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Influence of user characteristics on valuation of ecosystem services in Doñana Natural Protected Area (south-west Spain)

Published online by Cambridge University Press:  07 August 2007

BERTA MARTÍN-LÓPEZ*
Affiliation:
Social-Ecological Systems Laboratory, Department of Ecology, c. Darwin 2, Edificio Biología, Universidad Autónoma de Madrid, 28049 Madrid, Spain
CARLOS MONTES
Affiliation:
Social-Ecological Systems Laboratory, Department of Ecology, c. Darwin 2, Edificio Biología, Universidad Autónoma de Madrid, 28049 Madrid, Spain
JAVIER BENAYAS
Affiliation:
Social-Ecological Systems Laboratory, Department of Ecology, c. Darwin 2, Edificio Biología, Universidad Autónoma de Madrid, 28049 Madrid, Spain
*
*Correspondence: Dr Martín-López Tel: +34 91 497 80 08 Fax: +34 91 497 80 01 e-mail: berta.martin@uam.es
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Summary

Economic valuation of ecosystem services by stated preferences techniques is usually used by policy-makers to develop environmental management practices. Critics of the contingent valuation (CV) method have argued that respondents are influenced by several factors, which mean that people do not apply economic motives in responding to CV questions. This study examines the influence of individuals’ environmental behaviour and knowledge about the good concerned on the CV results and the CV problem of benefit aggregation in order to determine the extent of the hypothetical market. Here a CV study in the Doñana National and Natural Park (Spain) found that both individual environmental behaviour and knowledge influenced willingness to pay for sustaining specific ecosystem services provided by the biodiversity of Doñana. A distance-decay function was found, which determined the social benefits of the ecosystem services of Doñana. The study illustrates the importance of understanding non-economic motives behind values in order to obtain further information which can support decision-making in environmental management.

Information

Type
Papers
Copyright
Copyright © Foundation for Environmental Conservation 2007
Figure 0

Figure 1 Study area map. Location of the Doñana SES and its main landscapes.

Figure 1

Table 1 Results of auto-clustering using the Schwarz Bayesian criterion (BIC). BIC changes are from the previous number of clusters in the table, ratios of BIC changes are relative to the change for the two-cluster solution and ratios of distance measures are based on the current number of clusters against the previous number of clusters.

Figure 2

Table 2 Characterization of Doñana users by the two-step cluster statistical analysis. Env. Org. = environmental organization; Biod. Cons. = biodiversity conservation; SD = sustainable development; Econ. Dev. = economic development. The average knowledge of visitor is the result of the addition of ‘knowledge about Doñana management’ and ‘knowledge about Doñana's protection status/management’ variables, which are constructed as: 0 = no knowledge, 1 = knowledge of some managing institutions and 2 = extensive knowledge. Several = 4 and medium = 2–3. The aim of visit was classified in three categories: nature (when visitors demanded activities associated with biodiversity or ecosystems), beach (when visitors spent their time exclusively on the beach) and culture (when visitors were interested in, for example, local traditional practices, folklore or gastronomy). Visit activity was classified as very active when respondents cited activities such as horse-riding, cycling or running, or they actively worked in the Doñana NPA, active when respondents cited activities such as walking, landscape contemplation, bird-watching or organized excursions, and passive when respondents spent their time relaxing or socializing with family and friends.

Figure 3

Table 3 Probit regression results regarding willingness to pay (WTP) or not pay for NPA (first stage of Heckit model). Dependent variable: 0 when WTP = 0 and 1 when WTP > 0. n = 576. Significance *** = 1%, ** = 5% and * = 10%.

Figure 4

Table 4 Sample selection two-stage least squares regression results (second stage of Heckit model). Dependent variable: ln(WTP). n = 576. Significance *** = 1%, ** = 5% and * = 10%.

Figure 5

Table 5 ANOVA tests results for distance (F = 8.68, α < 0.0001) and user (F = 10.28, α < 0.0001) categories. Standard deviation shown in parentheses. WTP = willingness to pay.

Figure 6

Figure 2 Mean (± SD) WTP for conservation of the Doñana ES in relation to (a) user's environmental behaviours; and (b) their local knowledge about Doñana NPA. Environmental behaviours: passive = > 4 but < 8 NPAs visited in 2003; active = > 8 NPAs visited in 2003; very active = > 8 NPAs visited in 2003 and member of an environmental organization. The average knowledge of visitor is the result of the addition of ‘knowledge about Doñana management’ and ‘knowledge about Doñana's protection status/management’ variables, where: 0 = no knowledge; 1 = knowledge of some managing institutions; 2 = extensive knowledge.

Figure 7

Figure 3 Relationship between WTP for maintaining the Doñana ES and (a) distance and (b) user type.

Figure 8

Table 6 Aggregation of annual benefits by Heckit regression estimation of mean WTP for different distances (DISTANCE model). Social benefits = € 54 974 199.

Figure 9

Table 7 Aggregation of annual benefits by Heckit regression estimation of mean WTP of user categories (USER model). Social benefits = € 52 432 544.