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Complex systems, simple solutions?
Evaluating technologies for sustainable intensification in Northern Ghana
Mirja Michalscheck and Jeroen Groot (WUR)
Key messages
 Investigating inter- and intra-household differences provides
new insights on technology adoption
 High investment costs incapacitate low resource endowed (LRE)
households (HHs) to reach more profitable farm configurations
 Within HHs: Women were more positive than men; while there
was a greater match of model results with the male perspective
This poster is licensed for use under the Creative Commons Attribution 4.0 International Licence.
January 2017
We thank farmers and local partners in Africa RISING sites for their contributions to this research. We also acknowledge
the support of all donors which globally support the work of the CGIAR centers and their partners through their
contributions to the CGIAR system
Objectives and approach
Farming systems are diverse and not all technologies are equally
suitable for each farm(er). To better understand the individual
suitability we systematically visited farm HHs in Northern Ghana. We
used typologies, whole-farm modelling (n=9) and a weighted
scoring technique to quantify differences in views and benefits
among and within local smallholder farms.
Key results
Farm HHs were classified along a gradient of resource endowment
(LRE, MRE and HRE). The model assessment projects LRE HHs to
benefit most (%) from the technology packages, provided that
investment costs are procured. MRE HHs were most and HRE HHs
least positive about the AR packages. Farmers reported to adopt
techniques rather than technologies. Broadly adopted techniques
include row planting, techniques and timing for fertilizer
application, crop spacing and the use of green manures.
Significance and scaling potential
A better understanding of farm and farmer diversity allows efficient
targeting and a nuanced impact assessment of technologies
(technical) and techniques (managerial). The approach is useful for
development projects and businesses that want to test or promote
new technologies or techniques among smallholder farmers.
Fig.1: Map of case study sites
Table 1: Africa RISING (AR) technology packages (2015/2016)
Table 2: Weighted scoring technique for an
evaluation by individual HH members
Fig.2: Typology approaches
Statistical approach
What makes a package
expensive ?
Is it the extra labour for
row planting?
The improved seeds?
The additional sprays?
Fig.3: Differentiate: technologies vs. techniques
The communities
recommended to “ask the
male household head, his
wife and the oldest son or
daughter. They are like the
three stones under a fire.”
(social fundament)
Fig. 4: Inter and intra-household diversity
Fig. 6: Selected results, for the LRE and HRE farms in Duko, Northern Region.
Fig. 5: Results of scoring (LRE, Duko)
Mirja
Farming Systems
Ecology Group (WUR)

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Complex systems, simple solutions? Evaluating technologies for sustainable intensification in northern Ghana

  • 1. Complex systems, simple solutions? Evaluating technologies for sustainable intensification in Northern Ghana Mirja Michalscheck and Jeroen Groot (WUR) Key messages  Investigating inter- and intra-household differences provides new insights on technology adoption  High investment costs incapacitate low resource endowed (LRE) households (HHs) to reach more profitable farm configurations  Within HHs: Women were more positive than men; while there was a greater match of model results with the male perspective This poster is licensed for use under the Creative Commons Attribution 4.0 International Licence. January 2017 We thank farmers and local partners in Africa RISING sites for their contributions to this research. We also acknowledge the support of all donors which globally support the work of the CGIAR centers and their partners through their contributions to the CGIAR system Objectives and approach Farming systems are diverse and not all technologies are equally suitable for each farm(er). To better understand the individual suitability we systematically visited farm HHs in Northern Ghana. We used typologies, whole-farm modelling (n=9) and a weighted scoring technique to quantify differences in views and benefits among and within local smallholder farms. Key results Farm HHs were classified along a gradient of resource endowment (LRE, MRE and HRE). The model assessment projects LRE HHs to benefit most (%) from the technology packages, provided that investment costs are procured. MRE HHs were most and HRE HHs least positive about the AR packages. Farmers reported to adopt techniques rather than technologies. Broadly adopted techniques include row planting, techniques and timing for fertilizer application, crop spacing and the use of green manures. Significance and scaling potential A better understanding of farm and farmer diversity allows efficient targeting and a nuanced impact assessment of technologies (technical) and techniques (managerial). The approach is useful for development projects and businesses that want to test or promote new technologies or techniques among smallholder farmers. Fig.1: Map of case study sites Table 1: Africa RISING (AR) technology packages (2015/2016) Table 2: Weighted scoring technique for an evaluation by individual HH members Fig.2: Typology approaches Statistical approach What makes a package expensive ? Is it the extra labour for row planting? The improved seeds? The additional sprays? Fig.3: Differentiate: technologies vs. techniques The communities recommended to “ask the male household head, his wife and the oldest son or daughter. They are like the three stones under a fire.” (social fundament) Fig. 4: Inter and intra-household diversity Fig. 6: Selected results, for the LRE and HRE farms in Duko, Northern Region. Fig. 5: Results of scoring (LRE, Duko) Mirja Farming Systems Ecology Group (WUR)