The present rise of pork demand in Benin calls for an assessment of the swine value chain (VC) to envision its development. A participatory approach is here proposed to join this assessment to a stimulation of innovation among stakeholders.
While a number of works question the alterity of alternative food chains, little has been said about the social processes under which new economic models are, or may be, developed within the broader movement around ‘short food supply chains’ (SFCs) in Europe. Considering SFCs as economic organisations, we propose an analytical framework based on New Economic Sociology and Convention Theory, enriched by Social and Solidarity Economics, to capture the social construction of new economic models in such chains.
The aim of this paper is to propose an innovative operational framework that couples life cycle assessment (LCA) and a participatory approach to overcome these issues. The first step was to conduct a progressive participatory diagnosis of the socio-ecological structure of the rural territory and to characterise the main cropping systems. The results of the diagnosis and other data were progressively triangulated, validated and consolidated with the stakeholders at the territorial level. The paper discusses the quality and validity of data obtained using a participatory approach.
This study was part of a larger project that applied an integrated framework for combined nutritional, food safety and value chain analysis to assess the dairy value chain in two regions of Tanzania, namely Morogoro and Tanga. Here, we report on the use of participatory rural appraisals (PRAs) with producers and consumers to investigate seasonality, constraints and opportunities in cow milk production and consumption in ten villages in Tanzania and describe attitudes and practices surrounding milk quality and safety.
This article summarizes current research on public entrepreneurship and presents a detailed case study of a successful entrepreneurial change in a public sector organization. A five-step change process used to enhance entrepreneurial behaviors was implemented in a public sector organization and the qualitative and quantitative results demonstrated substantial performance improvements over 4 years (i.e., quantitative performance in some areas was more than 10 times greater).
Like other developing countries, Pakistan is under severe economic pressure and striving to boost entrepreneurial orientation for achieving growth through minimal depletion of natural resources. In order to facilitate widespread and successful adoption of green entrepreneurial farming, it is crucial to address barriers inhibiting the uptake of green entrepreneurial activities in farming for the sustainability of natural resources as well as food provision. To this end, the present study aimed to investigate barriers in the adoption of green entrepreneurial farming in Pakistan.
This methodological framework is based on Life Cycle Assessment (LCA) and multi-criteria assessment methods. It integrates CSA-related issues through the definition of Principles, Criteria and Indicators, and involves farmers in the assessment of the effects of CSA practices. To reflect the complexity of farming systems, the method proposes a dual level of analysis: the farm and the main cash crop/livestock production system. After creating a typology of the farming systems, the initial situation is compared to the situation after the introduction of a CSA practice.
In this paper, the authors describe the adaptation and validation of a project-level WEAI (or pro-WEAI) that agricultural development projects can use to identify key areas of women’s (and men’s) disempowerment, design appropriate strategies to address identified deficiencies, and monitor project outcomes related to women’s empowerment. The 12 pro-WEAI indicators are mapped to three domains: intrinsic agency (power within), instrumental agency (power to), and collective agency (power with). A gender parity index compares the empowerment scores of men and women in the same household.
We assess a new method for assessing AC at a sectoral level and operationalize AC measurement based on an SLA to assess the ability of the European agricultural sector to adapt to extreme droughts.
In this paper, introduction presents the problem statement. The second chapter gives a brief description of the Smart Farming system. The third chapter provides an overview of ontologies. The fourth chapter describes implementation of the knowledge base in the Smart Farming system. The fifth chapter presents the main functions of the ontology editor for working with the knowledge base. Conclusions and prospects of further development of knowledge base in crop production are also given