中國縣域小城鎮(zhèn)就業(yè)崗位對人口集聚的影響研究——基于分位數(shù)回歸的實證檢驗
發(fā)布時間:2018-07-29 15:45
【摘要】:利用中國縣域建制鎮(zhèn)數(shù)據(jù),研究了中國小城鎮(zhèn)常住人口與就業(yè)崗位的空間分布特征,采用分位數(shù)回歸實證檢驗了就業(yè)崗位對小城鎮(zhèn)人口集聚的影響。主要結(jié)論是:(1)中國縣域小城鎮(zhèn)常住人口主要集中在胡煥庸線以東地區(qū),尤其是哈大沿線、成渝地區(qū)、長江中下游和東南沿海省份。2009~2014年,中國小城鎮(zhèn)常住人口密度普遍上升,中國小城鎮(zhèn)常住人口比重在胡煥庸線兩側(cè)基本保持著穩(wěn)定狀態(tài)。(2)中國縣域小城鎮(zhèn)非農(nóng)就業(yè)崗位分布與常住人口分布大致吻合,且集聚程度更高。(3)中國縣域小城鎮(zhèn)就業(yè)崗位促進(jìn)常住人口的集聚。隨著縣域小城鎮(zhèn)人口規(guī)模的增加,就業(yè)崗位對小城鎮(zhèn)常住人口集聚的影響逐漸降低,且第三產(chǎn)業(yè)就業(yè)崗位數(shù)量對人口集聚的影響將超過第二產(chǎn)業(yè)。(4)分區(qū)域看,縣域小城鎮(zhèn)就業(yè)崗位的人口促進(jìn)作用對東部地區(qū)最為顯著,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.
【作者單位】: 北京大學(xué)政府管理學(xué)院;東北財經(jīng)大學(xué)公共管理學(xué)院;
【基金】:國家自然科學(xué)基金項目(41671120)資助~~
【分類號】:C924.2;F249.2
本文編號:2153164
[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.
【作者單位】: 北京大學(xué)政府管理學(xué)院;東北財經(jīng)大學(xué)公共管理學(xué)院;
【基金】:國家自然科學(xué)基金項目(41671120)資助~~
【分類號】:C924.2;F249.2
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