Published July 2012 | Version v1
Journal article

Environmental pricing of externalities from different sources of electricity generation in Chile

  • 1. Department of Economics, Trinity College Dublin, Arts Building, Dublin 2 (Ireland)
  • 2. Gibson Institute for Land, Food and the Environment, School of Biological Sciences, Queen's University Belfast, Medical Biological Centre, 97 Lisburn Road, Belfast BT9 7BL (United Kingdom)
  • 3. Institute for a Sustainable World, Queen's University Belfast (United Kingdom)
  • 4. UKCRC Centre of Excellence for Public Health (Nicaragua), Queen's University Belfast (United Kingdom)

Description

The rapid increase in electricity demand in Chile means a choice must be made between major investments in renewable or non-renewable sources for additional production. Current projects to develop large dams for hydropower in Chilean Patagonia impose an environmental price by damaging the natural environment. On the other hand, the increased use of fossil fuels entails an environmental price in terms of air pollution and greenhouse gas emissions contributing to climate change. This paper studies the debate on future electricity supply in Chile by investigating the preferences of households for a variety of different sources of electricity generation such as fossil fuels, large hydropower in Chilean Patagonia and other renewable energy sources. Using Double Bounded Dichotomous Choice Contingent Valuation, a novel advanced disclosure method and internal consistency test are used to elicit the willingness to pay for less environmentally damaging sources. Policy results suggest a strong preference for renewable energy sources with higher environmental prices imposed by consumers on electricity generated from fossil fuels than from large dams in Chilean Patagonia. Policy results further suggest the possibility of introducing incentives for renewable energy developments that would be supported by consumers through green tariffs or environmental premiums. Methodological findings suggest that advanced disclosure learning overcomes the problem of internal inconsistency in SB-DB estimates.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.eneco.2011.11.004

Additional details

Identifiers

DOI
10.1016/j.eneco.2011.11.004;
PII
S0140-9883(11)00278-7;

Publishing Information

Journal Title
Energy Economics
Journal Volume
34
Journal Issue
4
Journal Page Range
p. 1214-1225
ISSN
0140-9883
CODEN
EECODR

Optional Information

Copyright
Copyright (c) 2011 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.