江西省城市经济差异时空演变研究

发布时间：2018-05-06 04:22

本文选题：城市经济差异 + 时空演变　；参考：《江西师范大学》2015年硕士论文

【摘要】：城市与区域是一个相互联系、相互作用的有机整体。城市作为区域的经济增长极,其通过极化和扩散作用对区域经济差异产生影响,区域经济差异首先表现为中心城市的经济差异,因此,从中心城市经济差异的角度,研究区域协调发展有重要现实意义。为阐明江西省城市体系结构特征、城市经济差异的时空演变规律、城市综合经济水平格局的时空演变特征,本文选取江西省20座城市作为研究对象,以2001年—2013年为研究时段,通过计算单指标人均GDP的极差、标准差、变异系数和基尼系数来分析城市经济差异的时间演变;通过计算单指标人均GDP的离差、比率、相对发展速率、GDP的锡尔系数分解来分析城市经济差异的空间演变;通过构建测度城市经济综合水平的指标体系,利用主成分分析法分别测度了2001年、2006年和2013年三个时间点的城市经济综合水平得分,并采用马尔可夫状态概率转移矩阵对城市经济综合水平格局时序演变和空间转移现象进行了研究。主要结论有:(1)江西省城市分布南北不均,趋向于沿京九、浙赣等主要交通轴线分布;趋向于向平原、盆地等适合农业生产、自然地理位置较好的区域分布,区位条件是决定城市分布的关键因素。城市规模体系完善,南昌市人口集聚突出,但其他大城市发育不足,全省以中小规模城市为主。(2)2001年以来,江西省城市经济的绝对差异呈不断扩大趋势,相对差异的阶段性波动特征明显,但总体趋于减小。各城市间经济发展水平不平衡,地级城市经济发展水平总体要好于县级城市,地级城市和县级城市之间的相对差异在缩小;从锡尔系数分解来看,城市经济的总体差异主要是由地级城市之间的经济差异和地级市组与县级市组的组间经济差异引起的,县级城市之间的经济差异并不大。(3)将城市经济发展水平划分为高水平、中高水平、中低水平和低水平四个类型,发现经济发展高水平的城市为“昌九景”金三角;赣南地区缺乏经济辐射能力很强的高水平城市,以中低经济水平和低经济水平城市为主;浙赣线的中部存在一个明显的经济发展中低和低水平的城市区;赣东北的城市经济发展水平波动较大;萍乡和新余中高经济发展水平的位置比较稳定。(4)利用马尔可夫状态转移矩阵,对城市经济发展水平的时空演变进行分析,发现研究时段内,经济发展高水平城市和经济发展低水平城市状态相对稳定,处于中高水平或中低水平的城市经济波动较大,有向高一级或低一级水平转移的可能,但并未出现大范围的向高一级水平转移的情形。
[Abstract]:City and region are an organic whole which is interrelated and interacted. As the regional economic growth pole, cities have an impact on regional economic differences through polarization and diffusion. The regional economic differences are first manifested as the economic differences of central cities, therefore, from the perspective of economic differences in central cities, It is of great practical significance to study regional coordinated development. In order to elucidate the characteristics of urban system structure, the temporal and spatial evolution of urban economic differences, and the spatial and temporal evolution of urban comprehensive economic level pattern, this paper selects 20 cities of Jiangxi Province as the research object, taking 2001-2013 as the research period. The time evolution of urban economic difference is analyzed by calculating the range deviation, standard deviation, variation coefficient and Gini coefficient of per capita GDP of a single index, and the deviation and ratio of per capita GDP of a single index are calculated. The relative rate of development and the decomposition of the Sier coefficient of GDP are used to analyze the spatial evolution of urban economic differences, and through the construction of an index system to measure the comprehensive level of urban economy, Principal component Analysis (PCA) was used to measure the scores of urban economic comprehensive level at three time points in 2001, 2006 and 2013, respectively. The temporal evolution and spatial transition of urban economic comprehensive horizontal pattern are studied by Markov state probability transfer matrix. The main conclusions are as follows: (1) the distribution of cities in Jiangxi Province is uneven between the north and the south, and tends to be distributed along the main transportation axes such as Jingjiu, Zhejiang-Jiangxi, etc., and tends to be distributed in areas suitable for agricultural production, such as plains and basins, where the natural geographical location is better. Location condition is the key factor to determine urban distribution. The urban scale system is perfect, the population agglomeration in Nanchang is prominent, but the other big cities are underdeveloped. Since 2001, the absolute difference in the urban economy of Jiangxi Province has been increasing. The phase fluctuation characteristic of the relative difference is obvious, but the whole tends to decrease. The level of economic development of prefectural cities is generally better than that of county-level cities, and the relative differences between prefecture-level cities and county-level cities are narrowing. The overall difference of urban economy is mainly caused by the economic difference between prefecture-level cities and between prefecture-level city groups and county-level city groups, and the economic difference between county-level cities is not big. 3) the level of urban economic development is divided into high levels. Four types of mid-high level, middle low level and low level, found that the city with high level of economic development is the "Changjiujing" Golden Triangle, and the south of Jiangxi lacks the high level city with strong economic radiation capacity. In the middle part of the Zhejiang-Jiangxi line, there is an obvious urban area with low and middle economic development, while in northeast Jiangxi, the level of urban economic development fluctuates greatly. Pingxiang and Xinyu middle and high level of economic development are relatively stable.) using Markov state transition matrix, this paper analyzes the temporal and spatial evolution of the level of urban economic development, and finds out that in the period of study, Cities with a high level of economic development and cities with low levels of economic development are relatively stable, with large fluctuations in the economies of cities with medium or low levels of development, which may lead to the transfer to higher or lower levels. However, there is no large-scale transfer to a higher level.
【学位授予单位】：江西师范大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F299.27

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