2011
DOI: 10.1080/00036846.2010.508724
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Using a choice experiment to estimate the benefits of a reduction of externalities in urban areas with special focus on electrosmog

Abstract: Traffic noise, air pollution and electromagnetic pollution (i.e. non-ionizing radiation, also called electrosmog) are typical negative local externalities in urban areas. They are side-effects of human and economic activity (e.g. road transport, telecommunication) and they affect individuals' well-being negatively without compensation. In recent years, the increased number of mobile phone antennas in residential areas, and thus the increased intensity of radiated power, has aroused public concern, discussions … Show more

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Cited by 15 publications
(9 citation statements)
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“…Usually, the CV method is applied to a single-attribute good while the CE method is applied to a multi-attribute good. Therefore, the CE method is more suitable for valuing a multi-attribute good than the CV method [21][22][23][24][25]. The CE approach is theoretically grounded in the random utility maximization model.…”
Section: Method: Cementioning
confidence: 99%
“…Usually, the CV method is applied to a single-attribute good while the CE method is applied to a multi-attribute good. Therefore, the CE method is more suitable for valuing a multi-attribute good than the CV method [21][22][23][24][25]. The CE approach is theoretically grounded in the random utility maximization model.…”
Section: Method: Cementioning
confidence: 99%
“…The CE method asks respondents to evaluate value trade-offs among some attributes and indirectly derives their willingness to pay (WTP). Usually, the CV method is applied to a single-attribute good while the CE method is applied to a multi-attribute good [24][25][26][27][28]. The CE approach is theoretically grounded in the random utility maximization model.…”
Section: Method: Cementioning
confidence: 99%
“…From the literature review, the authors decided to employ a choice experiment (CE) approach to carry out the investigation. The CE technique has been widely utilized in valuing a non-market good with multiple attributes [17][18][19][20][21][22][23][24][25].…”
Section: Introductionmentioning
confidence: 99%