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Certainty pays off: The public's value of environmental monitoring

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  • Venus, Terese E.
  • Sauer, Johannes

Abstract

Although monitoring is crucial for environmental science and policy, few studies have assessed its value for the public. To value the public preferences for environmental monitoring related to hydropower, we designed a discrete choice experiment, used the Q-methodology to select attributes and assessed preferences for monitoring with a split-sample design. While both samples faced decisions about hydropower management, one sample was informed that an environmental measure's efficacy was unknown due to a lack of monitoring. We found that uncertainty significantly reduced utility levels and willingness to pay, which indicates that the public positively values monitoring. By accounting for heterogeneous preferences using both the mixed logit and latent class approach, our results were confirmed irrespective of the socio-demographic profile. In our application to environmental hydropower, we find strong support for fish protection and opposition to foreign ownership. In light of the growing number of environmental policies (e.g., Water Framework Directive) that mandate monitoring, these findings highlight the need to account for its positive externalities. Thus, we recommend that decision makers include the public value of monitoring in environmental cost-benefit analyses.

Suggested Citation

  • Venus, Terese E. & Sauer, Johannes, 2022. "Certainty pays off: The public's value of environmental monitoring," Ecological Economics, Elsevier, vol. 191(C).
  • Handle: RePEc:eee:ecolec:v:191:y:2022:i:c:s0921800921002792
    DOI: 10.1016/j.ecolecon.2021.107220
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    2. Meles, Tensay Hadush & Lokina, Razack & Mtenga, Erica Louis & Tibanywana, Julieth Julius, 2023. "Stated preferences with survey consequentiality and outcome uncertainty: A split sample discrete choice experiment," EfD Discussion Paper 23-16, Environment for Development, University of Gothenburg.
    3. Hayes, D.S. & Bruno, M.C. & Alp, M. & Boavida, I. & Batalla, R.J. & Bejarano, M.D. & Noack, M. & Vanzo, D. & Casas-Mulet, R. & Vericat, D. & Carolli, M. & Tonolla, D. & Halleraker, J.H. & Gosselin, M., 2023. "100 key questions to guide hydropeaking research and policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    4. Tensay Hadush Meles & Razack Lokina & Erica Louis Mtenga & Julieth Julius Tibanywana, 2023. "Stated Preferences with Survey Consequentiality and Outcome Uncertainty: A Split Sample Discrete Choice Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(4), pages 717-754, December.
    5. Luhede, Amelie & Yaqine, Houda & Bahmanbijari, Reza & Römer, Michael & Upmann, Thorsten, 2024. "The value of information in water quality monitoring and management," Ecological Economics, Elsevier, vol. 219(C).
    6. Ruokamo, Enni & Juutinen, Artti & Ashraf, Faisal Bin & Haghighi, Ali Torabi & Hellsten, Seppo & Huuki, Hannu & Karhinen, Santtu & Kopsakangas-Savolainen, Maria & Marttila, Hannu & Pongracz, Eva & Roma, 2024. "Estimating the economic value of hydropeaking externalities in regulated rivers," Applied Energy, Elsevier, vol. 353(PA).
    7. Amelie Luhede & Houda Yaqine & Reza Bahmanbijari & Michael Römer & Thorsten Upmann, 2023. "The Value of Information in Water Quality Monitoring and Management," CESifo Working Paper Series 10307, CESifo.
    8. Zhang, Dongcheng & Jiang, Hanchen & Qiang, Maoshan, 2023. "Public attitudes toward hydropower in China: The role of information provision and partisan identification," Technological Forecasting and Social Change, Elsevier, vol. 195(C).

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