Measuring Intersectoral Knowledge Spillovers: an Application of Sensitivity Analysis to Italy
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- Giovanni Cerulli & Bianca Poti`, 2009. "Measuring Intersectoral Knowledge Spillovers: An Application Of Sensitivity Analysis To Italy," Economic Systems Research, Taylor & Francis Journals, vol. 21(4), pages 409-436.
References listed on IDEAS
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- F. Cerina & F. Mureddu, 2009. "Is Agglomeration really good for Growth? Global Efficiency, Interregional Equity and Uneven Growth," Working Paper CRENoS 200913, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
- Fabio Cerina & Francesco Mureddu, 2010. "Is Agglomeration really Good for Growth? Global Efficiency, Interregional Equity and Uneven Growth," DEGIT Conference Papers c015_022, DEGIT, Dynamics, Economic Growth, and International Trade.
- Zuzana Smeets Kristkova & Cornelis Gardebroek & Michiel van Dijk & Hans van Meijl, 2017.
"The impact of R&D on factor-augmenting technical change – an empirical assessment at the sector level,"
Economic Systems Research, Taylor & Francis Journals, vol. 29(3), pages 385-417, July.
- Kristkova, Z. Smeets & Gardebroek, K. & van Dijk, M. & van Meijl, H., 2015. "The impact of R&D on factor-augmenting technical change- an empirical assessment at the sector level," 2015 Conference, August 9-14, 2015, Milan, Italy 230229, International Association of Agricultural Economists.
- Eduardo Gonçalves & Fernando Salgueiro Perobelli & Inácio Fernandes Araújo, 2017. "Estimating intersectoral technology spillovers for Brazil," The Journal of Technology Transfer, Springer, vol. 42(6), pages 1377-1406, December.
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More about this item
Keywords
R&D spillovers; Input-output models; Sensitivity analysis; Monte Carlo simulations;All these keywords.
JEL classification:
- O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
- C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-INO-2008-03-15 (Innovation)
- NEP-KNM-2008-03-15 (Knowledge Management & Knowledge Economy)
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