Abstract

The gap between demand for and supply of food in Ethiopia can be reduced by improving farm productivity through the introduction of productivity-enhancing technologies. Conversely, in Ethiopia, the adoption rates of agricultural technologies remain below the expected levels. Hence, by using multivariate probit model, this study identifies factors that motivate the adoption of a combination of inorganic fertilizer, improved seed, manure and cropping system diversification in eastern Ethiopia using multiple plot-level observations. The analysis shows that the probabilities of adoption of agricultural technologies are influenced by household, socioeconomic, institutional and plot-level characteristics. Alongside this, the paper also shows that there is a significant correlation between the selected technologies, suggesting that adoptions of technologies are interrelated. Specifically, the result indicates that there is complementarity between inorganic fertilizer and improved seed; and substitutability between inorganic fertilizer and manure. The result also indicates there is complementarity between adoption of improved seed and manure; and adoption of improved seed and crop diversification.

Highlights

  • From development history of the world, one can recognize the role of sustained agricultural growth in the early stages of development (Hazell et al 2007; Abate et al 2016)

  • 4.1 List and definition of variables 4.1.1 Dependent variables The dependent variables used in our multivariate probit (MVP) model are the adoption of improved maize seed, manure, inorganic fertilize and crop diversification

  • This calls for the use of a combination of both organic and inorganic fertilizers since it has the potential to resolve this practical limitation of input availability (Gentile et al 2009)

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Summary

Introduction

From development history of the world, one can recognize the role of sustained agricultural growth in the early stages of development (Hazell et al 2007; Abate et al 2016). This has been experienced in Europe (Lains and Pinella 2010), North America (Timmer 2014) and Asia (Rashid et al 2007). It is undeniable fact that agricultural production has increased over the years in Africa. The agricultural sector of most of the countries located in Sub-Saharan Africa (SSA) has not been able to ensure food security both at national and household level (Bezu et al 2014). Soil fertility depletion and slow rates of innovation and adoption of productivity-enhancing technologies are considered as the main limiting factors for increasing farm productivity in SSA (Asfaw et al 2012; Kassie et al 2013; Pamuk et al 2014)

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