IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v147y2020i3d10.1007_s11205-019-02183-z.html
   My bibliography  Save this article

Social Deprivation and Rural Public Health in China: Exploring the Relationship Using Spatial Regression

Author

Listed:
  • Heyuan You

    (Zhejiang University of Finance and Economics)

  • Deshao Zhou

    (Zhejiang University of Finance and Economics)

  • Shenyan Wu

    (Zhejiang University of Finance and Economics)

  • Xiaowei Hu

    (Zhejiang University of Finance and Economics)

  • Chenmeng Bie

    (Zhejiang University of Finance and Economics)

Abstract

Rural public health still faces serious challenges in China. These challenges in rural public health reduce peasants’ well-being and social satisfaction. Examining the social factors of rural public health helps improve the public health in rural areas. This study attempts to characterize the relationship between social deprivation and rural public health in China. In particular, 14 indicators are integrated for assessing social deprivation, which is described from five domains: income, employment, education, housing and demographic structure. The analytic hierarchy process, Delphi method, entropy method and coefficient variation method are selected as weight determining methods to evaluate the corresponding weights for the indicators of social deprivation. Then, the best models are selected from ordinary least squares regression models, spatial lag models and spatial error models according to the performances of these models. The results of assessing social deprivation indicate that the spatial distribution of social deprivation has great heterogeneity in rural China. In addition, the relative levels of social deprivation among 31 provinces that are estimated by different weight determination methods remain stable. Finally, the spatial regression models reveal that social deprivation is a positive contributor to the maternal mortality rate and child mortality rate, while social deprivation presents negative relationships with the proportion of healthy elders.

Suggested Citation

  • Heyuan You & Deshao Zhou & Shenyan Wu & Xiaowei Hu & Chenmeng Bie, 2020. "Social Deprivation and Rural Public Health in China: Exploring the Relationship Using Spatial Regression," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(3), pages 843-864, February.
  • Handle: RePEc:spr:soinre:v:147:y:2020:i:3:d:10.1007_s11205-019-02183-z
    DOI: 10.1007/s11205-019-02183-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-019-02183-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11205-019-02183-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yuan Yuan & Fulong Wu, 2013. "Regional Social Inequalities and Social Deprivation in G uangdong Province, C hina," Growth and Change, Wiley Blackwell, vol. 44(1), pages 149-167, March.
    2. Longjin Chen & Jian Huang & Jianjun Li, 2017. "Fiscal Decentralization, Satisfaction with Social Services, and Inequality Under the Hukou System," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(1), pages 377-394, May.
    3. Liu, Hong & Fang, Hai & Zhao, Zhong, 2013. "Urban–rural disparities of child health and nutritional status in China from 1989 to 2006," Economics & Human Biology, Elsevier, vol. 11(3), pages 294-309.
    4. Krieger, J. & Higgins, D.L., 2002. "Housing and health: Time again for public health action," American Journal of Public Health, American Public Health Association, vol. 92(5), pages 758-768.
    5. Xu, B. & Fochsen, G. & Xiu, Y. & Thorson, A. & Kemp, J. R. & Jiang, Q. W., 2004. "Perceptions and experiences of health care seeking and access to TB care--a qualitative study in Rural Jiangsu Province, China," Health Policy, Elsevier, vol. 69(2), pages 139-149, August.
    6. James O. Bukenya & Tesfa G. Gebremedhin & Peter V. Schaeffer, 2003. "Analysis of Rural Quality of Life and Health: A Spatial Approach," Economic Development Quarterly, , vol. 17(3), pages 280-293, August.
    7. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
    8. Shiliang Su & Yue Gong & Bingqing Tan & Jianhua Pi & Min Weng & Zhongliang Cai, 2017. "Area Social Deprivation and Public Health: Analyzing the Spatial Non-stationary Associations Using Geographically Weighed Regression," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(3), pages 819-832, September.
    9. Singh, G.K. & Kogan, M.D., 2007. "Widening socioeconomic disparities in US childhood mortality, 1969-2000," American Journal of Public Health, American Public Health Association, vol. 97(9), pages 1658-1665.
    10. Michael Noble & Helen Barnes & Gemma Wright & Benjamin Roberts, 2010. "Small Area Indices of Multiple Deprivation in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 95(2), pages 281-297, January.
    11. Andrada I. Pacheco & Timothy J. Tyrrell, 2002. "Testing spatial patterns and growth spillover effects in clusters of cities," Journal of Geographical Systems, Springer, vol. 4(3), pages 275-285, October.
    12. Paul Voss & David Long & Roger Hammer & Samantha Friedman, 2006. "County child poverty rates in the US: a spatial regression approach," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 25(4), pages 369-391, August.
    13. John Haisken‐DeNew & Mathias Sinning, 2010. "Social Deprivation Of Immigrants In Germany," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(4), pages 715-733, December.
    14. Mario Lucchini & Christine Butti & Sara Della Bella & Angela Lisi, 2018. "The application of a topological clustering technique to capture forms and dynamics of deprivation in contemporary Switzerland," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 227-248, January.
    15. Min Weng & Jianhua Pi & Bingqing Tan & Shiliang Su & Zhongliang Cai, 2017. "Area Deprivation and Liver Cancer Prevalence in Shenzhen, China: A Spatial Approach Based on Social Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 317-332, August.
    16. Danmeng Feng & Weiwei Chen & Xiaoyuan Chu, 2016. "Study of Comprehensive Evaluation of Poverty Reduction Effect for Chinese Poverty-Stricken Areas-Based on the Data of Chinese 14 Contiguous Poor Areas," Applied Economics and Finance, Redfame publishing, vol. 3(3), pages 37-44, August.
    17. Miaomiao Tian & Da Feng & Xi Chen & Yingchun Chen & Xi Sun & Yuanxi Xiang & Fang Yuan & Zhanchun Feng, 2013. "China's Rural Public Health System Performance: A Cross-Sectional Study," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-10, December.
    18. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    19. Nyiwul Mabughi & Tarek Selim, 2006. "Poverty as social deprivation: a survey," Review of Social Economy, Taylor & Francis Journals, vol. 64(2), pages 181-204.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiang Zhang & Liangkun Deng & Bi Wu & Shichun Gao & Yi Xiao, 2022. "Low-Impact Optimal Operation of a Cascade Sluice-Reservoir System for Water-Society-Ecology Trade-Offs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 6131-6148, December.
    2. Chao Yu & Junbo Gao & Yong Han & Yimin Wang & Jianwu Sun, 2022. "Eliminating deprivation and breaking through dependence: A mechanism to help poor households achieve sustainable livelihoods by targeted poverty alleviation strategy," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1436-1456, September.
    3. You, Heyuan & Zhang, Jinrong & Song, Yan, 2022. "Assessing conflict of farmland institutions using credibility theory: Implications for socially acceptable land use," Land Use Policy, Elsevier, vol. 112(C).
    4. Heyuan You & Xin Wu & Xuxu Guo, 2020. "Distribution of COVID-19 Morbidity Rate in Association with Social and Economic Factors in Wuhan, China: Implications for Urban Development," IJERPH, MDPI, vol. 17(10), pages 1-14, May.
    5. Jianying Xiao & Yan Song & Heyuan You, 2020. "Explaining Peasants’ Intention and Behavior of Farmland Trusteeship in China: Implications for Sustainable Agricultural Production," Sustainability, MDPI, vol. 12(14), pages 1-17, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yizhou Wu & Peilei Fan & Heyuan You, 2018. "Spatial Evolution of Producer Service Sectors and Its Influencing Factors in Cities: A Case Study of Hangzhou, China," Sustainability, MDPI, vol. 10(4), pages 1-23, March.
    2. Maia A Call & Paul R Voss, 2016. "Spatio-temporal dimensions of child poverty in America, 1990–2010," Environment and Planning A, , vol. 48(1), pages 172-191, January.
    3. Guie Li & Zhongliang Cai & Ji Liu & Xiaojian Liu & Shiliang Su & Xinran Huang & Bozhao Li, 2019. "Multidimensional Poverty in Rural China: Indicators, Spatiotemporal Patterns and Applications," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1099-1134, August.
    4. Michael R. Kramer & Eric B. Schneider & Jennifer B. Kane & Claire Margerison-Zilko & Jessica Jones-Smith & Katherine King & Pamela Davis-Kean & Joseph G. Grzywacz, 2017. "Getting Under the Skin: Children’s Health Disparities as Embodiment of Social Class," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(5), pages 671-697, October.
    5. Craig Wesley Carpenter & F. Carson Mencken & Charles M. Tolbert & Michael Lotspeich, 2018. "Locally Owned Bank Commuting Zone Concentration and Employer Start-Ups in Metropolitan, Micropolitan and Non-Core Rural Commuting Zones from 1970-2010," Working Papers 18-34, Center for Economic Studies, U.S. Census Bureau.
    6. You, Heyuan & Hu, Xiaowei & Wu, Yizhou, 2018. "Farmland use intensity changes in response to rural transition in Zhejiang province, China," Land Use Policy, Elsevier, vol. 79(C), pages 350-361.
    7. Shukui Tan & Yi Zhao & Wenke Huang, 2019. "Neighborhood Social Disadvantage and Bicycling Behavior: A Big Data-Spatial Approach Based on Social Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(3), pages 985-999, October.
    8. Wang, Qian & Lan, Zili, 2019. "Park green spaces, public health and social inequalities: Understanding the interrelationships for policy implications," Land Use Policy, Elsevier, vol. 83(C), pages 66-74.
    9. Enrico Ivaldi & Andrea Ciacci & Riccardo Soliani, 2020. "Urban deprivation in Argentina: A POSET analysis," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1723-1747, December.
    10. Rodrigo Javier Durán & Miguel Ángel Condorí, 2019. "Deprivation Index for Small Areas Based on Census Data in Argentina," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 331-363, January.
    11. Zhao, Mingxuan & Lv, Lianhong & Wu, Jing & Wang, Shen & Zhang, Nan & Bai, Zihan & Luo, Hong, 2022. "Total factor productivity of high coal-consuming industries and provincial coal consumption: Based on the dynamic spatial Durbin model," Energy, Elsevier, vol. 251(C).
    12. Anna M. Ferragina & Giulia Nunziante, 2018. "Are Italian firms performances influenced by innovation of domestic and foreign firms nearby in space and sectors?," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 45(3), pages 335-360, September.
    13. Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Stahre, Johan, 2017. "Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030," International Journal of Production Economics, Elsevier, vol. 191(C), pages 154-169.
    14. Vicente Rios Ibañez, 2014. "What drives regional unemployment convergence?," ERSA conference papers ersa14p924, European Regional Science Association.
    15. John Komlos, 2009. "Recent Trends in Height by Gender and Ethnicity in the US in Relation to Levels of Income," NBER Working Papers 14635, National Bureau of Economic Research, Inc.
    16. Seung-Jin Han & Won-Jae Lee & So-Hee Kim & Sang-Hoon Yoon & Hyunwoong Pyun, 2022. "Assessing Expected Long-term Benefits for the Olympic Games: Delphi-AHP Approach from Korean Olympic Experts," SAGE Open, , vol. 12(4), pages 21582440221, December.
    17. Tomasz Kijek & Anna Matras-Bolibok, 2020. "Knowledge-intensive Specialisation and Total Factor Productivity (TFP) in the EU Regional Scope," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(1), pages 181-188.
    18. Kaylee Ramage & Meaghan Bell & Lisa Zaretsky & Laura Lee & Katrina Milaney, 2021. "Is the Right to Housing Being Realized in Canada? Learning from the Experiences of Tenants in Affordable Housing Units in a Large Canadian City," Societies, MDPI, vol. 11(2), pages 1-9, June.
    19. Prianto Budi Saptono & Gustofan Mahmud & Intan Pratiwi & Dwi Purwanto & Ismail Khozen & Muhamad Akbar Aditama & Siti Khodijah & Maria Eurelia Wayan & Rina Yuliastuty Asmara & Ferry Jie, 2023. "Development of Climate-Related Disclosure Indicators for Application in Indonesia: A Delphi Method Study," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    20. Parent, Olivier & LeSage, James P., 2011. "A space-time filter for panel data models containing random effects," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 475-490, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:soinre:v:147:y:2020:i:3:d:10.1007_s11205-019-02183-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.