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2021 | OriginalPaper | Chapter

Unbundling Air Pollution Concerns: A Closer Look at Socio-economic Factors

Authors: Purnamita Dasgupta, Kavitha Srikanth

Published in: Sustainable Development Insights from India

Publisher: Springer Singapore

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Abstract

Several cities in India have poor air quality with pollutants exceeding the National Ambient Air Quality Standards. Cities with high pollution levels vary substantially in terms of the type of pollutant and meteorological conditions. Given the adverse impacts of air pollution on health and well-being of citizens and its negative impacts on the economy, managing air pollution is a top priority. However, the cities and the states that these belong to differ substantially with regard to natural capital endowments, demographic and socio-economic characteristics and hence are not similarly positioned to tackle air pollution. This study examines the empirical evidence on air quality with income, demographic and socio-economic factors at the state level, using PM10 concentration levels as an indicator of pollution. The insights from the analysis maybe relevant for the current measures being considered to tackle pollution including the recently launched National Clean Air Programme. Designing economic mechanisms and resource allocation which takes on board the heterogeneity across states and decentralizes decision-making for similarly affected regions maybe important for tackling pollution.
Appendix
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Footnotes
1
Data on PM2.5 is not available consistently at the same level of detail over time for all the cities/states. This is partially at least attributable to the fact that PM2.5 monitoring was only started around 2009 and its coverage is being expanded.
 
2
Non-attainment cities refer to cities where the National Ambient Air Quality Standards (NAAQS) were exceeded and were identified based on 2011–2015 air quality data and the WHO air quality update of 2018 (MoEFCC 2019a).
 
3
Sources of information: Delhi—ARAI and TERI (2018), year 2016; Mumbai and Ahmedabad—Ganguly et al. (2020), year 2018; Varanasi—Guttikunda et al. (2019), year 2015.
 
5
Real-time monitoring data obtained from continuous ambient air quality monitoring stations from CPCB: https://​app.​cpcbccr.​com/​ccr/​#/​caaqm-dashboard-all/​caaqm-landing.
 
Literature
go back to reference CPCB (Central Pollution Control Board). (2014). National Air Quality Index. Central Pollution Control Board. CPCB (Central Pollution Control Board). (2014). National Air Quality Index. Central Pollution Control Board.
go back to reference NGT (National Green Tribunal). (2019a). Original Application No. 681/2018. Dated: 14.11.2019. NGT (National Green Tribunal). (2019a). Original Application No. 681/2018. Dated: 14.11.2019.
go back to reference NGT (National Green Tribunal). (2020a). Original Application No. 681/2018. Item No. 4. Date of hearing: 21.08.2020. NGT (National Green Tribunal). (2020a). Original Application No. 681/2018. Item No. 4. Date of hearing: 21.08.2020.
go back to reference NGT (National Green Tribunal). (2020b). Original Application No. 681/2018. Dated: 06.03.2020. NGT (National Green Tribunal). (2020b). Original Application No. 681/2018. Dated: 06.03.2020.
Metadata
Title
Unbundling Air Pollution Concerns: A Closer Look at Socio-economic Factors
Authors
Purnamita Dasgupta
Kavitha Srikanth
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-33-4830-1_21

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