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Progress on valuation Part I

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Purpose: estimate economic value of services provided by NJ's natural ... and classify each data point by biome, by ecosystem service, and by country ... – PowerPoint PPT presentation

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Title: Progress on valuation Part I


1
Progress on valuationPart I
2
Overview
  • Benefit transfer
  • Point transfer NJ project
  • Function transfer Meta analysis
  • Inventory creation of environmental economic
    literature

3
VALUING NEW JERSEYS ECOSYSTEM SERVICES USING A
BENEFIT TRANSFER APPROACH
  • Shuang Liu, Matthew Wilson,
  • Robert Costanza, Austin Troy,
  • John DAgostino and William Mates

4
Project background
  • Purpose estimate economic value of services
    provided by NJs natural environment.
  • First comprehensive statewide study in US.
  • Participants NJDEP, Geraldine R. Dodge William
    Penn Foundations, Gund Institute.
  • Work began 7/04, completed 3/07.
  • NYT coverage on May 21, 2007
  • http//www.nj.gov/dep/dsr/naturalcap/

5
Benefit transfer
  • Save time and resources.
  • Included 100 studies (temperate zones in NA and
    EU) 94 from peer-reviewed journals, with a total
    of 210 individual value estimates.
  • Translate each estimate into USD2004/(ha yr)

total statewide acreage
6
Value-Transfer Data Source Typology
7
Gap analysis
8
Values by Ecosystem
9
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10
Variation in NJ studies
11
A META-ANALYSIS OF ECOSYSTEM SERVICE VALUATION IN
COASTAL AND NEAR-SHORE MARINE ECOSYSTEMS
  • Shuang Liu, Matthew Wilson, and David Stern

12
Meta-analysis (MA)
  • Definition using statistical methods to
    synthesize the results found in a well-defined
    class of empirical studies (Smith and Pattanayak
    2002)
  • Purposes (Bergstrom and Taylor, 2006)
  • 1) synthesize
  • 2) test hypotheses
  • 3) predict values across time and space, i.e.
    function transfer

13
Why coastal?
  • Under significant pressure
  • Supply 75 of the world fish catch, 7590 of
    the global sink of suspended river load and its
    associated elements/pollutants (Turner 2000)
  • Demand 40 of the global population lived within
    100 km of a coastline (MEA 2005)
  • US gt50 population lives along the coast/in
    coastal watersheds (Beach 2002) China gt56
    reside in coastal provinces, Shanghai and Tianjin
    (Hinrichsen 1998).

14
Literature review
  • Peer-reviewed only
  • Total of Studies 70
  • Total data points/observations 155
  • Wilson and Liu. 2007. Evaluating the Non-Market
    Value of Ecosystem Goods and Services provided by
    Coastal and Nearshore Marine System. In
    Pattterson and Glavovic (eds.) Ecological
    Economics of the Oceans and Coasts.

15
by valuation method
16
Meta-analysis
  • 120 observations from 39 CV studies
  • Y WTP in USD2006/(household year)
  • Xs 3 categories 50 variables
  • The estimated model
  • Ln (y) a Xcbc Xmbm Xqbq u

Commodity consistency
Quality consistency (publication year
primary data only?)
Methodology consistency
17
Xs for commodity consistency
  • Objects of valuation
  • ecosystem service, land cover, geopolitical
    region, marquee status, size of the study area,
    urban/rural
  • Subject of valuation income, population density
  • Context type degree of marginal changes

18
Xs for methodology consistency
  • Valuation method
  • Only non-users included?
  • Lump-sum/annual payment
  • Substitution included?
  • Elicitation method
  • Outliers excluded?
  • Median vs mean?
  • Payment vehicle

19
Meta-regression
  • Ordinary Least Squares (OLS) log-log model
  • Stepwise regression, 18 explanatory variables
    left (Plt0.1), df 102
  • Adjusted R2 78.4
  • Passed heteroscedasticity test but residuals are
    not normally distributed, though both factors
    were taken into account when running the model

20
Selected model results
21
Conclusion
  • Observable attributes account for a substantial
    proportion of the variance in WTP estimates
    across studies
  • Some often omitted information is important in
    explaining coastal values, e.g. the size of the
    study area
  • Result of the model could be used for function
    transfer the prediction/estimation of the value
    of a coastal area given knowledge of its physical
    and socio-economic characteristics.

22
Inventory creation
  • Go through all the peer-reviewed environmental
    economic literature listed in EVRI, and classify
    each data point by biome, by ecosystem service,
    and by country
  • Total of data points 730 from 675 studies

23
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24
By ecosystem service
25
  • Thank you!
  • Questions and comments?
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