Fiche du document
2010
- ISIDORE Id: 10670/1.20e177...
- halshs: halshs-00489260
info:eu-repo/semantics/OpenAccess
Mots-clés
Productivity Change Luenberger Indicator Knowledge Externalities C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C31 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction Models C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C23 - Panel Data Models • Spatio-temporal Models R - Urban, Rural, Regional, Real Estate, and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes R - Urban, Rural, Regional, Real Estate, and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic ActivitySujets proches
Transportation industry Transport Transportation companies Transportation--Economic aspects Transportation, Primitive Public transportation Real property--Law and legislation Catastral surveys Real estate law Cadastral surveys Realty Property, Real Freehold Real estate Limitations (Law) Papers Intangible assets Incorporeal property Intangible property--Law and legislation Intangibles Frenchmen (French people)Citer ce document
Corinne Autant-Bernard et al., « Productivity Changes and Intangible Assets : Evidence from French Plants », HAL SHS (Sciences de l’Homme et de la Société), ID : 10670/1.20e177...
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Résumé
This paper investigates the effect of inter-firm and intra-firm spillovers on the productivity of firms, using French data. The Luenberger Productivity Indicator (LPI) is used to estimate the productivity and to break it down into several components (e.g. efficiency, biased technical progress, scale effects, etc.). Using this approach, negative productivity changes are found due to the unfavourable economic situation over 2000-2002. Intangible assets underlying productivity change are then investigated through a Maximum Likelihood Random Effect (MLRE) model. Spillover effects – influencing Total Factor Productivity (TFP) and its correspondent components, technological and efficiency changes – are found.
