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
Although the benefits of genetically modified (GM) crops have been well documented, how do farmers manage the risk of new technology in the early stages of technology adoption has received less attention. We compare the total factor productivity (TFP) of cotton to other major crops (wheat, rice, and corn) in China between 1990 and 2015, showing that the TFP growth of cotton production is significantly different from all other crops. In particular, the TFP of cotton production increased rapidly in the early 1990s then declined slightly around 2000 and rose again.
Past studies showing that barriers to farmers’ adaptation behaviors are focused on their socio-economic factors and resource availability. Meanwhile, psychological and social considerations are sparingly mentioned, especially for the related studies in developing countries. This study investigates the impact of psychological factors and social appraisal on farmers’ behavioral intention to adopt adaptation measures for the aforementioned reason, due to climate change and not to anthropogenic climate change.
Agricultural production is a crucial and fundamental aspect of a stable society in China that depends heavily on the climate situation. With the desire to achieve future sustainable development, China’s government is taking actions to adapt to climate change and to ensure food self-sufficiency.
Present-day society asks more from agriculture than just the production of food. Agriculture is now required to be concerned with the quality of food, ecosystem services, inclusion of marginalized populations, revitalization of rural territories, energy production, etc. This opening up of the future of agriculture encourages rural actors to experiment with new farming systems, using imagination, creativity and determination to replace dominant models. At the same time, low-cost mass-production systems continue on their way, with promises of a future based on green technologies.
This article describes the creation of an innovation platform in Masalala, north-western Tanzania, in order to improve smallholder paddy production and reduce inefficiencies in access to inputs and credit. Other value chains actors, including millers and buyers, have also benefitted from an improved supply of better quality paddy
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)
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/
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.