Risk Management Through Weather Derivatives in Agriculture Sector In Indian Context
DOI:
https://doi.org/10.33516/maj.v58i5.55-58pKeywords:
No KeywordsAbstract
Agriculture plays a vital role in the Indian economy, with a significant portion of the population relying on it for their livelihoods. However, the sector is highly vulnerable to weather-related risks, causing immense uncertainty and financial losses for farmers. This research article explores the potential of weather derivatives as a risk management tool for the agricultural sector in India. By analyzing the literature and drawing on various case studies, this article highlights the challenges and opportunities associated with the implementation of weather derivatives in the Indian context.Downloads
Downloads
Published
How to Cite
Issue
Section
References
Abdi, M. J., Raffar, N., Zulkafli, Z., Nurulhuda, K., Rehan, B. M., Muharam, F. M., Khosim, N. A., & Tangang, F. (2022). Index-based insurance and hydroclimatic risk management in agriculture: A systematic review of index selection and yield-index modelling methods. International Journal of Disaster Risk Reduction, 67, 102653. https://doi.org/10.1016/j.ijdrr.2021.102653
Alam, A. S. A. F., Begum, H., Masud, M. M., Al-Amin, A. Q., & Filho, W. L. (2020). Agriculture insurance for disaster risk reduction: A case study of Malaysia. International Journal of Disaster Risk Reduction, 47, 101626. https://doi.org/10.1016/j.ijdrr.2020.101626
Bharath, V., Jyothi Shivakumar, N. M., & G, K. (2021). Feasibility of Creation of Rainfall Risk Market in India: A Perception Analysis - ProQuest. IUP Journal of Financial Risk Management, 18(3), 21–36. https:// www.proquest.com/openview/3d207a7197074b7b6652359a5fc69cd7/1?pq-origsite=gscholar&cbl=54459
Choksi, Anjali. (2014). Emergence of weather derivatives-feasibility in Indian context. ZENITH International Journal of Business Economics & Management Research, 2(5), 139–152. https://www.indianjournals.com/ijor.aspx?target=ijor:zijbemr&volume=2&issue=5&article=011
Lyubchich, V., Newlands, N. K., Ghahari, A., Mahdi, T., & Gel, Y. R. (2019). Insurance risk assessment in the face of climate change: Integrating data science and statistics. WIREs Computational Statistics, 11(4). https://doi.org/10.1002/wics.1462
Sharma, A. K., & Vashishtha, A. (2007). Weather derivatives: risk-hedging prospects for agriculture and power sectors in India. The Journal of Risk Finance, 8(2), 112–132. https://doi.org/10.1108/15265940710732323
Singla, S., & Sagar, M. (2012). Integrated risk management in agriculture: an inductive research. The Journal of Risk Finance, 13(3), 199–214. https://doi.org/10.1108/15265941211229235
Free Sample
Editorial Policy
