Garces-Voisenat, Juan-Pedro and Mukherjee, Zinnia (2012): Estimating the willingness to pay for environmental resources in the Chilean Patagonia.
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Abstract
In this paper we assess, through contingent valuation surveys, the willingness to pay (WTP) of the population for more environment-friendly sources of energy, in the context of the proposed construction of big hydroelectric dams in the Chilean Patagonia region. We use two different data samples constructed from the survey responses: (1) A sample of Chileans currently living in Chile. These are individuals who will be receiving the economic benefits that will stem from hydroelectric dams constructed in Patagonia. Their WTP reflects the “user value” of the resource to Chileans. (2) A sample of non-Chileans or Chileans living outside Chile. Their WTP reflects the “existence value” of the natural environment in Patagonia and the expected amount people are willing to pay to protect its pristine conditions. We identify the key determinants that affect the WTP estimates. We then compare this to the real costs of generating electricity with the different currently available technologies. The WTP estimate from sample 1 would provide the Chilean governments a numerical value of the contributions Chilean residents are willing to make to protect the natural environment in Patagonia. The estimate from sample 2 will indicate the contribution that the rest of the world is willing to make in order to preserve unique natural environments and wildlife in remote places of the globe. Overall, it should be a good guide for policymaking in energy matters for developing countries.
Item Type: | MPRA Paper |
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Original Title: | Estimating the willingness to pay for environmental resources in the Chilean Patagonia |
Language: | English |
Keywords: | Energy, Environment, Sustainable Development, Chile, Patagonia |
Subjects: | O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q2 - Renewable Resources and Conservation Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy |
Item ID: | 39320 |
Depositing User: | Juan-Pedro Garces-Voisenat |
Date Deposited: | 12 Jun 2012 15:24 |
Last Modified: | 29 Sep 2019 04:35 |
References: | Aparicio, H. (2010). Expresiones socio-culturales y practicas económicas arraigadas en la identidad local. Universidad de Concepcion. Blomquist, G. & Whitehead, J. (1998). Resource Quality Information and Validity of Willingness to Pay in Contingent Valuation. Resource and Energy Economics, 20, 179-196. CADE (2011). Comision Asesora para el Desarrollo Electrico. Cameron, T., & Englin, J. (1997). Respondent Experience and Contingent Valuation of Environmental Goods. Journal of Environmental Economics and Management, 33(3), 296-313. Cameron, T. and James, M. (1986). The Determinants of Value for a Recreational Fishing Day: Estimates from a Contingent Valuation Survey. Discussion Paper #405, Department of Economics, University of California, Los Angeles. Carlsson, F. & Johansson-Stenman, O. (2000). Willingness to Pay for Improved Air Quality in Sweden. Applied Economics, 32(6), 661-69. Carson, R. and Mitchell, R. (1993). The Value of clean water: The public's willingness to pay for boatable, fishable, and swimmable quality water. Water Resources Research, 29(7), 24-25. CCTP (2011). Chile necesita una gran reforma energética. Energy Information Administration (2011). Annual Energy Oulook 2011. Fearnside, P. M. (2004). Greenhouse gas emissions from hydroelectric dams: controversies provide a springboard for rethinking a supposedly “clean”energy source. An editorial comment. Climatic Change, 66(1), 1–8. Haines, A., Smith, K., Anderson, D., Epstein, P., McMichael, A., Roberts, I., Wilkinson, P., Woodcock, J., & Woods, J. (2007). Policies for accelerating access to clean energy, improving health, advancing development, and mitigating climatic change. The Lancet, 370(9594), 1264-1281. Hidroaysen. (n.d.). Retrieved May 26, 2012, from http://www.hidroaysen.cl/ Hoehn, J. & Randall, A. (2002) The Effect of Resource Quality Information on Resource Injury Perceptions and Contingent Values. Resource and Energy Economics, 24, 13-33. Kamat, P. V. (2007). Meeting the Clean Energy Demand: Nanostructure Architectures for Solar Energy Conversion. Journal of Physical Chemistry C, 111(7), 2834–2860. doi:10.1021/jp066952u Kennedy, D. (2009). Alternative Sources of Energy. Lahsen, A., Sepúlveda, F., Rojas, J., & Palacios, C. (2005). Present Status of Geothermal Exploration in Chile. Universidad de Chile, Departamento de Geologia and Empresa Nacional del Petroleo (ENAP). McLeod, D. & Bergland, O. (1999). Willingness to pay estimates using the double bounded dichotomous choice contingent valuation format: a test for validity and precision in a Bayesian framework. Land Economics, 75(1), 115-125. Ministerio de Energia Chile (n.d.). Antecedentes sobre la matriz energética en Chile y sus desafíos para el futuro. Retrieved May 26, 2012, from http://www.minenergia.cl/ Oyarzun, E. (2008). Familia. Pontt, J. (2008). Potencial de biomasa en Chile. Universidad Tecnica Federico Santa Maria. Turpie, J. (2003). The existence value of biodiversity in South Africa: how interest, experience, knowledge, income and perceived level of threat influence local willingness to pay. Ecological Economics, 46(2), 199 – 216. Valdivia, R. (2011). La otra cara de Hidroaysén. Retrieved May 31, 2012, from http://www.centralenergia.cl/2011/05/26/la-otra-cara-de-hidroaysen/ Valgesta Energia (2011). Impacto de las energías renovables en la operación del sistema. Vassanadumrongdee, S. & Matsuoka, S. (2005). Risk perceptions and the value of statistical life for air pollution and traffic accidents: evidence from Bangkok, Thailand. Journal of Risk and Uncertainty, 30 (3), 261–287. Whitehead, J. (1995). Willingness to Pay for Quality Changes: Comparative Statics and Theoretical Interpretations of Empirical Results,” Land Economics, 71, 207-215. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/39320 |