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economic effects, polycentric agglomeration, China

发布时间:2016-11-05 16:58

  本文关键词:中国人口再分布新形势及其社会经济效应研究——基于“六普”数据的分析,由笔耕文化传播整理发布。


中国人口再分布新形势及其社会经济效应研究——基于“六普”数据的分析

Research on New Situation of Chinese Population Redistribution and Its Socio-economic Effects Based on Analysis of Chinese Sixth Census Data

[1] [2] [3]

ZENG Ming-xing, WU Rui-jun, ZHANG Shan-yu ( Pop ulation Research Institute of East China Normal University, Shanghai, 200241, China)

华东师范大学人口研究所,上海200241

文章摘要2000年以来,中国区域经济与人口分布状况发生了巨大的变化,区域经济迅速增长,产业结构急剧变动,人口空间格局出现了深刻的调整。总体上,区域人口增长势头有所放缓,空间格局向“多中心聚集”方向发展。在省际迁移中,广东一枝独秀的局面开始改变,人口迁移重心已由珠三角转移到长三角及其他地区,但东部地区仍然是最重要的人口承载区,同时人口在中、西部部分区域的回归正在加速。在此期间,人口迁移原因越来越多元化,社会因素逐渐增强,迁移流向更为复杂。因此,必须高瞻远瞩、统筹兼顾地对人口再分布进行合理的引导,使其更有利于区域经济和社会的发展。

AbstrSince 2000, the situation of China's regional economy and population distribution has undergone tremendous changes, rapid growth of the regional economy, drastic changes in the industrial structure, and there has been a profound adjustment in spatial pattern of the population. In general,regional population growth momentum has slowed,the spatial pattern of development toward polycentrie agglomeration. In the inter-provincial migration, Guangdong thriving situation began to change, the gravity center of population migration has transferred from Pearl River Delta to Yangtze River Delta and other areas. The eastern region is still the most important population bearing area, while the regional population regression is accelerating in the western part. During this period, the reason of population migration more and more diversified, and social factors gradually increased, the directions of migration become more complex. We must look far ahead from a high plane, guide on population redistribution reasonably, and make it more conducive to regional economic and social development.

文章关键词:

Keyword::population redistribution, socio-economic effects, polycentric agglomeration, China

课题项目:【基金项目】教育部人文社会科学重点研究基地重大项目:大城市人口增长与社会公共资源的协同研究(11JJD840016)

 

 


  本文关键词:中国人口再分布新形势及其社会经济效应研究——基于“六普”数据的分析,由笔耕文化传播整理发布。



本文编号:165473

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