Stepwise methods for more nuanced adoption analysis: a case study of harvest and post‑harvest mechanization in Bangladesh

The adoption of agricultural harvest and post-harvest mechanization is crucial for addressing drudgery, food losses, climate vulnerability and food security. Despite considerable efforts by government and development partners to prioritize agricultural mechanization, labour-intensive manual (post-)h...

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Autores principales: Brown, Brendan, Timsina, Pragya, Sharma, Akriti, Aravindakshan, Sreejith, Krupnik, Timothy J.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Springer 2024
Materias:
Acceso en línea:https://hdl.handle.net/10568/163117
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author Brown, Brendan
Timsina, Pragya
Sharma, Akriti
Aravindakshan, Sreejith
Krupnik, Timothy J.
author_browse Aravindakshan, Sreejith
Brown, Brendan
Krupnik, Timothy J.
Sharma, Akriti
Timsina, Pragya
author_facet Brown, Brendan
Timsina, Pragya
Sharma, Akriti
Aravindakshan, Sreejith
Krupnik, Timothy J.
author_sort Brown, Brendan
collection Repository of Agricultural Research Outputs (CGSpace)
description The adoption of agricultural harvest and post-harvest mechanization is crucial for addressing drudgery, food losses, climate vulnerability and food security. Despite considerable efforts by government and development partners to prioritize agricultural mechanization, labour-intensive manual (post-)harvest activities continue to dominate in Bangladeshi smallholder systems. Explorations of this has been limited by simplistic binary approaches that ignore the dynamic pathways to usage outcomes. Instead, we apply non-binary analytical methods to district representative data to highlight the value in moving beyond binary adoption analysis. Results highlight that a national (post-)harvest mechanisation rate of 74% is insufficient to capture the true adoption status, given substantial disparity exists across machinery and by district. Deeper exploration of temporal and spatial differences enable the identification of key trends that warrant further in-depth explorations, while only 46% satisfaction with extension systems highlights the need to re-evaluate key information exchange mechanisms. We conclude that there is a clear need for district and machinery specific policy arrangements if Bangladesh is to achieve (post-)harvest mechanisation objectives that aim to reduce food loses and enable greater food security nationwide.
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spelling CGSpace1631172025-12-08T09:54:28Z Stepwise methods for more nuanced adoption analysis: a case study of harvest and post‑harvest mechanization in Bangladesh Brown, Brendan Timsina, Pragya Sharma, Akriti Aravindakshan, Sreejith Krupnik, Timothy J. smallholders mechanization harvesters postharvest equipment sustainable intensification The adoption of agricultural harvest and post-harvest mechanization is crucial for addressing drudgery, food losses, climate vulnerability and food security. Despite considerable efforts by government and development partners to prioritize agricultural mechanization, labour-intensive manual (post-)harvest activities continue to dominate in Bangladeshi smallholder systems. Explorations of this has been limited by simplistic binary approaches that ignore the dynamic pathways to usage outcomes. Instead, we apply non-binary analytical methods to district representative data to highlight the value in moving beyond binary adoption analysis. Results highlight that a national (post-)harvest mechanisation rate of 74% is insufficient to capture the true adoption status, given substantial disparity exists across machinery and by district. Deeper exploration of temporal and spatial differences enable the identification of key trends that warrant further in-depth explorations, while only 46% satisfaction with extension systems highlights the need to re-evaluate key information exchange mechanisms. We conclude that there is a clear need for district and machinery specific policy arrangements if Bangladesh is to achieve (post-)harvest mechanisation objectives that aim to reduce food loses and enable greater food security nationwide. 2024 2024-12-05T22:34:49Z 2024-12-05T22:34:49Z Journal Article https://hdl.handle.net/10568/163117 en Open Access application/pdf Springer Brown, B., Timsina, P., Sharma, A., Aravindakshan, S., & Krupnik, T. (2024). Stepwise methods for more nuanced adoption analysis: A case study of harvest and post-harvest mechanization in Bangladesh. Discover Agriculture, 2(1), 73. https://doi.org/10.1007/s44279-024-00088-1
spellingShingle smallholders
mechanization
harvesters
postharvest equipment
sustainable intensification
Brown, Brendan
Timsina, Pragya
Sharma, Akriti
Aravindakshan, Sreejith
Krupnik, Timothy J.
Stepwise methods for more nuanced adoption analysis: a case study of harvest and post‑harvest mechanization in Bangladesh
title Stepwise methods for more nuanced adoption analysis: a case study of harvest and post‑harvest mechanization in Bangladesh
title_full Stepwise methods for more nuanced adoption analysis: a case study of harvest and post‑harvest mechanization in Bangladesh
title_fullStr Stepwise methods for more nuanced adoption analysis: a case study of harvest and post‑harvest mechanization in Bangladesh
title_full_unstemmed Stepwise methods for more nuanced adoption analysis: a case study of harvest and post‑harvest mechanization in Bangladesh
title_short Stepwise methods for more nuanced adoption analysis: a case study of harvest and post‑harvest mechanization in Bangladesh
title_sort stepwise methods for more nuanced adoption analysis a case study of harvest and post harvest mechanization in bangladesh
topic smallholders
mechanization
harvesters
postharvest equipment
sustainable intensification
url https://hdl.handle.net/10568/163117
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