e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

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.

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Identifying the role of natural resources in knowledge-based strategies of development


Purpose - Several economies have tried to transform their productive structures based on traditional industries towards more productive activities in knowledge-intensive sectors. Nonetheless, some countries have achieved high economic standards even though their economic structures are based on natural resources with a high presence of low-tech industries; the aim of this paper is to analyze the factors that support development in those economies adopting a view of national systems of innovation. Two main contributions are derived: first, the identification of the diversity of effects that different types of natural resources can generate in the development path of both developed and natural resources-based countries; and second, demonstrating the importance of taking into account factors of intangible nature. Both of them support the adoption of knowledge-based strategies of development. Design / Methodology / Approach - We estimate an applied growth model using some traditional regressors and other factors more related to national innovation capabilities. For the empirical analysis of this study, statistical information has been obtained from international databases, such as WDI, UNCTAD, and CANA, for the period from 1995 to 2008. The sample of countries includes OECD and non-OECD countries. Using Cluster analysis, a group of high or upper middle income countries (according to World Bank criteria) was identified. These economies share some key features, such as a high level of participation of natural resources in GDP and growth rates higher than the average of the larger sample (we call this group as SELECTED countries). The applied growth model is defined by a set of more traditional regressors (capital, labor and natural resources) and other factors more related to innovation capabilities. The estimation is done for both static and dynamic panel data, using the Generalized Moments Method in the latter. Originality / Value - The empirical results show first that natural resources positively affect growth in the group of SELECTED countries, while there is not effect for OECD countries neither for the total sample, which includes 133 countries. Secondly, the existence of a significant association between natural resources and growth depends on the type of resources, being similar the impact of forestry and oil in both SELECTED and OECD countries, while there are differences in agriculture and mining since in the former group the negative impact of agriculture is eliminated and the effect of mining on their economic performance is positive. Finally, our findings confirm that a knowledge-based approach that combines physical and intangible factors can explain growth in traditional economies dominated by natural resources. Practical Implications - This paper shows how a combination of factors related to the national systems of innovation may support development in natural resource-based economies and territories. The results indicate that natural resources positively affect growth in economies with a strong specialization pattern, confirming that a knowledge-based approach provides a more complete explanation of the development path in economies dominated by natural resources. This fact opens opportunity windows for new research efforts that would analyze the role of natural resources in growth under a knowledge-based approach, with important implications for the definition of national strategies, as well as for regions and communities with abundant NR endowments.

  • ES
  • Univ_Complutense_Madrid_UCM (ES)
Data keywords
  • knowledge
  • knowledge based
Agriculture keywords
  • agriculture
Data topic
  • semantics
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
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    e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
    Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.