摘要
以黄河流域的各地级市为研究单元,人均GDP为测度指标,综合运用不同时空动态分析方法,在Open Geoda和Pysal2.7软件支持下,对1990—2013年黄河流域73个地级市经济发展水平空间格局和演变过程进行分析。研究表明:黄河流域整体区域经济差异呈现先扩大后减小的趋势,东部地区内部差异最显著对整体差异贡献最大,中部、西部区域经济差异相对稳定;流域经济空间异质性明显,存在显著的空间正相关,区域经济格局两极化明显且东部经济水平明显高于中西部地区,流域经济发展的热点区主要分布在山东省内,冷点区主要分布在甘肃、陕西、青海等部分州市;通过分析黄河流域73个地级市经济发展类型时空演变特征,反映出黄河流域经济发展存在俱乐部趋同趋势,初始状态对区域经济发展具有重要作用,区域背景亦具有一定作用,区域经济水平的跨越式发展基本不存在。
Issues of regional economic development inequality have been particularly important in China, which caught serious attention of economists and geographers. This paper takes capita GDP indications at city level to analyze spatial-temporal evolution of regional economic inequality in the Yellow River Valley during 1990-2013, by Theil decomposition, Exploratory Spatial Data Analysis（ESDA） and Spatial Markov chain, which can be realized by Excell, OpenGeoda and Pysal.2.7. It comes to the conclusion from two sides of time series and spatial series, as follows： Firstly, regional economic inequality of the Yellow River Valley is sensitive to geographical scale, the inequality of the Yellow River Valley shows an inverted U shpe pat- tern. Secondly there exist obvious spatial heterogeneity and positive correlation in the Yellow River Valley. Thirdly, by using Spatial Markov chain method, we can analyze the characteristics of spatial and tempral evo- lution of the 73 cities in the Yellow River Valley in the past 24 years. Generally, if a region is adjacent to re- gions with low economic level, it will suffer from negative influences; if adjacent to regions with high eco- nomic level, it will help increase the number of regions with the economic level shifting upward and reduce the number of regions with same level or downward transfer.
出处
《人文地理》
CSSCI
北大核心
2016年第5期119-125,共7页
Human Geography
基金
教育部人文社会科学重点研究基地重大项目(13JJD790008)
教育部人文社会科学研究青年基金(14YJC630216)
国家基础科学人才培养基金科研能力训练项目(J1103409)
关键词
黄河流域
经济差异
ESDA
空间马尔科夫
Yellow River Valley
economic inequality
ESDA
spatial Markov chains
