Conflicts of interests have been hypothesized when agricultural advisory services are connected to agri-input businesses. However, these have not been examined using large sets of advisory service and grower data. We provide quantitative insights into dependencies between service, crop production, sustainability and the level of agri-input business-linkage of extension workers. This study analyzed 34,000+ prescription forms (recommendations) issued to growers in China, as well as grower interview data.
The Global Value Chain (GVC) approach has emerged as a novel methodological device for analysing economic globalization and international trade. The suitability of the chain metaphor and strategies for moving up the ladder of GVCs (“upgrade”) is widely echoed in international development agencies and public agencies in the Global South. Most of the existing GVC studies focus on new forms of firm-to-firm relationships and the role of lead firms and chain governance in defining upgrading opportunities.
The rapid expansion of modern food retail encapsulated in the so-called ‘supermarket revolution’ is often portrayed as a pivotal driving force in the modernization of agri-food systems in the Global South. Based on fieldwork conducted on horticulture value chains in West Java and South Sulawesi, this paper explores this phenomenon and the concerted efforts that government and corporate actors undertake with regard to agri-food value chain interventions and market modernization in Indonesia.
Boundary-spanning search for knowledge is an effective way for enterprises to acquire heterogeneous knowledge, and is also an important pre-stage to realize effective knowledge reconstruction. Based on the boundary-spanning search for knowledge theory, this paper studies the relationship between boundary-spanning search for knowledge and the sustainable innovation ability of agricultural enterprises considering the influence of organizational knowledge reconstruction, from a Chinese perspective.
The impact of global warming on crop growth periods and yields has been evaluated by using crop models, which need to provide various kinds of input datasets and estimate numerous parameters before simulation. Direct studies on the changes of climatic factors on the observed crop growth and yield could provide a more simple and intuitive way for assessing the impact of climate change on crop production.