Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application

Antara Sen; Amii R. Harwood; Ian J. Bateman; Paul Munday; Andrew Crowe; Luke Brander; Jibonayan Raychaudhuri; Andrew A. Lovett; Jo Foden; Allan Provins

doi:10.1007/s10640-013-9666-7

Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application

Antara Sen^*, Amii R. Harwood, Ian J. Bateman, Paul Munday, Andrew Crowe, Luke Brander, Jibonayan Raychaudhuri, Andrew A. Lovett, Jo Foden, Allan Provins

^*Corresponding author for this work

Environmental Economics

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

We present a novel methodology for spatially sensitive prediction of outdoor recreation visits and values for different ecosystems. Data on outset and destination characteristics and locations are combined with survey information from over 40,000 households to yield a trip generation function (TGF) predicting visit numbers. A new meta-analysis (MA) of relevant literature is used to predict site specific per-visit values. Combining the TGF and MA models permits spatially explicit estimation of visit numbers and values under present and potential future land use. Applications to the various land use scenarios of the UK National Ecosystem Assessment, as well as to a single site, are presented.

Original language	English
Pages (from-to)	233-249
Number of pages	17
Journal	Environmental and Resource Economics
Volume	57
Issue number	2
DOIs	https://doi.org/10.1007/s10640-013-9666-7
Publication status	Published - 2014

Keywords

Ecosystem services
Meta-analysis
Recreation
Recreational value
Spatially sensitive
UK National Ecosystem Assessment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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abstract = "We present a novel methodology for spatially sensitive prediction of outdoor recreation visits and values for different ecosystems. Data on outset and destination characteristics and locations are combined with survey information from over 40,000 households to yield a trip generation function (TGF) predicting visit numbers. A new meta-analysis (MA) of relevant literature is used to predict site specific per-visit values. Combining the TGF and MA models permits spatially explicit estimation of visit numbers and values under present and potential future land use. Applications to the various land use scenarios of the UK National Ecosystem Assessment, as well as to a single site, are presented.",

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AU - Sen, Antara

AU - Harwood, Amii R.

AU - Bateman, Ian J.

AU - Munday, Paul

AU - Crowe, Andrew

AU - Brander, Luke

AU - Raychaudhuri, Jibonayan

AU - Lovett, Andrew A.

AU - Foden, Jo

AU - Provins, Allan

PY - 2014

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AB - We present a novel methodology for spatially sensitive prediction of outdoor recreation visits and values for different ecosystems. Data on outset and destination characteristics and locations are combined with survey information from over 40,000 households to yield a trip generation function (TGF) predicting visit numbers. A new meta-analysis (MA) of relevant literature is used to predict site specific per-visit values. Combining the TGF and MA models permits spatially explicit estimation of visit numbers and values under present and potential future land use. Applications to the various land use scenarios of the UK National Ecosystem Assessment, as well as to a single site, are presented.

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KW - Meta-analysis

KW - Recreation

KW - Recreational value

KW - Spatially sensitive

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Economic Assessment of the Recreational Value of Ecosystems: Methodological Development and National and Local Application

Abstract

Keywords

UN SDGs

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