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Households’ Toilet Facility in Rural India: Socio-spatial Analysis

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  • Arjun Kumar

Abstract

The 2030 agenda on Sustainable Development Goals (SDGs) highlights the importance of sanitation and sets the Goal #6: ‘Ensure availability and sustainable management of water and sanitation for all’. While rural households in India have witnessed a marginal improvement in access to toilet facility in recent decades, they continue to face high levels of deprivation along with spatial and socio-economic disparities and exclusions, which have been highlighted in this article using data from Census of India, National Sample Surveys and Baseline Survey. Determinants of households having access to latrine facility in the house have been estimated using an econometric exercise and contribution of caste-based factors of the gap in access among various social groups have been estimated using decomposition technique on household-level information from National Sample Survey data. Households located in backward regions and belonging to the weaker sections of society, such as poor, wage labourers, Scheduled Tribes and Scheduled Castes, have been found to be the most deprived and excluded. Thus, there is an urgent need to pace up the developmental efforts for rural sanitation to achieve the SDGs, along with complementary measures to focus on backward regions, weaker sections and socio-spatial position of households in rural India.

Suggested Citation

  • Arjun Kumar, 2017. "Households’ Toilet Facility in Rural India: Socio-spatial Analysis," Indian Journal of Human Development, , vol. 11(1), pages 89-108, April.
  • Handle: RePEc:sae:inddev:v:11:y:2017:i:1:p:89-108
    DOI: 10.1177/0973703017716602
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    References listed on IDEAS

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    1. Arjun Kumar, 2014. "Sanitation in Rural India: An Analysis of Households’ Latrine Facility," Journal of Studies in Dynamics and Change (JSDC), ISSN: 2348-7038, Voices of Inclusive Change and Expressions- (VOICE) Trust, Dehradun, Uttarakhand, vol. 1(6), pages 231-246, October.
    2. Fairlie, Robert W., 2003. "An Extension of the Blinder-Oaxaca Decomposition Technique to Logit and Probit Models," Center Discussion Papers 28425, Yale University, Economic Growth Center.
    3. Mathia Sinning & Markus Hahn & Thomas K. Bauer, 2008. "The Blinder–Oaxaca decomposition for nonlinear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 480-492, December.
    4. World Bank, 2013. "Inclusion Matters : The Foundation for Shared Prosperity [Inclusión social : clave de la prosperidad para todos - resumen]," World Bank Publications - Books, The World Bank Group, number 16195.
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    Cited by:

    1. Pritam Ghosh & Asraful Alam & Nilanjana Ghosal & Debodatta Saha, 2021. "A Geospatial Analysis of Temporary Housing Inequality among Socially Marginalized and Privileged Groups in India," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 798-819, June.
    2. Sri Irianti & Puguh Prasetyoputra, 2021. "Rural–Urban Disparities in Access to Improved Sanitation in Indonesia: A Decomposition Approach," SAGE Open, , vol. 11(3), pages 21582440211, July.

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