Predicting minimum tillage adoption among smallholder farmers using microlevel and policy variables
Minimum tillage combined with mulching (MTM) is critical to conservation agriculture, yet its use by smallholder farmers raises challenging questions regarding adoption, diffusion and scaling at farm level. In this paper, we used probit regression and post-estimation simulations to identify the key micro (farm specific) and macro (country specific) factors as predictors of MTM adoption in four countries spanning a north-south gradient in eastern and southern Africa (ESA): Ethiopia, Kenya, Tanzania and Malawi. We found that farmers’ access to markets and social capital empirically predicted MTM adoption. Policies that increased fertilizer subsidies and extension-staff-to-farmer ratios had similar effects, even if only modestly. Conceivably, subsidies specifically targeted at MTM could also be considered based on their potential environmental and social benefits. We conclude that adoption of MTM still faces the same micro- and macro-level hurdles common to all agricultural technologies. Long-term investments in agricultural extension and reductions in the costs of complementary inputs are critical for the diffusion of MTM.
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Format: | Article biblioteca |
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SpringerOpen
2017
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Subjects: | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, Adoption, Policy, Input Subsidies, AGRICULTURAL EXTENSION, CONSERVATION AGRICULTURE, POLICIES, SUBSIDIES, |
Online Access: | http://hdl.handle.net/10883/18708 |
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dig-cimmyt-10883-187082023-12-13T14:58:22Z Predicting minimum tillage adoption among smallholder farmers using microlevel and policy variables Marenya, P.P. Kassie, M. Debello, M.J. Rahut, D.B. Erenstein, O. AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Adoption Policy Input Subsidies AGRICULTURAL EXTENSION CONSERVATION AGRICULTURE POLICIES SUBSIDIES Minimum tillage combined with mulching (MTM) is critical to conservation agriculture, yet its use by smallholder farmers raises challenging questions regarding adoption, diffusion and scaling at farm level. In this paper, we used probit regression and post-estimation simulations to identify the key micro (farm specific) and macro (country specific) factors as predictors of MTM adoption in four countries spanning a north-south gradient in eastern and southern Africa (ESA): Ethiopia, Kenya, Tanzania and Malawi. We found that farmers’ access to markets and social capital empirically predicted MTM adoption. Policies that increased fertilizer subsidies and extension-staff-to-farmer ratios had similar effects, even if only modestly. Conceivably, subsidies specifically targeted at MTM could also be considered based on their potential environmental and social benefits. We conclude that adoption of MTM still faces the same micro- and macro-level hurdles common to all agricultural technologies. Long-term investments in agricultural extension and reductions in the costs of complementary inputs are critical for the diffusion of MTM. 2017-07-19T21:45:21Z 2017-07-19T21:45:21Z 2017 Article http://hdl.handle.net/10883/18708 10.1186/s40100-017-0081-1 English CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose. Open Access PDF ETHIOPIA KENYA TANZANIA MALAWI Heidelberg, Germany SpringerOpen Springer Verlag Società Italiana di Economia Agraria 5 Agricultural and Food Economics 12 |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Adoption Policy Input Subsidies AGRICULTURAL EXTENSION CONSERVATION AGRICULTURE POLICIES SUBSIDIES AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Adoption Policy Input Subsidies AGRICULTURAL EXTENSION CONSERVATION AGRICULTURE POLICIES SUBSIDIES |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Adoption Policy Input Subsidies AGRICULTURAL EXTENSION CONSERVATION AGRICULTURE POLICIES SUBSIDIES AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Adoption Policy Input Subsidies AGRICULTURAL EXTENSION CONSERVATION AGRICULTURE POLICIES SUBSIDIES Marenya, P.P. Kassie, M. Debello, M.J. Rahut, D.B. Erenstein, O. Predicting minimum tillage adoption among smallholder farmers using microlevel and policy variables |
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Minimum tillage combined with mulching (MTM) is critical to conservation agriculture, yet its use by smallholder farmers raises challenging questions regarding adoption, diffusion and scaling at farm level. In this paper, we used probit regression and post-estimation simulations to identify the key micro (farm specific) and macro (country specific) factors as predictors of MTM adoption in four countries spanning a north-south gradient in eastern and southern Africa (ESA): Ethiopia, Kenya, Tanzania and Malawi. We found that farmers’ access to markets and social capital empirically predicted MTM adoption. Policies that increased fertilizer subsidies and extension-staff-to-farmer ratios had similar effects, even if only modestly. Conceivably, subsidies specifically targeted at MTM could also be considered based on their potential environmental and social benefits. We conclude that adoption of MTM still faces the same micro- and macro-level hurdles common to all agricultural technologies. Long-term investments in agricultural extension and reductions in the costs of complementary inputs are critical for the diffusion of MTM. |
format |
Article |
topic_facet |
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY Adoption Policy Input Subsidies AGRICULTURAL EXTENSION CONSERVATION AGRICULTURE POLICIES SUBSIDIES |
author |
Marenya, P.P. Kassie, M. Debello, M.J. Rahut, D.B. Erenstein, O. |
author_facet |
Marenya, P.P. Kassie, M. Debello, M.J. Rahut, D.B. Erenstein, O. |
author_sort |
Marenya, P.P. |
title |
Predicting minimum tillage adoption among smallholder farmers using microlevel and policy variables |
title_short |
Predicting minimum tillage adoption among smallholder farmers using microlevel and policy variables |
title_full |
Predicting minimum tillage adoption among smallholder farmers using microlevel and policy variables |
title_fullStr |
Predicting minimum tillage adoption among smallholder farmers using microlevel and policy variables |
title_full_unstemmed |
Predicting minimum tillage adoption among smallholder farmers using microlevel and policy variables |
title_sort |
predicting minimum tillage adoption among smallholder farmers using microlevel and policy variables |
publisher |
SpringerOpen |
publishDate |
2017 |
url |
http://hdl.handle.net/10883/18708 |
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