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.

You can access and play with the graphs:

Discover all records
Home page


Analyzing the relationships between information technology, inputs substitution and national characteristics based on CES stochastic frontier production models


This research examines four interrelated issues at the country level: the value of information technology (IT), inputs substitution and complement, the complementarity phenomenon created by IT and national characteristics, and the productivity paradox, jointly and critically from a global perspective, using the so-called productive efficiency as the performance measure. To that end, we develop the three-factor constant elasticity of substitution (CES) stochastic production frontier model and apply it to a set of panel data from 15 countries over the period 1993-2003, along with the traditional two-factor CES models, within the one- and two-equation frameworks. In the two-equation setting, six national characteristics are selected as the contributing factors of the productive efficiency. The findings include: (i) the value of IT as measured by the productive efficiency is duly recognized: (ii) the productivity paradox is found to be absent from the production process in a majority of developed and developing countries considered, rejecting the existing argument that the paradox exists only in developing economies but does not exist in developed countries; however, the developed countries have used IT capital in their production systems more productively efficiently than the developing nations: (iii) traditional capital (non-IT capital), traditional labor, and IT capital are not pairwise substitutable, contrary to the notion that they are pairwise substitutable at the firm level; (iv) constant returns to scale, as commonly assumed, are not supported by the data; (v) different national characteristics affect a country's output (represented by gross domestic product or GDP) and its productive efficiency differently; and (vi) the complementarity phenomenon is observed in most of the countries (developed and developing) under study. (C) 2009 Published by Elsevier B.V.

  • TW
  • US
  • Natl_Sun_Yat_Sen_Univ_NSYSU (TW)
  • SUNY_Univ_Buffalo (US)
Data keywords
  • information technology
Agriculture keywords
    Data topic
    • information systems
    • modeling
    Document type

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

    Institutions 10 co-publis
      Powered by Lodex 8.20.3
      logo commission europeenne
      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.