This study focused on analysing the determinants of farmer participation in direct marketing channels using the case of the cassava sector in the Oyo State of Nigeria. The Bivariate Tobit model was applied in the empirical analysis, based on a primary dataset generated from 400 rural cassava farmers from the Oyo State of Nigeria. The main objective of this study was to analyse the effects of the determinants of farmer decision to either participate in the processor or middlemen marketing channels in the Oyo State of Nigeria.
The aim of the paper is to evaluate the impact of value-webs as an innovation in agricultural production on welfare of cassava smallholders in Nigeria. The estimation procedure involved the alternative process of multivalued treatment models when treatment units have multiple values. The study thus extends previous impact studies which focused on estimating causal effects from binary treatment units. The treatment units were determined from the extent of utilization of cassava which informed the classification of households into value-web groups.
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 analyzes the integration of coffee producers into potential sustainability-oriented market segments. The analysis is presented through the lens of value chains by mapping the different coffee chains present in a predominantly coffee growing region, Kodagu, district, India as well as the governance structures that influence interactions and strategies for upgrading
The study analyzed the value chain of natural rubber in Nigeria. The study specifically mapped the natural rubber value chain and identify the functions performed by the respondents in the chain; identified the existing marketing channels and estimated the marketing margin at each value addition point. Data for the study were collected using a well-structured questionnaire administered to 425 respondents selected using a two–stage sampling process involving random and purposive sampling techniques
The aim of this study is try to assess the potential of a hybrid approach to unravel consumer behaviour in agri-food markets. Concretely, the hybridization of the attitudinal approach, by means of the classical-utility theory, is explored, which represents a novelty in the literature where those attempts are truly scarce for foodstuffs.
Among other functions, the INIA is involved in national and international cooperation in the field of agri-food research. The process of identifying and classifying gaps in our knowledge forms an essential part of this effort. This article describes that process, the tools and the materials used to achieve the final objective, namely, the identification of research priorities in the Spanish agri-food sector in order to deal with the societal challenges posed by society and the stakeholders involved.
This paper aims to analyze the innovative effort of the agri-food system (AFS) in the Valencian Autonomous Community (VC), Spain, estimating the intensity of innovation in each subsector of the AFS. The analysis distinguishes between the direct and indirect (or induced) innovation intensities incorporated by the acquisition of inputs from other subsectors produced in the VC or in the rest of Spain. The methodology employed is based on the inputoutput framework combined with data of technological innovation in enterprises.
This study explores the properties of innovation systems and their contribution to increased eco-efficiency in agriculture. Using aggregate data and econometric methods, the eco-efficiency of 79 countries was computed and a range of factors relating to research, extension, business and policy was examined. Despite data limitations, the analysis produced significant results.
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