Sustainable agricultural intensification requires the use of multiple agricultural technologies in an integrated manner to enhance productivity while conserving the natural resource base. This study analyses the adoption and impacts of sustainable intensification practices (SIPs) using a dataset from Ghana. A multivariate probit (MVP) model was estimated to assess the adoption of multiple SIPs. Moreover, we used a multivalued semi-parametric treatment effect (MVTE) model to estimate the effects of adopting multiple SIPs on maize productivity.

The study was commissioned by the Advisory Service on Agricultural Research for Development of the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) and was carried out in cooperation with GIZ Western Kenya and the International Centre for Tropical Agriculture in Nairobi. Overall objective of the study was to design a strategy and make recommendations for locally adapted climate smart agriculture (CSA) tailored to smallholder needs in Western Kenya. This included the production of practical policy and technical guidance material.

The Biodiversity for Food and Nutrition (BFN) Project, a multi-country project, improved the evidence base by undertaking composition analysis of about 70 prioritized species, strategically targeted policy instruments with the greatest potential for diversifying public food procurement and improving diets while supporting family farming, developed regional capacities and created a network of researchers to better promote nutritious native species.

This chapter explores the interrelationships between economic change and environmental issues, by showing how aspiration, education, and migration are variously connected to a loss of agroecological knowledges for rural young people. It reviews a series of case studies from Vietnam, India, and China on the implications for rural youth of changed aspirations and ecological and economic stress. The economic and cultural pressures of globalization mean young people increasingly aspire for a life outside of agrarian- and natural resource-based livelihoods.

In developing regions with high levels of poverty and a dependence on climate sensitive agriculture, studies focusing on climate change adaptation, planning, and policy processes, have gained relative importance over the years. This study assesses the impact of farmer perceptions regarding climate change on the use of sustainable agricultural practices as an adaptation strategy in the Chinyanja Triangle, Southern Africa.

Cross bred cow adoption is an important and potent policy variable precipitating subsistence household entry into emerging bulk markets. This paper focuses on the design of policies that create and sustain milk-market expansion among a sample of households in the Ethiopian highlands. In this context it is desirable to measure a household's `proximity' to market in terms of the level of deficiency of an essential input. This problem is compounded by four factors.

In times of market liberalization and structural adjustment, the agricultural sectors of developing countries face profound changes. To seize new market opportunities, farmers need to innovate. In order to innovate, farmers need new technologies and information on how to access and manage them, as well as better support services for the delivery of inputs and knowledge, and better infrastructure for delivering produce to the market.

The international workshop on Agricultural Innovation Systems in Africa (AISA) was held in Nairobi, Kenya, on 29–31 May 2013. Its main objectives were to learn jointly about agricultural innovation processes and systems in Africa, identify policy implications and develop policy messages, and explore perspectives for collaborative action research on smallholder agricultural innovation.The workshop focused on sharing experiences in trying to understand and strengthen multi-stakeholder innovation processes and the role of smallholders in innovation, and identifying and discussing priorities an

The module aimed to identify and examine the main features and characteristics of complex agricultural problems, explore innovative solutions to address complex agricultural problems, and examine the circumstances under which innovative solutions emerge.

The article examines the effect of membership in farmer groups (MFG) on adoption lag of agricultural technologies and farm performance in Burundi, the Democratic Republic of Congo and Rwanda. We use duration and stochastic production frontier models on farm household data. We find that the longer the duration of MFG, the shorter the adoption lag and much more so if combined with extension service delivery. Farmer groups function as an important mechanism for improving farm productivity through reduced technical inefficiency in input use.