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This study investigates the R&D-productivity link and the impact of innovation on growth and employment using micro data, focusing on sectoral peculiarities. The analysis includes a breakdown by firm-level data and examines the unbalanced longitudinal database. The literature review highlights differing productivity levels in high-tech and low-tech sectors. The methodology involves analyzing data from 532 top EU R&D investors between 2000-2005, employing augmented production functions and addressing biases in low-tech sectors. The importance of embodied technological change is emphasized, with a particular focus on sector depreciation and R&D stock. Source: European Commission.
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23 June 2008 Comments to R&D and productivity: Testing Sectoral Peculiarities Using Micro Data The Impact of innovation on Growth and Employment Andrea Conte DG Economic and Financial Affairs European Commission
AIMS SCOPE 1) Investigation of the R&D – Productivity Link 2) “Late-comer” Advantage Weaker R&D – Productivity Relationship in HT Sectors MICRO ASSESSMENT 3) Sectoral Breakdown using firm level micro data 4) Unbalanced Longitudinal database
LITERATURE R&D – Productivity Elasticity from 0.05 to 0.25 Higher productivity in High Tech SectorsLow Tech Sectors Griliches and Mairesse (1982) Wakelin (2001) Cuneo and Mairesse (1983) Tsai and Wang (2004) Verspagen (1995)
DATA AND METHODOLOGY 532 top EU R&D Investors from UK DTI 2000-2005 1) Augmented Production Function 2) POLS and RE 3) “Pick the Winner” Bias Effect in Low Tech Sectors 4) Perpetual Inventory Method – Sector Depreciation 15% R&D Stock 6% capital Stock 5) Importance of Embodied Technological Change Source: Commission Services
GERD by sectors of performance and source of funds at the EU27 – 2006 Source: Commission Services