Skip to main content
Log in

CVM Embedding Effects When There Are Active, Potentially Active and Passive Users of Environmental Goods

  • Published:
Environmental and Resource Economics Aims and scope Submit manuscript

Abstract

Embedding is said to occur when thewillingness-to-pay (WTP) values for a gooddiffer according to whether the good is valuedon its own or as part of a package of goods. Itcan manifest itself as a question order orsequencing effect whereby the WTP for a gooddepends upon the order in which contingentvaluation questions are asked. Usingsplit-sample data from different questionorderings of a survey administered to a generalpopulation, the willingness-to-pay values forimprovements to three recreational activities(swimming, fishing, and boating in HamiltonHarbour, Ontario, Canada) are estimated. Respondents are divided into three types ofuser groups: active users, potentially activeusers, and passive users. The paper thenexamines the extent to which embedding in theform of different question sequences affectseach of these three user types. Severalarguments are put forward to suggest whypassive users might be more susceptible toquestion order than active users. The resultssupport the hypothesis that order effects arelikely to be larger for passive users and alsoshow that potentially active users may beaffected by question order to a greater extentthan active users. This highlights theimportance of considering context when usingmultiple-question CVM to value passive usegoods.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Alberini, A. (1995), ‘Efficiency Vs Bias inWillingness-to-Pay Estimates: Bivariate and Interval Data Models’, Journal of Environmental Economics and Management 29, 169–180.

    Google Scholar 

  • Arrow, K., R. Solow, P. Portney, E. Leamer, R. Radner and H. Schuman (1993), ‘Report of the NOAA Panel on Contingent Valuation’, Federal Register. US Department of Commerce 58(10), 4602–4614.

    Google Scholar 

  • Bateman, I. J. and I. H. Langford (1997), ‘Budget-Constraint, Temporal, and Question-Ordering Effects in Contingent Valuation Studies’, Environment and Planning A 28, 1215–1228.

    Google Scholar 

  • Bateman, I. J., A. Munro, B. Rhodes, C. Starmer and R. Sugden (1997), ‘A Test of the Theory of Reference-Dependent Preferences’, Quarterly Journal of Economics 112(2), 479–505.

    Google Scholar 

  • Bateman, I. J., M. Cole, P. Cooper, S. Georgiou, D. Hadley and G. L. Poe (2001), ‘Visible Choice Sets and Scope Sensitivity: An Experimental and Field Test of Study Design Effects upon Contingent Values’, CSERGE Working Paper EDM 01-01, Centre for Social and Economic Research on the Global Environment, University of East Anglia.

  • Boyle, K. J., S. D. Reiling and M. L. Philips (1990), ‘Species Substitution and Question Sequencing in Contingent-Valuation Surveys Evaluating the Hunting of Several Species of Wildlife’, Leisure Sciences 12, 103–118.

    Google Scholar 

  • Boyle, K. J., M. P. Welsh and R. C. Bishop (1993), ‘The Role of Question Order and Respondent Experience in Contingent-Valuation Studies’, Journal of Environmental Economics and Management 25(1), S80–S99.

    Google Scholar 

  • Boyle, K. J., R. Johnson, D. W. McCollum, W. H. Desvousges, R. Dunford and S. Hudson, (1994), ‘An Investigation of Part-Whole Biases in Contingent Valuation Studies’, Journal of Environmental Economics and Management 27, 64–83.

    Google Scholar 

  • Brookshire, D. S., R. C. d'Arge, W. D. Schulze and M. A. Thayer (1981), ‘Experiments in Valuing Public Goods’, in V. K. Smith, ed., Advances in Applied Microeconomics: Volume I. Greenwich CT: JAI Press, pp. 123–172.

    Google Scholar 

  • Cameron, T. and M. James (1987), ‘Efficient Estimation Methods for Use with “Closed-Ended” Contingent Valuation Survey Data’, Review of Economics and Statistics 69, 269–276.

    Google Scholar 

  • Carson, R. T. (1997), ‘Contingent Valuation Surveys and Tests of Insensitivity to Scope’, in R. J. Kopp, W. W. Pommerehne and N. Schwarz, eds., Determining the Value of Non-Marketed Goods: Economic, Psychological, and Policy Relevant Aspects of Contingent Valuation Methods. Boston: Kluwer Academic Publishers.

    Google Scholar 

  • Carson, R. T. and R. C. Mitchell (1993) ‘The Issue of Scope in Contingent Valuation Surveys’, American Journal of Agricultural Economics 75(5), 1263–1267.

    Google Scholar 

  • Carson, R. T. and R. C. Mitchell (1995), ‘Sequencing and Nesting in Contingent Valuation Surveys’, Journal of Environmental Economics and Management 28(2), 155–173.

    Google Scholar 

  • Carson, R. T., R. C. Mitchell, W. M. Hanemann, R. J. Kopp, S. Presser and P. A. Rudd (1994), ‘Contingent Valuation and Lost Passive Use: Damages from the Exxon Valdez’, Resources for the Future Discussion Paper 94-18. Resources for the Future, Washington, DC.

    Google Scholar 

  • Carson, R. T., N. E. Flores and W. M. Hanemann (1997), ‘Sequencing and Valuing Public Goods’. Discussion Paper Number 97-21, University of Colorado Department of Economics, Boulder, Colorado.

    Google Scholar 

  • Carson, R. T., N. E. Flores and W. M. Hanemann (1998), ‘Sequencing and Valuing Public Goods’, Journal of Environmental Economics and Management 36(3), 314–323.

    Google Scholar 

  • Cummings, R. G., D. S. Brookshire and W. D. Schulze (1986), Valuing Environmental Goods: An Assessment of the Contingent-Valuation Method. Totowa: Rowan and Allenheld.

    Google Scholar 

  • Desvousges, W. H., F. R. Johnson, R. W. Dunford, K. J. Boyle, S. P. Hudson and K. N. Wilson (1993), ‘Measuring Natural Resource Damages with Contingent Valuation: Tests of Validity and Reliability’, in J. Hausman, ed., Contingent Valuation: A Critical Assessment. Amsterdam: North-Holland.

    Google Scholar 

  • Diamond, P. A. and J. A. Hausman (1994), ‘Contingent Valuation: Is Some Number Better Than No Number?’, Journal of Economic Perspectives 8(4), 45–64.

    Google Scholar 

  • Diamond, P. A., J. A. Hausman, G. K. Leonard and M. A. Denning (1993), ‘Does Contingent Valuation Measure Preferences? Experimental Evidence’, in J. Hausman, ed., Contingent Valuation: A Critical Assessment. Amsterdam: North-Holland.

    Google Scholar 

  • Diewert, W. E. (1982), ‘Duality Approaches to Microeconomic Theory’, in K. J. Arrow and M. D. Intriligator, eds., Handbook of Mathematical Economics. Volume II. Amsterdam: North Holland Publishing Company, pp. 535–599.

    Google Scholar 

  • Dillman, D. A. (1978), Mail and Telephone Surveys: The Total Design Method. New York: John Wiley and Sons.

    Google Scholar 

  • Giraud, K. L., J. B. Loomis and R. L. Johnson (1999), ‘Two Valuation Questions in One Survey: Is it a Recipe for Sequencing and Instrument Context Effects?’, Applied Economics 31(8), 957–964.

    Google Scholar 

  • Hailu, A., W. Adamowicz and P. Boxall (2000), ‘Complements, Substitutes, Budget Constraints and Valuation’, Environmental and Resource Economics 16, 51–68.

    Google Scholar 

  • Hanemann, W. M. (1994), ‘Valuing the Environment Through Contingent Valuation’, Journal of Economic Perspectives 8(4), 19–43.

    Google Scholar 

  • Hanemann, W. M., J. Loomis and B. Kanninen (1991), ‘Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation’, American Journal of Agricultural Economics 73, 1255–1263.

    Google Scholar 

  • Halvorsen, B. (1996), ‘Ordering Effects in CV Surveys: WTP for Reduced Health Damage from Air Pollution’, Environmental and Resource Economics 8, 485–499.

    Google Scholar 

  • Hausman, J. A. (1993), Contingent Valuation: A Critical Assessment. Amsterdam: North-Holland.

    Google Scholar 

  • Hoehn, J. P. (1991), ‘Valuing the Multidimensional Impacts of Environmental Policy: Theory and Methods’, American Journal of Agricultural Economics 73, 289–299.

    Google Scholar 

  • Hoehn, J. P. and J. B. Loomis (1993), ‘Substitution Effects in the Valuation of Multiple Environmental Programs’, Journal of Environmental Economics and Management 25, 56–75.

    Google Scholar 

  • Hoehn, J. P. and A. Randall (1989), ‘Too Many Proposals Pass the Benefit Cost Test’, American Economic Review 79(3), 544–551.

    Google Scholar 

  • Kahneman, D. and J. L. Knetsch (1992), ‘Valuing Public Goods: The Purchase of Moral Satisfaction’, Journal of Environmental Economics and Management 22, 57–70.

    Google Scholar 

  • Kidd, L., R. Matthews and M. Sproule-Jones (1999), What We Think and Want for the Hamilton Harbour Environment: A Community Report. Ecowise, McMaster University.

    Google Scholar 

  • Loomis, J. B., M. Lockwood and T. DeLacy (1993), ‘Some Empirical Evidence on Embedding Effects in Contingent Valuation of Forest Protection’, Journal of Environmental Economics and Management 25, 45–55.

    Google Scholar 

  • Mäler, K-G., (1974), Environmental Economics: A Theoretical Inquiry. Baltimore, Maryland: Johns Hopkins Press for Resources for the Future.

    Google Scholar 

  • Mitchell, R. C. and R. T. Carson (1989), Using Surveys to Value Public Goods: The Contingent Valuation Method. Washington, DC: Resources for the Future.

    Google Scholar 

  • Park, T., J. Loomis and M. Creel (1991), ‘Confidence Intervals for evaluating Benefits From Dichotomous Choice Contingent Valuation Studies’, Land Economics 67, 64–73.

    Google Scholar 

  • Randall, A. and J. Hoehn (1996), ‘Embedding in Market Demand Systems’, Journal of Environmental Economics and Management 30, 369–380.

    Google Scholar 

  • Randall, A., J. Hoehn and G. Tolley (1981), ‘The Structure of Contingent Markets: Some Results of a Recent Experiment’, Presented to the annual meeting of the American Economics Association, Washington, DC.

  • Riddel, M. and J. Loomis (1998), ‘Joint Estimation of Multiple CVM Scenarios under a Double-Bounded Questioning Format’, Environmental and Resource Economics 12, 77–98.

    Google Scholar 

  • Rollins, K. S. and A. J. Lyke (1998), ‘The Case for Diminishing Marginal Existence Values’, Journal of Environmental Economics and Management 36, 324–344.

    Google Scholar 

  • Samples, K. C. and J. R. Hollyer (1990), ‘Contingent Valuation of Wildlife Resources in the Presence of Substitutes and Complements’, in R. L. Johnson and G. V. Johnson, eds., Economic Valuation of Natural Resources. Issues, Theory, and Applications. Boulder, CO: Westview Press, pp. 177–192.

    Google Scholar 

  • Schulze, W. D., G. H. McClelland, J. K. Lazo and R. D. Rowe (1998), ‘Embedding and Calibration in Measuring Non-Use Values’, Resource and Energy Economics 20(2), 163–178.

    Google Scholar 

  • Smith, V. K. (1992), ‘Arbitrary Values, Good Causes, and Premature Verdicts’, Journal of Environmental Economics and Management 22(1), 71–89.

    Google Scholar 

  • Smith V. K. and L. Osborne (1996), ‘Do Contingent Valuation Estimates Pass a Scope Test? A Meta-Analysis’, Journal of Environmental Economics and Management 31(3), 287–301.

    Google Scholar 

  • Smith, V. K., X. Zhang and R. B. Palmquist (1999), ‘Marine Debris, Beach Quality, and Non-Market Values’, Environmental and Resource Economics 10, 223–247.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dupont, D.P. CVM Embedding Effects When There Are Active, Potentially Active and Passive Users of Environmental Goods. Environmental and Resource Economics 25, 319–341 (2003). https://doi.org/10.1023/A:1024446110640

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1024446110640

Navigation