4.7 Article

Sustainable intensification pathways in Sub-Saharan Africa: Assessing eco-efficiency of smallholder perennial cash crop production

期刊

AGRICULTURAL SYSTEMS
卷 195, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.agsy.2021.103304

关键词

Coffee; Macadamia; Mango; Data envelopment analysis (DEA); Eco-efficiency; Cocoa; Order-m frontiers

资金

  1. Dutch Humanist Institute for Development Cooperation (Hivos)
  2. Swiss Agency for Development and Cooperation (SDC)
  3. Mercator Foundation Switzerland

向作者/读者索取更多资源

This study evaluates the eco-efficiency of smallholder perennial cash crop production in Ghana and Kenya, using the order -m frontier method. The analysis shows that eco-efficiency estimates among coffee farms have the widest spread, indicating potential for improvement in eco-efficiency. The results emphasize the importance of effective training modalities and policies to enhance eco-efficiency in agricultural contexts.
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 ecoefficiency 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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据