IDEAS home Printed from https://ideas.repec.org/p/ags/fftrri/48726.html
   My bibliography  Save this paper

Managing R&D risk in renewable energy

Author

Listed:
  • Rausser, Gordon C.
  • Papineau, Maya

Abstract

Federal renewable energy R&D spending is intended, at least in part, to achieve path-breaking commercial breakthroughs in ethanol, hydrogen, solar and wind energy. Recently, the private sector has begun to respond to market opportunities generated by the spike in oil prices and governmental support with significant increases in renewable energy investment. As firms increase their exposure in renewable energy markets, the public sector will be increasingly be pulled in the direction of insuring against the downside risks of clean energy investments. A central question arises in this context: what is the optimal ex-ante allocation of renewable energy R&D investment across the emerging technologies? From the standpoint of societal welfare, the optimal allocation of such support is fundamentally a problem of ex-ante portfolio analysis under risk and uncertainty. This paper presents the components of an ex-ante portfolio analysis of both public and private sector R&D risks in renewable energy.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Rausser, Gordon C. & Papineau, Maya, 2008. "Managing R&D risk in renewable energy," Risk, Infrastructure and Industry Evolution Conference, June 24-25, 2008, Berkeley, California 48726, Farm Foundation.
    • Handle: RePEc:ags:fftrri:48726
    DOI: 10.22004/ag.econ.48726
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/48726/files/Managing%20R_D%20Risk%20in%20Renewable%20Energy.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.48726?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. B. L. Gardner & G. C. Rausser (ed.), 2002. "Handbook of Agricultural Economics," Handbook of Agricultural Economics, Elsevier, edition 1, volume 2, number 4.
    2. Gordon C. Rausser & Arthur A. Small, 2000. "Valuing Research Leads: Bioprospecting and the Conservation of Genetic Resources," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 173-206, February.
    3. Davis, Graham A. & Owens, Brandon, 2003. "Optimizing the level of renewable electric R&D expenditures using real options analysis," Energy Policy, Elsevier, vol. 31(15), pages 1589-1608, December.
    4. Nemet, Gregory F. & Kammen, Daniel M., 2007. "U.S. energy research and development: Declining investment, increasing need, and the feasibility of expansion," Energy Policy, Elsevier, vol. 35(1), pages 746-755, January.
    5. A. Payne, 2001. "Measuring the Effect of Federal Research Funding on Private Donations at Research Universities: Is Federal Research Funding More than a Substitute for Private Donations?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 8(5), pages 731-751, November.
    6. Gordon Rausser, 1999. "Private/Public Research: Knowledge Assets and Future Scenarios," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(5), pages 1011-1027.
    7. Pethig, Rudiger, 2006. "Non-linear production, abatement, pollution and materials balance reconsidered," Journal of Environmental Economics and Management, Elsevier, vol. 51(2), pages 185-204, March.
    8. B. L. Gardner & G. C. Rausser (ed.), 2002. "Handbook of Agricultural Economics," Handbook of Agricultural Economics, Elsevier, edition 1, volume 2, number 3.
    9. Papineau, Maya, 2006. "An economic perspective on experience curves and dynamic economies in renewable energy technologies," Energy Policy, Elsevier, vol. 34(4), pages 422-432, March.
    10. Ethridge, Don, 1973. "The Inclusion of Wastes in the Theory of the Firm," Journal of Political Economy, University of Chicago Press, vol. 81(6), pages 1430-1441, Nov.-Dec..
    11. Ayres, Robert U & Kneese, Allen V, 1969. "Production , Consumption, and Externalities," American Economic Review, American Economic Association, vol. 59(3), pages 282-297, June.
    12. Garth Heutel, 2014. "Crowding Out and Crowding In of Private Donations and Government Grants," Public Finance Review, , vol. 42(2), pages 143-175, March.
    13. Cropper, Maureen L & Oates, Wallace E, 1992. "Environmental Economics: A Survey," Journal of Economic Literature, American Economic Association, vol. 30(2), pages 675-740, June.
    14. Popp, David, 2006. "ENTICE-BR: The effects of backstop technology R&D on climate policy models," Energy Economics, Elsevier, vol. 28(2), pages 188-222, March.
    15. Rausser, Gordon C. & Goodhue, Rachael E., 2002. "Public policy: Its many analytical dimensions," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 2, chapter 39, pages 2057-2102, Elsevier.
    16. Somerville, Chris, 2007. "Development of Cellulosic Biofuels (PowerPoint)," Agricultural Outlook Forum 2007 8105, United States Department of Agriculture, Agricultural Outlook Forum.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luiz Gustavo Antonio Souza & Márcia Azanha Ferraz Dias Moraes & Maria Ester Soares Dal Poz & José Maria Ferreira Jardim Silveira, 2015. "Collaborative Networks as a measure of the Innovation Systems in second-generation ethanol," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 355-372, May.
    2. Olha Prokopenko & Tetiana Kurbatova & Marina Khalilova & Anastasiia Zerkal & Gunnar Prause & Jacek Binda & Temur Berdiyorov & Yuriy Klapkiv & Sabina Sanetra-Półgrabi & Igor Komarnitskyi, 2023. "Impact of Investments and R&D Costs in Renewable Energy Technologies on Companies’ Profitability Indicators: Assessment and Forecast," Energies, MDPI, vol. 16(3), pages 1-17, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
    2. Pantelis Kalaitzidakis & Theofanis P. Mamuneas & Thanasis Stengos, 2018. "Greenhouse Emissions and Productivity Growth," JRFM, MDPI, vol. 11(3), pages 1-14, July.
    3. Abad, Arnaud & Briec, Walter, 2019. "On the axiomatic of pollution-generating technologies: Non-parametric production analysis," European Journal of Operational Research, Elsevier, vol. 277(1), pages 377-390.
    4. Dakpo, K Hervé, 2016. "On modeling pollution-generating technologies: a new formulation of the by-production approach," Working Papers 245191, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    5. Ebert, Udo & Welsch, Heinz, 2011. "Optimal environmental taxes and standards: Implications of the materials balance," Ecological Economics, Elsevier, vol. 70(12), pages 2454-2460.
    6. Sushama Murty & R. Robert Russell, "undated". "Bad Outputs," Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi Discussion Papers 17-06, Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi, India.
    7. Rausser, Gordon C. & Roland, Gerard, 2009. "Special Interests versus the Public Interest in Policy Determination," Agricultural Distortions Working Paper Series 50294, World Bank.
    8. Murty, Sushama & Robert Russell, R. & Levkoff, Steven B., 2012. "On modeling pollution-generating technologies," Journal of Environmental Economics and Management, Elsevier, vol. 64(1), pages 117-135.
    9. K Hervé Dakpo, 2016. "On modeling pollution-generating technologies: a new formulation of the by-production approach," Working Papers SMART 16-06, INRAE UMR SMART.
    10. Finn R. Førsund, 2018. "Multi-equation modelling of desirable and undesirable outputs satisfying the materials balance," Empirical Economics, Springer, vol. 54(1), pages 67-99, February.
    11. Forsund, Finn R., 2009. "Good Modelling of Bad Outputs: Pollution and Multiple-Output Production," International Review of Environmental and Resource Economics, now publishers, vol. 3(1), pages 1-38, August.
    12. Bullock, David S., 2012. "Dangers of Using Political Preference Functions in Political Economy Analysis: Examples from U.S. Ethanol Policy," 2012 First Congress, June 4-5, 2012, Trento, Italy 124118, Italian Association of Agricultural and Applied Economics (AIEAA).
    13. Lauwers, Ludwig, 2009. "Justifying the incorporation of the materials balance principle into frontier-based eco-efficiency models," Ecological Economics, Elsevier, vol. 68(6), pages 1605-1614, April.
    14. Bosetti, Valentina & Carraro, Carlo & Duval, Romain & Tavoni, Massimo, 2011. "What should we expect from innovation? A model-based assessment of the environmental and mitigation cost implications of climate-related R&D," Energy Economics, Elsevier, vol. 33(6), pages 1313-1320.
    15. Kiriyama, Eriko & Kajikawa, Yuya & Fujita, Katsuhide & Iwata, Shuichi, 2013. "A lead for transvaluation of global nuclear energy research and funded projects in Japan," Applied Energy, Elsevier, vol. 109(C), pages 145-153.
    16. Ryckembusch, David & Frega, Romeo & Silva, Marcio Guilherme & Gentilini, Ugo & Sanogo, Issa & Grede, Nils & Brown, Lynn, 2013. "Enhancing Nutrition: A New Tool for Ex-Ante Comparison of Commodity-based Vouchers and Food Transfers," World Development, Elsevier, vol. 49(C), pages 58-67.
    17. Atkinson, Scott E. & Tsionas, Mike G., 2021. "Generalized estimation of productivity with multiple bad outputs: The importance of materials balance constraints," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1165-1186.
    18. Gregory S. Amacher & Erkki Koskela & Markku Ollikainen, 2004. "Deforestation, Production Intensity and Land Use under Insecure Property Rights," CESifo Working Paper Series 1128, CESifo.
    19. Grimaud, André & Lafforgue, Gilles & Magné, Bertrand, 2011. "Climate change mitigation options and directed technical change: A decentralized equilibrium analysis," Resource and Energy Economics, Elsevier, vol. 33(4), pages 938-962.
    20. Chandana Maitra & Sriram Shankar & D.S. Prasada Rao, 2016. "Income Poor or Calorie Poor? Who should get the Subsidy?," Discussion Papers Series 564, School of Economics, University of Queensland, Australia.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:fftrri:48726. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/farmfus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.