基于ESDA的湘西自治州城镇化空间格局研究

发布时间：2018-05-26 09:59

本文选题：城镇化 + 空间格局　；参考：《湖南师范大学》2013年硕士论文

【摘要】：城镇化是衡量城镇化发展程度的数量指标,城镇化研究一直是众多学者关注的热点问题。依据它的研究成果有利于国家和各级政府制定正确的城镇化方针。随着科技水平的提高,对城镇化的研究也趋于从空间变化与时间变化进行分析,力求多方位、多角度、多层次综合评价城镇化。从大尺度出发,有关中国34个省的城镇化水平的研究成果已非常丰富,然而,从小城镇小尺度评价城镇化水平的研究相对薄弱。湘西土家族苗族自治州(以下简称湘西自治州)作为一个重要切入点,城镇化及城镇化空间格局极具有研究价值。以此为基础,可以客观、准确地评价湘西自治州城镇化水平,为政府制定城镇发展战略及相关政策提供意见与建议。本文在借鉴城镇化及城镇化空间相关理论的基础上,采勇探索性空间数据分析方法(ESDA),利用SPSS21.0, Open Geoda(空间计量)等软件,从城镇化水平的分异以及影响城镇化的经济增长、产业结构转换、区位因素与制度政策因素四个方面对湘西自治州城镇化空间格局进行分析。研究结果表明： 1、通过构建涵盖经济、人口、生活、景观等四个方面的综合城镇化水平测度指标体系,由因子分析发现湘西自治州2004—2011年城镇化发展逐渐关注质量的提升,关注城镇化的内涵,城镇化处于“广度普及型”城镇化逐渐向“深度推进型”城镇化的转型期。2004年湘西自治州城镇化水平综合排名为吉首市龙山县永顺县凤凰县泸溪县花垣县保靖县古丈县,2011年城镇化综合水平排名为吉首市花垣县凤凰县泸溪县龙山县保靖县永顺县古丈县。 2、运用ESDA中空间相关统计量识别湘西自治州综合城镇化水平的空间格局特征。2004年湘西自治州经济城镇化因子、人口城镇化因子、生活城镇化因子与城镇化综合水平的Moran's I都为负值,表明湘西自治州三个公共因子与城镇化综合水平的格局有明显的空间空间负相关性,空间差异明显,呈高低或低高聚集,景观城镇化因子Moran's I为正值,具有空间正相关性,呈高高或低低集聚,但由于其数值较小,集聚效应较弱；2011年湘西自治州公共因子与城镇化综合水平的Moran's I值显著上升,除生活城镇化Moran's I为负外,其余均为正,湘西自治州县、市单元的城镇化水平高的地区与城镇化水平低的地区存在有空间趋同或收敛的趋势,城镇化水平发展存在着高值区域的集聚与低值区域的集聚的趋势。 3、从城镇化动力机制着手,湘西自治州城镇化空间格局的影响主要有经济增长、产业结构转换、区位因素以及制度与政策因素四个方面,在梳理各影响因素作用机理的基础上,对影响湘西自治州城镇化空间格局的各因素进行多元回归分析,探讨了各影响因素作用方向及作用程度。
[Abstract]:Urbanization is a quantitative index to measure the development of urbanization, and urbanization research has been a hot issue concerned by many scholars. According to its research results, the state and governments at all levels to formulate a correct urbanization policy. With the development of science and technology, the research on urbanization tends to analyze the change of space and time, and make every effort to evaluate urbanization in many directions, from many angles and at different levels. On a large scale, the research on urbanization level of 34 provinces in China has been very rich, however, the research on the evaluation of urbanization level in small towns on a small scale is relatively weak. As an important breakthrough point, the Tujia and Miao Autonomous Prefecture of Western Hunan is of great value in the study of urbanization and its spatial pattern. On this basis, the urbanization level of Xiangxi Autonomous Prefecture can be evaluated objectively and accurately, and suggestions can be provided for the government to formulate urban development strategy and related policies. Based on the related theories of urbanization and urbanization, this paper adopts the exploratory spatial data analysis method of ESDAA, using SPSS 21.0, Open Geoda (spatial measurement) and other software, from the differentiation of urbanization level and the economic growth that affects urbanization. This paper analyzes the spatial pattern of urbanization in Xiangxi Autonomous Prefecture from four aspects: industrial structure transformation, location factor and system policy factor. The results show that: 1. By constructing a comprehensive urbanization level measurement index system covering four aspects of economy, population, life and landscape, it is found by factor analysis that the development of urbanization in Xiangxi Autonomous Prefecture from 2004 to 2011 gradually pays attention to the improvement of urbanization quality. Paying attention to the connotation of urbanization, Urbanization is in the transition period of "breadth popularizing" urbanization to "deep pushing" urbanization. In 2004, Xiangxi autonomous prefecture was ranked as Baojing county in Luxi county, Luxi county, Fenghuang county, Yongshun county, Jishou city Guzhang County, 2011 urbanization level ranking for Jishou City Huayuan County Fenghuang County Luxi County Longshan County Baojing County Yongshun County Guzhang County. 2. Using spatial correlation statistics in ESDA to identify the spatial pattern characteristics of comprehensive urbanization level in Xiangxi Autonomous Prefecture. In 2004, Xiangxi Autonomous Prefecture's economic urbanization factor, population urbanization factor, The Moran's I of life urbanization factor and urbanization comprehensive level were both negative, which indicated that the pattern of three public factors in Xiangxi Autonomous Prefecture and the comprehensive level of urbanization had obvious spatial negative correlation, and the spatial difference was obvious, which was high or low or high aggregation, and there was a negative correlation between the three public factors and the comprehensive level of urbanization in Xiangxi Autonomous Prefecture. The landscape urbanization factor Moran's I is positive, with positive spatial correlation, high or low concentration, but due to its small value, the agglomeration effect is weak, in 2011, the Moran's I value of public factor and urbanization level in Xiangxi Autonomous Prefecture increased significantly. Except that the Moran's I of living urbanization is negative, the rest are all positive. There is a tendency of spatial convergence or convergence in the areas with high urbanization level and low urbanization level in Xiangxi autonomous prefecture and city unit. The urbanization level development has the tendency of high-value region agglomeration and low-value region agglomeration. 3. From the dynamic mechanism of urbanization, the influence of the spatial pattern of urbanization in Xiangxi Autonomous Prefecture mainly includes four aspects: economic growth, industrial structure transformation, location factors and institutional and policy factors. The factors influencing the spatial pattern of urbanization in Xiangxi Autonomous Prefecture were analyzed by multivariate regression analysis.
【学位授予单位】：湖南师范大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TU984.113

【参考文献】