This paper reports the activities carried out in the first Regional Agroforestry Innovation Networks (RAINs) meeting organized in Italy where Agroforestry Innovation Network project (AFINET) project is focused on the multipurpose olive tree systems in the territory around Orvieto Municipality, Umbria Region, Central Italy.
This study examines the price transmission mechanisms in the Bloemfontein beef market using the producer price and retail prices at four retail outlets collected over a period of 3 years. It further estimates the causality links between the producer and retail prices. The traditional (Engle-Granger) and standardized (Enders & Siklos) Augmented Dickey- Fuller procedures were used to test for co-integration and asymmetry in price transmission
This paper examines innovations for bridging gender gaps in agricultural value chains in Africa. It focuses on innovative platforms for addressing gender gaps, considering women contribute up to 40 percent of labor in agricultural production. Women remain at the bottom of value chains and face gender-specific constraints attributable to gender and social norms, discriminatory beliefs and practices, gender-blind designs and delivery of technologies and innovations which impede women s participation in value chains.
The aim of the present article is to propose a new approach to improve interactions between stakeholders, using traceability and contractualization. Faced with a crisis generated by volatility, collective action, incorporating all stakeholders, including consumers, is needed: but what exactly must be done? The article first describes the SDSC approach which combines three main concepts: Extended Demand, Extended Supply and Demand-Supply Chain (DSC), and then goes on to detail how a collaborativemodeling tool needs to be built up.
Changes in the structure of value chains have opened up lucrative opportunities for smallholder producers to increase income as a means to improve their livelihoods. Yet, recent literature argues that smallholder producers are better off in their current markets than when integrated in high value chains on disadvantageous terms. This article studies the terms of integration of smallholder producers in high value chains from a marketing systems perspective
This paper aims at analysing the competitive performance of a very tradeable global commodity and the main export crop of Cameroon from 1961 to 2013 through the application of a step-wise analytical framework accommodating aspects of agri-value chain analysis. This conventional analysis was expanded to include value chain comparisons between various valueadding processes in the Cameroonian cocoa value chain as well as consensus vs.
This paper presents a qualitative case study of a US based beef co-operative integrated to a VBSC. Was used an analytical framework of viability, sustainability and resilience to analyse impacts at farm-level. Our analysis highlights a number of positive effects on farm-level viability, sustainability and resilience including improvements to market orientation and price stability, among others which provide crucial insights for beef PO development in Ireland.
Based on three rounds of panel data (2007, 2009, and 2012) on indigenous households, this study assessed the impacts of Integrated Aquaculture-agriculture value chain participation on the welfare of marginalized poor indigenous rural households in Bangladesh. We also examined the distributional impacts of IAA value chain
The objective of this paper is to show how Value Chain Analysis for Development (VCA4D) applied sustainable development concept for value chain analysis to establish a manageable set of criteria allowing to provide quantitative information, which is desperately lacking in many situations in developing economies, usable by decision makers and in line with policymakers concerns and strategies (the “international development agenda”).
This paper examined cowpea value chain mapping and marketing efficiency among cowpea farmers in Ga-Molepo of Capricorn district and Bela-Bela of Waterberg district. Primary data was collected through face to face interviews from 80 smallholder cowpea farmers using structured questionnaire. Value chain map, descriptive statistics and binary logistic regression model were used to analyse the data