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中国县域小城镇就业岗位对人口集聚的影响研究——基于分位数回归的实证检验

发布时间:2018-07-29 15:45
【摘要】:利用中国县域建制镇数据,研究了中国小城镇常住人口与就业岗位的空间分布特征,采用分位数回归实证检验了就业岗位对小城镇人口集聚的影响。主要结论是:(1)中国县域小城镇常住人口主要集中在胡焕庸线以东地区,尤其是哈大沿线、成渝地区、长江中下游和东南沿海省份。2009~2014年,中国小城镇常住人口密度普遍上升,中国小城镇常住人口比重在胡焕庸线两侧基本保持着稳定状态。(2)中国县域小城镇非农就业岗位分布与常住人口分布大致吻合,且集聚程度更高。(3)中国县域小城镇就业岗位促进常住人口的集聚。随着县域小城镇人口规模的增加,就业岗位对小城镇常住人口集聚的影响逐渐降低,且第三产业就业岗位数量对人口集聚的影响将超过第二产业。(4)分区域看,县域小城镇就业岗位的人口促进作用对东部地区最为显著,中部次之,西部最低。
[Abstract]:The spatial distribution characteristics of permanent resident population and employment posts in small towns in China were studied by using the data of county construction in China. The effects of employment posts on the population concentration in small towns were tested by quantile regression. The main conclusions are as follows: (1) the resident population of small towns in China is mainly concentrated in the east of Hu Huanyong line, especially along Harbin and Chongqing, in Chengdu-Chongqing area, in the middle and lower reaches of the Yangtze River and in the southeastern coastal provinces from 2009 to 2014, the density of resident population in small towns in China has generally increased. The proportion of resident population in small towns in China is basically stable on both sides of the Hu Huanyong line. (2) the distribution of non-agricultural employment posts in small towns in China is roughly consistent with that of permanent residents. And the degree of agglomeration is higher. (3) the employment of small towns in China promotes the agglomeration of permanent resident population. With the increase of the population size of county small towns, the influence of employment posts on the permanent resident population concentration in small towns is gradually reduced, and the effect of the number of employment posts in the tertiary industry on population agglomeration will exceed that of the second industry. (4) Subregional view, The role of employment posts in county small towns is the most significant in the eastern region, followed by the central region, and the lowest in the western region.
【作者单位】: 北京大学政府管理学院;东北财经大学公共管理学院;
【基金】:国家自然科学基金项目(41671120)资助~~
【分类号】:C924.2;F249.2

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