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Developing a Stated Preference Study of Water Quality Improvements in the Chesapeake Bay Watershed

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7 diapositives · 222 Views · Jul 19, 2014

This study, led by Chris Moore at the National Center for Environmental Economics, aims to estimate the social welfare changes resulting from Total Maximum Daily Load (TMDL) compliance in the Chesapeake Bay. It integrates stated preference with revealed preference data to assess the nonuse value of iconic water resources and explore recreation and ecosystem health impacts. The challenges include addressing numerous endpoints, long time horizons for ecological changes, and potential double counting. Key questions focus on expected water quality improvements and methods to value these changes effectively.

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  1. Developing a Stated Preference Study of Water Quality Improvements in the Chesapeake Bay Watershed Chris Moore National Center for Environmental Economics November 1, 2011 National Center for Environmental Economics

  2. Measurement Objectives Estimate a comprehensive measure of changes in social welfare from meeting TMDL in the Bay Complement revealed preference data Joint estimation with RP data National Center for Environmental Economics

  3. Added Value of SP Study • Nonuse value • Unique and iconic resource • Johnston (2003) meta-analysis: as a proportion of use value, the nonuse value for estuaries (especially in the eastern US) is larger than any other type of water body • Lack of data on non-fishing recreation • Lack of any recreation data elsewhere in watershed • Non-recreation benefits • TMDL may achieve WQ not observable in RP data National Center for Environmental Economics

  4. (Very) Preliminary Plans for SP study National Center for Environmental Economics

  5. Challenges in Study Design (1) • Large number of endpoints (i.e. attributes) • Recreation, aesthetics, ecosystem health, terrestrial benefits, human health(?)… • In addition to the Bay, water quality in rivers, streams, lakes, and ponds will be affected • Combining with revealed preference data creates potential for double counting National Center for Environmental Economics

  6. Challenges in Study Design (2) • Relatively long time horizon for ecological changes: 2025 or later • Valuing interim levels of ecosystem services • Does this create a credibility problem? • Policy application limits attributes to those we can forecast • Survey will be administered after release of WIPs and possibly some RP results National Center for Environmental Economics

  7. Parting Questions What WQ improvements can we expect in lakes and rivers? Will those benefits be important? How to balance large number of endpoints with cognitive burden and fatigue? What is the best way to value the time-path of WQ improvements? Is recreation choice experiment + one CV question sufficient to capture total economic value? What is the best use of SP and RP data? National Center for Environmental Economics