Evidence map›Paper›PMID 37523550›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Assessing the costs of ozone pollution in India for wheat producers, consumers, and government food welfare policies.

Divya Pandey, Katrina Sharps, David Simpson, Bharat Ramaswami, Roger Cremades, Nathan Booth, Chubamenla Jamir, Patrick Büker, Vinayak Sinha, Baerbel Sinha and 1 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Quantifying the impact of air pollution from coal-fired electricity generation on crop productivity in India.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Divya PandeyIsotope Biogeochemistry and Gas Fluxes, Leibniz Centre for Agricultural Landscape Research, Müncheberg 15374, Germany.ORCID 0000-0001-8626-1647
Katrina SharpsUK Centre for Ecology & Hydrology, Environment Centre Wales, Bangor LL57 2UW, United Kingdom.ORCID 0000-0003-3265-1505
David SimpsonMeteorological Synthesizing Centre-West of European Monitoring and Evaluation Programme, Norwegian Meteorological Institute, Oslo N-0313, Norway.ORCID 0000-0001-9538-3208
Bharat RamaswamiDepartment of Economics, Ashoka University, Rajiv Gandhi Education City, Sonepat, Haryana, 131029 India.ORCID 0000-0003-4897-3103
Roger CremadesUrban Economics Group, Department of Social Sciences, Wageningen University & Research, 6706 KN Wageningen, the Netherlands.ORCID 0000-0002-4514-2462
Nathan BoothDepartment of Environment & Geography, University of York, York YO10 5NG, United Kingdom.ORCID 0009-0002-2451-907X
Chubamenla JamirDepartment of Energy and Environment, The Energy and Resources Institute - School of Advanced Studies, Vasant Kunj New Delhi 110 070, India.
Patrick BükerDeutsche Gesellschaft für Internationale Zusammenarbeit GmbH, Bonn 53113, Germany.
Vinayak SinhaDepartment of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Mohali, Punjab 140306, India.ORCID 0000-0002-5508-0779
Baerbel SinhaDepartment of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Mohali, Punjab 140306, India.
Lisa D EmbersonDepartment of Environment & Geography, University of York, York YO10 5NG, United Kingdom.ORCID 0000-0003-3463-0054

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We assess wheat yield losses occurring due to ozone pollution in India and its economic burden on producers, consumers, and the government. Applying an ozone flux-based risk assessment, we show that ambient ozone levels caused a mean 14.18% reduction in wheat yields during 2008 to 2012. Furthermore, irrigated wheat was particularly sensitive to ozone-induced yield losses, indicating that ozone pollution could undermine climate-change adaptation efforts through irrigation expansion. Applying an economic model, we examine the effects of a counterfactual, "pollution-free" scenario on yield losses, wheat prices, consumer and producer welfare, and government costs. We explore three policy scenarios in which the government support farmers at observed levels of either procurement prices (fixed-price), procurement quantities (fixed-procurement), or procurement expenditure (fixed-expenditure). In pollution-free conditions, the fixed-price scenario absorbs the fall in prices, thus increasing producer welfare by USD 2.7 billion, but total welfare decreases by USD 0.24 billion as government costs increase (USD 2.9 billion). In the fixed-procurement and fixed-expenditure scenarios, ozone mitigation allows wheat prices to fall by 38.19 to 42.96%. The producers lose by USD 5.10 to 6.01 billion, but the gains to consumers and governments (USD 8.7 to 10.2 billion) outweigh these losses. These findings show that the government and consumers primarily bear the costs of ozone pollution. For pollution mitigation to optimally benefit wheat production and maximize social welfare, new approaches to support producers other than fixed-price grain procurement may be required. We also emphasize the need to consider air pollution in programs to improve agricultural resilience to climate change.

Indexed as

Air PollutantsAir PollutionOzoneGovernmentHumansTriticumAir PollutantsOzoneair pollutionfood securityozone-fluxwheat priceswheat production

Identifiers

PMID37523550
PMCPMC10410720

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.