The purpose of this study is to develop a robust, rigorous and replicable methodology that is flexible to data limitations and spatially prioritizes the vulnerability of agriculture and rural livelihoods to climate change. The methodology was applied in Vietnam, Uganda and Nicaragua, three contrasting developing countries that are particularly threatened by climate change. We conceptualize vulnerability to climate change following the widely adopted combination of sensitivity, exposure and adaptive capacity.
The purpose of this study is to explore the factors that drive producers to market their products through Community Support Agriculture (CSA) by using a county-level data set from the US.
Collaborative approaches are being promoted as inclusive forums for bringing state and non-state interests together to solve complex environmental problems. Networks have been recognized through previous research as important ways to involve stakeholders in such forums with members participating in knowledge creation and sharing as part of deliberative processes. Less well understood is the effectiveness of network creation and promotion by external actors, especially in relation to knowledge creation and sharing.
Addressing complex environmental problems requires the collaboration of stakeholders with divergent perspectives, a goal that is challenged by diverse factors. Challenges hindering multi-stakeholder collaboration (MSC) for sustainability have previously been addressed in the context of transnational partnerships. However, less is known regarding how place-based MSC operates, especially in the context of the Global South.
As social and ecological problems escalate, the role of collective capacity and knowledge is becoming more critical in reaching solutions. This capacity and knowledge are dispersed among diverse stakeholder organizations. Thus, organizations in the private, public and civil society sectors are experiencing pressure to address these complex challenges through collaborative action in the form of multi-stakeholder partnerships.
The rise of new powers in development has generated much debate on the extent to which South–South Cooperation (SSC) constitutes a new paradigm of development more relevant to African needs or a disguise for a new form of imperialism. This paper critically examines the rise of Chinese and Brazilian technical and economic cooperation in African agriculture with two cases drawn from Ghana and Mozambique.
Many indigenous vegetables are generally underutilized across different cultures, but they remain alternatives to exotic vegetables that often are expensive. This study investigated effects of participation in indigenous vegetable production on livelihood of farmers. Multistaged sampling was used to collect data from 222 vegetable farmers sampled from using a semi-structured questionnaire. Principal component analysis and endogenous switching regression (ESR) were employed for analysis
This paper collects and examines the experiences of the leaders of the U.S. North Central Region’s entire set of farm link services, including both active and closed programs. The research question explored is, what do farm link program leaders view as best practices in serving the needs of farm seekers and farm owners who do not have a family successor, and what do their recommendations suggest for investment and policy going forward?
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.
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.