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Multi-country Willingness to Pay for Transborder Migratory Species Conservation: A Case Study of Northern Pintails

Michelle A. Haefele, John B. Loomis, Aaron M. Lien, James A. Dubovsky, Robert W. Merideth, Kenneth J. Bagstad, Ta-Ken Huang, Brady J. Mattsson, Darius J. Semmens, Wayne E. Thogmartin, Ruscena Wiederholt, Jay E. Diffendorfer and López-Hoffman, Laura

Ecological Economics, 2019, vol. 157, issue C, 321-331

Abstract: Using contingent valuation, we estimated willingness to pay (WTP) in Canada, Mexico, and the United States to protect habitat for Northern Pintails (hereafter pintails), a migratory waterfowl species that provides benefits to and requires habitat in the three countries. Our study contributes to research on spatial subsidies by measuring the value of migratory species habitat. While WTP to protect pintail habitat is highest in the household's own country, there also is substantial WTP to protect pintail habitat in the other two countries. Canadian households' annual WTP is US$12 (all dollar values are in 2016 US dollars) to stabilize the pintail population in Canada, US$4 in Mexico, and US$5 in the U.S. Mexican households would pay US$8 in Mexico, US$5 in the U.S., and US$5 in Canada. U.S. households would pay US$28 in the U.S., US$18 in Canada, and US$16 in Mexico. WTP is statistically significantly higher in all three countries to increase the pintail population. WTP as a percentage of household income is statistically significantly higher for respondents in Mexico. WTP is logically related to explanatory variables such as respondent income, interest in hunting waterfowl, and financial support of wildlife conservation organizations. This study has important implications for conducting economic analyses of habitat issues of transboundary migratory species' conservation and to more effectively and equitably achieve conservation goals.

Keywords: Canada; Contingent valuation; Ducks; Habitat; Mexico; Pintails; United States; Waterfowl; Willingness to pay (search for similar items in EconPapers)
Date: 2019
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