36 research outputs found
Characterization of farming systems in Africa RISING intervention sites in Malawi, Tanzania, Ghana and Mali
Exploring options for sustainable intensification in different farming system types of four Africa RISING countries
Sustainable intensification is proposed as a promising way to increase the productivity of
agricultural systems while reducing pressure on ecosystems, safeguarding equitable relations
among societal groups, and supporting the economic viability of households, enterprises, and
communities. In sub-Saharan Africa, the identification and dissemination of options for
sustainable intensification is hampered by the large diversity within and between farming
systems, and their complexity arising from the interactions among different farm components
and external factors. This study therefore uses an integrated farming systems approach to identify
and assess context-specific improvements that can then be implemented and tested on-farm to
foster experiential learning and facilitate adoption.
We conducted a farming systems analysis for nine Africa RISING intervention sites across four
countries, based on rapid and detailed farm characterizations, followed by model-supported
diagnosis, and exploration of options for sustainable intensification. Farm diversity was
described and analyzed by means of typologies and cross-site comparisons.
Identified constraints varied depending on site and farming system type, but commonly included
low input availability, climatic variability, poor soil fertility, sub-optimal livestock feeding,
biotic stresses, and poor access to training and technical advice, all impairing farm productivity,
returns to labor and capital inputs, income generation and food security. We investigated entry
points that tackle the above constraints by exploring alternative farm configurations,
technologies and practices for representative farms. By assessing potential impact of these
changes on indicators beyond productivity, trade-offs were identified and assessed, for instance
between profitability and household food self-sufficiency, and between nitrogen availability for
crop uptake and increased nutrient losses. Taking a systems perspective during the entry point
evaluation allowed differentiating potential effects on indicators at the field level versus the farm
and household level. The exploration of options for specific farming system types now enables
more targeted testing of promising innovations with farmers in the second project phase
Labor Force Participation of Rural Farm, Rural Nonfarm, and Urban Women: A Panel Update
In this paper, we analyze the paid labor force participation rates and continuity patterns of rural farm, rural nonfarm, and urban women. Specifically, we trace the labor force participation of a panel of approximately 800 women in Nebraska from 1977 to 1985. This paper has a twofold purpose. First, we examine changes in the work status of the cohort of Nebraska women during the farm crisis years. Second, we identify individual factors influencing labor force participation and continuity, contrasting all three residential groups of women.
A loglinear model isolates differences in participation rates for rural and urban women as well as for rural farm and rural nonfarm women during the 1977, 198 1, and 1985 panel years. A discriminant analysis then ascertains the nonlinear relationships in women\u27s work histories for the same time period. A comparison of continuous, discontinuous, and nonparticipatory labor force patterns illustrates that rural women, and farm women in particular, entered the wage labor force in disproportionate numbers during the farm crisis years. The farm crisis provides a framework for discussing accelerated participation rates and changes in the effects of individual human capital characteristics. Increases in participation rates are most evident among married farm women with discontinuous parttime work histories. Over the three data points, the effect of preschool children on labor work force participation was attenuated for farm women and higher education levels became less salient in predicting labor force participation rates for both rural and urban women