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Upscaling Climate Smart Agriculture (CSA) Technologies in India to 2050: A Modeling Approach

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Climate Smart Agriculture in South Asia

Abstract

A group of biophysical and economic models is configured to implement a modelling approach to upscale Climate Smart Agriculture (CSA) technologies to simulate the impacts and costs of climate change at the national level. There is also an attempt to evaluate the effectiveness of CSA technologies in counteracting the impacts of climate change. Due to climate change, crop yields and production are projected to decline by as much as 10.5 and 9.9% respectively, compared to the rest of the world, where the predicted yield and production declines will be 5.0 and 3.7% in 2050. CSA technologies can fully compensate for the yield and production effects of climate change. Among the single CSA technology suites, irrigation water technology and soil-fertility technology seem to be the best, but adoption of stacked technologies appears to provide higher benefits. CSA technologies alone are insufficient to achieve the goal of doubling farmers’ income. Additional policies and investment are needed to ensure price stability and encourage crop intensification and diversification to boost farm incomes.

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Notes

  1. 1.

    RCP means representative concentration pathways. SSP means shared socio-economic pathways.

References

  • Field, C. B., & Barros, V. R. (Eds.). (2014). Climate change 2014: Impacts, adaptation, and vulnerability (Vol. 1). Cambridge, New York: Cambridge University Press.

    Google Scholar 

  • IIASA (International Institute for Applied Systems Analysis). (2013). SSP Database. Accessed 2014. https://secure.iiasa.ac.at/web-apps/ene/SspDb/dsd?Action=htmlpage&page=about.

  • IIASA (International Institute for Applied Systems Analysis). (2015). RCP Database. Accessed 2015. www.iiasa.ac.at/web-apps/tnt/RcpDb.

  • India Today. (2016). India becomes world’s largest exporter of rice: List of top exporters. News Clip. January 28, 2016. Accessed online from http://indiatoday.intoday.in/.

  • IPCC. (2014). In C. B. Field, V. R. Barros, D. J. Dokken, K. J. Mach, M. D. Mastrandrea, T. E. Bilir, M. Chatterjee, K. L. Ebi, Y. O. Estrada, R. C. Genova, B. Girma, E. S. Kissel, A.N. Levy, S. MacCracken, P. R. Mastrandrea, & L. L. White (Eds.), Climate change 2014: Impacts, adaptation, and vulnerability. Part A: Global and sectoral aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (1132 pp.). Cambridge, UK and New York, NY, USA: Cambridge University Press.

    Google Scholar 

  • Reuters. (2015). India signs biggest wheat import deals in over a decade—Trade sources. News Clip. June 23, 2015. Accessed online at http://in.reuters.com/article/india-wheat-import-deal-idINKBN0P311220150623.

  • Robinson, S., Mason d’Croz, D., Islam, S., Sulser, T. B., Robertson, R. D., Zhu, T., et al. (2015). The international model for policy analysis of agricultural commodities and trade (IMPACT): Model description for version 3. IFPRI Discussion Paper 1483. Washington, D. C.: International Food Policy Research Institute (IFPRI). http://ebrary.ifpri.org/cdm/ref/collection/p15738coll2/id/129825.

  • Rosegrant, M. W., Koo, J., Cenacchi, N., Ringler, C., Robertson, R. D., Fisher, M., et al. (2014). Food security in a world of natural resource scarcity: The role of agricultural technologies. Washington, DC: IFPRI.

    Google Scholar 

  • United Nations. (2017). World population prospects—The 2017 revision. United nations, New York, USA: Department of Economic and Social welfare, Population Division.

    Book  Google Scholar 

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Correspondence to Barun Deb Pal .

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Perez, N.D., Joshi, P.K., Pal, B.D. (2019). Upscaling Climate Smart Agriculture (CSA) Technologies in India to 2050: A Modeling Approach. In: Pal, B., Kishore, A., Joshi, P., Tyagi, N. (eds) Climate Smart Agriculture in South Asia. Springer, Singapore. https://doi.org/10.1007/978-981-10-8171-2_6

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  • DOI: https://doi.org/10.1007/978-981-10-8171-2_6

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