Participation in Off-Farm Employment, Risk Preferences, and Weather Variability: The Case of Ethiopia

This article assesses the relative importance of risk preferences and rainfall availability on households’ decision to engage in off-farm employment. Devoting time for off-farm activities, while it helps households earn additional incomes, involves a number of uncertainties. Unique panel data from Ethiopia which includes experimentally generated risk preference measures combined with longitudinal rainfall data is used in the analysis. An off farm participation decision and activity choice showed that both variability and reduced availability of rainfall as well as neutral risk preferences increase the likelihood of off-farm participation. From policy perspective, the results imply that expanding off farm opportunities could act as safety nets in the face of weather uncertainty. In addition, policy initiatives geared towards encouraging income diversification through off farm employment need to address underlying factor that condition risk bearing ability of households.Off-farm employment, labor supply, rainfall variability/reduced availability, risk preferences, GLLAMM, Ethiopia, Labor and Human Capital, Q13, D81, C35, C93,

The impact of climate change and adaptation on food production in low-income countries: Evidence from the Nile Basin, Ethiopia

"This paper presents an empirical analysis of the impact of climate change on food production in a typical low-income developing country. Furthermore, it provides an estimation of the determinants of adaptation to climate change and the implications of these strategies on farm productivity. The analysis relies on primary data from 1,000 farms producing cereal crops in the Nile Basin of Ethiopia. Based on monthly collected meteorological station data, the thin plate spline method of spatial interpolation was used to interpolate the specific rainfall and temperature values of each household. The rainfall data were disaggregated at the seasonal level. We found that climate change and climate change adaptations have significant impact on farm productivity. Extension services (both formal and farmer to farmer), as well as access to credit and information on future climate changes, affect adaptation positively and significantly. Farm households with larger access to social capital are more likely to adopt yield-related adaptation strategies." from authors' abstractAdaptation, Climate change, farm level productivity, rainfall,

Energy, gender and development: what are the linkages ? where is the evidence ?

This report reviews the literature on the links between energy access, welfare, and gender in order to provide evidence on where gender considerations in the energy sector matter and how they might be addressed. Prepared as a background document for the 2012 World Development Report on Gender Equality and Development, and part of the Social Development Department's ongoing work on gender and infrastructure, the report describes and evaluates the evidence on the links between gender and energy focusing on: increased access to woodfuel through planting of trees and forest management; improved cooking technologies; and access to electricity and motive energy. The report's main finding is that energy interventions can have significant gender benefits, which can be realized via careful design and targeting of interventions based on a context-specific understanding of energy scarcity and household decision-making, in particular how women's preferences, opportunity cost of time, and welfare are reflected in household energy decisions. The report focuses on the academic peer-reviewed literature and, although it applies fairly inclusive screening criteria when selecting the evidence to consider, finds that the evidence on many of the energy-gender linkages is often limited. There is thus a clear need for studies to evaluate interventions and identify key design elements for gender-sensitive project design.

Impact of soil conservation on crop production in the Northern Ethiopian Highlands:

"Land degradation, in the form of soil erosion and nutrient depletion, threatens food security and the sustainability of agricultural production in many developing countries. Governments and development agencies have invested substantial resources in promoting soil conservation practices, in an effort to improve environmental conditions and reduce poverty. However, very limited rigorous empirical work has examined the economics of adopting soil conservation technology. This paper investigates the impact of stone bunds on crop production value per hectare in low and high rainfall areas of the Ethiopian highlands using cross-sectional data from more than 900 households having multiple plots per household. We use modified random effects models, stochastic dominance analysis (SDA) and matching methods to ensure robustness. The parametric regression and SDA estimates are based on matched observations obtained from nearest neighbor matching using propensity score estimates. This is important because conventional regression and SDA estimates are obtained without ensuring the existence of comparable conserved and non-conserved plots within the distribution of covariates. Here, we use matching methods, random effects and Mundlak's approach to control for selection and endogeneity biases that may arise due to correlation of unobserved heterogeneity and observed explanatory variables. The three methods used herein consistently show that plots with stone bunds are more productive than those without such technologies in semi-arid areas but not in higher rainfall areas, apparently because the moisture-conserving benefits of this technology are more beneficial in drier areas. This implies that the performance of stone bunds varies by agro-ecological type, suggesting a need for the design and implementation of appropriate site-specific technologies." from Authors' AbstractSoil conservation, Crop production, Agro-ecology, Matching method, Stochastic dominance, Modified random effects model, Land management,

Profitability of bioethanol production: the case of Ethiopia

This research investigates the profitability of bioethanol production in Africa, taking Ethiopia as a case in point, and suggests an oil price threshold beyond which biofuels may be profitable. Specifically, the study analyzes the viability of producing bioethanol from molasses in the context of Ethiopia, using data from a biofuels investment survey by EEPFE/EDRI in 2010. We draw on investment theory as our underlying conceptual framework and we employ unit cost analysis for our empirical analysis. Findings reveal that bioethanol production (from molasses) in Africa/Ethiopia can be quite viable and the biofuels industry can be viewed as a way out of poverty. This is a case study involving a few observations because of the small size of the universe of producers studied; hence the need for further analysis as the sector expands.Key words: profitability; bioethanol; oil price threshold; Ethiopia; AfricaJEL Codes: Q56, Q4

Participation in Off-Farm Employment, Risk Preferences, and Weather Variability: The Case of Ethiopia

This article assesses the relative importance of risk preferences and rainfall availability on households’ decision to engage in off-farm employment. Devoting time for off-farm activities, while it helps households earn additional incomes, involves a number of uncertainties. Unique panel data from Ethiopia which includes experimentally generated risk preference measures combined with longitudinal rainfall data is used in the analysis. An off farm participation decision and activity choice showed that both variability and reduced availability of rainfall as well as neutral risk preferences increase the likelihood of off-farm participation. From policy perspective, the results imply that expanding off farm opportunities could act as safety nets in the face of weather uncertainty. In addition, policy initiatives geared towards encouraging income diversification through off farm employment need to address underlying factor that condition risk bearing ability of households