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Incorporating sustainability indicators into a computable general equilibrium model of the scottish economy

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Author Info

  • Linda Ferguson
  • Peter Mcgregor
  • J. Kim Swales
  • Karen Turner
  • Ya Ping Yin

Abstract

In recent years, the notion of sustainable development has begun to figure prominently in the regional, as well as the national, policy concerns of many industrialized countries. Indicators have typically been used to monitor changes in economic, environmental and social variables to show whether economic development is on a sustainable path. In this paper we endogenize individual and composite environmental indicators within an appropriately specified computable general equilibrium modelling framework for Scotland. In principle, at least, this represents a very powerful modelling tool that can inform the policy making process by identifying the impact of any exogenous policy change on the key endogenous environmental and economic indicators. It can also identify the effects of any binding environmental targets on economic activity.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Economic Systems Research.

Volume (Year): 17 (2005)
Issue (Month): 2 ()
Pages: 103-140

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Handle: RePEc:taf:ecsysr:v:17:y:2005:i:2:p:103-140

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Related research

Keywords: Computable general equilibrium modelling; environmental indicators; sustainability policy;

References

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Citations

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Cited by:
  1. Halkos, George & Tzeremes, Nickolaos, 2011. "Does the Kyoto Protocol Agreement matters? An environmental efficiency analysis," MPRA Paper 30652, University Library of Munich, Germany.
  2. Mark Partridge & Dan Rickman, 2010. "Computable General Equilibrium (CGE) Modelling for Regional Economic Development Analysis," Regional Studies, Taylor & Francis Journals, vol. 44(10), pages 1311-1328.
  3. Learmonth, D. & McGregor, P.G. & Swales, J.K. & Turner, K.R. & Yin, Y.P., 2007. "The importance of the regional/local dimension of sustainable development: An illustrative Computable General Equilibrium analysis of the Jersey economy," Economic Modelling, Elsevier, vol. 24(1), pages 15-41, January.

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