The State of School Infrastructure in the Assembly Constituencies of Rural India: Analysis of 11 Census Indicators from Pre-primary to Higher Education
DC Field | Value | Language |
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dc.contributor.author | Swaminathan, Akshay | - |
dc.contributor.author | Narayanan, Menaka | - |
dc.contributor.author | Blossom, Jeff | - |
dc.contributor.author | Venkataramanan, R. | - |
dc.contributor.author | Saunik, Sujata | - |
dc.contributor.author | Kim, Rockli | - |
dc.contributor.author | Subramanian, S. V. | - |
dc.date.accessioned | 2021-08-31T15:06:05Z | - |
dc.date.available | 2021-08-31T15:06:05Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2020-01 | - |
dc.identifier.issn | 1661-7827 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/58509 | - |
dc.description.abstract | In India, assembly constituencies (ACs), represented by elected officials, are the primary geopolitical units for state-level policy development. However, data on social indicators are traditionally reported and analyzed at the district level, and are rarely available for ACs. Here, we combine village-level data from the 2011 Indian Census and AC shapefiles to systematically derive AC-level estimates for the first time. We apply this methodology to describe the distribution of 11 education infrastructures-ranging from pre-primary school to senior secondary school-across rural villages in 3773 ACs. We found high variability in access to higher education infrastructures and low variability in access to lower education variables. For 40.3% (25th percentile) to 79.7% (75th percentile) of villages in an AC, the nearest government senior secondary school was >5 km away, whereas the nearest government primary school was >5 km away in just 0% (25th percentile) to 1.9% (75th percentile) of villages in an AC. The states of Manipur, Arunachal Pradesh, and Bihar showed the greatest within-state variation in access to education infrastructures. We present a novel analysis of access to education infrastructures to inform AC-level policy and demonstrate how geospatial and Census data can be leveraged to derive AC-level estimates for any population health and development indicators collected in the Census at the village level. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | PROGRESS | - |
dc.title | The State of School Infrastructure in the Assembly Constituencies of Rural India: Analysis of 11 Census Indicators from Pre-primary to Higher Education | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Rockli | - |
dc.identifier.doi | 10.3390/ijerph17010296 | - |
dc.identifier.scopusid | 2-s2.0-85077506133 | - |
dc.identifier.wosid | 000509391500296 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, v.17, no.1 | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH | - |
dc.citation.title | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH | - |
dc.citation.volume | 17 | - |
dc.citation.number | 1 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalResearchArea | Public, Environmental & Occupational Health | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalWebOfScienceCategory | Public, Environmental & Occupational Health | - |
dc.subject.keywordPlus | PROGRESS | - |
dc.subject.keywordAuthor | India | - |
dc.subject.keywordAuthor | assembly constituencies | - |
dc.subject.keywordAuthor | geopolitical units | - |
dc.subject.keywordAuthor | GIS | - |
dc.subject.keywordAuthor | census | - |
dc.subject.keywordAuthor | education infrastructures | - |
dc.subject.keywordAuthor | social determinants of health | - |
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