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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

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  • Silvia Banfi
  • Massimo Filippini
  • Andrea Horehájová

Abstract

Traffic noise, air pollution and electromagnetic pollution (i.e. nonionizing radiation, also called electrosmog) are typical negative local externalities in urban areas. They are side effects of human and economic activities (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 and protests. The view of an antenna is annoying an increasing number of inhabitants. In this article, the stated Choice Experiment (CE) is used to estimate the Willingness To Pay (WTP) residents in the cities of Zurich and Lugano place on the reduction of these three environmental loads. Estimation results reveal that there is a positive and significant WTP for a reduction of air pollution and traffic noise levels to those limit values fixed by the government. Respondents also show WTP for reducing electrosmog and removing mobile phone antennas from their view, however to a lesser extent. In addition, this is the first study that estimates the benefit of a reduction of electrosmog using a CE.

Suggested Citation

  • Silvia Banfi & Massimo Filippini & Andrea Horehájová, 2012. "Using a choice experiment to estimate the benefits of a reduction of externalities in urban areas with special focus on electrosmog," Applied Economics, Taylor & Francis Journals, vol. 44(3), pages 387-397, January.
    • Handle: RePEc:taf:applec:44:y:2012:i:3:p:387-397
    DOI: 10.1080/00036846.2010.508724
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    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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