Optimal Pricing Instruments for Emission Reduction Certificates



The Clean Development Mechanism (CDM), launched under the Kyoto Protocol, is intended to internalize environmental externalities and to help developing countries achieve their developmental objectives employing cleaner, albeit possibly more expensive, technologies, inter alia creating markets for trading of emission reduction certificates (“certified emission reduction” CER). Statistical analyses reveal trends in pricing of Euro-denominated CERs, which is interpreted as market inefficiency. Since the exporting countries are required to “liquidate,” “package,” and “export” a natural asset and, in real terms, surrender the option to employ certain technologies or to undertake certain initiatives, they should be recompensed through an asset of comparable quality and, more importantly, one on whose valuation the sellers have sufficient control. A currency basket consisting of major CER exporting country currencies is considered. A specially constructed synthetic currency named the CERO, a weighted average of the CER exporting countries’ import partners’ currencies, is proposed as a second alternative.


Monetary Policy Abnormal Return Clean Development Mechanism Kyoto Protocol Nominal Exchange Rate 


  1. Albrecht J, Verbeke T, De Clercq M (2006) Informational efficiency of the US SO2 permit market. Environ Model Softw 21(10):1471–1478CrossRefGoogle Scholar
  2. Baillie RT, Bollerslev T (1989) Common stochastic trends in a system of exchange rates. J Finance 44(1):167–181CrossRefGoogle Scholar
  3. Belaire-Franch J, Opong KK (2005) Some evidence of random walk behavior of Euro exchange rates using ranks and signs. J Bank Finance 29(7):1631–1643CrossRefGoogle Scholar
  4. Chen Y-C, Rogoff K, Rossi B (2008) Can exchange rates forecast commodity prices? NBER working paper no. 13901. National Bureau of Economic Research, CambridgeGoogle Scholar
  5. Crowder WJ (1994) Foreign exchange market efficiency and common stochastic trends. J Int Money Finance 13(5):551–564CrossRefGoogle Scholar
  6. Dailami M (1979) The choice of an optimal currency for denominating the price of oil. MIT working paper no. MIT-EL 78 – 026WP. Massachusetts Institute of Technology, CambridgeGoogle Scholar
  7. Hamilton JD (2008) Understanding crude oil prices. NBER working paper no. 14492. National Bureau of Economic Research, CambridgeGoogle Scholar
  8. Lee C-C, Lee J-D (2009) Income and CO2 emissions: evidence from panel unit root and cointegration tests. Energy Policy 37(2):413–423CrossRefGoogle Scholar
  9. Lee Chun I, Pan M-S, Liu Angela Y (2001) On market efficiency of Asian foreign exchange rates: evidence from a joint variance ratio test and technical trading rules. J Int Financ Mark Inst Money 11(2):199–214CrossRefGoogle Scholar
  10. Schneider M, Holzer A, Hoffmann VH (2008) Understanding the CDM’s contribution to technology transfer. Energy Policy 36(8):2930–2938CrossRefGoogle Scholar
  11. Sunderasan S (2011) Optimal pricing instruments for emission reduction certificates. Environ Sci Policy 14:569–577. Elsevier LimitedCrossRefGoogle Scholar
  12. Tabak BM, Lima EJA (2009) Market efficiency of Brazilian exchange rate: evidence from variance ratio statistics and technical trading rules. Eur J Oper Res 194(3):814–820CrossRefGoogle Scholar
  13. The Economist (2007) The clean development mechanism: how to make a clever deal cleverer. The Economist, 29 Nov 2007Google Scholar

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© Springer India 2013

Authors and Affiliations

  1. 1.Verdurous Solutions Private LimitedMysoreIndia

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