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Erschienen in: Environmental Management 4/2022

29.04.2021

Willingness to Pay for Gray and Green Interventions to Augment Water Supply: A Case Study in Rural Costa Rica

verfasst von: Héctor Tavárez, Levan Elbakidze, Oscar J. Abelleira-Martínez, Zayra Ramos-Bendaña, Nilsa A. Bosque-Pérez

Erschienen in: Environmental Management | Ausgabe 4/2022

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Abstract

Many rural communities in developing countries experience severe water shortages, limiting their capacity for self-sustainability. This study used contingent valuation and choice experiment methods and in-person interviews to estimate household willingness to pay (WTP) for gray and green interventions to augment water supply in rural Costa Rica. In particular, we examined residents’ preferences for well construction, as a form of gray intervention, and reforestation, as a form of green intervention, aimed at alleviating water shortages. Household WTP to reduce annual water shortage by one day varied between $0.85 (95% CI = 0.77–0.94) and $1.32 (95% CI = 1.08–2.56) per month depending on the project. The results also indicated that households were willing to pay $2.28 (95% CI = 1.36–3.21) and $3.51 (95% CI = 2.57–4.44) per month to increase forest cover in the watershed by 140–180 and 300–340 ha, respectively, assuming no additional water provision from the reforestation project. Nonwater-related benefits comprised 25–34% of the WTP for green intervention, depending on the acreage scenario. We also observed that, even without the nonwater-related ecosystem service benefits associated with reforestation, the value of water from green intervention exceeded the corresponding value of water from gray intervention. The disparity between preferences for water obtained from gray and green intervention may be due to differences in corresponding timing, uncertainty, quality of additional water made available from the considered projects, and differences in value elicitation methods.

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Fußnoten
1
We use the term reforestation to refer to increases in native forest cover on deforested land at the watershed scale.
 
2
Water scarcity is measured in terms of annual number of interruptions to water service due to low water levels.
 
3
The currency exchange rate was 1 USD = 537 colones (₡) at the time of the survey.
 
4
All households within ASADAS experience about the same level of water scarcity as interruptions affect all households equally.
 
5
A similar strategy for representing choice attributes as continuous or categorical across different model specifications can be found in Glenk and Colombo (2011).
 
6
The ML model was estimated with random parameters for all variables, except for the cost using 500 Halton draws. It is a common practice to hold the cost coefficient fixed to facilitate the estimation of marginal WTP for the attributes in ML models (Train 2009; Wielgus et al. 2009). Econometrics of ML models are discussed by Train (2009).
 
7
The remaining 155 respondents filled out CEs that included attributes and choices not relevant for this study and are part of a separate investigation.
 
8
One day of water shortage is equivalent to twenty-four cumulative hours of water service interruption. For instance, 24 h of water shortage within a 72-h (3 days) window is equivalent to one day of water shortage.
 
9
While the scope of this study excludes a detailed examination of the relationship between forest cover and water provision, we use this preliminary evidence as a motivation for examining WTP for reforestation aimed at improving water provision. We encourage more detailed and careful future examination of the relationship between forest cover and water provision by experts in the biophysical scientific fields.
 
10
Similar to the CV analysis, we also estimated a model that explores the effects of water scarcity and community-specific factors on the respondent’s choices using ASADAS-specific fixed effects. In this model, water scarcity and water supply district-specific factors were statistically insignificant, except for one district. We found no differences in WTP estimates between the model that includes water scarcity and ASADAS binary variables and the model that does not. Therefore, Table 6 reports the results from the models that exclude ASADAS binary variables.
 
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Metadaten
Titel
Willingness to Pay for Gray and Green Interventions to Augment Water Supply: A Case Study in Rural Costa Rica
verfasst von
Héctor Tavárez
Levan Elbakidze
Oscar J. Abelleira-Martínez
Zayra Ramos-Bendaña
Nilsa A. Bosque-Pérez
Publikationsdatum
29.04.2021
Verlag
Springer US
Erschienen in
Environmental Management / Ausgabe 4/2022
Print ISSN: 0364-152X
Elektronische ISSN: 1432-1009
DOI
https://doi.org/10.1007/s00267-021-01476-9

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