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
The present study intended to propose insights on the contribution of innovation and competitiveness in meat production chains. A systematic review of the literature was carried out, considering manuscripts published in the Scopus, Web of Science and Science Direct databases. Based on the search and exclusion criteria, the analyzed portfolio consisted of 18 works related to the main animal production chains (i.e. pork, chicken, beef, and sheep)
This teaching case study is to stimulate readers to think strategically and come up with innovative solutions to the challenges that Songxiaocai faces. The materials used to write this case is drawn from the sources including the semi-structured interviews with managers within Songxiaocai Company, online information, and materials
The aim of this study is to explore how the governance of a global food value chain can facilitate the value chain’s market orientation. The study applies a multiple case study design. Four in-depth case studies were conducted on global food value chains from New Zealand to Western Europe dealing with the products apples, kiwis, venison and lamb. Interviews were conducted with actors from these four value chains in the Netherlands as well as in New Zealand. In each value chain actors with similar functions were interviewed in order to make the results comparable.
The study focuses on how levels of innovation, measured by complexity and investments requirements of the adopted technologies, relates to innovative behavior and complying with social responsibility practices, as two indicators of the farmer's behavior towards innovation. A typology of farmers with different technological
levels was constructed based on multivariate techniques, according to the adoption of seven technologies. The main objective of the study was to relate SR and innovative behavior to the technology clusters
This paper analyzes the status of Pakistan’s agriculture in the world and quantifies the potential of improving productivity and quality of value chain at its different nodes. A great potential of expansion in the value chain of large number of agricultural commodities produced in Pakistan are observed. Just bringing the average crop yield levels at par to the world average yield can generate over US$11 billion additional revenues to the producers. Despite lower yield, majority of commodities have lower prices compared to the world average prices at the farmgate.
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
This study analyzed the determinants of ICT usage in agricultural value chains among rural youth in Busia County, Kenya. A total of 213 young farmers were randomly selected and interviewed using semi-structured questionnaires. Descriptive statistics and Poisson regression model were applied in data analysis. Findings showed youth participation using ICTs was concentrated at the marketing level of the agricultural chain activities.
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.
The objectives of this manuscript are threefold; to provide a financial, and thus formal, definition of value added; measure value addition by firms across the four nodes/stages of the value chain; and third to test hypotheses as to the drivers of value creation that differ across the four nodes.First was defined value creation/