Willingness to Pay in Environmental Valuation Contexts
Summary
Willingness to pay (WTP) is central to quantifying the economic value that individuals place on environmental goods and services. By eliciting monetary measures of preferences for clean air, biodiversity, recreational spaces and ecosystem restoration, researchers and policy-makers can integrate non-market values into cost–benefit analyses. Stated preference techniques, such as contingent valuation and discrete choice experiments, ask respondents to state their maximum WTP under hypothetical scenarios, capturing both use and non-use values. Advances in hybrid choice modelling have enhanced the accounting for preference heterogeneity, latent psychological factors and measurement bias. Recent work has emphasised the influence of information framing, survey credibility and perceived consequentiality on the validity of WTP estimates. Globally, WTP studies guide sustainable resource management, conservation planning and climate adaptation, informing equitable funding mechanisms and stakeholder engagement in environmental policy.
Research from Nature Portfolio
No recent Nature Portfolio content available.
Willingness to Pay in Environmental Valuation Contexts publication trend
The graph below shows the total number of articles in willingness to pay in environmental valuation contexts across all publications each year (not limited to Nature Index journals).
Technical terms
Willingness to Pay (WTP): The maximum amount an individual is prepared to pay for an environmental good or service under hypothetical or real market scenarios.
Stated Preference Survey: A survey method that asks respondents to articulate their preferences and WTP for non-market goods based on hypothetical scenarios.
Contingent Valuation Method: A stated preference approach in which individuals directly state their WTP for a defined change in environmental quality.
Discrete Choice Experiment: A survey technique presenting respondents with sets of hypothetical alternatives described by attributes and levels, used to infer WTP for each attribute.
Hybrid Choice Model: A modelling framework that incorporates latent psychological variables (e.g. attitudes) and socio-demographic indicators to explain choice behaviour and WTP heterogeneity.
Credibility: The degree to which respondents perceive the valuation scenario as realistic and believable, influencing the validity of stated WTP responses.
References
- Information processing in stated preference surveys A case study on urban gardens. Journal of Environmental Economics and Management (2023).
- Attitudinal drivers of home bias in public preferences for transboundary nature protected areas. Ecological Economics (2023).
- Information, Consequentiality and Credibility in Stated Preference Surveys: A Choice Experiment on Climate Adaptation. Environmental and Resource Economics (2022).
- Endogeneity and Measurement Bias of the Indicator Variables in Hybrid Choice Models: A Monte Carlo Investigation. Environmental and Resource Economics (2022).
About these summaries
This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.
Turn complex research questions into confident strategic decisions
When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.
Benchmark your performance against global peers using robust, methodologically sound analysis.
Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.
Gain tailored, decision-ready recommendations aligned to your strategic priorities.
Talk to us to learn more about our data dashboards and bespoke strategy reports.
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.
Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:
Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.
Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.
Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.
Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.