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

被引：45

作者：

Sen, Antara ^{[1
]}

Harwood, Amii R. ^{[1
]}

Bateman, Ian J. ^{[1
]}

Munday, Paul ^{[1
]}

Crowe, Andrew ^{[2
]}

Brander, Luke ^{[3
,4
]}

Raychaudhuri, Jibonayan ^{[5
]}

Lovett, Andrew A. ^{[1
]}

Foden, Jo ^{[6
]}

Provins, Allan ^{[7
]}

机构：

[1] Univ E Anglia, Sch Environm Sci, CSERGE, Norwich NR4 7TJ, Norfolk, England

[2] Food & Environm Res Agcy, York, N Yorkshire, England

[3] Hong Kong Univ Sci & Technol, Div Environm, Kowloon, Hong Kong, Peoples R China

[4] Vrije Univ Amsterdam, Inst Environm Studies, Amsterdam, Netherlands

[5] Univ E Anglia, Sch Econ, Norwich NR4 7TJ, Norfolk, England

[6] Ctr Environm Fisheries & Aquaculture Sci, Lowestoft, Suffolk, England

[7] Econ Environm Consultancy Eftec, London, England

来源：

ENVIRONMENTAL & RESOURCE ECONOMICS | 2014年 / 57卷 / 02期

关键词：

Recreation; Recreational value; Ecosystem services; UK National Ecosystem Assessment; Meta-analysis; Spatially sensitive; ENDOGENOUS STRATIFICATION; DEMAND; MODELS;

D O I：

10.1007/s10640-013-9666-7

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页码：233 / 249

页数：17

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