Willingness to pay for green power in an unreliable electricity sector: Part 1. The case of the Lebanese residential sector

dc.contributor.authorDagher, Leila
dc.contributor.authorHarajli, Hassan A.
dc.contributor.departmentDepartment of Economics
dc.contributor.facultyFaculty of Arts and Sciences (FAS)
dc.contributor.institutionAmerican University of Beirut
dc.date.accessioned2025-01-24T11:23:13Z
dc.date.available2025-01-24T11:23:13Z
dc.date.issued2015
dc.description.abstractA willingness to pay (WTP) analysis for renewable-based electricity is undertaken for the Lebanese residential sector. A survey of 600 samples was conducted based on a stratified random sampling method, in which energy use and expenditures, socioeconomic, and demographic characteristics were collected. Four scenarios for WTP for green power were designed to best reflect the possibilities of integrating renewable energy (RE) sources in Lebanon׳s ‘unreliable’ electricity sector; (1) local system covering partial electricity needs, (2) local system covering entire electricity needs, (3) utility-provided green power covering partial electricity needs, and (4) utility-provided green power covering entire electricity needs. The results based on a Tobit model highlight the importance of RE options that displace completely the diesel generator sets, i.e. options 2 and 4. Other parameters such as ownership of the home, age, perception of trust in government institutions, and awareness of RE were also found significant in influencing WTP. © 2015 Elsevier Ltd
dc.identifier.doihttps://doi.org/10.1016/j.rser.2015.04.162
dc.identifier.eid2-s2.0-84929430950
dc.identifier.urihttp://hdl.handle.net/10938/25639
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofRenewable and Sustainable Energy Reviews
dc.sourceScopus
dc.subjectGreen power
dc.subjectLebanon
dc.subjectRenewable energy
dc.subjectWillingness-to-pay
dc.subjectEconomics
dc.subjectHousing
dc.subjectElectricity sector
dc.subjectEnergy expenditure
dc.subjectLocal system
dc.subjectRandom sampling method
dc.subjectRenewable energies
dc.subjectResidential sectors
dc.subjectStratified random sampling
dc.subjectWillingness to pay
dc.subjectEnergy utilization
dc.titleWillingness to pay for green power in an unreliable electricity sector: Part 1. The case of the Lebanese residential sector
dc.typeReview

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