Efectos de la crisis económica en la eficiencia medioambiental: Un análisis sectorial para españa basado en un modelo de multiplicadores

  1. Agustín Velázquez 1
  2. Luis Enrique Pedauga 1
  3. Blanca L. Delgado-Márquez 1
  1. 1 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

Journal:
Economía industrial

ISSN: 0422-2784

Year of publication: 2016

Issue Title: Empresa, medio ambiente y competición

Issue: 401

Pages: 109-117

Type: Article

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More publications in: Economía industrial

Abstract

This paper allows disentangling the effects caused by the economic crisis on the environmental efficiency of the Spanish economic sectors. To that aim, we use the Social Accounting Matrix and Environmental Accounts (SAMEA) to calculate the denominated «domestic SAMEA multipliers». Data reveal an improvement of the environmental efficiency.

Bibliographic References

  • BRUNDTLAND, G.H. (1987). World Commission on Environment and Development, 1987. Our common future. Oxford University Press, Oxford.
  • CANSINO, J.M.; CARDENETE, M.A.: ORDÓÑEZ, M. & ROMÁN, R. (2012). «Economic analysis of greenhouse gas emissions in the Spanish economy». Renewable and Sustainable Energy Reviews, vol. 16, nº 8, pp. 6032-6039.
  • COMMISSION OF THE EUROPEAN COMMUNITIES, INTERNATIONAL MONETARY FUND, ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT, UNITED NATIONS AND WORLD BANK (1993). System of National Accounts 1993. Sales No. E.94.XVII.4. Available from http:// unstats.un.org/unsd/nationalaccount/docs/1993sna.pdf.
  • EUROPEAN COMMISSION, INTERNATIONAL MONETARY FUND, ORGANISATION FOR ECONOMIC COOPERATION AND DEVELOPMENT, UNITED NATIONS AND WORLD BANK (2003). Handbook of national accounting: integrated environmental and economic accounting 2003, Studies in Methods, Series F, nº. 61, Rev. 1. Available from http://unstats.un.org/unsd/envaccounting/seea2003.pdf.
  • EUROPEAN COMMISSION, INTERNATIONAL MONETARY FUND, ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT, UNITED NATIONS AND WORLD BANK (2009). System of National Accounts 2008. Sales No. E.08.XVII.29. Available fromhttp://unstats.un.org/ unsd/nationalaccount/docs/SNA2008.pdf.
  • GOLDSTEIN, H. (1986). «Multilevel mixed linear model analysis using iterative generalized least squares.» Biometrika, vol. 73, nº 1, pp. 43-56.
  • HERNÁNDEZ, G. (2012). «Matrices insumo-producto y análisis de multiplicadores: una aplicación para Colombia». Revista de economía institucional, vol. 14, nº 26, pp. 203-221.
  • HIRSCHMAN, A. (1958). The strategy of economic development. New Haven: Yale University Press.
  • KYOTO PROTOCOL. (1997). The Kyoto Protocol to the United Nations Framework Convention on Climate Change. Kyoto: UNEP/WMO.
  • LOREK, S. & SPANGENBERG, J.H. (2014). «Sustainable consumption within a sustainable economy–beyond green growth and green economies». Journal of cleaner production, nº 63, pp. 33-44.
  • MILLENNIUM ECOSYSTEM ASSESSMENT (2003). Ecosystems and Human Well-being: A Framework for Assessment. Washington, D.C.: Island Press. Available from pdf.wri.org/ecosystems_human_wellbeing.pdf.
  • MORILLA, C.R.; DIAZ-SALAZAR, G.L. & CARDENETE, M.A. (2007). «Economic and environmental efficiency using a social accounting matrix». Ecological Economics, vol. 60, nº 4, pp. 774-786.
  • MORILLA, C.R.; FLORES, M.A.C. & DÍAZ-SALAZAR, G.L. (2009). «Multiplicadores domésticos” SAMEA” en un modelo multisectorial económico y ambiental de España». Economía agraria y recursos naturales, vol. 9, nº 1, pp. 111-135.
  • POLO, C.; ROLAND-HOLST, D. & SANCHO, F. (1991). «Descomposición de multiplicadores en un modelo multisectorial: una aplicación al caso español». Investigaciones Económicas, vol.15, nº 1, pp. 53-69.
  • PYATT, G. AND E. THORBECKE. (1976). Planning techniquesfor a betterfuture. Geneva: International Labour Office.
  • RASMUSSEN, P.N. (1956). Studies in intersectoral relations (Vol. 15). E. Harck.
  • RAUDENBUSH, S. & BRYK, A.S. (1986). «A hierarchical model for studying school effects». Sociology of education, nº 1-17.
  • ROBINSON, S. & ROLAND-HOLST, D.W. (1988). «Macroeconomic structure and computable general equilibrium models». Journal of Policy Modeling, vol. 10, nº 3, pp. 353-375.
  • TUKEY, J.W. (1977). Exploratory data analysis. Reading, MA: Addison-Wesley.
  • UNCED. (1992a). Agenda 21. United Nations, New York. http://sustainabledevelopment. un.org/content/documents/Agenda21.pdf. Consultado el 19 de marzo de 2016.
  • UNCED. (1992b). Rio Declaration on Environment and Development. United Nations, New York. http://www.unep.org/Docu ments.Multilingual/Default.asp? DocumentID1⁄478&ArticleID1⁄41163. Consultado el 19 de marzo de 2016.
  • UNITED NATIONS. (1993). Report of the United Nations Conference on Environment and Development, Rio de Janeiro, 3-14 June 1992, vol. I, Resolutions Adopted by the Conference. Sales No. E.93.I.8 and corrigendum. Resolution I, annex II (Agenda 21). Available from http://www.un.org/esa/dsd/agenda21/.
  • UNITED NATIONS (2012). The future We want. In: Final Decla-ration of the UNCSD conference, Rio de Janeiro, June 2012 electronic source: http://www.uncsd2012. org/content/documents/727The%20 Future%20We%20Want%2019%20June% 201230pm.pdf. Consultado el 12 de abril de 2016
  • UNITED NATIONS. (2015). Framework convention on climate chage. Paris.
  • VELÁZQUEZ ALONSO, E. (2003). «Modelo Input–Output de agua. Análisis de las relaciones intersectoriales de agua en Andalucía». Documento de Trabajo (E2003/01), Fundación Centro de Estudios Andaluces.
  • WORLD COMMISSION ON ENVIRONMENT AND DEVELOPMENT (1987). Our Common Future. New York, Oxford: Oxford University Press,
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