Agriculture Innovation System (AIS) thinking and approaches are largely perceived as a sine-qua-non for the design and implementation of effective and sustainable agriculture development programmes. AIS has gained popularity in the agriculture innovation literature and has been embedded in policy documents of agriculture sector institutions in many countries. However, there is much less evidence of AIS thinking influencing the behaviours of research and extension institutions and staff ‘on the ground’.
This paper systematically reviews the evidence on what capacities the state requires to leverage agriculture for nutrition in fragile contexts, maintaining a focus on state in South Asia (especially India). It uses the framework of what the state ought to do (in terms of pathways), can do (in relation to parts of the enabling environment it is able to deliver) and is willing to do (addressing constraints in terms of political choices).
Exclusion of Indigenous and local communities' connections to the rest-of-nature is a typical problem in policy-decision making. This paper highlights the key attributes of these connections and suggests evaluation pathways to mainstream them into policy development. For this, we integrate and apply the ecosystem services (ES) and human capability concepts.
This paper considers how farmers engage with, utilise and share knowledge through a focus on the Catchment Sensitive Farming (CSF) initiative in the UK. In exploring the importance of social contexts and social relations to these practices, the paper brings together understandings of knowledge with those from the literature on good farming to consider how different knowledges gain credibility, salience and legitimacy in different contexts.
This paper analyzes smallholder farmers' willingness to pay (WTP) for the purchase of scale-appropriate farm mechanization in the hill ecologies of Nepal using the case of mini-tiller technology: a small, 5–7 horsepower two-wheel tractor primarily used for agricultural land preparation.
Most of the existing literature focus on the cultivation of crops and vegetables, and lack relevant research of the Chinese dairy industry. Meanwhile there lacks micro data on adoption of raw milk safety measures by Chinese smallholder dairy farmers in the macro context of changing dairy industry. To fill this gap, a field survey was conducted in Inner Mongolia, which has the largest raw milk production base, dairy enterprises and diversified production types.
Integrated Pest Management (IPM) is considered as an ecological conservation technology for crop pests' management; however, the technology adoption is intensely affected by surrounding socio-psychological environment, which is poorly studied, particularly in developing nations. The present study therefore aimed at addressing this gap through application of an extended form of Technology Acceptance Model (TAM) in order to examine the determinants of Iranian farmers' ecological conservation behavior regarding the use of IPM practices.
At present, agricultural policies in Kenya often ignore specific target groups because there is a lack of contextual information on farmers’ specific socio-economic conditions. The aim of this study was to fill this knowledge gap by answering the following research questions: 1. What determines the adaptive capacity of AIV farmers in Kenya? 2. How does access to capital assets differ by farming household characteristics and between the selected areas? 3. What are the AC levels of AIV farmers in the selected zones of Kenya? 4.
Collaborative co-development of decision tools by researchers and corporate and financial actors, that draws upon their distinct needs and knowledge sets, can improve the utility of these tools for real-world application (e.g.
In this paper, the authors apply an innovative multisectoral diagnostic to examine the entry points for potential interventions in food systems to improve the diets in a rural population in Malawi. The paper is structured as follows: The authors begin by describing the country context and the methods necessary to diagnose and contextualize dietary problems in target populations, prioritizing nutritious foods based on their relative and potential contribution to diets.