The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
About 70 per cent of the Namibian population depends on agricultural activities for their livelihood. Moreover, agriculture remains an important sector in Namibia owing to the fact that its national economy is widely dependent on agricultural production. Cattle producers in the Northern Communal Areas (NCAs) have an option to market their cattle via the formal or informal market. Efforts have been made to encourage producers to market their cattle through the formal market; however, these proved to be futile as the strategy yielded limited improvements. In this study, a number of variables have been analysed to determine factors that influence cattle marketing decisions. Factors influencing the marketing decision on whether to sell or not sell through the formal market have been analyzed using the Probit model. Factors influencing the amount of cattle sold through the formal market, assuming that a producer uses the formal market to sell cattle, were analysed using the Truncated model. Testing the Tobit model against the alternative of a two-part model was done using Cragg's model. Results from empirical research suggest that problems with transportation to MeatCo, marketing experience and the age of cattle producers are some of the factors that significantly influence the decision whether or not sell through the formal market. The accessibility of marketing-related information, accessibility of new information technology, the age of respondents and a lack of improved productivity are some of the factors that influence the proportional number of cattle sold through the formal market. The results suggest that substantially more information is obtained by modelling cattle marketing behaviour as a dual decision-making framework instead of a single decision-making framework.
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