地理科学 ›› 2018, Vol. 38 ›› Issue (3): 402-409.doi: 10.13249/j.cnki.sgs.2018.03.010

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东北地区资源型城市人口分布与影响因素的定量分析

陈妍1(), 梅林1,2()   

  1. 1.东北师范大学地理科学学院, 吉林 长春 130024
    2.东北师范大学人文学院, 吉林 长春 130017
  • 收稿日期:2017-03-29 修回日期:2017-06-10 出版日期:2018-03-21 发布日期:2018-03-21
  • 作者简介:

    作者简介:陈妍(1990-),女,吉林抚松人,博士研究生,主要研究方向区域经济和城乡规划。E-mail:cheny662@nenu.edu.cn

  • 基金资助:
    国家自然科学基金项目(41471111)资助

Quantitative Analysis of Population Distribution and Influencing Factors of Resource-based Cities in Northeast China

Yan Chen1(), Lin Mei1,2()   

  1. 1.School of Geographical Sciences, Northeast Normal University, Changchun 130024, Jilin, China
    2.College of Humanities & Sciences of Northeast Normal University, Changchun 130017, Jilin, China;
  • Received:2017-03-29 Revised:2017-06-10 Online:2018-03-21 Published:2018-03-21
  • Supported by:
    National Natural Science Foundation of China (41471111).

摘要:

基于2000~2014年东北地区资源型城市面板数据,分析转型期间人口时空格局变化特征以及影响因素。研究发现,转型以来东北资源型城市人口的空间分布不均衡状态不断加剧,只有25%的城市人口集中水平保持不变或小幅提升,75%的资源型城市人口集聚水平下降。从城市类型来看,石油型城市人口吸纳能力优于冶金型城市、森工型城市和煤炭型城市。选择个体时刻固定效应模型回归分析,得出产业结构调整、交通便捷程度、医疗社会服务、环境质量等因素对人口空间集中分布产生较明显的作用,未来可通过产业结构升级、提高在岗工资水平、加强基本公共服务完善和交通网络建设等方面提高资源型城市人口集聚能力。

关键词: 资源型城市, 人口, 东北地区

Abstract:

With keeping a high-speed growth since reform policy, resource-based cities in Northeast China have encountered both social and economic changes caused by internal transition as well as external factors. As one of the main factors that effect the cities transition development, it is important to strenghen research on population distribution charateristics of resource-based cities, to provide scientific supports for both resource allocation and policy making. This article aims to reveal the population spatial distribution of the northeast resource-based cities during the transition developing process. The study constructs indicators for the population, economy, society, and environment based on the sustainable development theory with referring data. The spatial-temporal pattern and the effects of other factors are examined at the city level in resource-based cities in Northeast China from 2000 to 2014. The key conclusions of this study are as follows: 1) Nearly 75% of resource-based cities, population agglomeration levels declined in the Northeast during transition process. Yichun lost much more population than other places,while Daqing’s attracting ability kept being the strongest. According to the resource attribution, coal cities are qualitified capable of attracting population than mining cities, and the forest cities are the worst. 2) Four stages of population change can be identified according to their unbalanced coefficient values. The first stage was from 2000 to 2002, the level went smoothly without big fluctuation. In 2003-2005, the unbalanced situation accelerated with the resource-based cities’ population moving activity became stronger. During the third time, under the government financial help, the population agglomeration ability of resource-based cities decaresed slowly. However, the situation did not turn well after 2013, many people prefered to go outside searching more opportunities. 3) The development of a service industry, traffic transportation, medical treatment, social insurance and environmental quality were found to make significant contributions to the population development during the transition process in resource-based cities; however, income level and education were not found to be as effective as other factors. Overall, the population change in the resource-based cities matches with the economic transition process. In the future, applying the innovation, increasing the income, and upgrading management systems can enlarge the capacity of attracting people for the resource-based cities. Additionally, government and enterprises should also change their traditional planning models, implement well-directed measures and solve the historical problems such as laid-off workers’ social insurance gradually and moderately by taking a sufficient consideration of both inside and outside circumstances.

Key words: resource-based cities, population, Northeast China

中图分类号: 

  • C922