Flexible customer willingness to pay for bundled smart home energy products and services
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DOI: 10.1016/j.reseneeco.2020.101175
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Cited by:
- Fang, Debin & Wang, Pengyu, 2023. "Optimal real-time pricing and electricity package by retail electric providers based on social learning," Energy Economics, Elsevier, vol. 117(C).
- Hye-Jeong Lee & Beom Jin Chung & Sung-Yoon Huh, 2023. "Consumer Preferences for Smart Energy Services Based on AMI Data in the Power Sector," Energies, MDPI, vol. 16(9), pages 1-20, May.
- Schueftan, Alejandra & Aravena, Claudia & Reyes, René, 2021. "Financing energy efficiency retrofits in Chilean households: The role of financial instruments, savings and uncertainty in energy transition," Resource and Energy Economics, Elsevier, vol. 66(C).
- Gonçalves, Luisa & Patrício, Lia, 2022. "From smart technologies to value cocreation and customer engagement with smart energy services," Energy Policy, Elsevier, vol. 170(C).
- Ciarreta, Aitor & Espinosa, Maria Paz & Pizarro-Irizar, Cristina, 2023. "Pricing policies for efficient demand side management in liberalized electricity markets," Economic Modelling, Elsevier, vol. 121(C).
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More about this item
Keywords
Discrete choice; Seminonparametrics; Willingness to pay; Logit-mixed logit; Smart energy packages; New energy markets;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
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