东北地区经济发展的空间关联分析

发布时间：2018-06-07 23:40

本文选题：东北地区 + 经济发展水平　；参考：《辽宁师范大学》2014年硕士论文

【摘要】：地理空间实体往往是相互联系的，在实体之间建立更密切的联系特别是相近的实体这是Tobler在地理学中倡导的。区域经济发展的空间关联已成为经济地理学研究的热点之一。国内外很多学者将ESDA的方法引入到对区域空间关联研究做了很多尝试。本文基于区域增长极理论和空间相互作用理论等，利用探索性的空间数据分析ESDA工具Geoda（1.4.0版本）和Arcgis9.3，对东北地区空间关联分析。选取2003年到2012年东北地区236个单位人均GDP进行空间关联分析，分析结论找出产生区域差异的原因，为区域一体化发展提供参考。为实现县域间有效互动，打造具有竞争力的县域，促使县域间实现协调、均衡发展，，早一天完成老工业基地振兴战略的目标具有理论和实践意义。本文详细介绍了区域经济发展空间关联的理论，以及空间自相关理论的权重矩阵比较，对东北地区41个城市经济发展水平差异总体趋势进行分析，县域经济空间总体格局简要说明。采用ESDA方法对东北地区进行了经济发展空间自相关分析，把东北地区236个县域分成4个类型，并解释经济发展产生差异的成因。主要结论如下：第一，东北地区41城市绝对差异呈扩大趋势，相对差异呈缩小趋势，总体差异呈缓慢缩小趋势。第二，东北地区经济水平空间格局总体上是由南向北，由东向西的格局，哈大经济带和辽宁沿海经济带逐步凸显，形成以大城市为中心的核心—边缘结构。第三，东北地区县域经济空间上有正的相关性，蒙东地区和辽中南地区为高值集聚中心，辽西北地区和绥化及周边地区为中心的低值集聚中心。本文的创新之处体现在两个方面：首先地级市和县级市交互研究，更好的解释东北地区经济差异的成因；其次实证的创新，运用空间自相关方法对东北地区236个空间单位进行区域经济水平关联分析，并对236个单位进行归类。对经济发展水平的空间差异问题的研究提供了一个定性与定量的相结合的研究框架。
[Abstract]:Geospatial entities are often interlinked, and establishing closer ties between entities, especially those close to each other, is advocated by Tobler in geography. Spatial correlation of regional economic development has become one of the hotspots in economic geography research. Many scholars at home and abroad have introduced the ESDA method to the research of regional spatial association. Based on the theory of regional growth pole and the theory of spatial interaction, this paper makes use of the exploratory ESDA tool Geodaer 1.4.0) and Arcgis 9.3 to analyze the spatial association in Northeast China. From 2003 to 2012, 236 units of per capita GDP in Northeast China were selected to carry out spatial correlation analysis. The results of the analysis find out the causes of regional differences and provide a reference for the development of regional integration. In order to achieve effective interaction between counties, build competitive counties, promote coordination and balanced development among counties, It is of theoretical and practical significance to complete the goal of revitalizing the old industrial base one day earlier. This paper introduces in detail the theory of spatial correlation of regional economic development and the comparison of the weight matrix of spatial autocorrelation theory. The general trend of economic development level difference in 41 cities in Northeast China is analyzed, and the general pattern of county economy space is briefly explained. The spatial autocorrelation analysis of economic development in Northeast China was carried out by using ESDA method. 236 counties in Northeast China were divided into 4 types and the causes of the differences in economic development were explained. The main conclusions are as follows: first, the absolute difference of 41 cities in Northeast China is increasing, the relative difference is decreasing, and the overall difference is decreasing slowly. Second, the spatial pattern of economic level in Northeast China is generally from south to north. The pattern from east to west, the economic belt of Harbin and Liaoning coastal areas gradually highlights, forming a core-edge structure centered on big cities. Third, there is a positive correlation in the space of county economy in Northeast China. Mengdong and central and southern Liaoning are high value agglomeration centers, and northwest Liaoning and Suihua and its surrounding regions are low value agglomeration centers. The innovation of this paper is embodied in two aspects: first, the interactive research between prefecture-level cities and county-level cities. Secondly, the paper uses spatial autocorrelation method to analyze the regional economic level correlation of 236 spatial units in Northeast China, and classifies 236 units. The research on the spatial difference of economic development level provides a qualitative and quantitative research framework.
【学位授予单位】：辽宁师范大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F127

【参考文献】