Do Socio-economic Conditions and Personal Behaviour Influence the Adoption of Climate Change Mitigating Measures
DOI:
https://doi.org/10.48165/IJEE.2023.59205Keywords:
Adoption, Climate change perception, Determinants, Logit, Soil and water conservationAbstract
This study aimed to identify the factors affecting farmers’ perception of climate change and the adoption of Soil and Water Conservation (SWC) measures as a mitigation strategy for climate change. From the existing literature review, the study has identified the factors that potentially influence the adoption of climate mitigation and adaptation technologies. The binary logit model was employed using survey data collected from the Agra district of Uttar Pradesh during the year 2018-19. Results show that about 60 per cent of households had a clear perception of climate change, and age, education, membership of groups, mass media exposure, and extension agency contacts were key influencing factors in farmers’ perception of climate change. Similarly, education, occupation, mass media exposure, awareness of climate change consequences, climate change perception, and attitude of farmers increase the probability of adopting soil and water conservation measures by the farmers in their fields. Therefore, the study results have significant implications for policies and campaigns promoting adopting climate-smart technologies to make the agricultural system more resilient to climate change.
Downloads
References
Banerjee, R. R. (2015). Farmers’ perception of climate change, impact and adaptation strategies: a case study of four villages in the semi-arid regions of India. Natural Hazards, 75, 2829– 2845.
Barman, R. N., & Das, R. (2010). A study of socio-economic factors influencing adoption of farm level soil and water conservation practices in the ravine area of North bank plain zone of Assam. Indian Journal of Agricultural Economics, 65(3), 430-447.
Birthal, P. S., Hazrana, J., & Negi, D. S. (2019). A multilevel analysis of drought risk in Indian agriculture: implications for managing risk at different geographical levels. Climatic Change, 157, 499- 513.
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.
Greene, A. M., Goddard, L., & Cousin, R. (2011). Web tool deconstructs variability in twentieth-century climate. EOS Transactions American Geophysical Union, 92(45), 397–398.
Guhathakurta, P., Kumar, S., Preetha, B. L., Prasad, A. K., Sable, S. T., & Advani, S. C. (2020). Observed rainfall variability and changes over Uttar Pradesh State. Met Monograph No.: ESSO/ IMD/HS/Rainfall Variability/27(2020)/51. India Meteorological Department, GoI, Pune.
Gupta, A., & Pathak, H. (2016). Climate Change and Agriculture in India. A Thematic Report, Department of Science & Technology, Ministry of Science & Technology, Government of India, New Delhi.
Mairura, F. S., Musafiri, C. M., Kiboi, M. N., Macharia, J. M., Ng’etich, O. K., Shisanya, C. A., Okeyo, J. M., Mugendi, D. N.,
Okwuosa, E. A., & Ngetich, F. K. (2021). Determinants of farmers’ perceptions of climate variability, mitigation, and adaptation strategies in the central highlands of Kenya. Weather and Climate Extremes, 34, 100374.
Mandal, A., Acharya, S. K., & Haque, M. (2022). Socio-ecological factors influencing farmers’ perceptions on water management under conservation agriculture. Indian Journal of Extension Education, 58(3), 60–64.
Meena, D. C. (2022). Land degradation causes, consequences and potential solutions. Food Scientific and Report, 3(2), 28–31. Meena, D. C., Dubey, R. K., Pal, R., & Dubey, S. K. (2022a). Climate change-oriented risk awareness, knowledge and adaptation strategies in semi-arid region, Agra, India. Indian Journal of Soil Conservation, 50(2), 147-153.
Meena, D. C., Dubey, R. K., Pal, R., Dubey, S. K., & Bishnoi, R. (2022b). Assessment of farmers’ attitude and social vulnerability to climate change in the semi-arid region. Indian Journal of Extension Education, 58(3), 46–50.
Meena, D. C., Pal, S., & Chand, P. (2022c). Assessment of watershed management ecosystem services in India: a meta-analysis. Current Science, 123(11), 1352-1358.
Meena, D. C., Parandiyal, A. K., Kumar, D., & Dogra. P. (2021). Evaluation of farming systems of degraded lands of Yamuna ravines in Central India for income generation and sustainable livelihoods. Indian Journal of Soil Conservation, 49(1), 50-58.
Meena, D. C., Ramarao, C. A., Dhyani, B. L., Dogra, P., Dubey, S. K., & Mishra, P. K. (2020). Factors influencing adoption of soil and water conservation measures in India: Reviewing the evidence. International Journal of Current Microbiology and Applied Science, 9(6), 712-720.
Mondal, B., Singh, A., & Sekar, I. (2013). Dimensions and determinants of people’s participation in watershed development programmes in Bundelkhand region of Madhya Pradesh: An econometric analysis. Indian Journal Soil Conservation, 41(2), 177-184.
Naik, B. M., Singh, A. K., Roy, H., & Maji, S. (2023). Assessing the adoption of climate resilient agricultural technologies by the farmers of Telangana State. Indian Journal of Extension Education, 59(1), 81–85.
Pande, V. C., Kurothe, R. S., Singh, H. B., & Tiwari, S. P. (2011). Incentives for soil and water conservation on farm in ravines of Gujarat: Policy implications for future adoption. Agricultural Economics Research Review, 24(2), 109-118.
Ravikumar, K., Nain, M. S., Singh, R., Chahal, V. P., & Bana, R. S. (2015). Analysis of farmers’ communication network and factors of Knowledge regarding agro metrological parameters. Indian Journal of Agricultural Sciences, 85(12), 1592-1596.
Roco, L., Engler, A., Bravo-Ureta, B. E., & Roberto, J. R. (2015). Farmers’ perception of climate change in Mediterranean Chile. Regional Environment Change, 15, 867–879.
Sharma, A., Wasko, C., & Lettenmaier, D. P. (2018). If precipitation extremes are increasing, why aren’t floods? Water Resource Research, 54, 8545–8551.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
How to Cite
