This study aims to achieve a better understanding of the agricultural risk and risk management situation in Tanzania with a view to identifying key solutions to reduce current gross domestic product (GDP) growth volatility. For the purpose of this assessment, risk is defined as the probability that an uncertain event will occur that can potentially produce losses to participants along the supply chain.

In this paper the authors provide climate smart agriculture (CSA) planners and implementers at all levels with a generic framework for evaluating and prioritising potential interventions. This entails an iterative process of mapping out recommendation domains, assessing adoption potential and estimating impacts. Through examples, related to livestock production in sub-Saharan Africa, they demonstrate each of the steps and how they are interlinked. The framework is applicable in many different forms, scales and settings.

This report provides a synthesis of all findings and information generated through a “stocktaking” process that involved a desk study of Prolinnova documents and evaluation reports, a questionnaire to 40 staff members of international organizations in agricultural research and development (ARD), self-assessment by the Country Platforms (CPs) and backstopping visits to five CPs. In 2014, the Prolinnova network saw a need to re-strategise in a changing context, and started this process by reviewing the activities it had undertaken and assessing its own functioning.

The Agribusiness Innovation Initiative (AII) seeks to contribute to advancing a climate-smart competitive agribusiness sector which will create more jobs and raise incomes for Ethiopians. The AII will contribute toward this objective by identifying innovative growth-oriented entrepreneurs who are pursuing business opportunities based on value addition of agricultural commodities and providing them with a holistic service offering that accelerates their growth and increases their sustainability.

This paper critically discusses the modification and application of one particular participatory approach to agricultural systems analysis (Rapid Appraisal of Agricultural Innovation Systems [RAAIS]) to agricultural adaptation in Southeast Kazakhstan. We consider the overall effectiveness of the method as a research tool, practical issues in the implementation of workshops, definition of and selection of participant groups, as well as the questions of participation and empowerment within the workshops themselves.

Sustainable entrepreneurs are key actors in sustainability transitions; they develop needed innovations, create markets, and pressure incumbents. While socio-technical transitions literature is well developed, questions remain in terms of (1) the different roles that sustainable entrepreneurs can play in sustainable transitions, and (2) how best to empower these roles. To explore these challenges, we review literature and construct a framework combining the multilevel perspective and entrepreneurial ecosystem perspective.

Postharvest loss exacerbates the food insecurity and welfare loss of farming households in developing countries. This paper analyses the effect of improved storage, a climate-smart crop management technology, on household food and nutrition security, market participation and welfare using nationally representative data from Ethiopia. Endogenous switching regression models are employed to control for selection bias and unobserved heterogeneity.

Long embraced by corporations who are driven only by the desire for profit, industrial agriculture wastes precious resources and spews millions of tons of greenhouse gases into the atmosphere each year, exacerbating climate change and threatening the very earth and water on which we depend. However, this dominant system, from which Americans obtain most of their food, is being slowly supplanted by a new paradigm. The Emergent Agriculture is a collection of fourteen thematic essays on sustainability viewed through the lens of farming.

Encouraging the adoption and diffusion of low-carbon agricultural technology innovation is an important measure to cope with climate change, reduce environmental pollution, and achieve sustainable agricultural development. Based on evolutionary game theory, this paper establishes a game model among agricultural enterprises, government, and farmers and analyzes the dynamic evolutionary process and evolutionary stable strategies of the major stakeholders.