research-article

Towards building a district development model for india using census data

Authors:

Dibyajyoti Goswami,

Shyam Bihari Tripathi,

Aaditeshwar SethAuthors Info & Claims

COMPASS '19: Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies

Pages 259 - 271

https://doi.org/10.1145/3314344.3332491

Published: 03 July 2019 Publication History

Abstract

Models for socio-economic development are useful for planners to build appropriate policies. Such models are ideally constructed based on empirical data, and we take up the problem of working towards a district development model for India by using two waves of census data. India has almost six hundred districts, diverse in terms of their social and economic development, and hence presents a unique natural experiment to understand how social and economic factors interplay with one another. In this paper, we present some interesting observations we are able to make from the analysis of census data from the years 2001 and 2011, and also raise some questions calling for the need for additional ethnographic and other surveys to be able to understand the underlying mechanisms that would have led to the observed patterns.

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Cited By

Gulgulia AGupta ASarashetti ASinha ASeth A(2023)Tracking Socio-Economic Development in Rural India over Two Decades Using Satellite ImageryACM Journal on Computing and Sustainable Societies10.1145/36153611:2(1-31)Online publication date: 6-Dec-2023
https://dl.acm.org/doi/10.1145/3615361
Bansal CSingla ASingh AAhlawat HJain MSingh PKumar PSaha RTaparia SYadav SSeth A(2020)Characterizing The Evolution Of Indian Cities Using Satellite Imagery And Open Street MapsProceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies10.1145/3378393.3402258(87-96)Online publication date: 15-Jun-2020
https://dl.acm.org/doi/10.1145/3378393.3402258
Bansal CJain ABarwaria PChoudhary ASingh AGupta ASeth AVarma VKambhampati SBhattacharya ANatarajan SRoy R(2020)Temporal Prediction of Socio-economic Indicators Using Satellite ImageryProceedings of the 7th ACM IKDD CoDS and 25th COMAD10.1145/3371158.3371167(73-81)Online publication date: 5-Jan-2020
https://dl.acm.org/doi/10.1145/3371158.3371167

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cover image ACM Conferences

COMPASS '19: Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies

July 2019

290 pages

ISBN:9781450367141

DOI:10.1145/3314344

Program Chairs:
Jay Chen
NYU-AD
,
Jennifer Mankoff
University of Washington
,
Carla Gomes
Cornell

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Published: 03 July 2019

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COMPASS '19: ACM SIGCAS Conference on Computing and Sustainable Societies

July 3 - 5, 2019

Accra, Ghana

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Cited By

Gulgulia AGupta ASarashetti ASinha ASeth A(2023)Tracking Socio-Economic Development in Rural India over Two Decades Using Satellite ImageryACM Journal on Computing and Sustainable Societies10.1145/36153611:2(1-31)Online publication date: 6-Dec-2023
https://dl.acm.org/doi/10.1145/3615361
Bansal CSingla ASingh AAhlawat HJain MSingh PKumar PSaha RTaparia SYadav SSeth A(2020)Characterizing The Evolution Of Indian Cities Using Satellite Imagery And Open Street MapsProceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies10.1145/3378393.3402258(87-96)Online publication date: 15-Jun-2020
https://dl.acm.org/doi/10.1145/3378393.3402258
Bansal CJain ABarwaria PChoudhary ASingh AGupta ASeth AVarma VKambhampati SBhattacharya ANatarajan SRoy R(2020)Temporal Prediction of Socio-economic Indicators Using Satellite ImageryProceedings of the 7th ACM IKDD CoDS and 25th COMAD10.1145/3371158.3371167(73-81)Online publication date: 5-Jan-2020
https://dl.acm.org/doi/10.1145/3371158.3371167

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