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Environmental Innovation Impact analysis with the GMR-Europe Model

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Listed:
  • VARGA, ATTILA
  • HAU-HORVÁTH, ORSOLYA
  • SZABÓ, NORBERT
  • JÁROSI, PÉTER

Abstract

This study introduces and applies a modelling system that is suitable for the impact assessment of environmental innovations referred to as “Blue Economy” innovations. The paper’s contribution to the literature is threefold. First, the building of a multi-sector computable general equilibrium (CGE) model, which provides the theoretical framework for studying the economic impacts of using waste as a production input. Second, the creation of an empirical methodology through which new Blue Economy technologies can be concretely accounted for in regional input-output tables. Since Blue Economy innovations are mostly built on local inputs, their effects are primarily local. Third, given that interregional spillovers of local impacts might also be significant, through interregional trade or migration, a modelling approach that can follow complex spatial processes is applied. The broader model framework chosen is the GMR-Europe model.

Suggested Citation

  • Varga, Attila & Hau-Horváth, Orsolya & Szabó, Norbert & Járosi, Péter, 2015. "Environmental Innovation Impact analysis with the GMR-Europe Model," MPRA Paper 73953, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:73953
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    File URL: https://mpra.ub.uni-muenchen.de/73953/1/MPRA_paper_73953.pdf
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    References listed on IDEAS

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    1. Varga, Attila & Járosi, Péter & Koike, Atsushi & Thissen, Mark, 2010. "Regionális fejlesztéspolitikai hatáselemzés térbeli számszerűsített általános egyensúlyi modellel [Effect analysis of regional development policy using a spatial, numerical model of general equilibrium]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 165-180.
    2. Anthony T. Flegg & Timo Tohmo, 2013. "Regional Input--Output Tables and the FLQ Formula: A Case Study of Finland," Regional Studies, Taylor & Francis Journals, vol. 47(5), pages 703-721, May.
    3. Ratto, Marco & Roeger, Werner & Veld, Jan in 't, 2009. "QUEST III: An estimated open-economy DSGE model of the euro area with fiscal and monetary policy," Economic Modelling, Elsevier, vol. 26(1), pages 222-233, January.
    4. Speck, Stefan, 1997. "A neo-Austrian five process model with resource extraction and pollution abatement," Ecological Economics, Elsevier, vol. 21(2), pages 91-103, May.
    5. Attila Varga & Dimitrios Pontikakis & George Chorafakis, 2014. "Metropolitan Edison and cosmopolitan Pasteur? Agglomeration and interregional research network effects on European R&D productivity," Journal of Economic Geography, Oxford University Press, vol. 14(2), pages 229-263.
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    Keywords

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    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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