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1、华 中 科 技 大 学 毕 业 设 计（论 文） 毕 业 设 计（论 文） 题目：基于GIS的泉州市经济空间差异的ESDA分析院 系 专业班级 姓 名 学 号 指导教师 2018年 3月 10日学位论文原创性声明、本人郑重声明：所呈交的论文是本人在导师的指导下独立进行研究所取得的研究成果。除了文中特别加以标注引用的内容外，本论文不包括任何其他个人或集体已经发表或撰写的成果作品。本人完全意识到本声明的法律后果由本人承担。作者签名： 年 月 日学位论文版权使用授权书本学位论文作者完全了解学校有关保障、使用学位论文的规定，同意学校保留并向有关学位论文管理部门或机构送交论文的复印件和电子版，允许论文被
2、查阅和借阅。本人授权省级优秀学士论文评选机构将本学位论文的全部或部分内容编入有关数据进行检索，可以采用影印、缩印或扫描等复制手段保存和汇编本学位论文。本学位论文属于 1、保密囗，在 年解密后适用本授权书2、不保密囗 。（请在以上相应方框内打“”）作者签名： 年 月 日导师签名： 年 月 日摘 要经济空间差异研究一直是区域经济学、发展经济学研究的核心问题之一，也是世界各国经济发展过程中的一个普遍性问题。一直受到各国学术界和政府决策部门的普遍关注。作为福建省经济发展中心城市之一的泉州,深入分析域经济差异演变规律及其原因对于探索地区经济协调发展道路具有重要的理论和实践意义。 本文在总结前人研究成果的
3、基础上，采用一系列定量测度指标，运用GIS和空间统计分析方法，研究了2011-2017年间泉州市经济空间差异及其演变规律。基于ESDA全局和局部空间自相关分析，在GIS软件和GeoDA空间统计软件的支持下，利用泉州市2011-2017年各县域人均GDP数据，对经济空间差异的总体和局部空间差异进行了实证分析。 首先指明研究内容和研究目标，概述了经济空间差异相关研究成果，对国内外经济空间差异的研究进展进行了梳理；并且阐述了研究的理论基础、技术路线和数据样本来源，通过GIS和统计计算软件相互结合来实现ESDA技术的有关方法和结论的表达；然后对2011年以来泉州市区域经济差异空间格局进行了实证分析研究
4、，并阐述了泉州市区域经济协调发展的思路与对策；最后得出如下结论: （1）通过计算2000-2006年间各地市相对发展率，结果相差很大，最高的晋江市相对发展率是最低的德化的9倍。表明泉州市各县市经济发展的绝对差异很大。依据相对发展率，进行了泉州市经济发展水平差异的地带性划分， （2）2000-2006年间Theil系数逐年增大，2000-2006年间人均GDP加权变异系数、人口加权变异系数均呈逐年递增的趋势，说明泉州市各县市间经济发展水平相对差异呈现扩大的趋势。同时从2000-2006年间Theil系数增长速度均匀，说明各地经济运行平稳。 （3）全局自相关分析结果表明，泉州市人均GDP存在较为显
5、著的空间正相关特性，人均GDP水平呈现出较强空间聚集特征。局域自相关分析结果表明，泉州市区域经济呈现出一种较强的空间依赖性，基本上形成了区域经济发展的两个空间聚集中心。关键词： 经济空间差异；数据探索分析；GIS；泉州市；ESDAABSTRACT The research of economic spatial difference has always been one of the core issues in the study of regional economics and development economics, and it is also a universal prob
6、lem in the process of economic development in the world. It has been widely concerned by academic circles and government decision-making departments in various countries. As one of the central cities of Fujians economic development, Quanzhous in-depth analysis of the evolution of regional economic d
7、isparities and its causes has important theoretical and practical significance for exploring the coordinated development of regional economy. Based on the summary of previous studies, a series of quantitative indicators were applied to study the spatial difference and evolution of Quanzhous economy
8、in 2011-2017 years based on GIS and spatial statistical analysis. Based on the global and local spatial autocorrelation analysis of ESDA, with the support of GIS software and GeoDA spatial statistical software, we make an empirical analysis of the overall and local spatial differences of economic sp
9、atial differences based on the per capita GDP data of counties in Quanzhou in the past 2011-2017 years. First points out the research contents and objectives, summarized the economic spatial difference of relevant research results, research progress of the difference of the domestic and internationa
10、l economic space carried out; and expounds the theoretical basis and research technical route and data source software combined with the method and the conclusion of the technology to achieve ESDA expression by GIS and statistics the calculation of Quanzhou city since 2011; and the difference of reg
11、ional economy spatial patterns were analyzed by empirical research, and expounds the ideas and Countermeasures for the coordinated development of regional economy in Quanzhou city; the final conclusion is as follows: (1) through the calculation of the relative development rate of cities in 2000-2006
12、 years, the results vary greatly, and the highest rate of relative development in Jinjiang is 9 times the lowest in Dehua. It shows that the economic development of each county and city in Quanzhou is absolutely different. According to the relative development rate, the zonal division of the differe
13、nces in the economic development level of Quanzhou was carried out. (2) during the 2000-2006 years, the Theil coefficient increased year by year. The GDP weighted variation coefficient and the population weighted coefficient of variation increased year by year in 2000-2006 years, indicating that the
14、 relative difference of the economic development level between counties and cities in Quanzhou showed an increasing trend. At the same time, the growth rate of Theil coefficient is uniform from 2000-2006 years, which indicates that the economy is running smoothly. (3) the results of global autocorre
15、lation analysis showed that the per capita GDP in Quanzhou had significant spatial positive correlation characteristics, and the per capita GDP level showed strong spatial clustering characteristics. The results of local autocorrelation analysis showed that Quanzhous regional economy showed a strong spatial dependence, and basically formed the two spatial aggregation centers of regional economic development.Keywords: Economic space differences; data exploration and anal
