Environmental Innovation Impact analysis with the GMR-Europe Model

VARGA, ATTILA and HAU-HORVÁTH, ORSOLYA and SZABÓ, NORBERT and JÁROSI, PÉTER (2015): Environmental Innovation Impact analysis with the GMR-Europe Model. Published in: Regional Statistics , Vol. 4, No. 2 (February 2015): pp. 3-17.

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.

• Item Type: MPRA Paper
• Language: English
• Keywords: GMR model, Blue Economy, computable general equilibrium models, TFP, innovation.
• Subjects: C - Mathematical and Quantitative Methods > C5 - Econometric Modeling; O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights; O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O30 - General; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics

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