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If one goes up, another must come down: A latent class hybrid choice modelling approach for understanding electricity mix preferences among renewables and non-renewables

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  • Borriello, Antonio
  • Burke, Paul F.
  • Rose, John M.

Abstract

Many countries, states, and territories have set short and long term targets to increase the share of renewable sources for electricity generation as part of their respective energy policies. Increased reliance on renewables can occur from several sources (e.g., biomass, solar, hydro, wind). Similarly, when increasing renewables, a decreased reliance on one or more non-renewable (e.g., coal, gas, oil, nuclear) sources must occur. However, each region is different with respect to its present profile and capabilities to generate electricity. Complicating this is that demand can differ across individuals, states and territories. By using a discrete choice experiment and latent class hybrid choice model (LCHCM), we estimate individual willingness to pay (WTP) values among four renewable and four non-renewable energy sources for residents across Australia’s states and territories. The model identifies two latent segments in relation to WTP, which can be described using differences in pro-environmental attitudes and socio-demographics. The findings reveal that preferences in terms of energy mix composition for electricity generation are heterogeneous across Australia states and individuals. WTP is found to be higher for biomass, whilst those who are younger, males and those holding pro-environmental attitudes are also supportive of hydro and solar over gas and nuclear sources.

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  • Borriello, Antonio & Burke, Paul F. & Rose, John M., 2021. "If one goes up, another must come down: A latent class hybrid choice modelling approach for understanding electricity mix preferences among renewables and non-renewables," Energy Policy, Elsevier, vol. 159(C).
    • Handle: RePEc:eee:enepol:v:159:y:2021:i:c:s0301421521004778
    DOI: 10.1016/j.enpol.2021.112611
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    References listed on IDEAS

    as
    1. Kontogianni, Areti & Tourkolias, Christos & Skourtos, Michalis, 2013. "Renewables portfolio, individual preferences and social values towards RES technologies," Energy Policy, Elsevier, vol. 55(C), pages 467-476.
    2. Keirstead, James, 2007. "Behavioural responses to photovoltaic systems in the UK domestic sector," Energy Policy, Elsevier, vol. 35(8), pages 4128-4141, August.
    3. Yuehong Lu & Zafar A. Khan & Manuel S. Alvarez-Alvarado & Yang Zhang & Zhijia Huang & Muhammad Imran, 2020. "A Critical Review of Sustainable Energy Policies for the Promotion of Renewable Energy Sources," Sustainability, MDPI, vol. 12(12), pages 1-31, June.
    4. Thøgersen, John & Noblet, Caroline, 2012. "Does green consumerism increase the acceptance of wind power?," Energy Policy, Elsevier, vol. 51(C), pages 854-862.
    5. Gadenne, David & Sharma, Bishnu & Kerr, Don & Smith, Tim, 2011. "The influence of consumers' environmental beliefs and attitudes on energy saving behaviours," Energy Policy, Elsevier, vol. 39(12), pages 7684-7694.
    6. Chester, Lynne & Elliot, Amanda, 2019. "Energy problem representation: The historical and contemporary framing of Australian electricity policy," Energy Policy, Elsevier, vol. 128(C), pages 102-113.
    7. Walker, Joan & Ben-Akiva, Moshe, 2002. "Generalized random utility model," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 303-343, July.
    8. Parkins, John R. & Rollins, Curtis & Anders, Sven & Comeau, Louise, 2018. "Predicting intention to adopt solar technology in Canada: The role of knowledge, public engagement, and visibility," Energy Policy, Elsevier, vol. 114(C), pages 114-122.
    9. Zorić, Jelena & Hrovatin, Nevenka, 2012. "Household willingness to pay for green electricity in Slovenia," Energy Policy, Elsevier, vol. 47(C), pages 180-187.
    10. Scarpa, Riccardo & Rose, John M., 2008. "Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 1-30.
    11. Klaniecki, Kathleen & Duse, Ioana Alexandra & Lutz, Lotte M. & Leventon, Julia & Abson, David J., 2020. "Applying the energy cultures framework to understand energy systems in the context of rural sustainability transformation," Energy Policy, Elsevier, vol. 137(C).
    12. Marcel Paulssen & Dirk Temme & Akshay Vij & Joan Walker, 2014. "Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice," Transportation, Springer, vol. 41(4), pages 873-888, July.
    13. Zander, Kerstin K., 2020. "Unrealised opportunities for residential solar panels in Australia," Energy Policy, Elsevier, vol. 142(C).
    14. Yoo, James & Ready, Richard C., 2014. "Preference heterogeneity for renewable energy technology," Energy Economics, Elsevier, vol. 42(C), pages 101-114.
    15. Kosenius, Anna-Kaisa & Ollikainen, Markku, 2013. "Valuation of environmental and societal trade-offs of renewable energy sources," Energy Policy, Elsevier, vol. 62(C), pages 1148-1156.
    16. Johan Lilliestam & Anthony Patt, 2015. "Barriers, Risks and Policies for Renewables in the Gulf States," Energies, MDPI, vol. 8(8), pages 1-23, August.
    17. Jacquet, Jeffrey B., 2012. "Landowner attitudes toward natural gas and wind farm development in northern Pennsylvania," Energy Policy, Elsevier, vol. 50(C), pages 677-688.
    18. Ana Ramos & Xavier Labandeira & Andreas Löschel, 2016. "Pro-environmental Households and Energy Efficiency in Spain," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(2), pages 367-393, February.
    19. Sovacool, Benjamin K., 2009. "Rejecting renewables: The socio-technical impediments to renewable electricity in the United States," Energy Policy, Elsevier, vol. 37(11), pages 4500-4513, November.
    20. David Hensher & John Rose & William Greene, 2012. "Inferring attribute non-attendance from stated choice data: implications for willingness to pay estimates and a warning for stated choice experiment design," Transportation, Springer, vol. 39(2), pages 235-245, March.
    21. Ward, David O. & Clark, Christopher D. & Jensen, Kimberly L. & Yen, Steven T. & Russell, Clifford S., 2011. "Factors influencing willingness-to-pay for the ENERGY STAR® label," Energy Policy, Elsevier, vol. 39(3), pages 1450-1458, March.
    22. Ziegler, Andreas, 2019. "The Relevance of Attitudinal Factors for the Acceptance of Energy Policy Measures: A Micro-econometric Analysis," Ecological Economics, Elsevier, vol. 157(C), pages 129-140.
    23. Bidwell, David, 2013. "The role of values in public beliefs and attitudes towards commercial wind energy," Energy Policy, Elsevier, vol. 58(C), pages 189-199.
    24. Vij, Akshay & Walker, Joan L., 2016. "How, when and why integrated choice and latent variable models are latently useful," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 192-217.
    25. Chorus, Caspar G. & Kroesen, Maarten, 2014. "On the (im-)possibility of deriving transport policy implications from hybrid choice models," Transport Policy, Elsevier, vol. 36(C), pages 217-222.
    26. 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.
    27. Scarpa, Riccardo & Drucker, Adam G. & Anderson, Simon & Ferraes-Ehuan, Nancy & Gomez, Veronica & Risopatron, Carlos R. & Rubio-Leonel, Olga, 2003. "Valuing genetic resources in peasant economies: the case of 'hairless' creole pigs in Yucatan," Ecological Economics, Elsevier, vol. 45(3), pages 427-443, July.
    28. Midttun, Atle & Koefoed, Anne Louise, 2003. "Greening of electricity in Europe: challenges and developments," Energy Policy, Elsevier, vol. 31(7), pages 677-687, June.
    29. Hobman, Elizabeth V. & Ashworth, Peta, 2013. "Public support for energy sources and related technologies: The impact of simple information provision," Energy Policy, Elsevier, vol. 63(C), pages 862-869.
    30. Vishva Danthurebandara & Martina Vandebroek & Jie Yu, 2013. "Integrated mixed logit and latent variable models," Marketing Letters, Springer, vol. 24(3), pages 245-259, September.
    31. Cicia, Gianni & Cembalo, Luigi & Del Giudice, Teresa & Palladino, Andrea, 2012. "Fossil energy versus nuclear, wind, solar and agricultural biomass: Insights from an Italian national survey," Energy Policy, Elsevier, vol. 42(C), pages 59-66.
    32. Williams, Galina & Rolfe, John, 2017. "Willingness to pay for emissions reduction: Application of choice modeling under uncertainty and different management options," Energy Economics, Elsevier, vol. 62(C), pages 302-311.
    33. Komarek, Timothy M. & Lupi, Frank & Kaplowitz, Michael D., 2011. "Valuing energy policy attributes for environmental management: Choice experiment evidence from a research institution," Energy Policy, Elsevier, vol. 39(9), pages 5105-5115, September.
    34. Soliño, Mario & Farizo, Begoña A. & Vázquez, María X. & Prada, Albino, 2012. "Generating electricity with forest biomass: Consistency and payment timeframe effects in choice experiments," Energy Policy, Elsevier, vol. 41(C), pages 798-806.
    35. Karlstrøm, Henrik & Ryghaug, Marianne, 2014. "Public attitudes towards renewable energy technologies in Norway. The role of party preferences," Energy Policy, Elsevier, vol. 67(C), pages 656-663.
    36. Tabi, Andrea & Hille, Stefanie Lena & Wüstenhagen, Rolf, 2014. "What makes people seal the green power deal? — Customer segmentation based on choice experiment in Germany," Ecological Economics, Elsevier, vol. 107(C), pages 206-215.
    37. Wang, Yu & Gu, Jibao & Wu, Jianlin, 2020. "Explaining local residents’ acceptance of rebuilding nuclear power plants: The roles of perceived general benefit and perceived local benefit," Energy Policy, Elsevier, vol. 140(C).
    38. Hutchinson, J Wesley & Kamakura, Wagner A & Lynch, John G, Jr, 2000. "Unobserved Heterogeneity as an Alternative Explanation for "Reversal" Effects in Behavioral Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(3), pages 324-344, December.
    39. Kaenzig, Josef & Heinzle, Stefanie Lena & Wüstenhagen, Rolf, 2013. "Whatever the customer wants, the customer gets? Exploring the gap between consumer preferences and default electricity products in Germany," Energy Policy, Elsevier, vol. 53(C), pages 311-322.
    40. Aghdam, Reza Fathollahzadeh, 2011. "Dynamics of productivity change in the Australian electricity industry: Assessing the impacts of electricity reform," Energy Policy, Elsevier, vol. 39(6), pages 3281-3295, June.
    41. Mariel, Petr & Meyerhoff, Jürgen & Hess, Stephane, 2015. "Heterogeneous preferences toward landscape externalities of wind turbines – combining choices and attitudes in a hybrid model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 647-657.
    42. Ma, Chunbo & Burton, Michael, 2016. "Warm glow from green power: Evidence from Australian electricity consumers," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 106-120.
    43. Hall, Nina L. & Jeanneret, Talia D. & Rai, Alan, 2016. "Cost-reflective electricity pricing: Consumer preferences and perceptions," Energy Policy, Elsevier, vol. 95(C), pages 62-72.
    44. Ladenburg, Jacob & Dubgaard, Alex, 2007. "Willingness to pay for reduced visual disamenities from offshore wind farms in Denmark," Energy Policy, Elsevier, vol. 35(8), pages 4059-4071, August.
    45. Kaiqi Sun & Huangqing Xiao & Shengyuan Liu & Shutang You & Fan Yang & Yuqing Dong & Weikang Wang & Yilu Liu, 2020. "A Review of Clean Electricity Policies—From Countries to Utilities," Sustainability, MDPI, vol. 12(19), pages 1-22, September.
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