A dynamic CGE modelling approach for analyzing trade-offs in climate change policy options: the case of Green Climate Fund

Alessandro Antimiani (), Valeria Costantini, Anil Markandya, Chiara Martini (), Alessandro Palma () and Maria Cristina Tommasino ()
Additional contact information
Chiara Martini: Agenzia nazionale per le nuove tecnologie, l’energia e lo sviluppo economico sostenibile (ENEA), Italy.
Maria Cristina Tommasino: Agenzia nazionale per le nuove tecnologie, l’energia e lo sviluppo economico sostenibile (ENEA), Italy.

No 1614, SEEDS Working Papers from SEEDS, Sustainability Environmental Economics and Dynamics Studies

Abstract: We investigate the trade-offs between economic growth and low carbon targets for developing and developed countries in the period up to 2035. Policy options are evaluated with an original version of the dynamic CGE model GDynE. Abatement costs appear to be strongly detrimental to conomic growth for developing countries. We investigate options for reducing these costs that are consistent with a green growth strategy. We show that Green Climate Fund financed through a levy on carbon taxation can benefit all parties, and larger benefits are associated with investment of the Green Climate Fund to foster energy efficiency in developing countries.

Keywords: Climate Change Policies; Green Growth; Developing Countries; Dynamic CGE Energy Model; Green Climate Fund. (search for similar items in EconPapers)
JEL-codes: C68 H23 O44 Q54 (search for similar items in EconPapers)
Pages: 42 pages
Date: 2014-06, Revised 2014-06
New Economics Papers: this item is included in nep-agr, nep-cmp, nep-ene, nep-env and nep-reg
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Citations: View citations in EconPapers (5)

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http://www.sustainability-seeds.org/papers/RePec/srt/wpaper/1614.pdf First version, 2014 (application/pdf)
http://www.sustainability-seeds.org/papers/RePec/srt/wpaper/1614.pdf Revised version, 2014 (application/pdf)

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Working Paper: A dynamic CGE modelling approach for analyzing trade-offs in climate change policy options: the case of Green Climate Fund (2014)
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