Measuring the Direct and Indirect Effect of Scientific Information On Valuing Stormwater Management Programs: A Hybrid Choice Model

Peter Groothuis, Tanga M. Mohr, John Whitehead, Kristan Cockerill, William P. Anderson, Jr. and Chuanhui Gu

No 20-02, Working Papers from Department of Economics, Appalachian State University

Abstract: Following best practice in stated preference guidelines we use scientific information to develop a realistic hypothetical scenario for stormwater management and water quality improvements in a stated preference valuation survey. We then provide different treatment levels of the scientific information to survey respondents. Using a hybrid choice model, we find that scientific information has no direct influence on referendum votes in favor of a stormwater management program. However, different levels of scientific information have an indirect influence by changing concern about stormwater runoff or by changing perceived understanding of the stormwater management plan. Both of these effects have implications for valuing a stormwater management plan. We suggest that researchers should be aware of how their choice on the information provided may influence responses to a stated preference survey. Key Words: stormwater management, stream water quality, science communication, stated preferences, hybrid choice models, generalized structural equation method

Date: 2020
New Economics Papers: this item is included in nep-dcm and nep-env
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