IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i11p2510-d181703.html
   My bibliography  Save this article

A Spatio-Temporal Pattern and Socio-Economic Factors Analysis of Improved Sanitation in China, 2006–2015

Author

Listed:
  • Qing Luo

    (Chinese Center for Disease Control and Prevention, Beijing 102206, China)

  • Mengjie Zhang

    (National Center for Rural Water Supply Technical Guidance, Chinese Center for Disease Control and Prevention, Beijing 102200, China)

  • Wei Yao

    (National Center for Rural Water Supply Technical Guidance, Chinese Center for Disease Control and Prevention, Beijing 102200, China)

  • Yanfen Fu

    (National Center for Rural Water Supply Technical Guidance, Chinese Center for Disease Control and Prevention, Beijing 102200, China)

  • Haichun Wei

    (National Center for Rural Water Supply Technical Guidance, Chinese Center for Disease Control and Prevention, Beijing 102200, China)

  • Yong Tao

    (National Center for Rural Water Supply Technical Guidance, Chinese Center for Disease Control and Prevention, Beijing 102200, China)

  • Jianjun Liu

    (Chinese Center for Disease Control and Prevention, Beijing 102206, China)

  • Hongyan Yao

    (Chinese Center for Disease Control and Prevention, Beijing 102206, China)

Abstract

Ensuring an adequate and safe access to sanitation is essential to prevent diseases. Using provincial spatial panel data reported in the China Health Statistical Yearbook and the China Statistical Yearbook, this paper analyzed the spatio-temporal characteristics of improved rural sanitation in 30 Chinese provinces during the period 2006–2015, and analyzed factors that may affect improved sanitation rates in rural China. Spatial autocorrelations of improved sanitation rates were computed via Global and Local Moran’s I firstly, and then, inter-provincial disparities of improved sanitation were assessed by using the Theil index estimator; finally, the spatial panel model was employed to examine the potential socio-economic factors. Spatial autocorrelations results suggested that the provincial improved sanitation rates changes affect both the provinces themselves and the adjacent regions; Analysis of the spatial panel model revealed that factors such as GDP per capita, investment proportion ratio, centralized water supply, rural residents’ expenditure were positively associated with improved sanitation rates, and illiteracy rate of people older than 15 was negatively related with improved sanitation rates. Socio-economic factors had affected the improved sanitation rates in 30 provinces in rural China. Thus, a series of policies, socio-economic measures and personal latrine literacy education should be given to improve the status of improved sanitation rates in rural China.

Suggested Citation

  • Qing Luo & Mengjie Zhang & Wei Yao & Yanfen Fu & Haichun Wei & Yong Tao & Jianjun Liu & Hongyan Yao, 2018. "A Spatio-Temporal Pattern and Socio-Economic Factors Analysis of Improved Sanitation in China, 2006–2015," IJERPH, MDPI, vol. 15(11), pages 1-13, November.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:11:p:2510-:d:181703
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/11/2510/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/11/2510/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Manfred M. Fischer & Arthur Getis (ed.), 2010. "Handbook of Applied Spatial Analysis," Springer Books, Springer, number 978-3-642-03647-7, October.
    2. Jamie Bartram & Clarissa Brocklehurst & Michael B. Fisher & Rolf Luyendijk & Rifat Hossain & Tessa Wardlaw & Bruce Gordon, 2014. "Global Monitoring of Water Supply and Sanitation: History, Methods and Future Challenges," IJERPH, MDPI, vol. 11(8), pages 1-29, August.
    3. Millo, Giovanni & Piras, Gianfranco, 2012. "splm: Spatial Panel Data Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i01).
    4. Maggie Hodges & Jessica H. Belle & Elizabeth J. Carlton & Song Liang & Huazhong Li & Wei Luo & Matthew C. Freeman & Yang Liu & Yang Gao & Jeremy J. Hess & Justin V. Remais, 2014. "Delays in reducing waterborne and water-related infectious diseases in China under climate change," Nature Climate Change, Nature, vol. 4(12), pages 1109-1115, December.
    5. Luc Anselin, 2001. "Spatial Effects in Econometric Practice in Environmental and Resource Economics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 705-710.
    Full references (including those not matched with items on IDEAS)

    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. Marzieh Ronaghi & Michael Reed & Sayed Saghaian, 2020. "The impact of economic factors and governance on greenhouse gas emission," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(2), pages 153-172, April.
    2. Yun, Seong Do & Gramig, Benjamin M & Delgado, Michael S. & Florax, Raymond J.G.M., 2015. "Does Spatial Correlation Matter in Econometric Models of Crop Yield Response and Weather?," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205465, Agricultural and Applied Economics Association.
    3. repec:iab:iabjlr:v:55:i::p:art.11 is not listed on IDEAS
    4. Guilherme Resende & Alexandre Carvalho & Patrícia Sakowski & Túlio Cravo, 2016. "Evaluating multiple spatial dimensions of economic growth in Brazil using spatial panel data models," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 1-31, January.
    5. Bivand, Roger & Piras, Gianfranco, 2015. "Comparing Implementations of Estimation Methods for Spatial Econometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i18).
    6. repec:rri:wpaper:201301 is not listed on IDEAS
    7. Leal, Ana R. & Husted, Bryan W. & Flores Segovia, Miguel Alejandro, 2021. "Environmental performance spillovers among Mexican industrial facilities: The case of greenhouse gases," Journal of Business Research, Elsevier, vol. 135(C), pages 711-720.
    8. Marzieh RONAGHI & Eric SCORSONE, 2023. "The Impact Of Governance On Poverty And Unemployment Control Before And After The 2020 Covid Outbreak In The United States," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 23(2), pages 35-56.
    9. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    10. Wozniak, Marcin, 2021. "Spatial matching on the urban labor market: estimates with unique micro data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-11.
    11. Lina Meng & Bo Huang, 2018. "Shaping the Relationship Between Economic Development and Carbon Dioxide Emissions at the Local Level: Evidence from Spatial Econometric Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 127-156, September.
    12. Wozniak, Marcin, 2021. "Spatial matching on the urban labor market: estimates with unique micro data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55(55), pages 1-.11.
    13. Marcin Wozniak, 2021. "Spatial matching on the urban labor market: estimates with unique micro data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-17, December.
    14. Eva Coll-Martinez & Malia Kedjar & Patricia Renou-Maissant, 2020. "Location Determinants Of Ecoinnovative Firms In France," Working Papers 2020.02, International Network for Economic Research - INFER.
    15. Chocholatá Michaela & Furková Andrea, 2017. "Regional Disparities in Education Attainment Level in the European Union: A Spatial Approach," TalTech Journal of European Studies, Sciendo, vol. 7(2), pages 107-131, October.
    16. Motoyama, Yasuyuki & Cao, Cong & Appelbaum, Richard, 2014. "Observing regional divergence of Chinese nanotechnology centers," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 11-21.
    17. Eleftheria Kontou & Noreen McDonald, 2021. "Associating ridesourcing with road safety outcomes: Insights from Austin, Texas," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-18, March.
    18. Rey, Sergio, 2015. "Bells in Space: The Spatial Dynamics of US Interpersonal and Interregional Income Inequality," MPRA Paper 69482, University Library of Munich, Germany.
    19. Chih-Hao Wang & Na Chen, 2021. "A multi-objective optimization approach to balancing economic efficiency and equity in accessibility to multi-use paths," Transportation, Springer, vol. 48(4), pages 1967-1986, August.
    20. Padovano, Fabio & Petrarca, Ilaria, 2014. "Are the responsibility and yardstick competition hypotheses mutually consistent?," European Journal of Political Economy, Elsevier, vol. 34(C), pages 459-477.
    21. Baltagi, Badi H. & Yen, Yin-Fang, 2014. "Hospital treatment rates and spillover effects: Does ownership matter?," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 193-202.
    22. Atems, Bebonchu, 2013. "The spatial dynamics of growth and inequality: Evidence using U.S. county-level data," Economics Letters, Elsevier, vol. 118(1), pages 19-22.

    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:gam:jijerp:v:15:y:2018:i:11:p:2510-:d:181703. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.