Understanding Adoption and Impacts of Conservation Agriculture in Eastern and Southern Africa: A Review
Conservation Agriculture (CA) aims to concurrently promote agricultural productivity, local livelihoods, climate resilience and other environmental objectives. We review the emerging evidence base in Eastern and Southern Africa to address whether CA is climate smart and why adoption rates by smallho...
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Published in | Frontiers in agronomy Vol. 3 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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Frontiers Media S.A
22.06.2021
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Abstract | Conservation Agriculture (CA) aims to concurrently promote agricultural productivity, local livelihoods, climate resilience and other environmental objectives. We review the emerging evidence base in Eastern and Southern Africa to address whether CA is climate smart and why adoption rates by smallholders remain generally very low. We first develop an adoption framework that can be used to assess when and where the different components of CA are expected to be adopted under different conditioning factors and consider options to make CA climate smart. Our results suggest that CA can contribute positively to productivity and adaptation/resilience objectives, although the degree of success varies considerably by farm, household and regional characteristics. Overall, we find that capital-intensive (mechanized) CA is more likely to be adopted in areas of economic dynamism where capital is cheap relative to labor. Labor-intensive CA practices are more likely to be adopted in regions of economic stagnation where capital is expensive, and labor is abundant and cheap. A subnational focus is needed to identify economic conditions of different regions and agro-ecological zones and to test hypotheses derived from the framework in this paper and to propose the most appropriate CA packages for promotion. Our findings suggest that labor using variants of CA such as planting basins are more likely to be adopted than are capital using mechanized options in densely populated parts of Malawi, Ethiopia, Kenya, Tanzania, Zambia and Zimbabwe where labor is abundant, and presumably cheap, but capital is expensive. However, rising land scarcity (prices) and wages in the region present an opportunity for capital intensive, mechanized CA operations to be adopted if the cost of capital can be kept low and if there is a supportive environment for mechanization. We conclude that CA is climate smart and if adopted widely, it has the potential to help build resilience in smallholder farming systems. CA can be more climate smart, and its uptake can be enhanced by reframing, better targeting, adapting CA to location-specific economic and biophysical, and through greater and more effective public spending on agricultural research and development. |
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AbstractList | Conservation Agriculture (CA) aims to concurrently promote agricultural productivity, local livelihoods, climate resilience and other environmental objectives. We review the emerging evidence base in Eastern and Southern Africa to address whether CA is climate smart and why adoption rates by smallholders remain generally very low. We first develop an adoption framework that can be used to assess when and where the different components of CA are expected to be adopted under different conditioning factors and consider options to make CA climate smart. Our results suggest that CA can contribute positively to productivity and adaptation/resilience objectives, although the degree of success varies considerably by farm, household and regional characteristics. Overall, we find that capital-intensive (mechanized) CA is more likely to be adopted in areas of economic dynamism where capital is cheap relative to labor. Labor-intensive CA practices are more likely to be adopted in regions of economic stagnation where capital is expensive, and labor is abundant and cheap. A subnational focus is needed to identify economic conditions of different regions and agro-ecological zones and to test hypotheses derived from the framework in this paper and to propose the most appropriate CA packages for promotion. Our findings suggest that labor using variants of CA such as planting basins are more likely to be adopted than are capital using mechanized options in densely populated parts of Malawi, Ethiopia, Kenya, Tanzania, Zambia and Zimbabwe where labor is abundant, and presumably cheap, but capital is expensive. However, rising land scarcity (prices) and wages in the region present an opportunity for capital intensive, mechanized CA operations to be adopted if the cost of capital can be kept low and if there is a supportive environment for mechanization. We conclude that CA is climate smart and if adopted widely, it has the potential to help build resilience in smallholder farming systems. CA can be more climate smart, and its uptake can be enhanced by reframing, better targeting, adapting CA to location-specific economic and biophysical, and through greater and more effective public spending on agricultural research and development. |
Author | Angelsen, Arild Chapoto, Antony Jayne, Thomas S. Ngoma, Hambulo |
Author_xml | – sequence: 1 givenname: Hambulo surname: Ngoma fullname: Ngoma, Hambulo – sequence: 2 givenname: Arild surname: Angelsen fullname: Angelsen, Arild – sequence: 3 givenname: Thomas S. surname: Jayne fullname: Jayne, Thomas S. – sequence: 4 givenname: Antony surname: Chapoto fullname: Chapoto, Antony |
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Cites_doi | 10.1016/j.agee.2016.02.009 10.5539/sar.v1n2p27 10.1111/j.1467-9361.2012.00670.x 10.1111/agec.12251 10.1007/s12571-015-0476-3 10.1080/14735903.2018.1448047 10.1016/j.landusepol.2017.10.001 10.1080/07352680902776358 10.1080/03031853.2017.1312467 10.1016/j.foodpol.2012.02.013 10.1016/j.fcr.2011.12.014 10.1016/j.ecolecon.2017.05.033 10.1007/s12571-016-0636-0 10.5539/jsd.v7n4p95 10.3389/fpls.2015.00870 10.1596/978-1-4648-0489-2 10.1080/14735903.2018.1447227 10.1007/s10640-015-9962-5 10.1126/science.1152339 10.5367/oa.2016.0235 10.1111/1477-9552.12107 10.1080/15427520903558484 10.1016/j.agee.2013.08.008 10.1007/s10668-019-00320-9 10.1016/j.agee.2015.06.021 10.1038/s43016-020-0114-x 10.1016/j.jenvman.2018.09.108 10.1007/s12571-018-0777-4 10.1016/j.still.2012.09.002 10.1016/j.agee.2016.01.005 10.1007/978-94-007-0174-8_6 10.1016/j.fcr.2009.06.017 10.1017/sus.2018.4 10.1111/1477-9552.12011 10.1007/s13593-011-0040-2 10.5539/jsd.v7n4p124 10.1016/j.agsy.2016.04.002 10.1017/S1742170512000257 10.1017/S1355770X16000309 10.1017/S1742170513000550 10.1016/j.foodpol.2006.01.003 10.1111/1477-9552.12127 10.1016/j.agee.2013.08.017 10.1038/nclimate2292 10.1016/j.fcr.2013.10.002 10.1016/j.landusepol.2014.08.016 10.1007/s12571-017-0665-3 10.1080/03031853.2015.1084939 10.1111/agec.12269 10.1017/S0014479713000562 10.1016/j.gfs.2019.01.008 10.1016/j.gfs.2017.10.002 10.1016/j.ecolecon.2018.05.005 10.1016/j.still.2014.10.015 10.1596/978-1-4648-0673-5 10.1073/pnas.1320880111 10.1016/j.foodpol.2017.03.005 10.22004/ag.econ.252456 |
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