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作 者:贾卓[1,2,3] 陈兴鹏 马振邦[1,2] 强文丽 李恩龙[1] JIA Zhuo;CHEN Xing-peng;MA Zhen-bang;QIANG Wen-li;LI En-long(College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,Gansu,China;Research Institute for Circular Economy in Western China,College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,Gansu,China;The Key Laboratory of Western China's Environmental Systems,Ministry of Education,Lanzhou University,Lanzhou 730000,Gansu,China)
机构地区:[1]兰州大学资源环境学院,甘肃兰州730000 [2]兰州大学资源环境学院中国西部循环经济研究中心,甘肃兰州730000 [3]兰州大学西部环境教育部重点实验室,甘肃兰州730000
出 处:《干旱区地理》2018年第5期1106-1114,共9页Arid Land Geography
基 金:国家自然科学基金资助项目(41601606);教育部人文社会科学研究基金项目(15YJC790034);兰州大学中央高校基本科研业务费专项资金资助项目(lzujbky-2014-128)
摘 要:采用偏离—份额四分量模型,分解2010—2015年兰白西城市群41个县(区)经济增长结构;采用空间数据分析方法,分析41个县(区)经济增长总量及各分量空间特征。结果表明:(1)兰白西城市群呈现以兰州市和西宁市为双核心的"中心—外围"经济结构,兰州市的经济中心地位更为显著。(2)根据经济增长总量及各分量,将兰白西城市群41个县(区)分为经济快速增长型、经济滞后增长型、竞争力优势推动型和资源配置优势推动型等4种类型。(3)经济增长总量、份额偏离分量、产业结构分量在空间上存在集聚性特征,竞争力分量在空间上存在随机分布性特征,资源配置分量在空间上存在负相关性特征。(4)份额偏离分量、产业结构分量与经济增长总量的空间重合度较高,竞争力分量、资源配置分量与经济增长总量的空间重合度有待优化。Esteban-Marquillas' Shift-share Model is used in the analysis of economic growth and structural deeomposition of the Lanzhou-Baiyin-Xining urban agglomeration of Gansu and Qinghai Province, northwestern China, from 2010 to 2015. The spatial data analysis method is used for investigating the spatial characteristics of the total amount of economic growth and its components. The results showed as follows : ( 1 ) Economic growth is unbalanced among the 41 counties of Lanzhou-Baiyin-Xining Urban Agglomeration, and it displayed a pattern of ' core-periphery' with Lanzhou and Xining City being the dual cores and the rest being the peripheries. As the economic center, Lanzhou is more significant. (2) According to the total amount of economic growth and its components ,41 counties are divided into 4 types:the rapid economic growth type, the economic lag growth type, the competitive advantage driven type and the resource allocation advantage driven type. (3) Total amount of economic growth, the component of share deviation, the component of industrial structure had characteristics of agglomeration in space, while the component of competitiveness had characteristics of random distribution, and the component of resource allocation had negative spatial correlation. (4) The spatial coincidence degree of the component of share deviation, the component of industrial structure and total amount of economic growth is relatively high. The spatial coincidence degree of the component of competitiveness, the component of resource allocation and total amount of economic growth needs to be optimized.
关 键 词:兰白西城市群 县域经济 偏离一份额四分量模型 空间数据分析 空间特征
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