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Technical Efficiency and Value Chain Analysis of Potato in a South-East Asian Country

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Statistics for Data Science and Policy Analysis

Abstract

This study was conducted to assess the technical efficiency, capital financing and value chain analysis of potato in Bangladesh from November 2015 to April 2016. In total 252 farm households were selected as sample from top four potato growing districts Rangpur, Munshigonj, Bogra and Rajshahi. Additionally, 12–13 small and medium rural traders were selected from each district. In the case of retailers, 61 were chosen, 10 from each district while 21 were selected from the capital, Dhaka. Similarly for urban wholesalers 8 were selected from each district and 18 from Dhaka. Stochastic frontier model was used to analyse data and found that among the different variables K fertilizer, irrigation and seed cost is statistically significant at different levels. Additionally, technical inefficiency model find education, farm size and credit is statistically significant at 5% level of significant. These variables have great impact on efficiency of potato cultivation. The govt. should support on N fertilizer, pesticide and other statistically insignificant variables to increase the efficiency of the farmers at higher level. In potato value chain, farmers, small traders and large traders (Bapari) share was 28.57%, 13.07% and 11.58% respectively. The share of Aratdar was 15.87% and 8.44% for commission agent. The rural and urban retailers share is 9.23% and 11.48%. The share of the processing company and cold storage was 42.31% and 33.33% respectively. The information obtained in this study will help the policy maker to take such policy that helps to increase the efficiency at farmer’s level and develop efficient potato value chain in Bangladesh.

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Afroj, M., Kazal, M.M.H., Chowdhury, I.F., Rahman, M.M. (2020). Technical Efficiency and Value Chain Analysis of Potato in a South-East Asian Country. In: Rahman, A. (eds) Statistics for Data Science and Policy Analysis. Springer, Singapore. https://doi.org/10.1007/978-981-15-1735-8_26

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