Factors Affecting Adoption of Climate-smart Agriculture Practices: Evidence from Uttar Pradesh, India
DOI:
https://doi.org/10.48165/IJEE.2024.60205Keywords:
Binary logistic regression, Climate change, Climate adaptation, Climate-smart agriculture, Rainfed agricultureAbstract
The study examined the determinants of climate-smart agriculture (CSA) practices in Uttar Pradesh. The systematically collected data of 480 sampled farmers from two regions of Uttar Pradesh, namely Central and Bundelkhand, was analysed using the binary logistic regression model. A field survey was conducted in August and September 2022. Farmers belonging to the Lucknow district were having relatively higher adoption rates of CSA practices. Entrepreneurial orientation (EO), consisting of risk-taking, innovativeness, and pro-activeness, was a significant factor influencing farmers’ adoption of CSA techniques. The findings show that male farmers are more inclined to use irrigation, certified seed, crop rotation, and soil testing. Education is linked to the acceptance of certified seed and soil testing, which necessitates financial commitment from farmers. Farmers, who have improved their irrigation facilities their income increased by 11.50 per cent, while those who had tested soil before plantation, the income increased by 54.76 per cent. Therefore, research indicates that entrepreneurship training and education courses for farmers should be customised to aspects of entrepreneurial orientation, such as risk-taking, innovativeness, and proactiveness.
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References
Boyabath, O., Nasiry, J., & Zhou, Y. (2019). Crop planning in sustainable agriculture: dynamic farmland allocation in the presence of crop rotation benefits. Management Sciences, 65(5), 2060–2076.
Chand, K., & Biradar, N. (2017). Socio-economic impacts of drought in India. In: Drought Mitigation and Management (eds. Suresh Kumar, Tanwar SPS & Singh Akhath), Scientific Publishers, New Delhi, 245-263.
Choudhary, B. B., Dev, I., Singh, P., Singh, R., Sharma, P., Chand, K., Garg, K. K., Anantha, K., Akuraju, V., Dixit, S., Kumar, S., Ram, A., & Kumar, N. (2022). Impact of soil and water conservation
measures on farm productivity and income in the semi-arid tropics of Bundelkhand, central India. Environmental Conservation, 49, 263–271.
Ghanghas, B. S., Shehrawat, P. S., & Nain, M. S. (2015). Knowledge of extension professionals regarding impact of climate change in agriculture. Indian Journal of Extension Education, 51(3&4), 125-129.
Gupta, B., Kher, S. K., & Nain, M. S. (2013). Entrepreneurial behaviour and constraints encountered by dairy and poultry entrepreneurs in Jammu Division of J&K State. Indian Journal of Extension Education, 49(3&4), 126-129.
Gupta, S. K., Nain, M. S., Singh, R., Mishra, J. R., & Lata A. (2023). Exploring the entrepreneurial climate and attributes of agripreneurs and its determinants. Indian Journal of Extension Education, 59(2), 93-97.
Hansen, B. G. (2015). Robotic milking-farmer experiences and adoption rate in Jaren, Norway. Journal of Rural Studies, 41, 109–117.
Jatav, S. S., & Singh, N. P. (2023). Determinants of climate change adaptation strategies in Bundelkhand Region, India. Indian Journal of Extension Education, 59(2), 6–9.
Jatav, S. S. (2020). Bridging the gap between biophysical and social vulnerability in rural India: A community Livelihood Vulnerability Approach. Area Development and Policy, 5(4), 390-411.
Jatav, S. S. (2024). Farmers’ perception of climate change livelihood vulnerability: A comparative study of Bundelkhand and Central regions of Uttar Pradesh, India. Discover Sustainability, 4(11), 1-16.
Jatav, S. S., & Mubeena, M.d (2023). Factors affecting household food security in Bundelkhand region of India. Indian Journal of Extension Education, 59(4), 67–71.
Jena, P. R., Purna, C. T., & Keshav, L. M. (2023). Determinants of adoption of climate resilient practices and their impact on yield and household income. Journal of Agriculture and Food Research, 14, 100659.
Kangogo, D., Domenico, D., & Jos, B. (2023). Adoption of climate smart agriculture among smallholder farmers: Does farmers entrepreneurship matter? Land Use Policy, 109, 105666.
Khatri-Chhetri, A., Aryal, J. P., Sapkota, T. B., & Khurana, R. (2016). Economic benefits of climate-smart agricultural practices to smallholder farmers in the Indo-Gangetic Plains of India. Current Science, 110, 1251–1256.
Lan, L., Sain, G., Czaplicki, S., Guerten, N., Shikuku, K. M., Grosjean, G., & Läderach, P. (2018). Farm-level and community aggregate economic impacts of adopting climate smart agricultural practices in three mega environments. PLOS ONE, 13, 1–21.
Lopez-Ridaura, S., Frelat, R., van Wijk, M. T., Valbuena, D., Krupnik, T. J., & Jat, M. L. (2018). Climate smart agriculture, farm household typologies and food security: An ex-ante assessment from Eastern India. Agricultural Systems, 159, 57–68.
Makate, C., Makate, M., & Mango, N. (2017). Sustainable agriculture practices and livelihoods in pro-poor smallholder farming systems in southern Africa. African Journal of Science, Technology, Innovation and Development, 9, 269–279.
Mungai, L. M., Snapp, S., Messina, J. P., Chikowo, R., Smith, A., Anders, E., Richardson, R. B., & Li, G. (2016). Smallholder farms and the potential for sustainable intensification. Frontiers in Plant Science, 7, 1-17.
Nain, M. S., Rashmi, S., Mishra J. R., & Anil, K. S. (2024). Developing Model for diffusion of farmers’ innovations for maximizing farm income: Indian Agricultural Research Institute experience. Indian Journal of Extension Education, 60(1), 105-110.
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