Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Climate co-benefits of air quality and clean energy policy in India

Abstract

Sustainable development goals connect policies addressing air quality and energy efficiency with complementary benefits for climate mitigation. However, a typically fragmented approach across these domains hinders effectiveness in addressing short-lived climate forcers (SLCFs)—including methane, carbon monoxide, non-methane volatile organic compounds and black carbon—to supplement CO2 mitigation. Here, to support policy coordination in India, we assess climate co-benefits of air quality and clean energy policies, using multiple metrics (global warming and temperature change potentials). We estimate an emission reduction potential of −0.1 to −1.8 GtCO2e yr−1 in 2030. The largest benefits accrue from residential clean energy policy (biomass cooking) and air pollution regulation (curbing brick production and agricultural residue burning emissions), which cut black carbon. In the next 1–2 decades (using global warming potential—GWP20), emission reduction potentials of warming SLCFs exceed those of CO2, which is not evident on longer timescales. Concurrently, policies in the electricity generation and transport sectors reduce cooling SLCFs (SO2 and NOx), potentially unmasking 0.1–2.4 GtCO2e yr−1. Integrating these interventions into national climate policies can strengthen both climate action and sustainability. The crucial impact of black carbon suggests that it should be included in the international climate accord.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Schematic of methodology.
Fig. 2: Evolution of emissions and ERP.
Fig. 3: ERP by sector for 2030.
Fig. 4: ERPs for individual short-lived climate forcers.
Fig. 5: Monitoring and evaluation framework.

Similar content being viewed by others

Data availability

The data that support the findings of this study are available from the corresponding author upon request.

References

  1. Dubash, N., Raghunandan, D., Sant, G. & Sreenivas, A. Indian climate change policy: exploring a co-benefits based approach. Econ. Polit. Wkly 48, 47–62 (2013).

    Google Scholar 

  2. National Action Plan on Climate Change (Government of India, 2008).

  3. IPCC Special Report on Global Warming of 1.5 °C (eds Masson-Delmotte, V. et al.) (WMO, 2018); http://www.ipcc.ch/report/sr15/

  4. Blain, D. et al. (eds) Short-Lived Climate Forcers (SLCF) (IPCC, 2018); https://go.nature.com/3mukboM

  5. Bond, T. C. Can warming particles enter global climate discussions? Environ. Res. Lett. 2, 045030 (2007).

    Article  Google Scholar 

  6. Shindell, D. et al. Simultaneously mitigating near-term climate change and improving human health and food security. Science 335, 183–189 (2012).

    Article  CAS  Google Scholar 

  7. Shindell, D. et al. A climate policy pathway for near- and long-term benefits. Science 356, 493–494 (2017).

    Article  CAS  Google Scholar 

  8. Bowerman, N. H. A. et al. The role of short-lived climate pollutants in meeting temperature goals. Nat. Clim. Change 3, 1021–1024 (2013).

    Article  CAS  Google Scholar 

  9. Hu, A., Xu, Y., Tebaldi, C., Washington, W. M. & Ramanathan, V. Mitigation of short-lived climate pollutants slows sea-level rise. Nat. Clim. Change 3, 730–734 (2013).

    Article  Google Scholar 

  10. Partanen, A.-I., Landry, J.-S. & Matthews, H. D. Climate and health implications of future aerosol emission scenarios. Environ. Res. Lett. 13, 024028 (2018).

    Article  Google Scholar 

  11. Shindell, D. & Smith, C. J. Climate and air-quality benefits of a realistic phase-out of fossil fuels. Nature 573, 408–411 (2019).

    Article  CAS  Google Scholar 

  12. Mondal, A., Sah, N., Sharma, A., Venkataraman, C. & Patil, N. Absorbing aerosols and high‐temperature extremes in India: a general circulation modelling study. Int. J. Climatol. https://doi.org/10.1002/joc.6783 (2020).

  13. Dave, P., Bhushan, M. & Venkataraman, C. Absorbing aerosol influence on temperature maxima: An observation based study over India. Atmos. Environ. 223, 117237 (2020).

    Article  CAS  Google Scholar 

  14. Modalities, Procedures and Guidelines for the Transparency Framework for Action and Support Referred to in Article 13 of the Paris Agreement (UNFCCC, 2018); https://unfccc.int/node/187431

  15. Decision IPCC-XLIX-7 (IPCC, accessed 7 October 2020); https://go.nature.com/2Jz5Ngs

  16. Allen, M. R. et al. New use of global warming potentials to compare cumulative and short-lived climate pollutants. Nat. Clim. Change 6, 773–776 (2016).

    Article  CAS  Google Scholar 

  17. Tanaka, K., Cavalett, O., Collins, W. J. & Cherubini, F. Asserting the climate benefits of the coal-to-gas shift across temporal and spatial scales. Nat. Clim. Change 9, 389–396 (2019).

    Article  Google Scholar 

  18. Venkataraman, C. et al. Source influence on emission pathways and ambient PM2.5 pollution over India (2015–2050). Atmos. Chem. Phys. 18, 8017–8039 (2018).

    Article  CAS  Google Scholar 

  19. Peng, W., Yang, J., Wagner, F. & Mauzerall, D. L. Substantial air quality and climate co-benefits achievable now with sectoral mitigation strategies in China. Sci. Total Environ. 598, 1076–1084 (2017).

    Article  CAS  Google Scholar 

  20. Stohl, A. et al. Evaluating the climate and air quality impacts of short-lived pollutants. Atmos. Chem. Phys. 15, 10529–10566 (2015).

    Article  CAS  Google Scholar 

  21. Markandya, A. et al. Public health benefits of strategies to reduce greenhouse-gas emissions: low-carbon electricity generation. Lancet 374, 2006–2015 (2009).

    Article  CAS  Google Scholar 

  22. Mittal, S., Hanaoka, T., Shukla, P. R. & Masui, T. Air pollution co-benefits of low carbon policies in road transport: a sub-national assessment for India. Environ. Res. Lett. 10, 85006 (2015).

    Article  Google Scholar 

  23. Pathak, M. & Shukla, P. R. Co-benefits of low carbon passenger transport actions in Indian cities: Case study of Ahmedabad. Transp. Res. D 44, 303–316 (2016).

    Article  Google Scholar 

  24. Rao, S. et al. A multi-model assessment of the co-benefits of climate mitigation for global air quality. Environ. Res. Lett. 11, 124013 (2016).

    Article  Google Scholar 

  25. Murata, A. et al. Environmental co-benefits of the promotion of renewable power generation in China and India through clean development mechanisms. Renew. Energy 87, 120–129 (2016).

    Article  Google Scholar 

  26. Dhar, S., Pathak, M. & Shukla, P. R. Electric vehicles and India’s low carbon passenger transport: a long-term co-benefits assessment. J. Clean. Prod. 146, 139–148 (2017).

    Article  Google Scholar 

  27. Reynolds, C. C. O. & Kandlikar, M. Climate impacts of air quality policy: switching to a natural gas-fueled public transportation system in New Delhi. Environ. Sci. Technol. 42, 5860–5865 (2008).

    Article  CAS  Google Scholar 

  28. Grieshop, A. P., Marshall, J. D. & Kandlikar, M. Health and climate benefits of cookstove replacement options. Energy Policy 39, 7530–7542 (2011).

    Article  CAS  Google Scholar 

  29. Jiang, P. et al. Analysis of the co-benefits of climate change mitigation and air pollution reduction in China. J. Clean. Prod. 58, 130–137 (2013).

    Article  Google Scholar 

  30. Nam, K.-M., Waugh, C. J., Paltsev, S., Reilly, J. M. & Karplus, V. J. Carbon co-benefits of tighter SO2 and NOx regulations in China. Glob. Environ. Change 23, 1648–1661 (2013).

    Article  Google Scholar 

  31. Air Pollution in Asia and the Pacific: Science-based Solutions (United Nations Environment Programme, 2019).

  32. Maji, P. & Kandlikar, M. Quantifying the air quality, climate and equity implications of India’s household energy transition. Energy Sustain. Dev. 55, 37–47 (2020).

    Article  Google Scholar 

  33. GBD MAPS Working Group Burden of Disease Attributable to Major Air Pollution Sources in India Special Report 21 (Health Effects Institute, 2018).

  34. Burney, J. & Ramanathan, V. Recent climate and air pollution impacts on Indian agriculture. Proc. Natl Acad. Sci. USA 111, 16319–16324 (2014).

    Article  CAS  Google Scholar 

  35. India’s Intended Nationally Determined Contribution (INDC): Working Towards Climate Justice (UNFCCC, 2015); https://go.nature.com/2JyBeaT

  36. Venkataraman, C., Ghosh, S. & Kandlikar, M. Breaking out of the box: India and climate action on short-lived climate pollutants. Environ. Sci. Technol. 50, 12527–12529 (2016).

    Article  CAS  Google Scholar 

  37. Haines, A. et al. Short-lived climate pollutant mitigation and the Sustainable Development Goals. Nat. Clim. Change 7, 863–869 (2017).

    Article  Google Scholar 

  38. Ministry of Environment, Forest and Climate Change. Notification S.O. 3305(E). The Gazette of India (Government of India, 2015); https://go.nature.com/36v0KqA

  39. Ministry of Road Transport and Highways. Government decides to directly shift from BS-IV to BS-VI emission norms. Press Information Bureau (Government of India, 2016). http://pib.nic.in/newsite/PrintRelease.aspx?relid=134232

  40. Fry, M. M. et al. The influence of ozone precursor emissions from four world regions on tropospheric composition and radiative climate forcing. J. Geophys. Res. Atmos. 117, D07306 (2012).

    Article  Google Scholar 

  41. Collins, W. J. et al. Global and regional temperature-change potentials for near-term climate forcers. Atmos. Chem. Phys. 13, 2471–2485 (2013).

    Article  CAS  Google Scholar 

  42. Wild, O., Prather, M. J. & Akimoto, H. Indirect long-term global radiative cooling from NOx emissions. Geophys. Res. Lett. 28, 1719–1722 (2001).

    Article  CAS  Google Scholar 

  43. Dagnet, Y., Cogswell, N., Bird, N., Bouyé, M. & Rocha, M. Building Capacity for the Paris Agreement’s Enhanced Transparency Framework: What Can We Learn from Countries’ Experiences and UNFCCC Processes? (World Resources Institute, 2019).

  44. Baker, L. H. et al. Climate responses to anthropogenic emissions of short-lived climate pollutants. Atmos. Chem. Phys. 15, 8201–8216 (2015).

    Article  CAS  Google Scholar 

  45. Lelieveld, J. et al. Effects of fossil fuel and total anthropogenic emission removal on public health and climate. Proc. Natl Acad. Sci. USA 116, 7192–7197 (2019).

    Article  CAS  Google Scholar 

  46. The Emissions Gap Report 2017 (United Nations Environment Programme, 2017).

  47. Grieshop, A. P., Reynolds, C. C. O., Kandlikar, M. & Dowlatabadi, H. A black-carbon mitigation wedge. Nat. Geosci. 2, 533–534 (2009).

    Article  CAS  Google Scholar 

  48. Bond, T. C. et al. Bounding the role of black carbon in the climate system: A scientific assessment. J. Geophys. Res. Atmos. 118, 5380–5552 (2013).

    Article  CAS  Google Scholar 

  49. Berntsen, T., Tanaka, K. & Fuglestvedt, J. S. Does black carbon abatement hamper CO2 abatement? Clim. Change 103, 627–633 (2010).

    Article  CAS  Google Scholar 

  50. Stjern, C. W. et al. Rapid adjustments cause weak surface temperature response to increased black carbon concentrations. J. Geophys. Res. Atmos. 122, 462–481 (2017).

    Article  Google Scholar 

  51. Smith, C. J. et al. Understanding rapid adjustments to diverse forcing agents. Geophys. Res. Lett. 45, 12,023–12,031 (2018).

    Article  CAS  Google Scholar 

  52. Takemura, T. & Suzuki, K. Weak global warming mitigation by reducing black carbon emissions. Sci. Rep. 9, 4419 (2019).

    Article  Google Scholar 

  53. Samset, B. H. & Myhre, G. Climate response to externally mixed black carbon as a function of altitude. J. Geophys. Res. Atmos. 120, 2913–2927 (2015).

    Article  Google Scholar 

  54. Matsui, H., Hamilton, D. S. & Mahowald, N. M. Black carbon radiative effects highly sensitive to emitted particle size when resolving mixing-state diversity. Nat. Commun. 9, 3446 (2018).

    Article  Google Scholar 

  55. Ministry of External Affairs India–France Joint Statement on Visit of Prime Minister to France (22–23 August 2019) (Government of India, 2019); https://go.nature.com/37xNil4

  56. Cain, M. et al. Improved calculation of warming-equivalent emissions for short-lived climate pollutants. npj Clim. Atmos. Sci. 2, 29 (2019).

    Article  Google Scholar 

  57. Lynch, J., Cain, M., Pierrehumbert, R. & Allen, M. Demonstrating GWP*: a means of reporting warming-equivalent emissions that captures the contrasting impacts of short- and long-lived climate pollutants. Environ. Res. Lett. 15, 044023 (2020).

    Article  CAS  Google Scholar 

  58. Allen, M. R. et al. A solution to the misrepresentations of CO2-equivalent emissions of short-lived climate pollutants under ambitious mitigation. npj Clim. Atmos. Sci. 1, 16 (2018).

    Article  Google Scholar 

  59. Collins, W. J., Frame, D. J., Fuglestvedt, J. S. & Shine, K. P. Stable climate metrics for emissions of short and long-lived species—combining steps and pulses. Environ. Res. Lett. 15, 024018 (2020).

    Article  CAS  Google Scholar 

  60. Halsnæs, K. et al. in Climate Change 2007: Mitigation of Climate Change (eds Metz, B. et al.) Ch. 2 (Cambridge Univ. Press, 2007).

  61. Myhre, G. et al. in Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) 658–740 (Cambridge Univ. Press, 2013).

  62. Fuglestvedt, J. S. et al. Metrics of climate change: assessing radiative forcing and emission indices. Clim. Change 58, 267–331 (2003).

    Article  Google Scholar 

  63. Shine, K. P., Fuglestvedt, J. S., Hailemariam, K. & Stuber, N. Alternatives to the global warming potential for comparing climate impacts of emissions of greenhouse gases. Clim. Change 68, 281–302 (2005).

    Article  CAS  Google Scholar 

  64. Shine, K. P., Berntsen, T. K., Fuglestvedt, J. S., Skeie, R. B. & Stuber, N. Comparing the climate effect of emissions of short- and long-lived climate agents. Philos. Trans. R. Soc. A 365, 1903–1914 (2007).

    Article  CAS  Google Scholar 

  65. Scientific Advisory Panel Science Advisory Panel Report On Metrics and Inventory Development Workshop (Climate and Clean Air Coalition, 2017).

  66. Kupiainen, K. J., Aamaas, B., Savolahti, M., Karvosenoja, N. & Paunu, V.-V. Climate impact of Finnish air pollutants and greenhouse gases using multiple emission metrics. Atmos. Chem. Phys. 19, 7743–7757 (2019).

    Article  CAS  Google Scholar 

  67. Ocko, I. B. et al. Unmask temporal trade-offs in climate policy debates. Science 356, 492–493 (2017).

    Article  CAS  Google Scholar 

  68. Iordan, C., Lausselet, C. & Cherubini, F. Life-cycle assessment of a biogas power plant with application of different climate metrics and inclusion of near-term climate forcers. J. Environ. Manag. 184, 517–527 (2016).

    Article  CAS  Google Scholar 

  69. Edwards, M. R. et al. Vehicle emissions of short-lived and long-lived climate forcers: trends and tradeoffs. Faraday Discuss. 200, 453–474 (2017).

    Article  CAS  Google Scholar 

  70. Levasseur, A. et al. Enhancing life cycle impact assessment from climate science: review of recent findings and recommendations for application to LCA. Ecol. Indic. 71, 163–174 (2016).

    Article  Google Scholar 

  71. Åström, S. & Johansson, D. J. A. The choice of climate metric is of limited importance when ranking options for abatement of near-term climate forcers. Clim. Change 154, 401–416 (2019).

    Article  Google Scholar 

  72. Yu, H. et al. A multimodel assessment of the influence of regional anthropogenic emission reductions on aerosol direct radiative forcing and the role of intercontinental transport. J. Geophys. Res. Atmos. 118, 700–720 (2013).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This work was supported by the Indian Ministry of Environment Forest and Climate Change under the NCAP-COALESCE project (Grant No.14/10/2014-CC(Vol.II)). We thank the internal review committee of the NCAP-COALESCE project for their comments and suggestions on this paper. The views expressed in this document are solely those of authors and do not necessarily reflect those of the ministry. The ministry does not endorse any products or commercial services mentioned in this publication.

Author information

Authors and Affiliations

Authors

Contributions

C.V. and K.T. conceptualized the study. K.T. collected all the relevant data, performed calculations and prepared the figures and tables. K.T. and C.V. analysed the results and drafted the manuscript.

Corresponding author

Correspondence to Chandra Venkataraman.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Peer review information Nature Sustainability thanks Myles Allen and Katsumasa Tanaka for their contribution to the peer review of this work.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 Clean technology fractions under three scenarios.

Clean technology fraction for various interventions under climate, air quality and clean energy programs respectively in 2030 under three scenarios. One reference (REF) scenario with policies fixed at 2015 levels, while two mitigation scenarios comprising different levels of achievement of declared targets from ongoing national programs—a) Conservative (CON)—50% achievement and Ambitious (AMB) – 100% achievement. The abbreviated programs are as follows, i) Climate programs: Nationally Determined Contributions (NDC – shifts to renewable power generation), National Action Plan on Climate Change (NAPCC – shifts to higher efficiency boilers), National Electricity Plan (NEP – Emissions standards for thermal power plants promoting FGD), Perform Achieve and Trade Scheme (PAT – energy conservation in industries), National Solar Mission (NSM – shifts to solar operated devices); ii) Air quality programs: Brick emission standards 2018 (BRC_ES18 – shifts to zigzag-fired bricks), Transport emission standards 2016 (TRA_ES16 – shifts to BS-VI norms), National Electric Mobility Mission (NEMM – shifts to electric vehicles), National Policy for Management of Crop Residue (NPMCR – ban on agricultural residue burning); iii) Clean energy programs: Biomass gasifiers for industries (BGI – gasifiers for informal industries), Prime Minister Ujjwala Yojana (PMUY – shifts to LPG cooking), Saubhagya Scheme (SAU – household electrification).

Extended Data Fig. 2 Emissions reduction potential by programs for 2030.

Emission reduction potential of CO2 and net SLCF emissions (in GtCO2-e yr−1) by different programs using GWP20/GWP100/GTP100 in Conservative (CON) and Ambitious (AMB) scenarios. The abbreviated programs are as follows, i) Climate programs: National Solar Mission (NSM—shifts to solar operated devices), Perform Achieve and Trade Scheme (PAT—energy conservation in industries), National Electricity Plan (NEP—gas-based power, FGD), Nationally Determined Contributions (NDC—shifts to renewable power generation), National Action Plan on Climate Change (NAPCC—shifts to higher efficiency boilers); ii) Air quality programs: Brick emission standards 2018 (BRC_ES18—shifts to zigzag-fired bricks), National Policy for Management of Crop Residue (NPMCR—ban on agricultural residue burning), Transport emission standards 2016 (TRA_ES16—shifts to BS-VI norms), National Electric Mobility Mission (NEMM—shifts to electric vehicles); iii) Clean energy programs: Saubhagya Scheme (SAU—households electrification), Prime Minister Ujjwala Yojana (PMUY—shifts to LPG cooking). The error bars indicate uncertainty arising from metrics as ± 1σ around the mean.

Supplementary information

Supplementary Information

Supplementary Methods, Discussion, Figs. 1 and 2 and Tables 1–5.

Reporting Summary

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tibrewal, K., Venkataraman, C. Climate co-benefits of air quality and clean energy policy in India. Nat Sustain 4, 305–313 (2021). https://doi.org/10.1038/s41893-020-00666-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41893-020-00666-3

This article is cited by

Search

Quick links

Nature Briefing Anthropocene

Sign up for the Nature Briefing: Anthropocene newsletter — what matters in anthropocene research, free to your inbox weekly.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing: Anthropocene