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A field experiment to estimate the effects of anchoring and framing on residents’ willingness to purchase water runoff management technologies
Institution:1. Department of Food, Agricultural and Resource Economics, University of Guelph, 50 Stone Road East, Guelph, Ontario N1G 2W1, Canada;2. Dipodomys Insight, 314 W Summit Ave., Wilmington, DE 19804, Formerly US Department of Agriculture, Economic Research Service, United States;3. Department of Applied Economics and Statistics, University of Delaware, United States;4. Carey Business School and the Department of Environmental Health and Engineering, a joint department of the Bloomberg School of Public Health and the Whiting School of Engineering, Johns Hopkins University, United States
Abstract:Watersheds throughout the world have been severely polluted by nutrient-laden runoff that comes from industrial, agricultural, and residential sources. Efforts to reduce this runoff have focused on industrial and agricultural sources, while little attention has been paid to encouraging residents to reduce runoff from their properties. To study residents’ willingness to adopt landscaping practices that reduce runoff, we conducted a field experiment in the Delaware River watershed. In the experiment, over three hundred adults participated in a series of random-price auctions that revealed their willingness to pay (WTP) for five products that reduce nutrient runoff. To study how WTP can be influenced by attributes of the choice architecture, we randomized the starting bid values (anchors) and the way in which the external benefits of the five practices were framed. Compared to a neutral framing, a positive framing (using the product can improve water quality) increased average WTP by about one-third, while the estimated effect of a negative framing (failing to use the product can worsen water quality) was also positive, but smaller and not statistically different from zero. The estimated effect on average WTP from the anchor depends on how bids of $0 are modeled, but the results imply that higher anchors lead to higher WTP. Although we believe the magnitudes of our results should be considered suggestive and we recommend replications with higher statistical power, the results add to the evidence base that environmental programs can achieve policy-relevant gains in program performance through a series of small changes to the decision environment.
Keywords:Behavioral economics  Nudge  Preference stability  Preference consistency  Default  Starting bid  Nitrogen  Phosphorus
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