Adv Search

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Spatial Differentiation and Influencing Mechanism of Medical Care Accessibility in Beijing: A Migrant Equality Perspective

ZHAO Meifeng,  LIU Shenghe,  QI Wei

downloadPDF
文章导航 > Chinese Geographical Science  > 2018 >  28(2): 353-362
ZHAO Meifeng, LIU Shenghe, QI Wei. Spatial Differentiation and Influencing Mechanism of Medical Care Accessibility in Beijing: A Migrant Equality Perspective[J]. 中国地理科学, 2018, 28(2): 353-362. doi: 10.1007/s11769-018-0950-x
引用本文: ZHAO Meifeng, LIU Shenghe, QI Wei. Spatial Differentiation and Influencing Mechanism of Medical Care Accessibility in Beijing: A Migrant Equality Perspective[J]. 中国地理科学, 2018, 28(2): 353-362. doi: 10.1007/s11769-018-0950-x
shu
ZHAO Meifeng, LIU Shenghe, QI Wei. Spatial Differentiation and Influencing Mechanism of Medical Care Accessibility in Beijing: A Migrant Equality Perspective[J]. Chinese Geographical Science, 2018, 28(2): 353-362. doi: 10.1007/s11769-018-0950-x
Citation: ZHAO Meifeng, LIU Shenghe, QI Wei. Spatial Differentiation and Influencing Mechanism of Medical Care Accessibility in Beijing: A Migrant Equality Perspective[J]. Chinese Geographical Science, 2018, 28(2): 353-362. doi: 10.1007/s11769-018-0950-x
shu

Spatial Differentiation and Influencing Mechanism of Medical Care Accessibility in Beijing: A Migrant Equality Perspective

doi: 10.1007/s11769-018-0950-x
  • 1.

    School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China;

  • 2.

    Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing 100101, China

基金项目: Under the auspices of National Natural Science Foundation of China (No. 41701151), MOE (Ministry of Education in China) Project of Humanities and Social Sciences (No. 17YJCZH256), Doctoral Project of Tianjin Normal University (No. 52XB1621)
详细信息
    通讯作者:

    LIU Shenghe.E-mail:liush@igsnrr.ac.cn

Spatial Differentiation and Influencing Mechanism of Medical Care Accessibility in Beijing: A Migrant Equality Perspective

  • 1.

    School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China;

  • 2.

    Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing 100101, China

Funds: Under the auspices of National Natural Science Foundation of China (No. 41701151), MOE (Ministry of Education in China) Project of Humanities and Social Sciences (No. 17YJCZH256), Doctoral Project of Tianjin Normal University (No. 52XB1621)
More Information
    Corresponding author: LIU Shenghe.E-mail:liush@igsnrr.ac.cn

  • 摘要: Spatial equality of access to basic public services, especially medical care services which are directly related to life safety, is the first step to achieve the goal of equalization of basic public services for all the people proposed by central government of China. Using the spatial analysis and the statistical analysis, this study evaluates the spatial differentiation of medical care facilities accessibility by constructing STT (Shortest Travel-Time) and SAI (Spatial Accessibility Index). And then this study explores the neighborhood effects on the medical care facilities accessibility in Beijing, with a particular focus on the effect of neighborhood migrant proportion by constructing spatial dependent regression model. The spatial accessibility analysis of medical care facilities show that the spatial distribution of medical care facilities was basically consistent with administrative regions but not with population demands. Bivariate LISA cluster maps identify that suburban areas are the overlapped clusters of high percent of migrants and limited medical care services. This is associated with the public service allocation rule in China, which stresses equality within urban areas and within rural areas but overlooks equality between urban areas and rural areas; and stresses local resident demands but overlooks migrant demands. To estimate the effects on medical care accessibility of neighborhood migrant proportion, spatial dependence models are applied due to spatial dependence of accessibility of medical care facilities. The regression results show that neighborhoods with high percent of migrants, even conditioning on neighborhood SES, are related to limited spatial accessibility of medical care services. Besides neighborhood characteristics, another important factor influencing spatial accessibility of medical care services is the process of spatial spillover effects. This indicates that the attenuate accessibility of medical care services for migrants is not only because of their own constraints but also because of their proximity to other disadvantaged neighborhoods. Therefore, it is urgently needed to increase the medical facilities in the suburban areas, to take into account migrants' demands and to reduce residential segregation between local residents and migrants for local governments to achieve the goal of equalization of medical care service.
    Abstract: Spatial equality of access to basic public services, especially medical care services which are directly related to life safety, is the first step to achieve the goal of equalization of basic public services for all the people proposed by central government of China. Using the spatial analysis and the statistical analysis, this study evaluates the spatial differentiation of medical care facilities accessibility by constructing STT (Shortest Travel-Time) and SAI (Spatial Accessibility Index). And then this study explores the neighborhood effects on the medical care facilities accessibility in Beijing, with a particular focus on the effect of neighborhood migrant proportion by constructing spatial dependent regression model. The spatial accessibility analysis of medical care facilities show that the spatial distribution of medical care facilities was basically consistent with administrative regions but not with population demands. Bivariate LISA cluster maps identify that suburban areas are the overlapped clusters of high percent of migrants and limited medical care services. This is associated with the public service allocation rule in China, which stresses equality within urban areas and within rural areas but overlooks equality between urban areas and rural areas; and stresses local resident demands but overlooks migrant demands. To estimate the effects on medical care accessibility of neighborhood migrant proportion, spatial dependence models are applied due to spatial dependence of accessibility of medical care facilities. The regression results show that neighborhoods with high percent of migrants, even conditioning on neighborhood SES, are related to limited spatial accessibility of medical care services. Besides neighborhood characteristics, another important factor influencing spatial accessibility of medical care services is the process of spatial spillover effects. This indicates that the attenuate accessibility of medical care services for migrants is not only because of their own constraints but also because of their proximity to other disadvantaged neighborhoods. Therefore, it is urgently needed to increase the medical facilities in the suburban areas, to take into account migrants' demands and to reduce residential segregation between local residents and migrants for local governments to achieve the goal of equalization of medical care service.
  • [1] Anselin L, 1995. Local indicators of spatial association:LISA. Geographical Analysis, 27(2):93-115.
    [2] Anselin L, Florax R J G M, Rey S J, 2004. Advances in spatial econometrics. Springer-Verlag, 2004.
    [3] Center for Health Statistics and Information, NHFPC. Analysis report of national health services survey in China. Available at:http://www.nhfpc.gov.cn/mohwsbwstjxxzx/s8211/201610/9f109ff40e9346fca76dd82cecf419ce.shtml. 2016-10-26. (in Chinese)
    [4] Chen Li, Zhang Wenzhong, Yang Yizhao, 2013. Residents' incongruence between reality and preference of accessibility to urban facilities in Beijing. Acta Geographica Sinica, 68(8):1071-1081. (in Chinese)
    [5] Eicher C L, Brewer C A, 2001. Dasymetric mapping and areal interpolation:implementation and evaluation. American Cartographer, 28(2):125-138.
    [6] Feng J, Wang F, Zhou Y, 2013. The spatial restructuring of population in metropolitan Beijing:toward polycentricity in the post-reform era. Urban Geography, 30 (7):779-802. (in Chinese)
    [7] Feng J, Zhou Y, 2008. Restructuring of socio-spatial differentiation in Beijing in the Transition Period. Acta Geographica Sinica, 63(8):829-844. (in Chinese)
    [8] Fu Jiasen, Wang Li, Zhao Dongxia et al., 2014. Access the accessibility of public medical care facilities:a case sty of Dalian.
    [9] Health Economics Research, (11):27-30. (in Chinese)
    [10] Gao Junbo, Zhou Chunshan, Jiang Haiyan et al., 2010. The research on the spatial differentiation of the urban public service facilities distribution in Guangzhou. Human Geography, 25(3):78-83. (in Chinese)
    [11] Hart J T, 1971. The inverse care law. The Lancet, 297(7696):405-412. doi: 10.1016/S0140-6736(71)92410-X
    [12] Huang Y Q, Jiang L W, 2009. Housing inequality in transitional Beijing. International Journal of Urbanand Regional Research, 33(4):936-956. doi:10.1111/j.1468-2427.2009. 00890.x
    [13] Kirby J B, Kaneda T, 2005. Neighborhood socioeconomic disadvantage and access to health care. Journal of Health and Social Behavior, 46(1):15-31.
    [14] Kirby J B, 2008. Poor people, poor places and access to health care in the United States. Social Forces, 87(1):325-355.
    [15] Logan J R, Bian Y J, Bian F Q, 1999. Housing inequality in urban China in the 1990s. International Journal of Urban and Regional Research, 23(1):7-25. doi: 10.1111/1468-2427.00176
    [16] Macintyre S, Maciver S, Sooman A, 1993. Area, class and health:should we be focusing on places or people? Journal of Social Policy, 22(2):213-234. doi: 10.1017/S0047279400019310
    [17] Macintyre S, 2007. Deprivation amplification revisited; or, is it always true that poorer places have poorer access to resources for healthy diets and physical activity? International Journal of Behavioral Nutritionand Physical Activity, 4:32. doi:10. 1186/1479-5868-4-32
    [18] Mennis J, 2003. Generating surface models of population using dasymetric mapping. Professional Geographer, 55(1):31-42.
    [19] Qi Lanlan, Zhou Suhong, Yan Xiaopei, 2014. Endpoint attractive factors of medical facilities' accessibility:based on GPS floating car data in Guangzhou. Scientia Geographica Sinica, 34(5):580-586. (in Chinese)
    [20] Radke J, Mu L, 2000. Spatial decompositions, modeling and mapping service regions to predict access to social programs. Geographic Information Sciences, 6(2):105-112. doi:10. 1080/10824000009480538
    [21] Sampson R J, Morenoff J D, Gannon-Rowley T, 2002. Assessing ‘neighborhood effects’:social processes and new directions in research. Annual Review of Sociology, 28(1):443-478.
    [22] Small M L, Jacobs E M, Massengill R P, 2008. Why organizational ties matter for neighborhood effects:resource access through childcare centers. Social Forces, 87(1):387-414.
    [23] Song Zhengna, Chen Wen, 2009. Measuring spatial accessibility to health care facilities based on potential model. Progress in Geography, 28(6):848-854. (in Chinese)
    [24] Wang F, Luo W, 2005. Assessing spatial and nonspatial factors for healthcare access:towards an integrated approach to defining health professional shortage areas. Health & Place, 11(2):131-146.
    [25] Wang Lijuan, 2014. Research on Spatial Equity of Urban Public Facilities:A Case Study of Chongqing. Chongqing:Chongqing University. (in Chinese)
    [26] Wang Xingping, Hu Pan, Shen Sisi et al., 2014. Spatial characters of public service facilities from social differentiation viewpoint. Planner, 30(5):17-24. (in Chinese)
    [27] Wang Y P, Wang Y L, Wu J S, 2010. Housing migrant workers in rapidly urbanizing regions:a study of the Chinese model in Shenzhen. Housing Studies, 25(1):83-100. doi:10.1080/026 73030903362019
    [28] Wilson W J, 1987. The Truly Disadvantaged. Chicago:The University of Chicago Press.
    [29] Wu F L, 2002. Sociospatial differentiation in urban China:evidence from Shanghai's real estate markets. Environment and Planning A, 34(9):1591-1615. doi: 10.1068/a34196
    [30] Wu Jianjun, Kong Yunfeng, Li Bin, 2008. The spatial accessibility analysis of rural medical facilities based on GIS:a case study of Lankao county, Henan Province. Human Geography, 23(5):37-42. (in Chinese)
    [31] Wu W P, 2008. Migrant settlement and spatial distribution in metropolitan Shanghai. The Professional Geographer, 60(1):101-120. doi: 10.1080/00330120701724210
    [32] Yin Haiwei, Xu Jian'gang, 2009. Spatial accessibility and equity of parks in Shanghai. Urban Studies, 16(6):71-76. (in Chinese)
    [33] Zhong Shaoying, Yang Xin, Chen Rui, 2016. The accessibility measurement of hierarchy public service facilities based on multi-mode network dataset and the two-step 2SFCA:a case study of Beijing's medical facilities. Geographical Research, 35(4):731-744. (in Chinese)
    [34] Zhou Haiqing, Gao Dandan, Chang Wenhu et al., 2011. Demand of floating population for health service and the utilization in one district of Beijing. Chinese General Practice, 14(4):373-376. (in Chinese)
  • [1] LI Ang, CHEN Jie, QIAN Tianlu, ZHANG Wenhan, WANG Jiechen.  Spatial Accessibility to Shopping Malls in Nanjing, China: Comparative Analysis with Multiple Transportation Modes . Chinese Geographical Science, 2020, 30(4): 710-724. doi: 10.1007/s11769-020-1127-y
    [2] GUO Peipei, SU Yuebo, WAN Wuxing, LIU Weiwei, ZHANG Hongxing, SUN Xu, OUYANG Zhiyun, WANG Xiaoke.  Urban Plant Diversity in Relation to Land Use Types in Built-up Areas of Beijing . Chinese Geographical Science, 2018, 28(1): 100-110. doi: 10.1007/s11769-018-0934-x
    [3] XI Guangliang, ZHEN Feng, Puel GILLES, Fernandez VALERIE.  Spatio-temporal Fragmentation of Leisure Activities in Information Era: Empirical Evidence from Nanjing, China . Chinese Geographical Science, 2017, 27(1): 137-150. doi: 10.1007/s11769-017-0851-4
    [4] LI Jiaming, ZHANG Wenzhong, YU Jianhui, CHEN Hongxia.  Industrial Spatial Agglomeration Using Distance-based Approach in Beijing, China . Chinese Geographical Science, 2015, 25(6): 698-712. doi: 10.1007/s11769-015-0770-1
    [5] YANG Zhenshan, LIANG Jinshe, CAI Jianming.  Urban Economic Cluster Template and Its Dynamics of Beijing, China . Chinese Geographical Science, 2014, 0(6): 740-750. doi: 10.1007/s11769-014-0686-1
    [6] LUO Shanghua, MAO Qizheng, MA Keming.  Comparison on Soil Carbon Stocks Between Urban and Suburban Topsoil in Beijing, China . Chinese Geographical Science, 2014, 0(5): 551-561. doi: 10.1007/s11769-014-0709-y
    [7] HU Yecui, ZHENG Yunmei, ZHENG Xinqi.  Simulation of Land-use Scenarios for Beijing Using CLUE-S and Markov Composite Models . Chinese Geographical Science, 2013, 23(1): 92-100.
    [8] ZHAO Ying, CHAI Yanwei.  Residents’ Activity-travel Behavior Variation by Communities in Beijing, China . Chinese Geographical Science, 2013, 23(4): 492-505. doi: 10.1007/s11769-013-0616-7
    [9] ZHANG Xiaoping, HUANG Pingting, SUN Lei, WANG Zhaohong.  Spatial Evolution and Locational Determinants of High-tech Industries in Beijing . Chinese Geographical Science, 2013, 23(2): 249-260.
    [10] KUANG Wenhui.  Spatio-temporal Patterns of Intra-urban Land Use Change in Beijing, China Between 1984 and 2008 . Chinese Geographical Science, 2012, 22(2): 210-220.
    [11] CAO Guangzhong, LIU Tao, LIU Hui, MIAO Yangbing.  Changing Spatial and Structural Patterns of Non-agricultural Activities in Outward-moving Beijing Urban Fringe . Chinese Geographical Science, 2012, 22(6): 718-729.
    [12] ZHU Lin, CHEN Yun, GONG Huili, et al..  Economic Value Evaluation of Wetland Service in Yeyahu Wetland Nature Reserve, Beijing . Chinese Geographical Science, 2011, 21(6): 744-752.
    [13] XIAO Yu, AN Kai, XIE Gaodi, LU Chunxia, ZHANG Biao.  Carbon Sequestration in Forest Vegetation of Beijing at Sublot Level . Chinese Geographical Science, 2011, 21(3): 279-289.
    [14] HE Yan, CHEN Tian, ZHANG Meng.  Utilization Pattern of Olympic Parks and Its Application in Beijing . Chinese Geographical Science, 2010, 20(5): 414-422. doi: 10.1007/s11769-010-0415-3
    [15] XIE Gaodi, LI Wenhua, XIAO Yu, ZHANG Biao, LU Chunxia, AN Kai, WANG Jixing, XU Kang, WANG Jinzeng.  Forest Ecosystem Services and Their Values in Beijing . Chinese Geographical Science, 2010, 20(1): 51-58. doi: 10.1007/s11769-010-0051-y
    [16] CHAI Yanwei, SHEN Jie, LONG Tao.  Downtown Retailing Development Under Suburbanization——A Case Study of Beijing . Chinese Geographical Science, 2007, 17(1): 1-9. doi: 10.1007/s11769-007-0001-5
    [17] SUN Tie-shan, LI Guo-ping, LU Ming-hua.  STUDY ON BEIJING'S EMERGING MOBILE COMMUNICATION INDUSTRIAL CLUSTER AND ITS POLICY IMPLICATIONS . Chinese Geographical Science, 2003, 13(2): 104-111.
    [18] GU Chao-lin.  SOCIAL POLARIZATION AND SEGREGATION IN BEIJING . Chinese Geographical Science, 2001, 11(1): 17-26.
    [19] 张佳华, 孔昭宸.  STUDY ON VEGETATION AND CLIMATE CHANGES IN BEIJING REGION SINCE LATE PLEISTOCENE . Chinese Geographical Science, 1999, 9(3): 243-249.
    [20] 杨开忠.  BASIC FEATURES AND TRENDS OF THE ECONOMIC BASE OF BEIJING . Chinese Geographical Science, 1999, 9(1): 12-19.
  • 加载中
WeChat 点击查看大图
计量
  • 文章访问数:  380
  • HTML全文浏览量:  17
  • PDF下载量:  532
  • 被引次数: 0
出版历程
  • 收稿日期:  2017-05-17
  • 修回日期:  2017-09-15
  • 刊出日期:  2018-04-27

Spatial Differentiation and Influencing Mechanism of Medical Care Accessibility in Beijing: A Migrant Equality Perspective

doi: 10.1007/s11769-018-0950-x
  • 1. School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China;
  • 2. Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    • 基金项目:  Under the auspices of National Natural Science Foundation of China (No. 41701151), MOE (Ministry of Education in China) Project of Humanities and Social Sciences (No. 17YJCZH256), Doctoral Project of Tianjin Normal University (No. 52XB1621)
    通讯作者: LIU Shenghe.E-mail:liush@igsnrr.ac.cn
  • 收稿日期: 2017-05-17
  • 修回日期: 2017-09-15
  • 刊出日期: 2018-04-27

摘要: Spatial equality of access to basic public services, especially medical care services which are directly related to life safety, is the first step to achieve the goal of equalization of basic public services for all the people proposed by central government of China. Using the spatial analysis and the statistical analysis, this study evaluates the spatial differentiation of medical care facilities accessibility by constructing STT (Shortest Travel-Time) and SAI (Spatial Accessibility Index). And then this study explores the neighborhood effects on the medical care facilities accessibility in Beijing, with a particular focus on the effect of neighborhood migrant proportion by constructing spatial dependent regression model. The spatial accessibility analysis of medical care facilities show that the spatial distribution of medical care facilities was basically consistent with administrative regions but not with population demands. Bivariate LISA cluster maps identify that suburban areas are the overlapped clusters of high percent of migrants and limited medical care services. This is associated with the public service allocation rule in China, which stresses equality within urban areas and within rural areas but overlooks equality between urban areas and rural areas; and stresses local resident demands but overlooks migrant demands. To estimate the effects on medical care accessibility of neighborhood migrant proportion, spatial dependence models are applied due to spatial dependence of accessibility of medical care facilities. The regression results show that neighborhoods with high percent of migrants, even conditioning on neighborhood SES, are related to limited spatial accessibility of medical care services. Besides neighborhood characteristics, another important factor influencing spatial accessibility of medical care services is the process of spatial spillover effects. This indicates that the attenuate accessibility of medical care services for migrants is not only because of their own constraints but also because of their proximity to other disadvantaged neighborhoods. Therefore, it is urgently needed to increase the medical facilities in the suburban areas, to take into account migrants' demands and to reduce residential segregation between local residents and migrants for local governments to achieve the goal of equalization of medical care service.

English Abstract

ZHAO Meifeng, LIU Shenghe, QI Wei. Spatial Differentiation and Influencing Mechanism of Medical Care Accessibility in Beijing: A Migrant Equality Perspective[J]. 中国地理科学, 2018, 28(2): 353-362. doi: 10.1007/s11769-018-0950-x
引用本文: ZHAO Meifeng, LIU Shenghe, QI Wei. Spatial Differentiation and Influencing Mechanism of Medical Care Accessibility in Beijing: A Migrant Equality Perspective[J]. 中国地理科学, 2018, 28(2): 353-362. doi: 10.1007/s11769-018-0950-x
shu
ZHAO Meifeng, LIU Shenghe, QI Wei. Spatial Differentiation and Influencing Mechanism of Medical Care Accessibility in Beijing: A Migrant Equality Perspective[J]. Chinese Geographical Science, 2018, 28(2): 353-362. doi: 10.1007/s11769-018-0950-x
Citation: ZHAO Meifeng, LIU Shenghe, QI Wei. Spatial Differentiation and Influencing Mechanism of Medical Care Accessibility in Beijing: A Migrant Equality Perspective[J]. Chinese Geographical Science, 2018, 28(2): 353-362. doi: 10.1007/s11769-018-0950-x
shu

    全文HTML

参考文献 (34)

目录

    /

    返回文章
    返回

    Copyright © Editorial office of Chinese Geographical Science

    Tel: +86-0431-85542219   Email: egeoscien@neigae.ac.cn