Abstract: This research paper investigates the marketing channels and post-harvest losses of banana cultivation in Khagaria district, Bihar. Utilizing a multi-stage stratified random sampling method, the study focuses on six randomly selected villages within the Khagaria block, known for extensive banana farming. The research examines three marketing channels: direct sales, intermediaries, and wholesale distribution. Analysis of these channels reveals that direct sales offer the highest marketing efficiency, with farmers retaining 95.35% of the consumer's price. In contrast, channels involving intermediaries show significant price spreads due to added marketing costs and margins. Post-harvest losses were found to increase with farm size, with large farmers experiencing the highest economic losses. Primary data was collected through structured interviews with farmers, distributors, and market experts, while secondary data was sourced from governmental and academic publications. The findings highlight the need for improved marketing strategies and post-harvest management to enhance farmer profitability and reduce losses, thereby contributing to sustainable agricultural practices in the region.
Keywords: Post-harvest, Sampling, Distribution, Academic, Publication
Author: Ashutosh Kumar and Pritesh Dwivedi
doi: https://doie.org/10.0602/AE.2024143168
Reference: Patil, G., Kale, R., & Pawar, N. (2018). Marketing Channels and Price Spread Analysis of Banana in Western Maharashtra. International Journal of Current Microbiology and Applied Sciences, 7(1), 2375-2382. Sharma, R., Singh, D., & Verma, A. (2016). Post-Harvest Management of Banana: Strategies to Reduce Losses. Journal of Agricultural Science and Technology, 18(4), 851-862. Singh, S., Kumar, V., & Mishra, R. (2017). Factors Affecting Post-Harvest Losses in Bananas: A Study in Bihar. International Journal of Postharvest Technology and Innovation, 5(2), 123-135. Suryawanshi, R., Deshmukh, M., & Chavan, U. (2019). Economic Analysis of Banana Cultivation and Marketing in Maharashtra. Agricultural Economics Research Review, 32(1), 91-100.
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