IDEAS home Printed from https://ideas.repec.org/r/eee/resene/v24y2002i1-2p13-31.html
   My bibliography  Save this item

The effect of resource quality information on resource injury perceptions and contingent values

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. John C. Whitehead, 2006. "Improving Willingness to Pay Estimates for Quality Improvements through Joint Estimation with Quality Perceptions," Southern Economic Journal, John Wiley & Sons, vol. 73(1), pages 100-111, July.
  2. Naresh Nepal & Eric Steltzer & Alok K. Bohara & Kelly Cullen, 2018. "Public values on offshore wind farm," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(1), pages 225-240, January.
  3. Garces-Voisenat, Juan-Pedro & Mukherjee, Zinnia, 2012. "Estimating the willingness to pay for environmental resources in the Chilean Patagonia," MPRA Paper 39320, University Library of Munich, Germany.
  4. Bazzani, Claudia & Caputo, Vincenzina & Nayga, Rodolfo M. & Canavari, Maurizio, 2015. "Testing commitment cost in food choices: a non-hypothetical choice experiment approach," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205235, Agricultural and Applied Economics Association.
  5. Cavalcanti, Carina & Schläpfer, Felix & Schmid, Bernhard, 2010. "Public participation and willingness to cooperate in common-pool resource management: A field experiment with fishing communities in Brazil," Ecological Economics, Elsevier, vol. 69(3), pages 613-622, January.
  6. Claudia Bazzani & Vincenzina Caputo & Rodolfo M. Nayga JR. & Maurizio Canavari, 2017. "Testing Commitment Cost Theory In Choice Experiments," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 383-396, January.
  7. Provencher, Bill & Lewis, David J. & Anderson, Kathryn, 2012. "Disentangling preferences and expectations in stated preference analysis with respondent uncertainty: The case of invasive species prevention," Journal of Environmental Economics and Management, Elsevier, vol. 64(2), pages 169-182.
  8. Xiaoshu Li & G. Andrew Stainback, 2020. "On-Site Experience Effect on Stakeholders’ Preferences of Forest Management," Sustainability, MDPI, vol. 12(19), pages 1-16, September.
  9. repec:ken:wpaper:0603 is not listed on IDEAS
  10. Li, Xiaoshu & Boyle, Kevin J. & Pullis, Genevieve, 2012. "Does On-site Experience Affect Responses to Stated Preference Questions?," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124991, Agricultural and Applied Economics Association.
  11. Lewis, David J. & Provencher, Bill & Beardmore, Ben, 2015. "Using an intervention framework to value salient ecosystem services in a stated preference experiment," Ecological Economics, Elsevier, vol. 114(C), pages 141-151.
  12. Robert J. Johnston & Randall S. Rosenberger, 2010. "Methods, Trends And Controversies In Contemporary Benefit Transfer," Journal of Economic Surveys, Wiley Blackwell, vol. 24(3), pages 479-510, July.
  13. Johnston, Robert J., 2006. "Is hypothetical bias universal? Validating contingent valuation responses using a binding public referendum," Journal of Environmental Economics and Management, Elsevier, vol. 52(1), pages 469-481, July.
  14. Lyssenko, Nikita & Martinez-Espineira, Roberto, 2009. "`Been there done that': Disentangling option value effects from user heterogeneity when valuing natural resources with a use component," MPRA Paper 21976, University Library of Munich, Germany, revised 08 Apr 2010.
  15. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
  16. Giaccaria Sergio & Frontuto Vito & Dalmazzone Silvana, 2010. "Who’s afraid of power lines? Merging survey and GIS data to account for spatial heterogeneity," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201002, University of Turin.
  17. Welling, Malte & Sagebiel, Julian & Rommel, Jens, 2023. "Information processing in stated preference surveys," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
  18. Johnston, Robert J. & Joglekar, Deepak P., 2005. "Validating Hypothetical Surveys Using Binding Public Referenda: Implications for Stated Preference Valuation," 2005 Annual meeting, July 24-27, Providence, RI 19519, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  19. Needham, Katherine & Czajkowski, Mikołaj & Hanley, Nick & LaRiviere, Jacob, 2018. "What is the causal impact of information and knowledge in stated preference studies?," Resource and Energy Economics, Elsevier, vol. 54(C), pages 69-89.
  20. Berger, Mark C. & Blomquist, Glenn C. & Sabirianova Peter, Klara, 2008. "Compensating differentials in emerging labor and housing markets: Estimates of quality of life in Russian cities," Journal of Urban Economics, Elsevier, vol. 63(1), pages 25-55, January.
  21. Li, Xiaoshu & Boyle, Kevin J. & Holmes, Thomas P. & LaRouche, Genevieve Pullis, 2014. "The effect of on-site forest experience on stated preferences for low-impact timber harvesting programs," Journal of Forest Economics, Elsevier, vol. 20(4), pages 348-362.
  22. Pascal Haegeli & Wolfgang Haider & Margo Longland & Ben Beardmore, 2010. "Amateur decision-making in avalanche terrain with and without a decision aid: a stated choice survey," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 52(1), pages 185-209, January.
  23. Urama, Kevin C. & Hodge, Ian D., 2006. "Are stated preferences convergent with revealed preferences? Empirical evidence from Nigeria," Ecological Economics, Elsevier, vol. 59(1), pages 24-37, August.
  24. Berrens, Robert P. & Bohara, Alok K. & Jenkins-Smith, Hank C. & Silva, Carol L. & Weimer, David L., 2004. "Information and effort in contingent valuation surveys: application to global climate change using national internet samples," Journal of Environmental Economics and Management, Elsevier, vol. 47(2), pages 331-363, March.
  25. Konishi, Yoshifumi & Coggins, Jay S., 2008. "Environmental risk and welfare valuation under imperfect information," Resource and Energy Economics, Elsevier, vol. 30(2), pages 150-169, May.
  26. Trudy Cameron, 2005. "Updating Subjective Risks in the Presence of Conflicting Information: An Application to Climate Change," Journal of Risk and Uncertainty, Springer, vol. 30(1), pages 63-97, January.
  27. Robert W. Kling & Charles F. Revier & Karin Sable, 2004. "Estimating the Public Good Value of Preserving a Local Historic Landmark: The Role of Non-substitutability and Citizen Information," Urban Studies, Urban Studies Journal Limited, vol. 41(10), pages 2025-2041, September.
  28. Ladenburg, Jacob & Olsen, Søren Bøye, 2008. "Gender-specific starting point bias in choice experiments: Evidence from an empirical study," Journal of Environmental Economics and Management, Elsevier, vol. 56(3), pages 275-285, November.
  29. Holland, Benedict M. & Johnston, Robert J., 2014. "Spatially-Referenced Choice Experiments: Tests of Individualized Geocoding in Stated Preference Questionnaires," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170191, Agricultural and Applied Economics Association.
  30. Bunse, Lukas & Rendon, Olivia & Luque, Sandra, 2015. "What can deliberative approaches bring to the monetary valuation of ecosystem services? A literature review," Ecosystem Services, Elsevier, vol. 14(C), pages 88-97.
  31. Konishi, Yoshifumi & Adachi, Kenji, 2011. "A framework for estimating willingness-to-pay to avoid endogenous environmental risks," Resource and Energy Economics, Elsevier, vol. 33(1), pages 130-154, January.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.