{"title":"How Sensitive are Spatial Estimates\nof Wilderness Recreation Values to\nInformation about Hiking\nDestinations?","authors":"José J. Sánchez, K. Baerenklau, A. González‐Cabán","doi":"10.1561/112.00000447","DOIUrl":null,"url":null,"abstract":"This study uses individual survey data to investigate the impact of information about hiking destinations on estimated wilderness values in a spatial context. The data is derived from a revealed preference survey of backcountry visitors who responded to questions about their recreation behavior in the San Jacinto Wilderness of southern California. Two GIS data layers are developed showing spatial representations of non-market values derived from a Kuhn- Tucker demand model, with and without destination information. Each pixel in each data layer contains an estimate of the recreation value at that location. The destination data provides more detailed information on recreation behavior that can be used to more accurately allocate the landscape values. Results show that including destination information produces significantly greater heterogeneity in parcel value estimates for large areas of the wilderness.","PeriodicalId":54831,"journal":{"name":"Journal of Forest Economics","volume":"1 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2020-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Forest Economics","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1561/112.00000447","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
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Abstract
This study uses individual survey data to investigate the impact of information about hiking destinations on estimated wilderness values in a spatial context. The data is derived from a revealed preference survey of backcountry visitors who responded to questions about their recreation behavior in the San Jacinto Wilderness of southern California. Two GIS data layers are developed showing spatial representations of non-market values derived from a Kuhn- Tucker demand model, with and without destination information. Each pixel in each data layer contains an estimate of the recreation value at that location. The destination data provides more detailed information on recreation behavior that can be used to more accurately allocate the landscape values. Results show that including destination information produces significantly greater heterogeneity in parcel value estimates for large areas of the wilderness.
期刊介绍：
The journal covers all aspects of forest economics, and publishes scientific papers in subject areas such as the following:
forest management problems: economics of silviculture, forest regulation and operational activities, managerial economics;
forest industry analysis: economics of processing, industrial organization problems, demand and supply analysis, technological change, international trade of forest products;
multiple use of forests: valuation of non-market priced goods and services, cost-benefit analysis of environment and timber production, external effects of forestry and forest industry;
forest policy analysis: market and intervention failures, regulation of forest management, ownership, taxation;
land use and economic development: deforestation and land use problem, national resource accounting, contribution to national and regional income and employment.
forestry and climate change: using forestry to mitigate climate change, economic analysis of bioenergy, adaption of forestry to climate change.
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