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Research Articles

How much are Canadians willing to pay for clean surface and ground water? A meta-analysis of the Canadian non-market valuation literature

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Pages 207-228 | Received 23 Jul 2020, Accepted 24 Aug 2021, Published online: 28 Sep 2021
 

Abstract

Three decades of non-market water quality valuation (NMWQV) studies in Canada are analyzed to generate a generic benefits transfer function. Contrary to the large valuation literature focusing on water and wilderness-based recreation in Canada, the number of studies related to water quality is limited. NMWQV studies lack a common design, including consistent adherence to a Canada-specific water quality ladder (WQL). Despite the high degree of data heterogeneity, values extracted from the literature show an increasing step function when relating them to the Resources for the Future WQL. Meta-regression models (MRMs) explain a large share of the variation in value estimates based on the type of water resources, population and methodological characteristics. Baseline water quality and the size of the water quality change are significant determinants of the estimated non-market values. With a relative mean prediction error of no more than 20 percent, the predictive power of the estimated MRMs is high. As such, they are an important step forward in the development of a policy-relevant water quality valuation model. However, there is a clear need for the development of more coherent non-market valuation guidelines in the Canadian water context.

RÉSUMÉ

Trois décennies d'études d'évaluation de la qualité de l'eau non marchande (EQENM) au Canada sont analysées pour générer une fonction générique de transfert des avantages. Contrairement à la vaste littérature d'évaluation en se concentrant sur l’eau et la recréation sauvage au Canada, le nombre d'études liées à la qualité de l'eau est limité. Les études de EQENM manquent de conception commune, y compris la adhésion constant d'une échelle de qualité de l'eau (EQL) spécifique au Canada. Malgré le degré élevé d'hétérogénéité des données, les valeurs extraites de la littérature montrent une fonction échelon croissante lorsqu'elles sont liées aux EQL des Ressources pour le Futur. Les modèles de la méta-régression (MMR) expliquent une grande partie de la variation des estimations de valeur en fonction du type des ressources hydriques, de la population et des caractéristiques méthodologiques. La qualité de l'eau de référence et la taille du changement de qualité de l'eau sont des déterminants significatifs des valeurs non marchandes estimées. Avec une erreur de prédiction moyenne relative ne dépassant pas 20 pourcent, le pouvoir prédictif des MMR estimés est élevé. En tant que tels, ils constituent un pas important dans le développement d'un modèle d'évaluation de la qualité de l'eau pertinent pour les politiques. Cependant, il est clairement nécessaire d'élaborer des lignes directrices plus cohérentes pour l'évaluation non marchande dans le contexte canadien de l’eau.

Acknowledgements

The authors gratefully acknowledge the support and valuable feedback received from Environment and Climate Change Canada’s Regulatory Analysis and Valuation Division.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1 The 25 Canadian drainage basins are based on Statistics Canada, Environment, Energy and Transportation Statistics Division 2009, special tabulation of data from Pearse, P.H., F. Bertrand and J.W. MacLaren, 1985, Currents of Change: Final Report of the Inquiry on Federal Water Policy, Environment Canada, Ottawa (accessible at: https://www150.statcan.gc.ca/n1/pub/16-201-x/2017000/sec-1/m-c/m-c-1.1-eng.htm)

2 The map of Canada's provinces is based on Statistics Canada 2017. Boundary Files, Reference Guide Census year 2016. (accessible at: https://www12.statcan.gc.ca/census-recensement/2011/geo/bound-limit/bound-limit-2016-eng.cfm)

3 The map of the major waterbodies is based on Government of Canada; Natural Resources Canada; Earth Sciences Sector 2017. Waterbodies in Canada, CanVec – Hydro Features 15M. (accessible at: https://open.canada.ca/data/en/dataset/9d96e8c9-22fe-4ad2-b5e8-94a6991b744b)

Additional information

Funding

This study was carried out as part of the project ‘Valuing Canada’s Water Resources and Aquatic Ecosystem Services’ funded by Global Water Futures under the Canada First Research Excellence Fund.

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