, local financial expenditure, gross output value of tertiary industry, green space area of gardens and sales of commercial houses. At the same time, Tianjin and Hebei are undertaking the evacuation of enterprises and population in Beijing. The development situation of mutual benefit and win-win among cities is not formed in resources, so it is very important to realize the rational use of industrial land, the rational distribution of industrial land price, and to strengthen the adjustment of industrial land structure and the cooperation of regional cities.
【学位授予单位】:北京建筑大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:F299.27
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