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Using different groups of technological progress as input for sector modeling


  • Vander Vennet, B.
  • Lauwers, Ludwig H.


This poster aims at describing different groups of technology use within a farm population and at delivering realistic prognoses of their future status as input for sector modeling. This because sector models are in many cases not based on reasonable technological progress estimations or too simplified as normative estimation or seen as mere extrapolation of past evolutions. The classification and utilization of technology groups is done for livestock activities, but illustrated hereafter for the finishing pigs activities. The research is worked out in three phases: • Organizational aspects of tuning information demand and supply; • Identification of technology groups; • Evolution of technology groups. Following techniques are used to identify the technology groups: Stochastic frontier analysis, cluster analysis and others. The results can be used in sector models to measure the impact of induced innovation on different technology groups.

Suggested Citation

  • Vander Vennet, B. & Lauwers, Ludwig H., 2008. "Using different groups of technological progress as input for sector modeling," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44168, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae08:44168

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    References listed on IDEAS

    1. Zimmermann, Roukayatou & Qaim, Matin, 2004. "Potential health benefits of Golden Rice: a Philippine case study," Food Policy, Elsevier, vol. 29(2), pages 147-168, April.
    2. Dawe, D. & Robertson, R. & Unnevehr, L., 2002. "Golden rice: what role could it play in alleviation of vitamin A deficiency?," Food Policy, Elsevier, vol. 27(5-6), pages 541-560.
    3. Meenakshi, J.V. & Johnson, Nancy L. & Manyong, Victor M. & DeGroote, Hugo & Javelosa, Josyline & Yanggen, David R. & Naher, Firdousi & Gonzalez, Carolina & García, James & Meng, Erika, 2010. "How Cost-Effective is Biofortification in Combating Micronutrient Malnutrition? An Ex ante Assessment," World Development, Elsevier, vol. 38(1), pages 64-75, January.
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    technology; sector modeling; induced innovation; Resource /Energy Economics and Policy;

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