Are social protection programmes child-sensitive?

There is no doubt that child focus in the social protection agenda makes development and economic sense, yet child-sensitive social protection still remains elusive in some African country programmes. The case study of the Productive Safety Net Programme in Ethiopia discussed in this paper shows that the child-conditioned component in both the design and the implementation of this huge social protection programme is largely absent. Child-sensitive social programming, which discretely improves children's schooling and access to basic health care services and protects them from child labour, is recommended, with prioritisation of child labour saving assets as one of the key interventions.     

Can food-for-work encourage agricultural production?

Food-for-work (FFW) is the most widely used type of public works program in Ethiopia through which a high share of the food aid is distributed. This paper assesses the impacts of FFW in Tigray, a chronically food insecure region in Ethiopia, in terms of relieving liquidity constraints and thereby improving input use in agriculture. A Heckman selection model on the adoption and intensity of fertilizer use demonstrated that FFW positively influenced the decision to adopt fertilizer and there was no evidence of disincentive effect.     

Social Capital,Income Diversification and Climate Change Adaptation: Panel Data Evidence from Rural Ethiopia

The choice between specialisation and diversification of income is driven by multiple, interacting factors, such as economies of scale and scope, risk considerations, context, and household characteristics. Using panel data from Ethiopia, we investigate the role of social capital and the covariate risk of climate change and their interaction. We find that households with greater social capital tend to be more specialised, implying that diversification and informal insurance are substitutes in the mitigation of risk. We also find that this effect is significantly weaker in regions more prone to climate change, which is consistent with the average farmer being aware that informal insurance is not an effective protection against risks that affect the entire social network. We use instrumental variable random effects estimation to account for the plausible endogeneity of social capital and we also establish that our results do not depend on the poorest and most constrained individuals in our sample.     

Impacts of considering climate variability on investment decisions in Ethiopia

Extreme interannual variability of precipitation within Ethiopia is not uncommon, inducing droughts or floods and often creating serious repercussions on agricultural and nonagricultural commodities. A dynamic climate module is integrated into an economy‐wide model containing a detailed zonal level agricultural structure. This coupled climate‐economic model is used to evaluate the effects of climate variability on prospective irrigation and infrastructure investment strategies, and the ensuing country‐wide economy. The linkages between the dynamic climate module and the economic model are created by the introduction of a climate‐yield factor (CYF), defined at the crop level and varied across Ethiopian zones. Nine sets of variable climate (VC) data are processed by the coupled model, generating stochastic wet and dry shocks, producing an ensemble of potential economic prediction indicators. Analysis of gross domestic product and poverty rate reveal a significant overestimation of the country's future welfare under all investment strategies when climate variability is ignored. The coupled model ensemble is further utilized for risk assessment to guide Ethiopian policy and planning.     

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.     

Food Aid, Food Prices, and Producer Disincentives in Ethiopia

Although the short-term aims of food aid are well conceived, strong concerns have been voiced regarding the long-term impacts of such aid on incentives for agricultural producers in recipient countries. This article examines the statistical link between food aid shipments and food prices in Ethiopia over the period 1996–2006. Monthly data from three markets and three commodities are used to estimate a system of seemingly unrelated regression models for food prices. Results indicate that previous year food aid shipments reduce prices in all producer and consumer markets. These effects, however, appear to be limited to the set of internationally traded commodities that are domestically marketed. A recursive regression procedure is used to identify the food aid threshold at which a negative aid effect emerges. Food aid shipments that constitute less than 10% of domestic production appear to be benign, but shipments above this level show signs of being disruptive to local markets. We use a simple policy simulation to argue that production-sensitive targeting, e.g., conditioning food aid on local food production, would help to circumvent disincentive effects.     

On Crop Biodiversity, Risk Exposure, and Food Security in the Highlands of Ethiopia

This paper investigates the effects of crop genetic diversity on farm productivity and production risk in the highlands of Ethiopia. Using a moment-based approach, the analysis uses a stochastic production function capturing mean, variance, and skewness effects. Welfare implications of diversity are evaluated using a certainty equivalent, measured as expected income minus a risk premium (reflecting the cost of risk). We find that the effect of diversity on skewness dominates its effect on variance, meaning that diversity reduces the cost of risk. The analysis also shows that the beneficial effects of diversity become of greater value in degraded land.     

Poverty, Risk Aversion, and Path Dependence in Low-Income Countries: Experimental Evidence from Ethiopia

In most low-income countries, rural households depend on mixed rain-fed agriculture/livestock production, which is very risky. Due to numerous market failures, there are few ways to shift risks to third parties. The literature has focused on what determines the responses of households in such environments. Of special concern are path dependencies in which households experiencing failure are prone to further failure and potential poverty traps. This paper estimates levels and determinants of risk aversion in the highlands of Ethiopia. We find high risk aversion and evidence that constraints have important impacts on risk-averting behavior with perhaps significant implications for long-term poverty. The results also suggest the possibility of path dependence and offer insights into links between risk aversion and poverty traps.     

Access to credit and heterogeneous effects on agricultural technology adoption: Evidence from large rural surveys in Ethiopia

Modern agricultural technologies hold huge potential for increasing productivity and reducing poverty in developing countries. However, adoption levels of these technologies have remained disappointingly low in Africa. This paper analyzes the effect of access to credit on the likelihood of adoption and use intensity of chemical fertilizers using data from large rural surveys in Ethiopia. Using a heteroscedasticity-based identification strategy to address the endogenous nature of access to credit, we find that access to credit has significant positive effects on adoption and intensity of use of chemical fertilizers. However, important heterogeneities are observed. Credit obtained from formal sources is more important for the intensity of use than for the decision to adopt chemical fertilizers. Credit taken with the primary purpose of financing agricultural inputs is more likely to promote adoption of chemical fertilizers than credit taken per se. Furthermore, reported credit effects are larger when estimated against the sample of credit-constrained non-users as compared with the pool of the whole sample of credit non-users. The results remain robust to several sensitivity analyses. Our results yield useful implications for the design, promotion, and targeting of credit services to leverage their effect on adoption of agricultural technologies.     

Household Tree Planting in Tigrai,Northern Ethiopia: Tree Species,Purposes, and Tenure Security

Trees on farms have multiple roles in rural livelihoods, providing significant economic and ecological benefits. Trees on farms also constitute vital components in mixed crop-livestock-tree systems. In this paper, we analyze household tree planting and tenure security and explore the most important determinants that enhance the propensity to plant trees, using a cross-sectional household-level dataset from a sample of 200 households in the highlands of Tigrai, northern Ethiopia. Specifically, we employ a sample selection model that simultaneously takes into account the two decisions of tree growers (whether or not to plant tree and how many) to analyze the effect of tenure security on tree planting. We also use a multinomial logistic regression model to analyze the most important determinants contributing to a household’s decision of planting of particular tree species. We find that, among other things, tenure security enhances the propensity to plant trees as well as the amount of tree planting. Findings also suggest that households consider a diversity of attributes in making decisions to plant specific trees. These results can be used by policymakers to promote on-farm and homestead tree cultivation of private households in the study area by strengthening tenure security and considering households’ choices of specific tree species based on their attributes.