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      期刊文献+

      资源衰退型城市脆弱性及空间特征分析 认领 被引量:1

      Vulnerability of Resources-exhausting Cities and Spatial Characteristics
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      摘要 对中国23个资源衰退型城市2003—2014年的脆弱性进行了测度,并通过Moran指数和LISA分析法对脆弱性的集聚情况以及空间相关性进行了分析。研究表明:23个城市的脆弱性具有较强的空间相关性,呈现空间集聚现象;高高型聚集区域主要分布在东北部,低低型聚集区域主要分布在中部和南部;其中,黑龙江省的伊春、鹤岗、七台河和双鸭山市的脆弱性较高,且具有较强的显著相关性,较难摆脱资源枯竭困境。应对各区域城市进行差异化发展:对脆弱性较高的城市,加大帮扶力度,且以鹤岗为中心,探索其新型产业发展模式;对脆弱性较低的城市,应积极发展本地的优势产业,不断提高城市的稳定性。 The vulnerability was measured based on the data of 23 resources-exhausting cities in Chinese from 2003 to 2014, and the pattern of concentration of the vulnerability and spatial correlation characteristics was explored through the Moran's I and LISA method. The results showed that: vulnerability of resources-exhausting cities possessed stronger autocorrelation, and presented the phenomenon of spatial agglomeration; the type of H-H aggregation area mainly located in the northeast China, while the type of L-L aggregation area mainly distributed in central and south China. The vulnerability of Yichun, Hegang, Qitaihe and Shuangyashan in Heilongjiang Province is higher, and it had strong correlation with each other, which made it difficult to get rid of the dilemma of resource depletion.The cities in the different regions should be developed according to the various feature. Concretely, the local government should help Yichun, Hegang, Qitaihe and Shuangyashan get out of the trouble of resource exhaustion by strengthening the policy support . Meanwhile, it should take Hegang as the center of these cities, which's development model would be explored to help itself and other cities transform and upgrading the existing industrial. Moreover, the city that possessed the lower vulnerability should push more aggressively into local advantageous industries, and continuously improve the stability of the city.
      作者 肖枝洪 隆蓉 XIAO Zhi-Hong1, LONG Rong1,2(1. Science Department,Chongqing University of Technology,Chongqing 400054, China;2. Big Data Institute,Tongren University,Tongren 554300, China)
      出处 《统计与信息论坛》 CSSCI 北大核心 2017年第9期55-62,共8页 Statistics & Information Tribune
      基金 国家统计局统计科研重点项目(多数据源的整合与价值挖掘研究K2014LZ25)
      关键词 资源衰退型城市 脆弱性 空间相关性 LISA分析 resources-exhausting cities vulnerability spatial correlation LISA analysis
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