IDEAS home Printed from https://ideas.repec.org/p/ags/iaae18/277100.html

Climate change impacts and vulnerability of fallow-chickpea based farm households in India: Assessment using Integrated modeling approach

Author

Listed:
  • Nedumaran, S.
  • Kadiyala, D.M.
  • Srigiri, S.R.
  • Roberto, V.
  • McDermid, S.

Abstract

The rainfed farming in India is characterized by low productivity, frequent weather variability, policy bias, poor market and infrastructure and degraded natural resources, which leads to low farm income and farm households vulnerability. Along with these challenges, changing climate and socio-economic conditions in the future are serious threat to the rainfed farming and household farm profitability. In this paper we use the AgMIP Regional Integrated Assessment (RIA) methods which integrates climate, crop and economic modeling to assess potential impacts of climate change on economic vulnerability of farm households, average farm net returns and poverty in semi-arid region of Andhra Pradesh, India. This study used the socio-economic data from representative household survey, together with down-scaled climate data, site-specific crop model simulations. The simulation results shows that the majority of fallow-chickpea based farm households are vulnerable (68% in warmer climate and 42% in wet climate) to climate change if current production systems are used in the future. Vulnerability is not uniform across the Kurnool district and climate impacts vary across climate scenarios. Therefore, development and promotion of location specific adaptation strategies linking technologies, policies and infrastructure is need to improve the resilience and adaptive capacity of farm rainfed farm households to climate change. Acknowledgement : This research was funded by Agricultural Model Inter-comparison and Improvement Project (AGMIP, www.agmip.org) and acknowledge for the contribution on the methodology. The opinions expressed here belong to the authors, and do not necessarily reflect those of ICRISAT or CGIAR.

Suggested Citation

  • Nedumaran, S. & Kadiyala, D.M. & Srigiri, S.R. & Roberto, V. & McDermid, S., 2018. "Climate change impacts and vulnerability of fallow-chickpea based farm households in India: Assessment using Integrated modeling approach," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277100, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae18:277100
    DOI: 10.22004/ag.econ.277100
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/277100/files/940.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.277100?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
    ---><---

    References listed on IDEAS

    as
    1. Toshichika Iizumi & Jing-Jia Luo & Andrew J. Challinor & Gen Sakurai & Masayuki Yokozawa & Hirofumi Sakuma & Molly E. Brown & Toshio Yamagata, 2014. "Impacts of El Niño Southern Oscillation on the global yields of major crops," Nature Communications, Nature, vol. 5(1), pages 1-7, September.
    2. John M. Antle & Roberto O. Valdivia, 2006. "Modelling the supply of ecosystem services from agriculture: a minimum‐data approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(1), pages 1-15, March.
    3. John M. Antle & Bocar Diagana & Jetse J. Stoorvogel & Roberto O. Valdivia, 2010. "Minimum-data analysis of ecosystem service supply in semi-subsistence agricultural systems," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(4), pages 601-617, October.
    4. Thomas Berger & Christian Troost & Tesfamicheal Wossen & Evgeny Latynskiy & Kindie Tesfaye & Sika Gbegbelegbe, 2017. "Can smallholder farmers adapt to climate variability, and how effective are policy interventions? Agent-based simulation results for Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 48(6), pages 693-706, November.
    5. Mendelsohn, Robert & Dinar, Ariel & Williams, Larry, 2006. "The distributional impact of climate change on rich and poor countries," Environment and Development Economics, Cambridge University Press, vol. 11(2), pages 159-178, April.
    6. John M. Antle & Sabine Homann-KeeTui & Katrien Descheemaeker & Patricia Masikati & Roberto O. Valdivia, 2018. "Using AgMIP Regional Integrated Assessment Methods to Evaluate Vulnerability, Resilience and Adaptive Capacity for Climate Smart Agricultural Systems," Natural Resource Management and Policy, in: Leslie Lipper & Nancy McCarthy & David Zilberman & Solomon Asfaw & Giacomo Branca (ed.), Climate Smart Agriculture, pages 307-333, Springer.
    7. Salvatore Falco & Marcella Veronesi, 2018. "Managing Environmental Risk in Presence of Climate Change: The Role of Adaptation in the Nile Basin of Ethiopia," Natural Resource Management and Policy, in: Leslie Lipper & Nancy McCarthy & David Zilberman & Solomon Asfaw & Giacomo Branca (ed.), Climate Smart Agriculture, pages 497-526, Springer.
    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. Tesfaye C. Cholo & Luuk Fleskens & Diana Sietz & Jack Peerlings, 2019. "Land fragmentation, climate change adaptation, and food security in the Gamo Highlands of Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 39-49, January.
    2. Shikuku, Kelvin M. & Valdivia, Roberto O. & Paul, Birthe K. & Mwongera, Caroline & Winowiecki, Leigh & Läderach, Peter & Herrero, Mario & Silvestri, Silvia, 2017. "Prioritizing climate-smart livestock technologies in rural Tanzania: A minimum data approach," Agricultural Systems, Elsevier, vol. 151(C), pages 204-216.
    3. Lungile S. Gidi & Lelethu Mdoda & Zoleka Ncoyini-Manciya & Lwandiso Mdiya, 2024. "Climate Change and Small-Scale Agriculture in the Eastern Cape Province: Investigating the Nexus of Awareness, Adaptation, and Food Security," Sustainability, MDPI, vol. 16(22), pages 1-32, November.
    4. Valdivia, Roberto O. & Antle, John M. & Stoorvogel, Jetse J., 2012. "Coupling the Tradeoff Analysis Model with a market equilibrium model to analyze economic and environmental outcomes of agricultural production systems," Agricultural Systems, Elsevier, vol. 110(C), pages 17-29.
    5. Skidmore, Samuel & Santos, Paulo & Leimona, Beria, 2014. "Targeting REDD+: An Empirical Analysis of Carbon Sequestration in Indonesia," World Development, Elsevier, vol. 64(C), pages 781-790.
    6. John Antle & Stephen Ogle, 2012. "Influence of soil C, N 2 O and fuel use on GHG mitigation with no-till adoption," Climatic Change, Springer, vol. 111(3), pages 609-625, April.
    7. Murshed-E-Jahan, K. & Crissman, C. & Antle, J., 2013. "Economic and social impacts of Integrated Aquaculture-Agriculture technologies in Bangladesh," Monographs, The WorldFish Center, number 40077, April.
    8. Erqi Xu & Hongqi Zhang & Yang Yang & Ying Zhang, 2014. "Integrating a Spatially Explicit Tradeoff Analysis for Sustainable Land Use Optimal Allocation," Sustainability, MDPI, vol. 6(12), pages 1-22, December.
    9. Jiang, Yanan & Guan, Dongjie & He, Xiujuan & Yin, Boling & Zhou, Lilei & Sun, Lingli & Huang, Danan & Li, Zihui & Zhang, Yanjun, 2022. "Quantification of the coupling relationship between ecological compensation and ecosystem services in the Yangtze River Economic Belt, China," Land Use Policy, Elsevier, vol. 114(C).
    10. Reynolds, Travis & Kolodinsky, Jane & Murray, Byron, 2012. "Consumer preferences and willingness to pay for compact fluorescent lighting: Policy implications for energy efficiency promotion in Saint Lucia," Energy Policy, Elsevier, vol. 41(C), pages 712-722.
    11. Landry, Joel R., 2021. "The political allocation of green pork and its implications for federal climate policy," Journal of Public Economics, Elsevier, vol. 201(C).
    12. Mofoluwawo Esther Omoniyi, 2020. "Sensitizing Nigerian Citizens on the Effects of Climate Change: Challenges for Social Studies Curriculum Planners and Implementers," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 4(9), pages 699-703, September.
    13. Alejandro Lopez-Feldman, 2013. "Climate change, agriculture, and poverty: A household level analysis for rural Mexico," Economics Bulletin, AccessEcon, vol. 33(2), pages 1126-1139.
    14. Lal, R., 2011. "Sequestering carbon in soils of agro-ecosystems," Food Policy, Elsevier, vol. 36(S1), pages 33-39.
    15. Liu, Duan & Tang, Runcheng & Xie, Jun & Tian, Jingjing & Shi, Rui & Zhang, Kai, 2020. "Valuation of ecosystem services of rice–fish coculture systems in Ruyuan County, China," Ecosystem Services, Elsevier, vol. 41(C).
    16. Cao, Juan & Zhang, Zhao & Tao, Fulu & Chen, Yi & Luo, Xiangzhong & Xie, Jun, 2023. "Forecasting global crop yields based on El Nino Southern Oscillation early signals," Agricultural Systems, Elsevier, vol. 205(C).
    17. Peri, Massimo, 2015. "Cliamte Variability and Agricultural Price volatility: the case of corn and soybeans," 2015 Conference, August 9-14, 2015, Milan, Italy 212623, International Association of Agricultural Economists.
    18. Ingmar Schumacher, 2014. "The Aggregation Dilemma," Working Papers 2014-224, Department of Research, Ipag Business School.
    19. Matthias Schmidt & Hermann Held & Elmar Kriegler & Alexander Lorenz, 2013. "Climate Policy Under Uncertain and Heterogeneous Climate Damages," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(1), pages 79-99, January.
    20. Momanyi, Denis & Lagat, Prof. Job K. & Ayuya, Dr. Oscar I., 2016. "Analysis of the Marketing Behaviour of African Indigenous Leafy Vegetables among Smallholder Farmers in Nyamira County, Kenya," MPRA Paper 69202, University Library of Munich, Germany, revised 27 Jan 2016.

    More about this item

    Keywords

    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:ags:iaae18:277100. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

    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.