Determinants of adaptation practices to climate change: insights from soybean growers in Central India

DETERMINANTS OF PRACTICES TO CLIMATE CHANGE: INSIGHTS FROM SOYBEAN GROWERS IN INDIA


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Authors

  • B U DUPARE ICAR-Indian Institute of Soybean Research, Khandwa Road, Indore-452 001, Madhya Pradesh
  • PURUSHOTTAM SHARMA ICAR-Indian Institute of Soybean Research, Khandwa Road, Indore-452 001, Madhya Pradesh
  • S D BILLORE ICAR-Indian Institute of Soybean Research, Khandwa Road, Indore-452 001, Madhya Pradesh

https://doi.org/10.56739/jor.v38i3.137164

Keywords:

Adaptation practices, Climate change, Determinants, Multivariate probit analysis

Abstract

The study analyzed the determinants of adaptation practices of soybean growers toward climate change in Central India using primary data collected through household survey from 280 soybean growers. The influence of a set of explanatory variables on each of the different adaptation strategies was simultaneously modeled using multivariate probit analysis. The most widely practiced adaptation measure was change in the variety (71% farmers) followed by the change in time of farm operations and crop change or crop diversification. To cope with the insect-pest and disease attack on the crops, farmers adopted resistant varieties to minimize the cost of chemical spray. More than one-third of the sampled farmers practiced change in input application, while soil and water management practices were practiced by nearly 28% of the farmers. Analysis of results indicated that the change in varieties of crops is significantly more likely to be adopted by households with larger family size, higher involvement in extension activities, having a tractor, higher educated head of household. Households with higher family income, possessing mobile phones and other infrastructure are more likely to adopt the change in varieties, whereas farmers having highersocial participation, extension contact, larger land holding, and belonging to ethnic origin other than scheduled caste or scheduled tribe do not necessarily do so. The government should frame out policiestowardsthe promotion oftechnological and institutional measuressuitable to various categories offarmers so that the adaptation strategies could be helpful in maintaining and/or increasing the sustainability of the production systems.

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References

Aggarwal P K 2008. Global climate change and Indian agriculture: impacts, adaptation and mitigation. Indian Journal of Agricultural Sciences, 78(10): 911.

Arimi K S 2013. Determinants of climate change adaptation strategies used by fish farmers in Epe local government Area of Lagos state, Nigeria. Journal of the Science of Food and Agriculture, 94: 1470-1476. DOI: https://doi.org/10.1002/jsfa.6452

Bahinipati C S 2015. Determinants of farm-level adaptation diversity to cyclone and flood: Insights from a farm household-level survey in Eastern India. Water Policy, 17(4): 742-761. doi: 10.2166/wp.2014.121. DOI: https://doi.org/10.2166/wp.2014.121

Bahinipati C S and Venkatachalam L 2015. What drives farmers to adopt farm-level adaptation practices to climate extremes: empirical evidence from Odisha, India, International Journal of Disaster Risk Reduction, 14(4): 347-356. DOI: https://doi.org/10.1016/j.ijdrr.2015.08.010

Bal S K and Minhas P S 2017. Atmospheric stressors: challenges and coping strategies. In: Minhas et al. (Ed) Abiotic stress management for resilient agriculture. Springer Nature, Singapore, pp. 9-50. DOI: https://doi.org/10.1007/978-981-10-5744-1_2

Below T B, Mutabazi K D, Kirschke D, Franke C, Sieber S, Siebert R and Tscherning K 2012. Can farmers' adaptation to climate change be explained by socio-economic householdlevel variables? Global Environmental Change, 22: 223-235. DOI: https://doi.org/10.1016/j.gloenvcha.2011.11.012

Birthal P S, ParthasarathyRao P, Nigam S N, Bantilan M C S and Bhagavatula S 2010. Groundnut and soybean economies of Asia facts, trends and outlook. International Crops Research Institute for the Semi-Arid Tropics, Patancheru, Andhra Pradesh, India.

Bisaliah S 1986. Soybean Development in India. CGPRT Paper No.5. UN/ESCAP CGPRT Centre: Bogor, Indonesia. Bryan E, Deressa T T, Gbetibouo G A and Ringler C 2009. Adaptation to climate change in Ethiopia and South Africa: Options and constraints. Environmental Science & Policy, 12(4): 413-426. DOI: https://doi.org/10.1016/j.envsci.2008.11.002

Cappellari L and Jenkins S P 2003. Multivariate probit regression using simulated maximum likelihood. The Stata Journal, 3(3): 278-294. DOI: https://doi.org/10.1177/1536867X0300300305

Deressa T T 2010. Assessment of the vulnerability of Ethiopian agriculture to climate change and farmers' adaptation strategies, Ph.D. dissertation, Department of Agricultural Economics, Extension and Rural Development, University of Pretoria, South Africa.

Deressa T T, Hassan R M and Ringler C 2011. Perception of and adaptation to climate change by farmers in the Nile basin of Ethiopia. Journal of Agriculture Science, 149: 23-31. DOI: https://doi.org/10.1017/S0021859610000687

Deressa T T, Hassan R M, Ringler C, Alemu T and Yesuf M 2009. Determinants of farmers' choice of adaptation methods to climate change in the Nile basin of Ethiopia. Global Environmental Change, 19: 248-255. DOI: https://doi.org/10.1016/j.gloenvcha.2009.01.002

Di Falco S, Veronesi M and Yesuf M 2011. Does adaptation to climate change provide food security? A micro-perspective from Ethiopia. American Journal of Agricultural Economics, 93(3): 829-846. DOI: https://doi.org/10.1093/ajae/aar006

Di Falco S, Yesuf M, Kohlin G and Ringler C. 2012. Estimating the impact of climate change on agriculture in low-income countries: household level evidence from the Nile basin, Ethiopia. Environmental and Resource Economics, 52(4): 457-478. DOI: https://doi.org/10.1007/s10640-011-9538-y

Dupare B U, Sharma P, Billore S D and Verma S K 2020. Impact of climate change on soybean cultivation in Malwa and Nimar region of Madhya Pradesh: farmers' perspective. Soybean Research, 18(1): 87-97.

Gbetibouo G A 2009. Understanding farmers' perceptions and adaptations to climate change and variability. The case of the Limpopo basin, South Africa. IFPRI discussion paper 00849. International food policy research institute, Washington DC.

Golob T F and Regan A C 2002. Trucking industry adoption of information technology: a structural multivariate discrete choice model. Transportation Research Part C: Emerging Technologies, 10: 205-228. DOI: https://doi.org/10.1016/S0968-090X(02)00006-2

Hassan R and Nhemachena C 2008. Determinants of African farmers'strategies for adapting to climate change:multinomial choice analysis. African Journal of Agricultural Resource Economics, 2(1): 83-104.

Lin C T J, Jensen K L and Yen S T 2005. Awareness of Food-Borne Pathogens among US consumers. Food Quality and Preference, 16(5): 401-412. DOI: https://doi.org/10.1016/j.foodqual.2004.07.001

Maddison D 2007. The perception of and adaptation to climate change in Africa. Policy Research Working Paper 4308. The World Bank, Washington DC. DOI: https://doi.org/10.1596/1813-9450-4308

Mall R K, Bhatt D, Sonkar G and Banerjee T 2014. Simulation modelling and climate change: issues and challenges. Environmental Science and Pollution Research, 21(19): 11605-11608. DOI: https://doi.org/10.1007/s11356-014-3096-0

Mall R K, Singh R, Gupta A, Srinivasan G and Rathore L S 2006. Impact of climate change on Indian agriculture: a review. Climatic Change, 78(2-4): 445-478. DOI: https://doi.org/10.1007/s10584-005-9042-x

McCarthy N, Lipper L and Zilberman D. 2018. Economics of Climate Smart Agriculture: An Overview. In: Lipper N, McCarthy N, Zilberman D, Asfaw D, Branca S (Ed) Climate Smart Agriculture. Springer Verlag. DOI: https://doi.org/10.1007/978-3-319-61194-5

McCarthy James J 2001. Climate Change 2001. Impacts, Adaptation, and Vulnerability:Contribution ofWorkingGroup II to the third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.

Mittal S and Hariharan V K 2018. Mobile-based climate services impact on farmers risk management ability in India. Climate Risk Management, 22: 42-51. DOI: https://doi.org/10.1016/j.crm.2018.08.003

Mohanty M, Sinha N K, Lenka S, Hati K M, Somasundaram J, Saha R, Singh R K, Chaudhary R S and Subba Rao A 2015. Climate change impacts on rainfed soybean yield of Central India: management strategies through simulation modelling. In: Singh et al. (Ed.) Climate Change Modelling, Planning and Policy for Agriculture. DOI 10.1007/978-81-322- 2157-9-5, Springer India, pp. 39-44. DOI: https://doi.org/10.1007/978-81-322-2157-9_5

Mohanty M, Sinha N K, McDermid S, Chaudhary R S, SammireddyK, Hati K M, Somasundaram J, Lenka S, Patidar R K, Prabhakar M and Cherukumalli S R 2017. Climate change impacts vis-à-vis productivityofsoybean in Vertisol of Madhya Pradesh. Journal of Agrometeorology, 19(1): 10-16. DOI: https://doi.org/10.54386/jam.v19i1.749

Nhemachena C and Hassan R 2007. Micro-level analysis of farmers' adaptation to climate change in southern Africa. IFPRI discussion paper 00714. International Food Policy Research Institute, Washington DC.

NRAA 2012. Prioritization of rainfed areas in India. StudyReport 4. National Rainfed Area Authority, New Delhi. Panda A, Sharma U, Ninan K N and Patt A 2013. Adaptive

capacity contributing to improved agricultural productivity at the household level: empirical findings highlighting the importance of crop insurance. Global Environmental Change, 23(4): 782-790. DOI: https://doi.org/10.1016/j.gloenvcha.2013.03.002

Pathak H, Pramanik P, Khanna M and Kumar A 2014. Climate change and water availability in Indian agriculture: impacts and adaptation. Indian Journal of Agricultural Sciences, 84: 671-679. DOI: https://doi.org/10.56093/ijas.v84i6.41421

Patt A, Suarez P and Gwata C 2005. Effects of seasonal climate forecasts and participatory workshops among subsistence farmers in Zimbabwe. Proceedings of the National Academy of Sciences, 102(35): 12623-12628. DOI: https://doi.org/10.1073/pnas.0506125102

Piya L, Maharajan K L and Joshi N P 2013 Determinants of adaptation practicesto climate change byChepang households in the rural mid-hills of Nepal. Regional Environmental Change, 13: 437-447. DOI: https://doi.org/10.1007/s10113-012-0359-5

Porter J R, Xie L, Challinor A J, Cochrane K, Howden S M, Iqbal M M, Lobell D B and Travasso M I 2014. Food security and food production systems. In: Field et al. (Ed) Climate Change 2014: Impacts, adaptation, and vulnerability Part A: Global

and sectoral aspects, pp. 485-533. Contribution of Working Group II to the Fifth Assessment 31 Report of the Intergovernmental Panel onClimate Change. Cambridge, UK, Cambridge University Press, New York, U.S.

Seo S N and Mendelsohn R 2006. Climate change adaptation in Africa: a microeconomic analysis of livestock choice. CEEPA Discussion Paper No. 19. Center for Environmental Economics and Policy in Africa, University of Pretoria. DOI: https://doi.org/10.1596/1813-9450-4277

Seo S N and Mendelsohn R 2008a. An analysis of crop choice: adapting to climate change in South American farms. Ecological Economics, 67: 109-116. DOI: https://doi.org/10.1016/j.ecolecon.2007.12.007

Seo S N and Mendelsohn R 2008b. Animal husbandry in Africa: climate change impacts and adaptations. African Journal of Agricultural Resource Economics, 2(1): 65-82.

Sharma B 2013. Impact of climate change on water resources and potential adaptations for Indian agriculture. Annals of Agricultural Research, 34(1):1-14.

Sharma P 2016. Dynamics of growth of soybean in India: role of income and risk. Agricultural Situation in India, 73(6): 37-46.

Sharma P, Dupare B U and Patel R M 2016. Soybean improvement through research in India and socio-economic changes. Legume Research, 39(6): 935-945. DOI: https://doi.org/10.18805/lr.v0iOF.11190

Sharma P, Patel R M and Dupare B U 2015. Profitability of soybean vis-a-vis major kharif crops in Madhya Pradesh. Soybean Research, 13(2): 65-77.

Sharma P, Dupare B U and Patel R M 2018. Technology adoption, its impact and determinants: the case of soybean in Madhya Pradesh. Agricultural Economics Research Review, 31(2): 281-289. DOI: https://doi.org/10.5958/0974-0279.2018.00045.9

Singh N P, Anand B, Singh S and Khan MA 2019. Mainstreaming climate change adaptation in Indian rural development agenda: a micro-level convergence. Climate Risk Management, 24: 30-41. DOI: https://doi.org/10.1016/j.crm.2019.04.003

Singh N P, Byjesh K and Bantilan C 2015. Climate change vulnerability and adaptation strategies with a rural-farm level perspective: A retrospection. In: Singh NP, Bantilan C, Byjesh K, Nedumaran S (Eds.), Climate Change Challenges and DOI: https://doi.org/10.1079/9781780644639.0001

Adaptations at Farm-level: Case Studies from Asia and Africa. CABI Private Limited, pp. 1-10.

Tripathi A and Mishra A K 2017. Knowledge and passive adaptation to climate change: An example from Indian farmers. Climate Risk Management, 16: 195-207. DOI: https://doi.org/10.1016/j.crm.2016.11.002

UN 2015.

UN Sustainable Development Goals. http://www.un.org/sustainabledevelopment/sustainable-deve lopment-goals.

UNFCCC 2009. Climate change: impacts, vulnerabilities and adaptation in developing countries. Retrieved Oct Feb 2019, www.unfccc.int/resource/docs/publications/impacts.pdf.

UNFCCC 2020. What do adaption to climate change and climate resilience mean? https://unfccc.int/topics/adaptation-andresilience/the-big-picture/what-do-adaptation-to-climate-cha nge-and-climate-resilience-mean, accessed on October, 2020.

Venkateswarlu B and Prasad J V N S 2012. Carrying capacity of Indian agriculture: issues related to rainfed agriculture. Current Science, 102(6): 882-888.

Wooldridge J M 2006. Introductory Econometrics, A Modern Approach. Thomson South Western.

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Submitted

2023-06-01

Published

2021-10-13

How to Cite

B U DUPARE, PURUSHOTTAM SHARMA, & S D BILLORE. (2021). Determinants of adaptation practices to climate change: insights from soybean growers in Central India: DETERMINANTS OF PRACTICES TO CLIMATE CHANGE: INSIGHTS FROM SOYBEAN GROWERS IN INDIA. Journal of Oilseeds Research, 38(3). https://doi.org/10.56739/jor.v38i3.137164