18pgs, This analysis investigates the potential mechanisms and the practical significance of agricultural value chain development in a geographically challenging rural area of a developing country. Using data from a carefully designed primary survey administered in a hill and mountainous region in Western Nepal, we show that linking small-scale producers to regional and local traders can help increase income. Analysis of impact pathways shows that the positive impact on household income emerges through higher agricultural income, driven by higher sale volume at lower prices. Focusing on high value commodities in rural areas, where arable land is not always fully exploited or utilized, appears to lead to acreage expansion and some crop switching, contributing to higher supply albeit at lower prices. The positive impact on household income is practically significant; it helps improve household food security and asset accumulation. These findings are robust to alternative specifications. Targeted value chain interventions that strengthen and stabilize small-scale producers’ access to markets can contribute to rural poverty reduction via increase in agricultural income.
16 pages, There is growing evidence that religiosity affects important socio-economic outcomes. A potential channel through which religiosity affects these outcomes is by shaping individuals’ risk preferences. We combine a lab-in-the-field experiment, survey, and focus-group discussions to investigate the effect of religiosity on risk-taking among rural people in Ethiopia. We find evidence that religious farmers are more risk-taking. The effect is likely driven by the trust/belief in God as the omniscient and just power in determining outcomes under uncertainty. This is further corroborated by results from follow-up focus-group discussions.
13pgs, This article examines the effects of neighborhood on the farmer's technical efficiency (TE) level, adopting a stochastic frontier and spatial Durbin regression models. Our study exploits a three-wave household-level panel data from the Ethiopian Rural Socioeconomic Survey (ERSS) collected between 2011 and 2015. We find that farmers have an average TE score of 53%, implying a substantial potential for improvement in the production level. We further find that there is a positive and statistically significant spatial interdependence in TE levels between farms in neighboring communities. Input use, education, and other demographic characteristics are found to have significant positive direct and indirect effects. The findings suggest that policies and programs targeting productivity improvements in agriculture need to consider spatial spillover effects.
13 pages, In Ghana, groundwater, accessed through wells and boreholes, is generally unregulated and may be contaminated with pollutants including excess nitrates from agricultural chemical fertilizers. Yet, studies estimating how clean groundwater is valued are not available in Ghana. In addition, some research suggests that the pre-experiment information provided to survey respondents affects their valuation of an identical outcome. This paper estimates smallholder farmers’ preferences for groundwater protection using pre-experiment information focused on one of two outcomes: environment or health. The double-bounded contingent valuation (DBCV) approach is used to estimate willingness to pay (WTP) to protect groundwater quality. The estimation accounts for shift and anchoring effects, which are common issues with the DBCV method. The mean WTP from the health (environmental) information subsample is about US$19 (US$17) per acre, and the values are significantly different between the information conditions. The findings shed light on the importance of using precise information in eliciting WTP in a developing country setting.
20 pages, To achieve social sustainability, there is a need to incorporate social metrics of farmers’ well- being into agricultural monitoring systems. We contribute to the operationalisation of the measurement of farmers’ well- being by determining how farm- level factors influence farmers’ satisfaction with their work and quality of life. Using a data sample of 1099 farms that are part of the Farm Accountancy Data Network (FADN) in nine European countries, we tested a set of hypotheses related to work satisfaction and life quality perception based on a structural equation model. Satisfaction with on- farm work has a significant and substantial influence on satisfaction with quality of life. Farm- level aspects, such as working time, age of assets, financial situation of the farm and community engagement, significantly influenced farmers’ satisfaction with farming, but their joint effect explained less than one- fifth of the satisfaction. The results suggest that agricultural information systems intended to monitor and compare sustainability progress on farms would benefit from the integration of a metric measuring social concerns from the farmers’ point of view
