城市群内部县域相对空间区位指数研究

发布时间：2018-07-06 17:36

本文选题：城市群 + 县域区位指数　；参考：《燕山大学》2014年硕士论文

【摘要】：近年来，城市群逐步成为发展区域经济的有力方式，同时县域经济作为基础的行政型区域经济也获得越来越多的关注。但是，已有的研究成果大多将二者分割开来独立地进行分析，而没有重视二者间的联系。事实上，城市群由城市和县域组成，县域是城市群的基础单元，二者是整体与部分的关系，其发展是并行不悖，相互促进的。县域在城市群中有其独特的空间区位，这种区位由城市群内部元素的关系决定，且作为外生变量影响着县域技术效率水平，这正是本文的研究重点。本文以随机生产边界模型为工具，对县域相对空间区位变量进行计量研究，并最终得到一个衡量该区位的指数。首先，从城市群、县域经济、技术效率等方面的研究背景与国内外现状出发，指出现有研究中存在的断裂部分。以此为切入点结合相关理论与中国城市群与县域的现状，建立其本文研究的理论框架。其次，选定随机生产边界分析法为论文分析的主要工具，对其进行理论解释和模型构建的介绍。以中国23个城市群、769个县域、161个地级以上城市、6年的经济面板数据为研究客体，构建引入了空间区位变量的县域技术效率测度的随机生产边界模型。再次，，基于城市群、城市、县域间的结构关系，设计三大方面共18项空间区位变量。以方差膨胀因子检验法为工具，最终选取13项空间区位变量进行下一步的组合。继而通过建立技术无效率影响模型的方法，确定出空间区位变量的最优组合形式。最后，以得到的最优组合形式为基础，经过调整，构建出衡量城市群内部县域相对空间区位的指数，并对其进行各方面检验。结果证明该指数对现实区位确实具有较好地描述能力。从该指数的形式出发，对如何优化县域相对空间区位提出相应的政策建议。
[Abstract]:In recent years, the urban agglomeration has gradually become a powerful way to develop the regional economy. At the same time, the administrative regional economy of the county economy is also getting more and more attention. However, most of the existing research results are divided into two separate analysis, without paying attention to the connection between the two. In fact, the urban agglomeration is from the city and the county domain. The county is the basic unit of the city group, and the two is the relationship of the whole and the part. The development of the county is not inconsistent with each other. The county has its unique spatial location in the city group. This location is determined by the relationship between the inner elements of the city group and the level of the county technical efficiency as an exogenous variable. This is the study of this article. In this paper, we use the stochastic production boundary model as a tool to measure the relative spatial location variables of counties, and finally get an index to measure the location.
First, from the research background of the urban agglomeration, the county economy, the technical efficiency and so on, we point out the existing fracture parts in the study. In this way, the theoretical frame of this paper is set up in combination with the relevant theories and the status of the urban agglomeration and the county in China.
Secondly, the random production boundary analysis method is selected as the main tool for the analysis of the paper, and the theoretical explanation and model construction are introduced. 23 cities in China, 769 counties, 161 cities and more cities, and 6 years' economic panel data are the research objects, and the random production of the county technical efficiency measure which has introduced the space location variable is constructed. Boundary model.
Thirdly, based on the structural relationship between urban groups, cities and counties, 18 spatial location variables are designed in three aspects. With the method of variance expansion factor test as a tool, the final combination of 13 spatial location variables is selected. Then, the optimal combination of spatial location variables is determined by establishing the method of influencing the model of technical inefficiency. Form.
Finally, based on the optimal combination form obtained, the index of relative spatial location in the county area of the city group is constructed and tested in various aspects. The result shows that the index has a good description ability for the actual location. Corresponding policy recommendations.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F127;F224

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