Effect of Distance on the Preservation Value of Water Quality

Sutherland, R.J.; Walsh, Richard

doi:10.2307/3145843

Cited by 198 publications

(111 citation statements)

References 19 publications

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“…The focus of this study is the value of protecting unimpaired aquatic systems, where the policy action (e.g., forest conservation) would help dampen an increase in pollution due to factors like population growth [68] or increased mining activity [44,51]. Valuing unimpaired aquatic systems is important in establishing a baseline for understanding the potential economic benefits of preventing nutrient pollution as well as support for various kinds of forest-related water resource protection programs [22].…”

Section: Meta-analysis and Benefit Transfer Methodsmentioning

confidence: 99%

“…These studies focus on valuing the benefits or outcomes of resource protection and WTP to protect water quality independent of detailed information regarding the policy process or make vague references to policy implementation techniques [27,44,[47][48][49]. In a few cases the primary purpose of a valuation study is not to directly provide policy makers with information on measures of discrete welfare outcomes to different management alternatives, but to empirically test different stated preference methods or the effect of biophysical factors on WTP [50,51].…”

Section: Valuing Water Qualitymentioning

confidence: 99%

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The Value of Forest Conservation for Water Quality Protection

Kreye

Adams

Escobedo

2014

Forests

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Abstract:Forests protect water quality by reducing soil erosion, sedimentation, and pollution; yet there is little information about the economic value of conserving forests for water quality protection in much of the United States. To assess this value, we conducted a meta-analysis of willingness-to-pay (WTP) for protecting unimpaired waters, and econometrically determined several significant drivers of WTP: type of conservation instrument (tool), aquatic resource type, geographic context, spatial scale, time, and household income. Using a benefit transfer to two highly forested sites, we illustrate the importance of these factors on WTP for water quality protection programs, forest conservation and policy design.

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Section: Meta-analysis and Benefit Transfer Methodsmentioning

confidence: 99%

Section: Valuing Water Qualitymentioning

confidence: 99%

The Value of Forest Conservation for Water Quality Protection

Kreye

Adams

Escobedo

2014

Forests

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“…This expectation takes the point of origin first described by Sutherland and Walsh [60] who find that WTP for river quality is a function of the visit rate to the river. The authors find that the visit rate decreases with the distance to the river.…”

Section: Distance To a Proposed Wind Projectmentioning

confidence: 99%

How Spatial Relationships Influence Economic Preferences for Wind Power—A Review

Knapp

Ladenburg²

2015

Energies

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An increasing number of studies in the environmental and resource economic literature suggest that preferences for changes or improvements in environmental amenities, from water quality to recreation, are spatially heterogeneous. One of these effects in particular, distance decay, suggests that respondents exhibit a higher willingness to pay (WTP) the closer they live to a proposed environmental improvement and vice versa. The importance of spatial effects cannot be underestimated. Several of these studies find significant biases in aggregate WTP values, and therefore social welfare, from models that disregard spatial factors. This relationship between spatial aspects and preferences, however, remains largely ignored in the non-market valuation literature applied to valuing preferences for renewable energy, generally, and wind power, specifically. To our knowledge, fourteen peer-reviewed studies have been conducted to estimate stated preferences (SP) for onshore and/or offshore wind development, yet less than half of those utilize any measure to account for the relationship between spatial effects and preferences. Fewer still undertake more robust measures that account for these spatially dependent relationships, such as via GIS, outside incorporating a single 'distance' attribute within the choice experiment (CE) referenda. This paper first reviews the methodologies of the SP wind valuation studies that have integrated measure(s) to account for spatial effects. We then categorize these effects into three dimensions-distance to a proposed wind project, distance to existing wind project(s), and cumulative effects-supporting each with a discussion of significant findings, including those OPEN ACCESSEnergies 2015, 8 6178 found in the wind hedonic and acceptance literature. Policy implications that can be leveraged to maximize social welfare when siting future wind projects as well as recommendations for additional research to control for preference spatial heterogeneity in wind CEs are also posited.

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“…Distance is hence expected to have a negative effect, which reflects that WTP decreases with distance. This pattern is known as distance-decay (Sutherland and Walsh, 1985). In this study, we control for heterogeneity in distance-decay across respondents.…”

Section: Modelling Approachmentioning

confidence: 99%

Testing geographical framing and substitution effects in spatial choice experiments

Schaafsma

Brouwer

2013

Journal of Choice Modelling

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a b s t r a c tOne of the main challenges in modelling spatial choices is the complexity resulting from the availability of multiple alternatives at different geographical scales. This study aims to test geographical framing and substitution effects in stated choice experiments by first increasing and subsequently reducing the geographical scale and associated set of choice alternatives in the experiment. Geographical framing effects are tested by comparing estimated choice models for differently sized choice sets. Testing these framing effects related to choice set size helps to inform decisions on choice set composition. The results indicate that changing the choice set size has little to no effect on preference parameters and estimated WTP values. However, the larger choice set is associated with higher error variance, suggesting higher choice task complexity.Crown

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Effect of Distance on the Preservation Value of Water Quality

Cited by 198 publications

References 19 publications

The Value of Forest Conservation for Water Quality Protection

The Value of Forest Conservation for Water Quality Protection

How Spatial Relationships Influence Economic Preferences for Wind Power—A Review

Testing geographical framing and substitution effects in spatial choice experiments

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