TY - JOUR
T1 - Sustainable intensification pathways in Sub-Saharan Africa
T2 - Assessing eco-efficiency of smallholder perennial cash crop production
AU - Heidenreich, Anja
AU - Grovermann, Christian
AU - Kadzere, Irene
AU - Egyir, Irene S.
AU - Muriuki, Anne
AU - Bandanaa, Joseph
AU - Clottey, Joseph
AU - Ndungu, John
AU - Blockeel, Johan
AU - Muller, Adrian
AU - Stolze, Matthias
AU - Schader, Christian
N1 - Publisher Copyright:
© 2021 The Authors
PY - 2022/1
Y1 - 2022/1
N2 - CONTEXT: Eco-efficiency offers a promising approach for the sustainable intensification of production systems in Sub-Saharan Africa. Data Envelopment Analysis (DEA), which is widely used for eco-efficiency analyses, is however sensitive to outliers and the analysis of the influence of external factors in the second stage requires the separability assumption to hold. Order-m estimators are proposed to overcome those disadvantages, but have been rarely applied in eco-efficiency analysis. OBJECTIVE: This paper assesses the eco-efficiency of smallholder perennial cash crop production in Ghana and Kenya. It examines factors influencing eco-efficiency scores and in doing so, tests the application of order-m frontiers as a promising method for eco-efficiency analysis in the agricultural context. METHODS: The analysis is performed for four selected perennial crop cases, namely cocoa, coffee, macadamia, and mango, applying DEA as well as the order-m approach to a comprehensive empirical dataset. Seven relevant environmental pressures as well as determining factors around capacity development, farm and farmer features, and crop production environment are considered. RESULTS AND CONCLUSIONS: The distribution of eco-efficiency estimates among coffee farms showed the widest spread, which indicates the greatest potential to increase eco-efficiency. However, also the dispersion of scores within the other crop cases suggests room for improvements of eco-efficiency within the current production context. The subsequent analysis of determinants based on the order-m scores revealed that eco-efficiency scores were strongly influenced by variables, which measure capacity development, and resource endowments, such as labor and land, whereas the crop production environment had some influence, but results were unspecific. Generally, a positive effect is highly context-specific. The results underline the importance of designing effective training modalities and policies that allow knowledge to be put into practice, which involves the creation of marketing opportunities, the provision of targeted and regular advisory services, as well as region-wide measures to build and maintain soil fertility in a sustainable manner. SIGNIFICANCE: To our knowledge, this study presents the first attempt to apply inputoriented order-m frontiers to assess eco-efficiency in the agricultural context, comparing its eco-efficiency rankings to those estimated with the widely applied DEA approach. This can inform the discussion on robust eco-efficiency assessments.
AB - CONTEXT: Eco-efficiency offers a promising approach for the sustainable intensification of production systems in Sub-Saharan Africa. Data Envelopment Analysis (DEA), which is widely used for eco-efficiency analyses, is however sensitive to outliers and the analysis of the influence of external factors in the second stage requires the separability assumption to hold. Order-m estimators are proposed to overcome those disadvantages, but have been rarely applied in eco-efficiency analysis. OBJECTIVE: This paper assesses the eco-efficiency of smallholder perennial cash crop production in Ghana and Kenya. It examines factors influencing eco-efficiency scores and in doing so, tests the application of order-m frontiers as a promising method for eco-efficiency analysis in the agricultural context. METHODS: The analysis is performed for four selected perennial crop cases, namely cocoa, coffee, macadamia, and mango, applying DEA as well as the order-m approach to a comprehensive empirical dataset. Seven relevant environmental pressures as well as determining factors around capacity development, farm and farmer features, and crop production environment are considered. RESULTS AND CONCLUSIONS: The distribution of eco-efficiency estimates among coffee farms showed the widest spread, which indicates the greatest potential to increase eco-efficiency. However, also the dispersion of scores within the other crop cases suggests room for improvements of eco-efficiency within the current production context. The subsequent analysis of determinants based on the order-m scores revealed that eco-efficiency scores were strongly influenced by variables, which measure capacity development, and resource endowments, such as labor and land, whereas the crop production environment had some influence, but results were unspecific. Generally, a positive effect is highly context-specific. The results underline the importance of designing effective training modalities and policies that allow knowledge to be put into practice, which involves the creation of marketing opportunities, the provision of targeted and regular advisory services, as well as region-wide measures to build and maintain soil fertility in a sustainable manner. SIGNIFICANCE: To our knowledge, this study presents the first attempt to apply inputoriented order-m frontiers to assess eco-efficiency in the agricultural context, comparing its eco-efficiency rankings to those estimated with the widely applied DEA approach. This can inform the discussion on robust eco-efficiency assessments.
KW - Cocoa
KW - Coffee
KW - Data envelopment analysis (DEA)
KW - Eco-efficiency
KW - Macadamia
KW - Mango
KW - Order-m frontiers
UR - http://www.scopus.com/inward/record.url?scp=85118546293&partnerID=8YFLogxK
U2 - 10.1016/j.agsy.2021.103304
DO - 10.1016/j.agsy.2021.103304
M3 - Article
AN - SCOPUS:85118546293
SN - 0308-521X
VL - 195
JO - Agricultural Systems
JF - Agricultural Systems
M1 - 103304
ER -