IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v161y2020i4d10.1007_s10584-020-02715-4.html
   My bibliography  Save this article

Milk will drive methane emissions in India

Author

Listed:
  • Ridhima Gupta

    (South Asian University)

  • Amlan Dasgupta

    (O.P. Jindal Global University)

Abstract

Livestock is a significant contributor to global anthropogenic emissions of methane, a short-lived greenhouse gas that is responsible for about 20% of the warming induced by greenhouse gases since pre-industrial times. India is a major contributor to these emissions, and its demand for livestock products is continually increasing in response to both growth in incomes and in population. We estimate methane emissions from livestock in India by estimating the demand for milk and milk products using countrywide representative consumption data over the period 1983–2012. We find that the average annual growth rate of methane emissions from dairy cattle is about twice as large (2.4%) as current estimates that do not take into account the economic factors that influence livestock demand. The difference in growth rates translates to an almost 40% difference in forecasted emissions from dairy cattle by 2050. Our findings suggest that, in a rapidly changing economic environment, current forecasts of greenhouse gas emissions from livestock may inaccurately estimate emissions since they fail to consider the economics governing it. We also estimate emissions under different scenarios, in terms of milk price trajectories and livestock composition. The changes in price do not alter our results significantly but the transition to crossbred animals in livestock drastically reduces future methane emissions from milk production.

Suggested Citation

  • Ridhima Gupta & Amlan Dasgupta, 2020. "Milk will drive methane emissions in India," Climatic Change, Springer, vol. 161(4), pages 653-664, August.
  • Handle: RePEc:spr:climat:v:161:y:2020:i:4:d:10.1007_s10584-020-02715-4
    DOI: 10.1007/s10584-020-02715-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10584-020-02715-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10584-020-02715-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Brian P. Poi, 2012. "Easy demand-system estimation with quaids," Stata Journal, StataCorp LP, vol. 12(3), pages 433-446, September.
    2. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    3. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jorge Alberto Rosas Flores & David Morillón Gálvez & Rodolfo Silva, 2024. "Effects of Removing Energy Subsidies and Implementing Carbon Taxes on Urban, Rural and Gender Welfare: Evidence from Mexico," Energies, MDPI, vol. 17(9), pages 1-17, May.
    2. Obisesan, Adekemi, 2021. "Households’ Demand for Fruits and Vegetables in Nigeria: Panel QUAIDS Approach," 2021 Conference, August 17-31, 2021, Virtual 315858, International Association of Agricultural Economists.
    3. Bruno Palialol & Paula Pereda, 2019. "In-kind transfers in Brazil: household consumption and welfare effects," Working Papers, Department of Economics 2019_26, University of São Paulo (FEA-USP).
    4. Moshiri, Saeed & Aliyev, Kamil, 2017. "Rebound effect of efficiency improvement in passenger cars on gasoline consumption in Canada," Ecological Economics, Elsevier, vol. 131(C), pages 330-341.
    5. Olabisi, Michael & Tschirley, David L. & Nyange, David & Awokuse, Titus, 2019. "Energy demand substitution from biomass to imported kerosene: Evidence from Tanzania," Energy Policy, Elsevier, vol. 130(C), pages 243-252.
    6. Andrej Cupák & Peter Tóth, 2017. "Measuring the Efficiency of VAT reforms: Evidence from Slovakia," Working and Discussion Papers WP 6/2017, Research Department, National Bank of Slovakia.
    7. Weber, Regine, 2015. "Welfare Impacts of Rising Food Prices: Evidence from India," 2015 Conference, August 9-14, 2015, Milan, Italy 211901, International Association of Agricultural Economists.
    8. Burggraf, Christine & Kuhn, Lena & Zhao, Qiran & Glauben, Thomas & Teuber, Ramona, 2014. "Economic growth and nutrition transition: an empirical study comparing demand elasticities for foods in China and Russia," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182828, European Association of Agricultural Economists.
    9. Ramírez, José Carlos & Ortiz-Arango, Francisco & Rosellón, Juan, 2021. "Impact of Mexico's energy reform on consumer welfare," Utilities Policy, Elsevier, vol. 70(C).
    10. Oliver, Atara Stephanie, 2013. "Information Technology and Transportation: Substitutes or Complements?," MPRA Paper 46548, University Library of Munich, Germany.
    11. Cupák, Andrej & Pokrivčák, Ján & Rizov, Marian, 2015. "Food Demand and Consumption Patterns in the New EU Member States: The Case of Slovakia," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 63(4), pages 339-358.
    12. Gilles Quentin Kane & Gwladys Laure Mabah Tene & Jean-Joël Ambagna & Isabelle Piot-Lepetit & Fondo Sikod, 2015. "The impact of food price volatility on consumer welfare in Cameroon," Working Papers hal-02801351, HAL.
    13. Li, Shaoting & Chen, Xuan & Ren, Yanjun & Glauben, Thomas, 2024. "The impact of demographic dynamics on food consumption and its environmental outcomes: Evidence from China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23(2), pages 414-429.
    14. Nakelse, Tebila & Dalton, Timothy J. & Hendricks, Nathan P. & Hodjo, Manzamasso, 2018. "Are smallholder farmers better or worse off from an increase in the international price of cereals?," Food Policy, Elsevier, vol. 79(C), pages 213-223.
    15. Haider, Adnan & Zaidi, Masroor, 2017. "Food Consumption Patterns and Nutrition Disparity in Pakistan," MPRA Paper 83522, University Library of Munich, Germany.
    16. Rizoc, Marian & Cupak, Andrej & Pokrivcak, Jan, 2015. "Food Security and household consumption patterns in Slovakia," 2015 Conference, August 9-14, 2015, Milan, Italy 211553, International Association of Agricultural Economists.
    17. Robert Ugochukwu Onyeneke & Chukwuemeka Chinonso Emenekwe & Mark Umunna Amadi & Jane Onuabuchi Munonye & Chukwudi Loveday Njoku & Chibuzo Uzoma Izuogua, 2020. "Demand analysis of rice in Nigeria: application of quadratic almost ideal demand system model," Asian Journal of Agriculture and rural Development, Asian Economic and Social Society, vol. 10(1), pages 364-378, June.
    18. Shittu, Adebayo M. & Obayelu, Oluwakemi A. & Salman, Kabir K., 2014. "Welfare Effects of Policy-induced Rising Food Prices on Farm Households in Nigeria," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170697, Agricultural and Applied Economics Association.
    19. Gilles Quentin Kane & Gwladys Laure Mabah Tene & Jean Joël Ambagna & Isabelle Piot-Lepetit & Fondo Sikod, 2015. "The impact of food price volatility on consumer welfare in Cameroon," WIDER Working Paper Series 013, World Institute for Development Economic Research (UNU-WIDER).
    20. Korir, Lilian & Rizov, Marian & Ruto, Eric, 2020. "Food security in Kenya: Insights from a household food demand model," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 92, pages 99-108.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:climat:v:161:y:2020:i:4:d:10.1007_s10584-020-02715-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.