Most of the existing literature focus on the cultivation of crops and vegetables, and lack relevant research of the Chinese dairy industry. Meanwhile there lacks micro data on adoption of raw milk safety measures by Chinese smallholder dairy farmers in the macro context of changing dairy industry. To fill this gap, a field survey was conducted in Inner Mongolia, which has the largest raw milk production base, dairy enterprises and diversified production types.
This paper surveys members of a beef cattle value chain in Vietnam's Central Highlands to examine the translation of value chain actor's resources into positional advantage and financial performance in an emerging country. Using structural equation modeling techniques, the paper estimates a path model to explore how resources are linked to positional advantage and ultimately financial performance. This study attempts to contribute to the literature in two ways.
The Malaysian story involves a farsighted leadership that has mobilized the considerable assets of a resource-rich country to translate a long-term vision of nation building into action and transformational results. This report analyzes what Malaysia did to achieve transformative results in agriculture.
While there is a lot of literature from a natural or technical sciences perspective on different forms of digitalization in agriculture (big data, internet of things, augmented reality, robotics, sensors, 3D printing, system integration, ubiquitous connectivity, artificial intelligence, digital twins, and blockchain among others), social science researchers have recently started investigating different aspects of digital agriculture in relation to farm production systems, value chains and food systems. This has led to a burgeoning but scattered social science body of literature.
The economic globalisation has opened new pathways for commerce and triggered a logistical revolution, which in turn has produced enormous technological innovations. In this context, the role of startups is becoming increasingly crucial since they are positioning themselves as innovation enablers among large and small companies. Between these innovations, IoT, Big Data Analytics and Blockchain can be used in various domains, among which the logistics of the whole wine supply chain.
This study explores the role of gender-based decision-making in the adoption of improved maize varieties. The primary data were collected in 2018 from 560 farm households in Dawuro Zone, Ethiopia, and were comparatively analyzed across gender categories of households: male decision-making, female decision-making and joint decision-making, using a double-hurdle model. The results show that the intensity of improved maize varieties adopted on plots managed by male, female, and joint decision-making households are significantly different.
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.
Global population growth, an increasing demand for animal products and scarcity of conventional feed ingredients drive the search for alternative protein sources for animal feed. Extensive research indicates that insects provide good opportunities as a sustainable, high quality and low-cost component of animal feed. Here, we discuss how insect farming can promote inclusive business for smallholder farmers in the agribusiness value chain.
The interactions between bottom-up initiatives and top-down structures in the implementation of regional development policies and projects are complex in theoretical and practical terms. Using concepts such as transformative social innovation, adaptive governance, and bridging institutions, we developed an analytical framework to enhance understanding of the processes by which local top-down and bottom-up forces enhance sustainable rural development by co-developing bottom-linked governance.
La innovación es considerada como un factor de supervivencia organizacional y necesita de elementos de gestión que contribuyan a su sustento y vigencia en el tiempo, manteniendo así su objetivo primordial que es la usabilidad y la generación de ganancias.