Economic valuation meta-analysis of freshwater improvement in developed and developing countries. Are they different?

Roldán, Diego; Sarmiento, Juan Pablo; Roldán-Aráuz, Francisco

doi:10.2166/wh.2021.268

Cited by 6 publications

(1 citation statement)

References 35 publications

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“…Empirical research has shown that there are a variety of factors that affect WTP, such as age, education, gender, marital status, occupation, household income, and the number of household members [21,22]. Other factors such as awareness of environmental protection, the relative importance of the environment to the economy, the ages of children in the household, the level of transparency of information and participation in the decision-making process, and the need for water quality improvements can also influence WTP [15,23,24]. For instance, Guilfoos et al [25] discovered that there were discrepancies between people's perceptions of water quality and the actual number of bacteria present in the water samples collected from households.…”

Section: Introductionmentioning

confidence: 99%

Determinants of Residents’ Willingness to Pay for Water Quality Improvements in Haikou, China: Application of CVM and ISM Approaches

Hao

Liao

et al. 2023

Water

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Exploring the determinants of residents’ willingness to pay (WTP) for water quality improvements is essential for protecting the water quality and formulating effective governance policies. This paper applies the double-bounded dichotomous contingent valuation method (CVM) to determine residents’ WTP for water quality improvements, calculate the average annual willingness of Haikou residents to pay for water quality improvements, and explore the factors influencing residents’ WTP for water quality improvements. Interpretive structural modeling (ISM) is then used to further analyze the association and hierarchy between the influencing factors. The results show that (1) Residents are willing to pay an average of 28.42 RMB/household/year for water quality improvements, and the total annual value of water quality improvements in Haikou is at least 5.58 × 108 RMB; (2) age, education level, income level, minor family member and government trust are the main factors that significantly (p < 0.05) influence urban residents’ WTP; (3) among the factors identified as significantly affecting WTP, the deeper root factors include educational attainment, age, and ultimately, the willingness of residents to participate in water quality improvements through indirect factors (government trust, income level, presence of minors). This study allows an in-depth and detailed understanding of the determinants of residents’ WTP for water quality improvements and provides a practical and relevant guide to water quality improvements in the tropics.

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Section: Introductionmentioning

confidence: 99%

Determinants of Residents’ Willingness to Pay for Water Quality Improvements in Haikou, China: Application of CVM and ISM Approaches

Hao

Liao

et al. 2023

Water

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Multilevel meta-analysis of stated preference values of marine ecosystem services in China

Guo,

Chen,

Hynes

2023

Mar Dev

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On the basis of a review of studies on the stated preference valuation of China’s marine ecosystem services conducted between 1996 and 2021, this paper presents a meta-analysis of the estimates of marine ecosystem service benefits by using a multilevel modeling approach. The results indicate that a range of factors influence the estimated economic values of China’s marine ecosystem services, including ecosystem area, ecosystem type, respondent identity, regional gross domestic product (GDP) per capita, ecosystem services being valued, valuation method, and hypothetical scenario being employed. Additionally, the meta-regression results indicate that the willingness to pay for marine ecosystem services in China depends largely on people’s perception of the importance of an ecosystem service. Such a perception is influenced by national policies, educational attainment, and the degree to which the service is linked to people’s lives. This situation is evidenced by the high willingness of people to pay for coastal wetlands and recreational services. People were also found to be most willing to pay for conservation scenarios and least willing to pay for environmental compensation scenarios. These findings contribute to the research on the valuation of marine ecosystem services in China and to the incorporation of research results into ecosystem-based management decisions by clarifying the effects of different factors on valuation estimates.

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Valuing drinking water quality after a PFAS contamination event: Results from a meta-analysis benefit transfer

Pintus

2024

Journal of Environmental Management

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Economic valuation meta-analysis of freshwater improvement in developed and developing countries. Are they different?

Cited by 6 publications

References 35 publications

Determinants of Residents’ Willingness to Pay for Water Quality Improvements in Haikou, China: Application of CVM and ISM Approaches

Determinants of Residents’ Willingness to Pay for Water Quality Improvements in Haikou, China: Application of CVM and ISM Approaches

Multilevel meta-analysis of stated preference values of marine ecosystem services in China

Valuing drinking water quality after a PFAS contamination event: Results from a meta-analysis benefit transfer

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