DocumentCode :
552833
Title :
Objective and subjective measures of willingness to pay for Green Electricity: Do they measure the same? Evidence from a South African case
Author :
Chan, Kai-Ying A. ; Oerlemans, Leon A G ; Volschenk, Jako ; Oliver, Henry
Author_Institution :
Grad. Sch. of Technol. Manage., Univ. of Pretoria, Pretoria, South Africa
fYear :
2011
fDate :
July 31 2011-Aug. 4 2011
Firstpage :
1
Lastpage :
9
Abstract :
A historic first step regarding Green Energy usage in Cape Town, South Africa, was taken in March 2010. The residents of Cape Town now have the opportunity to buy green electricity from the city. However, the actual experience of renewable energy (Green Electricity (GE)) is new to many residents, especially in a developing country such as South Africa. For policy and feasibility purposes it is relevant to know how much extra users are willing to pay for this energy source. Therefore, this research investigates the relationship between residents´ attitudes towards the environment and their willingness to pay. For this, subjective and objective measures of willingness to pay extra for GE are distinguished. Data from 405 residents was collected using questionnaire surveys. Multivariate analysis using OLS regression was performed and showed that positive attitudes towards the environment increased the residents´ willingness to pay extra for GE (subjective measure). However, these environmental attitudes do not influence the maximum amount in ZAR that the residents are willing to pay extra (objective measure); monthly income plays the most significant role in this scenario. The findings in this research show on the one hand that predicting the willingness to pay extra for GE seems to depend on the type of measure applied. On the other hand, these findings indicate that policy makers should be careful using specific measures of willingness to pay when assessing the feasibility of the introduction of GE.
Keywords :
government policies; regression analysis; renewable energy sources; GE; OLS regression analysis; South African; WTP; ZAR; green electricity; green energy; multivariate analysis; policy maker; renewable energy source; willingness to pay; Air pollution; Cities and towns; Coal; Electricity; Green products; Production; Renewable energy resources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technology Management in the Energy Smart World (PICMET), 2011 Proceedings of PICMET '11:
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4577-1552-5
Electronic_ISBN :
978-1-890843-24-3
Type :
conf
Filename :
6017886
Link To Document :
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