Blue Economy Innovation Impact Assessment with the GMR-Europe Model

Abstract

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

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A. Varga, O. Hau-Horváth, N. Szabó and P. Járosi, "Blue Economy Innovation Impact Assessment with the GMR-Europe Model," Technology and Investment, Vol. 4 No. 4, 2013, pp. 213-223. doi: 10.4236/ti.2013.44025.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] G. Pauli, “The Blue Economy—10 Years, 100 Innovations, 100 Million Jobs,” Report to the Club of Rome, Paradigm Publications, Taos, 2010.
[2] E. Barata, “Solid Waste Generation and Management in Portugal: An Environmental Input-Output Modelling Approach,” Paper Prepared for the 7th Biennial Conference of the International Society for Ecological Economics, “Environment and Development: Globalisation & the Challenges for Local & International Governance”, Sousse, 6-9 March 2002.
[3] Y. Miyata, “A General Equilibrium Analysis of the Waste-Economic System—A CGE Modeling Approach,” Infrastructure Planning Review, Vol. 12, 1995, pp. 259-270.
http://dx.doi.org/10.2208/journalip.12.259
[4] S. Speck, “A Neo-Austrian Five Process Model with Resource Extraction and Pollution Abatement,” Ecological Economics, Vol. 21, No. 2, 1997, pp. 91-103.
http://dx.doi.org/10.1016/S0921-8009(96)00091-2
[5] S. Baumgartner, “Price Ambivalence of Secondary Resources: Joint Production, Limits to Substitution, and Costly Disposal,” Resources, Conservation and Recycling, Vol. 43, No. 1, 2004, pp. 95-117.
http://dx.doi.org/10.1016/j.resconrec.2004.04.013
[6] A. Varga, P. Járosi and T. Sebestyén, “Geographic Macro and Regional Model for EU Policy Impact Analysis of Intangible Assets and Growth,” Working Paper IAREG WP5/20, 2009.
[7] A. Varga, P. Járosi and T. Sebestyén, “A GMR-Európa Modell és Alkalmazása EU Kohéziós Politikai Reformok Elozetes Hatásvizsgálata Során,” Szigma, 2013, Forthcoming.
[8] A. Varga and H. Torma, “The Extended GMR Modeling System. Study on the Impact of the Single Market on Cohesion: Implications for Cohesion Policy, Growth and Competitiveness,” European Commission, DG Regio Project, Methodology Report, 2010.
[9] A. Varga, H. Schalk, A. Koike, P. Járosi and L. Tavasszy, “Integrating the Effects of Geography into EU Cohesion Policy Impact Modeling: The GMR-Approach,” Paper Presented at the Modeling Workshop of the German Section of the European Regional Science Association, University of Kiel, 2008.
[10] P. Járosi, A. Koike, M. Thissen and A. Varga, “Regionális Fejlesztéspolitikai Hatáselemzés Térbeli Számszerusített általános Egyensúlyi Modellel,” Kozgazdasági Szemle, 2010, pp. 165-180.
[11] A. Varga, D. Pontikakis and G. Chorafakis, “Metropolitan Edison and Cosmopolitan Pasteur? Agglomeration and Interregional Research Network Effects on European R&D Productivity,” Journal of Economic Geography, 2013, Forthcoming.
[12] M. Ratto, W. Roeger and J. Veld, “QUEST III: An Estimated Open-Economy DSGE Model of the Euro Area with Fiscal and Monetary Policy,” Economic Modelling, Vol. 26, No. 1, 2009, pp. 222-233.
http://dx.doi.org/10.1016/j.econmod.2008.06.014
[13] A. Bonfiglio, “A Sensitivity Analysis of the Impact of CAP Reform. Alternative Methods of Constructing Regional Input-Output Tables,” PHD Studies, No. 1, Polytechnic University of Marche, Ancona, 2005.
[14] T. A. Flegg and C. Webber, “Using Location Quotients to Estimate Regional Input-Output Coefficients and Multipliers,” Local Economy Quarterly, Vol. 4, 1996, pp. 58-86.
[15] T. A. Flegg and T. Thomo, “Regional Input-Output Tables and the FLQ Formula: A Case Study of Finland,” ERSA Conference Paper, 2011.
[16] A. Isserman, “Estimating Export Activity in a Regional Economy: A Theoretical and Empirical Analysis of Alternative Methods,” International Regional Science Review, Vol. 5, No. 2, 1980, pp. 155-184.
http://dx.doi.org/10.1177/016001768000500204
[17] R. C. Jensen, T. D. Mandeville and N. D. Karunarante, “Regional Economic Planning: Generation of Regional Input-Output Analysis,” Croom Helm, London, 1979.
[18] P. M. Johns and P. M. K. Leat, “The Application of Modified GRIT Input-Output Procedures to Rural Development Analysis in Grampian Region,” Journal of Agricultural Economics, Vol. 38, No. 2, 1987, pp. 245-256.
http://dx.doi.org/10.1111/j.1477-9552.1987.tb01044.x
[19] A. Kuhar, A. G. Kuhar, E. Erjave, M. Kozar and T. Cor, “Regionalisation of the Social Accounting Matrix—Methodological Review,” Common Agricultural Policy Regional Impact—The Rural Development Dimension Collaborative Project—Small to Medium-Scale Focused Research Project under the Seventh Framework Programme Project No.: 226195, 2009.
[20] M. L. Lahr, “A Review of Literature Supporting the Hybrid Approach to Constructing Regional Input-Output Models,” Economic Systems Research, Vol. 5, No. 3, 1993, pp. 277-293.
http://dx.doi.org/10.1080/09535319300000023
[21] W. Morrison and P. Smith, “Nonsurvey Input-Output Techniques at the Small Area Level,” Journal of Regional Science, Vol. 14, No. 1, 1974, pp. 1-14.
http://dx.doi.org/10.1111/j.1467-9787.1974.tb00425.x
[22] B. Pigozzi and R. Hinojosa, “Regional Input-Output Inverse Coefficients Adjusted from National Tables,” Growth & Change, Vol. 16, No. 1, 2006, pp. 8-12.
http://dx.doi.org/10.1111/j.1468-2257.1985.tb01034.x
[23] W. Schaffer and K. Chu, “Non-Survey Techniques for Constructing Regional Interindustry Models,” Papers in Regional Science, Vol. 23, No. 1, 1969, pp. 83-104.
http://dx.doi.org/10.1007/BF01941876
[24] R. Stone and J. A. C. Brown, “A Long-Term Growth Model for the British Economy,” In: R. C. Geary, Ed., Europe’s Future in Figures, North-Holland, Amsterdam, 1962.
[25] R. Stone, “Input-Output and National Accounts,” Organisation for European Economic Co-Operation, 1961.
[26] C. A. Ulibarri and K. Wellman, “Natural Resource Valuation: A Primer on Concepts and Techniques,” Paper Prepared for the US Department of Energy, 1997.
[27] I. Szili, “A Csiperke és más Gombafajok Háztáji Termesztése,” Mezogazdasági Kiadó Kft, Budapest, 1990.
[28] I. Szili, “Gombatermesztok Kézikonyve,” Mezogazda Kiadó, Budapest, 2008.
[29] I. Szili, “Zsákos (Blokkos) Shiitake-Termesztés,” Manuscript, 2012.
[30] A. Chen, “Cultivation of Lentinula Edodes on Synthetic Logs,” Mushroom Growers’ Newsletter, Vol. 10, No. 4, 2000, pp. 3-9.
[31] Mushworld, “Mushroom Growers’ Handbook: Shiitake Cultivation,” Mushworld, Korea, 2005.

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