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Random preferences towards bioenergy environmental externalities: A case study of woody biomass based electricity in the Southern United States
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Random preferences towards bioenergy environmental externalities: A case study of woody biomass based electricity in the Southern United States

Author

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  • Susaeta, Andres
  • Lal, Pankaj
  • Alavalapati, Janaki
  • Mercer, Evan

Abstract

This paper contrasts alternate methodological approaches of investigating public preferences, the random parameter logit (RPL) where tastes and preferences of respondents are assumed to be heterogeneous and the conditional logit (CL) approach where tastes and preferences remain fixed for individuals. We conducted a choice experiment to assess preferences for woody biomass based electricity in Arkansas, Florida, and Virginia. Reduction of CO2 emissions and improvement of forest habitat by decreasing risk of wildfires and pest outbreaks were presented to respondents as attributes of using green electricity. The results indicate that heterogeneous preferences might be a better fit for assessing preferences for green electricity. All levels of both attributes were positive contributors to welfare but they were no statistically significant. Respondents expressed a positive mean marginal willingness to pay (WTP) for each attribute level. The total WTP for green electricity per kilowatt hour was $0.049kWh or $40.5 per capita year−1 when converted into future total annual expenditures.

Suggested Citation

  • Susaeta, Andres & Lal, Pankaj & Alavalapati, Janaki & Mercer, Evan, 2011. "Random preferences towards bioenergy environmental externalities: A case study of woody biomass based electricity in the Southern United States," Energy Economics, Elsevier, vol. 33(6), pages 1111-1118.
  • Handle: RePEc:eee:eneeco:v:33:y:2011:i:6:p:1111-1118
    DOI: 10.1016/j.eneco.2011.05.015
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    References listed on IDEAS

    as
    1. Kataria, Mitesh, 2009. "Willingness to pay for environmental improvements in hydropower regulated rivers," Energy Economics, Elsevier, vol. 31(1), pages 69-76, January.
    2. Wiktor Adamowicz & Peter Boxall & Michael Williams & Jordan Louviere, 1998. "Stated Preference Approaches for Measuring Passive Use Values: Choice Experiments and Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 64-75.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, November.
    4. Gan, Jianbang, 2007. "Supply of biomass, bioenergy, and carbon mitigation: Method and application," Energy Policy, Elsevier, vol. 35(12), pages 6003-6009, December.
    5. Roe, Brian & Teisl, Mario F. & Levy, Alan & Russell, Matthew, 2001. "US consumers' willingness to pay for green electricity," Energy Policy, Elsevier, vol. 29(11), pages 917-925, September.
    6. Li, Hui & Jenkins-Smith, Hank C. & Silva, Carol L. & Berrens, Robert P. & Herron, Kerry G., 2009. "Public support for reducing US reliance on fossil fuels: Investigating household willingness-to-pay for energy research and development," Ecological Economics, Elsevier, vol. 68(3), pages 731-742, January.
    7. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    8. W. Michael Hanemann, 1984. "Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 332-341.
    9. Rolfe, John & Bennett, Jeff, 2009. "The impact of offering two versus three alternatives in choice modelling experiments," Ecological Economics, Elsevier, vol. 68(4), pages 1140-1148, February.
    10. Nick Hanley & Susana Mourato & Robert E. Wright, 2001. "Choice Modelling Approaches: A Superior Alternative for Environmental Valuatioin?," Journal of Economic Surveys, Wiley Blackwell, vol. 15(3), pages 435-462, July.
    11. Carlsson, Fredrik & Frykblom, Peter & Johan Lagerkvist, Carl, 2005. "Using cheap talk as a test of validity in choice experiments," Economics Letters, Elsevier, vol. 89(2), pages 147-152, November.
    12. Boxall, Peter C. & Adamowicz, Wiktor L. & Swait, Joffre & Williams, Michael & Louviere, Jordan, 1996. "A comparison of stated preference methods for environmental valuation," Ecological Economics, Elsevier, vol. 18(3), pages 243-253, September.
    13. repec:bla:jecsur:v:15:y:2001:i:3:p:435-62 is not listed on IDEAS
    14. Arne Risa Hole, 2007. "A comparison of approaches to estimating confidence intervals for willingness to pay measures," Health Economics, John Wiley & Sons, Ltd., vol. 16(8), pages 827-840, August.
    15. Prins, Mark J. & Ptasinski, Krzysztof J. & Janssen, Frans J.J.G., 2006. "More efficient biomass gasification via torrefaction," Energy, Elsevier, vol. 31(15), pages 3458-3470.
    16. Caussade, Sebastián & Ortúzar, Juan de Dios & Rizzi, Luis I. & Hensher, David A., 2005. "Assessing the influence of design dimensions on stated choice experiment estimates," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 621-640, August.
    17. Bruce McCarl & Darius Adams & Ralph Alig & John Chmelik, 2000. "Competitiveness of biomass‐fueled electrical power plants," Annals of Operations Research, Springer, vol. 94(1), pages 37-55, January.
    18. Solomon, Barry D. & Johnson, Nicholas H., 2009. "Valuing climate protection through willingness to pay for biomass ethanol," Ecological Economics, Elsevier, vol. 68(7), pages 2137-2144, May.
    19. William S. Breffle & Robert D. Rowe, 2002. "Comparing Choice Question Formats for Evaluating Natural Resource Tradeoffs," Land Economics, University of Wisconsin Press, vol. 78(2), pages 298-314.
    20. Bergmann, Ariel & Hanley, Nick & Wright, Robert, 2006. "Valuing the attributes of renewable energy investments," Energy Policy, Elsevier, vol. 34(9), pages 1004-1014, June.
    21. Fredrik Carlsson & Peter Frykblom & Carl Johan Lagerkvist, 2007. "Consumer willingness to pay for farm animal welfare: mobile abattoirs versus transportation to slaughter," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 34(3), pages 321-344, September.
    22. Mendelsohn, Robert & Dinar, Ariel & Williams, Larry, 2006. "The distributional impact of climate change on rich and poor countries," Environment and Development Economics, Cambridge University Press, vol. 11(2), pages 159-178, April.
    23. Richard Carson & Theodore Groves, 2007. "Incentive and informational properties of preference questions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 181-210, May.
    24. Carlsson, Fredrik & Frykblom, Peter & Liljenstolpe, Carolina, 2003. "Valuing wetland attributes: an application of choice experiments," Ecological Economics, Elsevier, vol. 47(1), pages 95-103, November.
    25. Marta-Pedroso, Cristina & Freitas, Helena & Domingos, Tiago, 2007. "Testing for the survey mode effect on contingent valuation data quality: A case study of web based versus in-person interviews," Ecological Economics, Elsevier, vol. 62(3-4), pages 388-398, May.
    26. Shrestha, Ram K. & Alavalapati, Janaki R. R., 2004. "Valuing environmental benefits of silvopasture practice: a case study of the Lake Okeechobee watershed in Florida," Ecological Economics, Elsevier, vol. 49(3), pages 349-359, July.
    27. Gan, Lin & Eskeland, Gunnar S. & Kolshus, Hans H., 2007. "Green electricity market development: Lessons from Europe and the US," Energy Policy, Elsevier, vol. 35(1), pages 144-155, January.
    28. Borchers, Allison M. & Duke, Joshua M. & Parsons, George R., 2007. "Does willingness to pay for green energy differ by source?," Energy Policy, Elsevier, vol. 35(6), pages 3327-3334, June.
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    More about this item

    Keywords

    Choice experiment; Willingness to pay; Woody biomass; Electricity;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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