县域经济是我国国民经济的基本单元,研究县域经济差异对于一个地区的发展以及整个国民经济的发展都有重大意义。本文以甘肃省86个县域及嘉峪关市共87个地域为研究单元,选取人均GDP 、第二、三产业比重等12项相关指标建立了县域经济发展水平综合评价体系,利用熵权TOPSIS法和ESDA法对近20年来甘肃省各县域经济发展水平进行时间和空间两方面的评测。结果表明:从1995—2015年20年期间,甘肃省经济明显增长,但与全国各地经济发展水平相比还处于缓慢发展阶段;甘肃省县域经济发展水平两极差异明显,排名靠前及靠后的县域在20年间变化不明显,省会兰州及河西地区发展水平较高,陇中和陇南地区县域发展水平整体较低,呈现“强者恒强,弱者恒弱”的格局;空间自相关性显著,低值聚类的显著性更强;热点分析显示,甘肃省县域经济呈现明显的单核型经济空间结构,发展水平较高的地区对周边城市带动作用很小,地域差异明显。
Abstract
The paper aims to reveal the economic development of Gansu. We took a total of 87 regions (86 counties and Jiayuguan) in Gansu as the research unit and selected 12 related indexes, including the per capita GDP, the proportion of the second industry and proportion of the third industry and so on, to establish a comprehensive evaluation system of the county economic development level, and evaluated the economic development level of every region in Gansu during 1995-2015 from the aspects of time and space by using the methods of entropy TOPSIS and ESDA. The results showed that: from 1995 to 2015, the economy of Gansu increased significantly, but it was still in a slow development stage compared with the level of economic development across the country; the differences of the county economy in Gansu was obvious, the top and
bottom counties did not change significantly during 1995-2015, Lanzhou and Hexi area had a higher level of development, county development level was low in Longzhong and Longnan, the pattern was“strong constant strong, weak constant weak”; the spatial autocorrelation was significant and the low value clustering was more significant; the hotspot analysis showed that: the county economy of Gansu had obvious monocular economic spatial structure, and the area with high development level had little effect on the surrounding cities, and the regional difference was obvious.
关键词
县域经济;熵权TOPSIS;ESDA;甘肃省
{{custom_keyword}} /
Key words
county territory economy;entropy weight TOPSIS;ESDA;Gansu province
{{custom_keyword}} /
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1]赵文亮,陈文峰,孟德友.中原经济区经济发展水平综合评价及时空格局演变[J].经济地理,2011,31(10):1585-1591.
[2]David J. Peters. American income inequality across economic and geographic space, 1970–2010[J]. Social Science Research,2013,42(6).
[3]方叶林,黄震方,陈文娣,等.2001-2010年安徽省县域经济空间演化[J].地理科学进展,2013,32(05):831-839.
[4]余凤鸣,张阳生,周杜辉,等.基于ESDA-GIS的省际边缘区经济空间分异——以呼包鄂榆经济区为例[J].地理科学进展,2012,31(08):997-1004.
[5]周扬,李宁,吴文祥,等.1982-2010年中国县域经济发展时空格局演变[J].地理科学进展,2014,33(01):102-113.
[6]李丁,李平安,王鹏.基于ESDA的甘肃省县域经济空间差异分析[J].干旱区资源与环境,2009,23(12):1-5.
[7]袁媛,陈兴鹏,善孝玺.甘肃省县域经济发展差异的时空演变分析[J].测绘科学,2014,39(01):52-58.
[8]李建豹,白永平,罗君,等.甘肃省县域经济差异变动的空间分析[J].经济地理,2011,31(03):390-395.
[9]李文慧,韩惠.甘肃省县域经济空间差异及其演化研究[J].测绘与空间地理信息,2016,39(07):128-131.
[10]赵明华,郑元文.近10年来山东省区域经济发展差异时空演变及驱动力分析[J].经济地理,2013,33(01):79-85.
[11]杜挺,谢贤健,梁海艳,等.基于熵权TOPSIS和GIS的重庆市县域经济综合评价及空间分析[J].经济地理,2014,34(06):40-47.
[12]李刚,迟国泰,程砚秋.基于熵权TOPSIS的人的全面发展评价模型及实证[J].系统工程学报,2011,26(03):400-407.
[13]徐建华.计量地理学[M].北京:高等教育出版社,2006.
[14]赵勇.地理信息分析[M].北京:科学出版社,2013.
[15]赵磊,方成,丁烨.浙江省县域经济发展差异与空间极化研究[J].经济地理,2014,34(07):36-43.
[16]马晓冬,马荣华,徐建刚.基于ESDA-GIS的城镇群体空间结构[J].地理学报,2004(06):1048-1057.
[17]李丁,冶小梅,汪胜兰,等.基于ESDA—GIS的县域经济空间差异演化及驱动力分析——以兰州—西宁城镇密集区为例[J].经济地理,2013,33(05):31-36+23.
[18]刘玉,潘瑜春,陈秧分.山东省县域经济发展的时空动态研究[J].经济地理,2012,32(05):43-48.
[19]廖翼,周发明,唐玉凤.湖南县域经济差异变化的实证研究[J].经济地理,2014,34(02):35-41.
[20]陈利,朱喜钢,李小虎.基于产业结构视角的云南省县域经济差异研究[J].地理科学,2016,36(03):384-392.
{{custom_fnGroup.title_cn}}
脚注
{{custom_fn.content}}