This review paper responds to the following questions: 1) can existing adaptation options confer useful responses to various degrees of climate change; 2) have certified coffee programs already implemented adaption options; 3) what (additional) implementation steps are required to adapt coffee production to climate change; and 4) which social-institutional changes are additionally required to enable smallholders to adapt to climate change at farm and landscape scales.
Situate within new institutionalism literature, this paper builds a complex system model of institutional analysis for adaptive governance. This model combines Young’s institutional environmental analysis method, elements of subsequent environmental governance projects models, and ideas of multiple institutional levels and drivers. By applying the model, policy instruments are identified that build agricultural producer livelihoods improving their adaptive capacity to respond to climate change and drought.
This study aims to analyse three case studies of smallholder dairy farming in Pakistan. The study involved two stages. The first stage involved a scoping study which used a purposive sampling method to identify and sample fresh, unpackaged milk and informal and formal chains in both districts. Twenty-seven producers, eleven small, eight medium and five large Dhodhis, twenty-two retailers, two formal processors and eleven consumers were interviewed personally by the first author, using four different questionnaires.
Innovation is considered as one of the key drivers for a competitive and sustainable agriculture and the European Commission highlights the importance of tailoring innovation support to farmers’ needs, especially in European Rural Development Policy (reg EU 1305/2013). The scientific literature offers a wide panorama of tools and methods for the analysis of innovation in agriculture but the lack of data on the state of innovation in the farms hampers such studies. A possibility to partially overcome this limit is the use of data collected by the Farm Accountancy Data Network (FADN).
Knowledge on indigenous chicken production exists but its potential is not yet fully exploited. Although the actors could be known, it is not clear where value is lost or gained, neither is it clear which of the actor gains or losses most, nor the challenges they face. Moreover, if some of the actors are exploited and therefore, realize glaring losses, the entire value chain will be affected and this will affect not only the actors who earn a direct living from the chain, but the entire nation for loss of gainful employment and revenue.
This paper analyzes the operational constraints experienced by the different actors in the rice value chain in Myanmar. Both primary and secondary data on the rice value chain in Ayeyarwaddy Region, the main rice-growing area in Myanmar, were collected. The actors in the region suffer from constraints in material input, production, financial, distributional, and institutional. This study examines the actors’ profitability, together with their sociodemographic and operational characteristics, to provide proper policy guidelines to address constraints
The goal of this work is to review methodologies to analyze value chains, particularly within the agribusiness sector. The first part of the analysis delves into the value chain concept, with the aim of discovering how the concept has changed from an historical perspective, and what would be an acceptable narrow definition.
Research for development (R4D) projects increasingly engage in multi-stakeholder innovation platforms (IPs) asan innovation methodology, but there is limited knowledge of how the IP methodology spreads from one contextto another. That is, how experimentation with an IP approach in one context leads to it being succesfully re-plicated in other contexts.
Women are the backbone of the development of rural and national economies. There is no tool of development that is more effective than the empowerment of the rural women. Nigerian rural women lack sufficient economic resources that will enable them to articulate their needs and interests and organize themselves with a view to developing the nation.
This data article contains annotation data characterizing Multi Criteria Assessment (MCA) Methods proposed in the agri-food sector by researchers from INRA, Europe's largest agricultural research institute (INRA, https://institut.inra.fr/en). MCA can be used to assess and compare agricultural and food systems, and support multi-actor decision making and design of innovative systems for crop production, animal production and processing of agricultural products.