Mainstreaming Impact over Time – Who Measures What for Whom?

  • Renate Schubert
  • Markus Ohndorf
  • Moritz Rohling
Open Access
Chapter

Abstract

Within environmental finance, the guiding question of “who measures what for whom” can be examined from different angles. In this paper the authors argue that, provided environmental markets are well-designed, measuring environmental performance is very closely related to measuring financial success for the primary actors on the market. Hence, at the aggregate level, market volume can be used as a highly correlated proxy for environmental success. In a second-order interpretation of the guiding question it is, however, revealed that information-related concerns need to go beyond simple measurement issues. It is argued here that transaction costs in the form of information barriers mainly account for inefficiently low levels of environmental finance. The authors explore this information-finance nexus on a actor-by-actor basis in order to identify the general nature of these barriers. From these general considerations, the authors deduce that a part of these transaction costs could be reduced through enabling actors to scale-up overall investments by pooling small-scale projects. In fact, different actors could assume the role of an Information & Technology Broker. Due to limitations in scope, the authors focus their analysis on two of these actors: the Clean Development Mechanism project developers and energy services companies. As it turns out, while seeking to secure project financing, these actors face information related barriers on the supply side. Commercial finance institutions apparently have difficulties to assess the risks associated with environmental small-scale projects, which is due to the lack of an established credit history as well as a deficit in banking expertise for these markets. To overcome such information related barriers, a case for intervention by governments or development finance institutions definitely exists. In this context, all measures fostering a “risk-reduced learning by doing” seem to be particularly promising.

References

  1. Benzion, U., Rapoport, A., Yagil, J. (1989) Discount Rates Inferred From Decisions: An Experimental Study. Management Science 35:270–284.CrossRefGoogle Scholar
  2. BNDES (Brazilian National Development Bank) (2008) Support to Energetic Efficiency Projects (PROSECO). Available online at http://www.bndes.gov.br/english/proesco_in.asp.
  3. BfAI (Deutsche Bundesagentur für Außenwirtschaft) (2007) Brasilien bietet Potential bei Energieeffizienz. Article, Database: Länder und Märkte, 31.10.2007, Available online at: https://www.bfai.de/DE/Content/__SharedDocs/Links-Einzeldokumente-Datenbanken/fachdokument.html?fIdent=MKT200710308000.
  4. Capoor, K., Ambrosi, P. (2007) State and Trends of the Carbon Market 2007. Washington, DC: World Bank and IETA.Google Scholar
  5. Capoor, K., Ambrosi, P. (2008) State and Trends of the Carbon Market 2008. Washington, DC: World Bank.Google Scholar
  6. Cochran, I.T., Leguet, B. (2007) Carbon Investment Funds: The Influx of Private Capital, Note d’etude 12. Paris: Mission Climat Caisse des Depots.Google Scholar
  7. CDM EB (2007) Report of the 36th Meeting of the CDM Executive Board, 26–30 November 2007, Bali, Indonesia, Official Document, available at: http://cdm.unfccc.int/EB/036/eb36rep.pdf.
  8. CDM PDD (2005) Project ID: 0079, Simplified Project Design Document for Small-Scale CDM: Kuyasa Low-Cost Urban Housing Energy Upgrade Project, Khayelitsha (Cape Town, South Africa), available at: http://cdm.unfccc.int/Projects/DB/DNV-CUK1121165382.34.
  9. Epper, T., Fehr-Duda, H., Bruhin, A. (2008) Uncertainty Breeds Decreasing Impatiance: The Role of Risk Preferences in Time Discounting. Institute for Environmental Decisions, ETH Zurich, mimeo.Google Scholar
  10. Fenhann, J. (2008a) UNEP Risoe CDM/JI Pipeline Analysis and Database. Version November 1st 2008, Available at: http://cdmpipeline.org.
  11. Fenhann, J. (2008b) The CDM Pipeline Is Getting Longer …, Carbon Finance, February 08th, available online at: http://www.carbon-financeonline.com.
  12. Fenhann, J. (2008c) Why Are There So Many Small-Scale CDM Projects? Carbon Finance May 19th available online at: http://www.carbon-financeonline.com.
  13. Figueres, C., Philips, M. (2007) Scaling Up Demand-Side Energy Efficiency Improvements Through Programmatic CDM. ESMAP Technical Paper 120/07, Washington, DC: Energy Sector Management Assistance Program and The World Bank Carbon Finance Unit.Google Scholar
  14. IEA (2008) International Energy Agency, Mind the Gap, Quantifying Principal-Agent Problems in Energy Efficiency. Paris: IEA.Google Scholar
  15. Nakhooda, S. (2008) Correcting The World’s Greatest Market Failure: Climate Change and the Multilateral Development Banks. Washington, DC: World Resources Institute Issue Brief.Google Scholar
  16. Painuly, J., Park, H., Lee, M.K., Noh, J. (2003) Promoting Energy Efficiency Financing and ESCOs in Developing Countries: Mechanisms and Barriers. Journal of Cleaner Production 11:659–665.CrossRefGoogle Scholar
  17. PointCarbon (2008) Trading Carbon, Graphs and Charts, Data. Vol. 2(9):42–43, November.Google Scholar
  18. Roine, K., Tvinnreim, E., Hasselknippe, H. (eds.) (2008) Carbon 2008 – Post-2012 Is Now. Oslo: PointCarbon Report.Google Scholar
  19. SouthSouthNorth (2005) Profile of CDM Project Activity, Kuyasa Low-Cost Urban Housing Energy Upgrade Project, Khayelitsha (Cape Town, South Africa), Project Documentation, available at: http://www.southsouthnorth.org/default.asp?/country_home.asp?country_id=11.
  20. Taylor, R., Govindarajalu, C., Levin, J., Meyer, A., Ward, W. (2008) Financing Energy Efficiency: Lessons from Brazil, China, India, and Beyond. Washington, DC: World Bank.Google Scholar
  21. UNEP RISOE (2007) Guidebook to Financing CDM Projects. Capacity Development for CDM (CD4CDM) Project. Roskilde, Denmark: UNEP RISOE Centre.Google Scholar
  22. UNFCCC (2002) Report of the 7th Conference of the Parties, held at Marrakesh. Official Document. Bonn: United Framework Convention on Climate Change.Google Scholar
  23. WEC (World Energy Council) (2008) Energy Efficiency Policies Around the World: Review and Evaluation. London, UK: World Energy Council.Google Scholar

Copyright information

© The Author(s) 2012

Open Access. This chapter is distributed under the terms of the Creative Commons Attribution Noncommercial License, which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Authors and Affiliations

  • Renate Schubert
    • 1
  • Markus Ohndorf
    • 1
  • Moritz Rohling
    • 1
  1. 1.Institute for Environmental DecisionsETH ZurichZurichSwitzerland

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