地理科学 ›› 2017, Vol. 37 ›› Issue (9): 1345-1353.doi: 10.13249/j.cnki.sgs.2017.09.007

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广东省残疾人生计资本的空间差异及影响因素研究

吴清1, 吴黎2, 李细归3(), 周雯4   

  1. 1.肇庆学院旅游管理系,广东 肇庆 526061
    2.肇庆学院教师教育学院,广东 肇庆 526061
    3.华中师范大学地理过程分析与模拟湖北省重点实验室,湖北 武汉 430079
    4.肇庆市残疾人联合会,广东 肇庆 526060
  • 收稿日期:2017-02-14 修回日期:2017-04-15 出版日期:2017-11-20 发布日期:2017-11-20
  • 作者简介:

    作者简介:吴清(1983-),男,湖南涟源人,博士,讲师,主要研究方向为旅游扶贫与区域可持续发展。E-mail: wuqing913@126.com

  • 基金资助:
    国家自然科学基金项目(41401165)、广东省残疾人事业理论与实践研究项目(2016168、2017156)资助

Spatial Difference and Influencing Factors of Livelihood Capital of People with Disabilities in Guangdong Province

Qing Wu1, Li Wu2, Xigui Li3(), Wen Zhou4   

  1. 1. Department of Tourism Management , Zhaoqing University, Zhaoqing 526061,Guangdong, China
    2. College of Teacher Education, Zhaoqing University, Zhaoqing 526061, Guangdong, China
    3. Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province,Central China Normal University, Wuhan 430079, Hubei, China;
    4. Zhaoqing Disabled Persons’Federation, Zhaoqing 526060, Guangdong, China;
  • Received:2017-02-14 Revised:2017-04-15 Online:2017-11-20 Published:2017-11-20
  • Supported by:
    National Natural Sciences Foundation of China (41401165), Theory and Practice Research Project of the Disabled People of Guangdong Province (2016168, 2017156).

摘要:

运用改进的TOPSIS模型和GIS空间分析方法,对2015年广东省21个地市残疾人生计资本的空间分布特征及影响因素进行分析。结果表明:残疾人生计资本综合水平呈明显的“级差化”分异特征,高生计资本地市以广州、肇庆和清远3市为主,而低生计资本地市分布相对分散,总体表现出“大分散、小集中”的分布格局。残疾人不同类型生计资本水平空间差异显著,各类型资本大多处于较低等级,多种资本匹配性较低;社会和金融资本较高区主要分布在粤北地区,人力、康复和物质资本较高区均以广州最高;各类型资本以东部沿海城市及粤西云浮、茂名、阳江等地相对偏低。 残疾人生计资本总量具有显著的空间自相关性,热点区和冷点区分布差异明显,总体上表现出集聚分布特征。经分析,政策环境、经济水平、教育培训及康复服务等方面是影响广东省残疾人生计资本空间分布格局的重要因素。

关键词: 生计资本, 空间差异, 残疾人, 广东省

Abstract:

The improved TOPSIS Model and GIS Spatial Analysis Method are used to study the spatial difference characteristics and influencing factors of livelihood capital in 21 prefecture-level cities in Guangdong in 2015. Results show that: 1) The comprehensive level of livelihood capital of people with disabilities is obviously characterized with “level difference”. High-livelihood capital prefecture-level cities are represented by Guangzhou, Zhaoqing and Qingyuan while middle- and low-livelihood capital prefecture-level cities are distributed dispersedly, mainly in Shaoguan in the northern Guangdong, Yunfu and Yangjiang in the western Guangdong, Chaozhou, Jieyang and Shanwei in the eastern Guangdong. The overall distribution pattern is characterized by “large disperse and small cluster”. 2) Obvious differences are shown in different types of livelihood capital levels of people with disabilities. Regions with higher financial and social capital level are mainly distributed in the northern Guangdong. Labor, rehabilitation and material capital level are highest in Guangzhou while other areas are relatively low and scattered. Five types of capital in coastal city in the eastern China and Yunfu, Maoming, Yangjiang of the western Guangdong is relatively low. 3) The total amount of livelihood capital of people with disabilities demonstrates significant spatial autocorrelation and regions with similar size tend to cluster geographically; distinctive differences are shown between hot regions and unpopular regions, with cluster distribution characteristics on the whole. Thereof, hot regions are mainly distributed in Guangzhou and Qingyuan while unpopular regions are mainly in Jieyang and Shanwei in the eastern Guangdong. Both have small coverage. The analysis finds that policy environment, economy level, education and training and rehabilitation service are all important factors that affect the spatial distribution pattern of livelihood capital of people with disabilities in Guangdong Province.

Key words: livelihood capital, spatial difference, people with disabilities, Guangdong Province

中图分类号: 

  • F213