广东省残疾人生计资本的空间差异及影响因素研究

doi:10.13249/j.cnki.sgs.2017.09.007

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

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.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. 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/Abstract

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：① 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。② 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。③ 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

吴清, 吴黎, 李细归, 周雯. 广东省残疾人生计资本的空间差异及影响因素研究[J]. 地理科学, 2017, 37(9): 1345-1353.

Qing Wu, Li Wu, Xigui Li, Wen Zhou. Spatial Difference and Influencing Factors of Livelihood Capital of People with Disabilities in Guangdong Province[J]. SCIENTIA GEOGRAPHICA SINICA, 2017, 37(9): 1345-1353.

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一级指标	二级指标	三级指标（%）	三级指标代码	权重
残疾人生计资本	人力资本	普通高等院校残疾考生达到录取分数线人数占比	X1	0.24
		城乡残疾人就业人数占比	X2	0.24
		残疾人实用技术培训占比	X3	0.25
		残疾人城镇职业培训人数占比	X4	0.26
	社会资本	扶持贫困残疾人占比	X5	0.32
		参加体育活动人次数占比	X6	0.39
		残疾人法律救助（援助）工作机构占比	X7	0.29
	康复资本	已开展社区康复服务社区（村）数占比	X8	0.33
		已建社区康复服务档案人数占比	X9	0.32
		接受社区康复服务累计人数占比	X10	0.34
	物质资本	本年度危房改造户数占比	X11	0.34
		辅助器具供应件数占比	X12	0.33
		综合服务设施累计建设规模占比	X13	0.33
	金融资本	残疾人已纳入最低生活保障范围人数占比	X14	0.32
		享受生活和护理补贴人数占比	X15	0.30
		残疾人其他救助救济人数占比	X16	0.37

资本匹配类型	地市
人力资本缺乏型	云浮、阳江、珠海、东莞、惠州、汕尾、揭阳、潮州
社会资本缺乏型	茂名、云浮、阳江、汕尾
康复资本缺乏型	茂名、云浮、佛山、中山、珠海、东莞、深圳、韶关、河源、汕尾、潮州、汕头
物质资本缺乏型	云浮、阳江、佛山、中山、珠海、东莞、韶关、汕尾、揭阳、潮州、汕头
金融资本缺乏型	阳江、珠海、东莞、惠州、揭阳
多种资本缺乏型	云浮、阳江、珠海、东莞、惠州、汕尾、揭阳、潮州、茂名、佛山、中山、韶关、汕头
资本搭配合理型	广州、湛江、肇庆、梅州、清远、江门

广东省残疾人生计资本的空间差异及影响因素研究

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

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