This report seeks to support the larger jobs study by examining how investment in South Sudan’s food sector can not only address food security needs, it can generate income and lay the foundation for livelihood and job creation in the country. It argues that applying a value chain lens to investments in the sector can contribute to creating direct, indirect, and induced labor in the food system. The goal is to move the country from a dependency on humanitarian aid to building recovery and resilience in the short term in a way that can produce stable jobs over the medium to long term.
This report identifies key obstacles to job creation within the cashew sector and provides insight on how to remove obstacles. It begins with a general description of cashew culture, its characteristics and cultivation practices, and emphasizes the multipurpose uses of cashew, including a range of by-products that could support generation of new and better jobs. The report also presents an overview of the world cashew industry.
Small trading activities are a prevalent form of self-employment in developing countries, but their integration into supply value chains is not efficient, especially when it comes to perishable produce. This study tests a novel approach to improve their efficiency by reducing the time and cost of sourcing produce by aggregating purchases through the use of an app and centralized distribution system. Fruit and vegetable vendors in Bogotá currently travel most days to a central market to purchase produce, incurring substantial time and monetary costs.
Mongolia has a comparative advantage in agribusiness, especially downstream industries using livestock products. Yet its share in worldwide exports of agribusiness commodities is insignificant. Enhancing the efficiency of the central economic corridor (CEC) is vital to Mongolia’s effort to improve trade competitiveness and diversify exports. The role of Mongolia’s economic corridors is best understood when seen as an integral part of the country’s supply chain.
The Women's Empowerment in Agriculture Index (WEAI) is a direct, multi-dimensional measure of women's access to resources and decision-making in various domains of agriculture. However, several challenges characterize its use: adaptation of questionnaires to local agricultural contexts, modifications to index construction once underlying activities and adequacy thresholds are modified, and sensitivity analysis. In this paper, the authors address such challenges based on our experience of adapting and using the WEAI across 3600 households in India.
The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers.
This review paper is based on secondary information. It presents the external (policy, technical assistance, public institutions and the private sector) and internal (institutional structures, objectives/programmes) factors that impact on agriculture development in general in developing countries with special focus on Pakistan. The contents carry the literatures that deal with such factors, starting with discussion on the comprehensive analysis of the role of extension services accompanied by its pros and cons, as well as the meager agricultural services in developing countries.
After years of neglect, there is a renewed interest in agricultural mechanization in Africa. Since government initiatives to promote mechanization are confronted with major governance challenges, private-sector initiatives may offer a promising alternative. However, given limited scientific studies on such private-sector options such approaches are often viewed skeptically. One concern is that multi-national agribusiness companies take advantage of smallholder farmers. Another concern is that mechanization causes rural unemployment.
This study explores the role of gender-based decision-making in the adoption of improved maize varieties. The primary data were collected in 2018 from 560 farm households in Dawuro Zone, Ethiopia, and were comparatively analyzed across gender categories of households: male decision-making, female decision-making and joint decision-making, using a double-hurdle model. The results show that the intensity of improved maize varieties adopted on plots managed by male, female, and joint decision-making households are significantly different.
This study is designed to assess the factors that affect smallholder rice farmer’s participation in market. In addition it also examines the effect of commercialization on the welfare of smallholder farmers. The method of Heckman two-stage model is used to obtain the desired objectives. Random sampling technique is used to collect data from 249 smallholder farmers.