Resource saving and productivity enhancing impacts of crop management innovation packages in Ethiopia

Crop management innovations are often not discrete fixed stand‐alone options—and their adoption may imply various combinations and adaptations. This potentially confounds their impact assessment. This article assesses the resource saving and productivity enhancing impacts of a crop management package revolving around minimum tillage in maize‐based farming systems in northwest Ethiopia. An endogenous switching regression model was applied to plot‐ and household‐level survey data collected from 290 rural households operating 590 maize plots during the 2012 production year. Controlling for variations in plot and household characteristics, the average effect of minimum tillage package (minimum tillage package) on maize productivity is 0.44 t/ha. Compared to conventional practice (CP), adoption of the MTP decreased the average male and female labor use in maize production by 14.4 and 8.2 person‐days per ha, respectively. Similarly, MTP adoption decreased draft power use for land preparation by 13.2 pair of oxen‐days per ha. Compared to CP, in general, there is a considerable short‐run maize productivity gain and reduction in labor and draft power use under MTP.     

Adoption of Multiple Sustainable Agricultural Practices in Rural Ethiopia

The adoption and diffusion of sustainable agricultural practices (SAPs) has become an important issue in the development‐policy agenda for sub‐Saharan Africa, especially as a way to tackle land degradation, low agricultural productivity and poverty. However, the adoption rates of SAPs remain below expected levels. This study analyses the factors that facilitate or impede the probability and level of adoption of interrelated SAPs, using recent data from multiple plot‐level observations in rural Ethiopia. Multivariate and ordered probit models are applied to the modelling of adoption decisions by farm households facing multiple SAPs, which can be adopted in various combinations. The results show that there is a significant correlation between SAPs, suggesting that adoptions of SAPs are interrelated. The analysis further shows that both the probability and the extent of adoption of SAPs are influenced by many factors: a household’s trust in government support, credit constraints, spouse education, rainfall and plot‐level disturbances, household wealth, social capital and networks, labour availability, plot and market access. These results imply that policy‐makers and development practitioners should seek to strengthen local institutions and service providers, maintain or increase household asset bases and establish and strengthen social protection schemes in order to improve the adoption of SAPs.     

Production Risks and Food Security under Alternative Technology Choices in Malawi: Application of a Multinomial Endogenous Switching Regression

Employing nationally representative data, we investigate the impact of Sustainable Intensification Practices (SIPs) on farm households’ food security, downside risk and the cost of risk in Malawi. The analysis relies on a flexible moment‐based specification of a stochastic production function in a multinomial endogenous switching regression framework to correct for the selection bias stemming both from observed and unobserved heterogeneity. A quantile moment approach is used to estimate the cost of risk. After controlling for the effects of unobserved heterogeneity and several observable variables on maize production and downside risk functions, estimation results show that the adoption of SIPs increases food security and reduces downside risk exposure and the cost of risk. We estimate greater food security and larger reduction in downside risk from simultaneous adoption of both crop diversification (maize–legume intercropping and rotations) and minimum tillage, suggesting that there are complementary benefits from these practices. We find most of the cost of risk comes from exposure to downside risk. Our findings imply that in dealing with production risks development agents should encourage the adoption of agronomic and resource‐management practices along with other risk mitigation and food security improving strategies.     

Augmenting the use of the Rasch model under time constraints

This paper proposes a method for estimating national standardizations of partially speeded tests composed of items from a previously standardized item bank. The model combines two submodels, one for whether the examinee reaches the item, and the second for whether she is successful if she does reach it. The former model is comparable to that for survival analysis using item position in test as a quasi-time parameter (Hutchison 1988). The latter is a straightforward Rasch Model. Combining the two submodels allows for the possibility that ability and drop-out were correlated. The model proposed here is superior that of Bolt et al. (2002), which divides the population into a speeded and a non-speeded group, in that it allows for a range of speededness effects. The model is tested using three UK national standardizations on one outcome and comparing the actual and predicted distributions. It is suggested that the observed discrepancies may be due to differences in the samples drawn, and that in some circumstances the model may actually produce a better estimate than an actual standardization exercise.     

Does Intensive Tillage Enhance Productivity and Reduce Risk Exposure? Panel Data Evidence from Smallholders’ Agriculture in Ethiopia

We analyse the impact of intensity of tillage on wheat productivity and risk exposure using panel household‐plot level data from Ethiopia. In order to control for selection bias, we estimate a flexible moment‐based production function using an endogenous switching regression treatment effects model. We find that tillage has a complementary impact on productivity and risk exposure. As the intensity of tillage increases, productivity increases and farmers’ exposure to risk declines. Our results suggest that smallholder farmers use tillage as an ex‐ante risk management strategy. The main policy implication of this study is that the opportunity cost of switching to reduced tillage in wheat production seem rather high unless farmers are supported by appropriate incentive schemes.     

Identification of strategies to improve goat marketing in the lowlands of Ethiopia: a hedonic price analysis

This article aims at identifying factors that determine market prices of goats and analyse potential mechanisms by which smallholder goat producers could maximize their benefits. Data on 357 farm households and 2103 goat transactions were collected in three major goat markets in the lowlands of Ethiopia. Hedonic price models adjusted for heteroscedasticity were employed to analyse the observed price data. Model results showed the relative importance of different factors in determining goat prices. Animal attributes including age, sex, live weight, body condition and presence of horn as well as types of buyer and market outlet targeted and time of selling were found to be important. Particularly, goats marketed during festive periods where demand for meat increases (e.g. Ethiopian New Year) command higher prices. These results imply that interventions such as systematic selection schemes targeting traits demanded by the market, improved linkages to markets, easy access to market information systems and creating conducive environment including incentive mechanisms can enhance smallholder farmers’ and pastoralists’ ability to take advantage of seasonal and spatial price changes and become market responsive with effective marketing strategies. Such changes can be potent in improving the livelihoods of smallholder farmers and pastoralists.