Past studies showing that barriers to farmers’ adaptation behaviors are focused on their socio-economic factors and resource availability. Meanwhile, psychological and social considerations are sparingly mentioned, especially for the related studies in developing countries. This study investigates the impact of psychological factors and social appraisal on farmers’ behavioral intention to adopt adaptation measures for the aforementioned reason, due to climate change and not to anthropogenic climate change.
Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training.
Applied Research and Innovation Systems in Agriculture (ARISA) was implemented by CSIRO in collaboration with Indonesian partners. This multi-year program seeks to strengthen collaboration between public research organisations and agribusinesses in order to incubate and deliver technology and business solutions appropriate to smallholder farmers. The geographic focus of the program was Eastern Indonesia.
We look at the trade-off between smallholder cocoa intensification and the ecosystem in Indonesia and investigate the determinants of environmental efficiency in cocoa production. In our analysis, we apply a distance output function that includes cocoa production and the abundance of native rainforest plants as outputs. Our data set, based on a household and environment survey conducted in 2015, allows us to analyze 208 cocoa producers with both measured and self-reported data. We find that the intensification of cocoa farms results in higher ecosystem degradation.
The agrarian system Analysis and Diagnosis is used for this study, the goal of which was to provide a corpus of basic knowledge and elements of reflection necessary for the understanding the Niayes farming systems dynamics in Senegal, West Africa. Such holistic work has never been done before for this small region that provides the majority of vegetables in the area, thanks to its microclimate and access to fresh water in an arid country.
Indicator-based tools are widely used for the assessment of farm sustainability, but analysts still face methodological and conceptual issues, including data availability, the complexity of the concept of sustainability and the heterogeneity of agricultural systems. This study contributes to this debate through the illustration of a procedure for farm sustainability assessment focussed on the case study of the South Milan Agricultural Park, Italy. The application is based on a set of environmental, social and economic indicators retrieved from the literature review.
Smallholder farmers in East Africa need information and knowledge on appropriate climate-smart agriculture (CSA) practices, technologies, and institutional innovations in order to effectively adapt to changing climatic conditions and cope with climate variability. This paper assesses farmer adoption of climate-smart agricultural practices and innovation after being exposed to Farms of the Future Approach (FotF). First; we explore and assess the various CSA technologies and practices; including institutional innovations farmers are adopting.
Following their first formation in Indonesia over 25 years ago, Farmer Field Schools (FFS) have served as a “proof of concept” of how transformative learning can help governments, donors and development stakeholders achieve development objectives. The FFS approach, which has now been used in more than 90 countries by more than 12 million small farmers (FAO, 2016), not only creates a space in which the practical needs of smallholders to solve production-related issues can be addressed but also fosters personal and community-level transformation through empowerment.
According to the authors of this paper, actual methods of scaling are rather empirical and based on the premise of ‘find out what works in one place and do more of the same, in another place’. These methods thus would not sufficiently take into account complex realities beyond the concepts of innovation transfer, dissemination, diffusion and adoption. As a consequence, scaling initiatives often do not produce the desired effect.
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.