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Model Predictive Control Strategy to Forecast Employability in Earth Sciences

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  • Estelle Courtial

    (PRISME - Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique - UO - Université d'Orléans - INSA CVL - Institut National des Sciences Appliquées - Centre Val de Loire - INSA - Institut National des Sciences Appliquées)

  • C Garrouste

    (LEO - Laboratoire d'Économie d'Orleans [FRE2014] - UO - Université d'Orléans - UT - Université de Tours - CNRS - Centre National de la Recherche Scientifique)

Abstract

Energy prices and environmental policies influence more than ever employment trends across the world. The purpose of this paper is to develop a control strategy to enhance the employability of French graduates in a field that is both a key driver and a significant target of these new trends, namely Earth Sciences. The aim is to provide French universities with a predictive tool to adjust efficiently their skills' supply capacity with the demand forecasts at the European level. This task is treated as a tracking problem from the viewpoint of the control theory. The reference trajectory is obtained via a labour market forecasting model. For the first time, an econometric model and a predictive control strategy are combined. Simulations illustrate the feasibility and potentials of the proposed approach.

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  • Estelle Courtial & C Garrouste, 2014. "Model Predictive Control Strategy to Forecast Employability in Earth Sciences," Post-Print hal-03241701, HAL.
    • Handle: RePEc:hal:journl:hal-03241701
    Note: View the original document on HAL open archive server: https://hal.science/hal-03241701
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    References listed on IDEAS

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    1. Ronald W. McQuaid & Colin Lindsay, 2005. "The Concept of Employability," Urban Studies, Urban Studies Journal Limited, vol. 42(2), pages 197-219, February.
    2. Garrouste, Christelle, 2011. "Towards a benchmark on the contribution of education and training to employability: methodological note," MPRA Paper 37153, University Library of Munich, Germany.
    3. Andries GRIP & Jasper LOO & Jos SANDERS, 2004. "The Industry Employability Index: Taking account of supply and demand characteristics," International Labour Review, International Labour Organization, vol. 143(3), pages 211-233, September.
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