Skip to main content

Optimal Pricing Instruments for Emission Reduction Certificates

  • Chapter
  • First Online:
Enabling Environment
  • 668 Accesses

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    This chapter is largely based on Sunderasan (2011).

  2. 2.

    http://cdm.unfccc.int/about/index.html

  3. 3.

    http://cdm.unfccc.int/Statistics/index.html accessed 7 Aug 2012.

  4. 4.

    www.reutersinteractive.com and http://www.bluenext.fr/statistics/downloads.html for data relating to CERs deliverable in December 2010.

  5. 5.

    Data through mid-August 2009.

  6. 6.

    BlueNext data from 2 June 2008 through 29 Nov 2010.

  7. 7.

    http://en.wikipedia.org/wiki/Economy_of_the_People’s_Republic_of_China; http://en.wikipedia.org/wiki/Economy_of_south_korea; http://en.wikipedia.org/wiki/Economy_of_brazil; accessed 1 Dec 2009.

  8. 8.

    http://dgft.delhi.nic.in/; accessed 1 Dec 2009.

  9. 9.

    The correlation between the Euro and in CHF (measured by gold prices denominated in either currency) for the calendar year 2008 is 0.828, implying that some but not all of the shocks affecting the Euro would affect the CHF.

  10. 10.

    Historical data for exchange rates obtained from http://www.oanda.com/currency/historical-rates

References

  • Albrecht J, Verbeke T, De Clercq M (2006) Informational efficiency of the US SO2 permit market. Environ Model Softw 21(10):1471–1478

    Article  Google Scholar 

  • Baillie RT, Bollerslev T (1989) Common stochastic trends in a system of exchange rates. J Finance 44(1):167–181

    Article  Google Scholar 

  • 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):1631–1643

    Article  Google Scholar 

  • Chen Y-C, Rogoff K, Rossi B (2008) Can exchange rates forecast commodity prices? NBER working paper no. 13901. National Bureau of Economic Research, Cambridge

    Google Scholar 

  • Crowder WJ (1994) Foreign exchange market efficiency and common stochastic trends. J Int Money Finance 13(5):551–564

    Article  Google Scholar 

  • 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, Cambridge

    Google Scholar 

  • Hamilton JD (2008) Understanding crude oil prices. NBER working paper no. 14492. National Bureau of Economic Research, Cambridge

    Google Scholar 

  • Lee C-C, Lee J-D (2009) Income and CO2 emissions: evidence from panel unit root and cointegration tests. Energy Policy 37(2):413–423

    Article  Google Scholar 

  • 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):199–214

    Article  Google Scholar 

  • Schneider M, Holzer A, Hoffmann VH (2008) Understanding the CDM’s contribution to technology transfer. Energy Policy 36(8):2930–2938

    Article  Google Scholar 

  • Sunderasan S (2011) Optimal pricing instruments for emission reduction certificates. Environ Sci Policy 14:569–577. Elsevier Limited

    Article  Google Scholar 

  • 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):814–820

    Article  Google Scholar 

  • The Economist (2007) The clean development mechanism: how to make a clever deal cleverer. The Economist, 29 Nov 2007

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Srinivasan Sunderasan .

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer India

About this chapter

Cite this chapter

Sunderasan, S. (2013). Optimal Pricing Instruments for Emission Reduction Certificates. In: Enabling Environment. Springer, India. https://doi.org/10.1007/978-81-322-0882-2_6

Download citation

Publish with us

Policies and ethics