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DOI10.1016/j.enpol.2021.112611
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
Borriello A.; Burke P.F.; Rose J.M.
发表日期2021
ISSN0301-4215
卷号159
英文摘要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. © 2021 Elsevier Ltd
英文关键词Australia; Discrete choice experiment; Energy mix; Hybrid choice model; Preference; Willingness to pay
语种英语
scopus关键词Electric power generation; Australia; Choice model; Discrete choice experiments; Electricity-generation; Energy mix; Hybrid choice model; Latent class; Preference; Renewables; Willingness to pay; Renewable energy resources; alternative energy; biomass; discrete choice analysis; electricity generation; energy policy; willingness to pay; Australia
来源期刊Energy Policy
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/256512
作者单位Centre for Business Intelligence and Data Analytics (BIDA), Australia; Department of Marketing, UTS Business School, University of Technology Sydney (UTS), 14-28 Ultimo Rd, Ultimo, NSW 2007, Australia
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Borriello A.,Burke P.F.,Rose J.M.. 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[J],2021,159.
APA Borriello A.,Burke P.F.,&Rose J.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,159.
MLA Borriello A.,et al."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 159(2021).
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