Skip to main content

Advertisement

Log in

Estimating Benefits for Effective Enforcement of Speed Reduction from Dichotomous-Choice CV

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

Abstract

We present an empirical estimation of the distribution of WTP foreffective speed restriction via implementation of local trafficcalming schemes. Random samples are drawn from the populations ofhouseholds (henceforth HHs) of three centres intersected by maintrunk roads with varying through traffic conditions. We estimatethe underlying WTP distributions from discrete-choice responsesto site-specific referendum contingent valuation studiesaccounting for zero-bidders. We then test the hypothesis ofdifferent distributions across villages. The statistical analysisconsists first of a parametric specification and then of atotally non-parametric one. Stated welfare changes for effectivespeed reduction are found to be sizeable and the parameters ofthe random utility models are plausibly related to differences inobjective speed measures across centres. The results appear toencourage the use of the referencum-CV method in the estimationof local public goods. In this case study the proposed publicproject would seem to pass the Kaldor-Hicks potentialcompensation test.

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 of WTP Estimates: Bivariate and Interval-Data Models’, Journal of Environmental Economics and Management 29, 169–180.

    Google Scholar 

  • An, M. Y. and R. A. Ayala (1996a), A Mixture Model of Willingness to Pay Distributions, Mimeograph. Available by FTP at “pub/man/papers/npecross.ps”.

  • An, M. Y. and R. A. Ayala (1996b), Nonparametric Estimation of a Survivor Function with Across-Interval-Censored Data, Mimeograph. Available by FTP at “pub/man/papers/npecross.ps” or at “http://econwpa.wustl.edu”.

  • Bateman I. J. and K. G. Willis (1999), Valuing Environmental Preferences: Theory and Practice of the Contingent Valuation Method in the US, EC and Developing Countries. Oxford University Press.

  • Boman, M., G. Bostedt and B. Kriström (1999), ‘Obtaining Welfare Bounds in Discrete Response Valuation Studies: A Non-Parametric Approach’, Land Economics 75, 284–294.

    Google Scholar 

  • Boulter, P. G. and D. C. Webster (1997), ‘Traffic Calming and Vehicle Emissions: A Literature Review’, TRL Report 307. Transport Research Laboratory, Crowthorne, Berkshire.

    Google Scholar 

  • Cameron, T. A. and J. Quiggin (1994), ‘Estimation Using Contingent Valuation Data from a Dichotomous Choice with Follow-Up Questionnaire’, Journal of Environmental Economics and Management 27, 218–234.

    Google Scholar 

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

    Google Scholar 

  • Carson, R. T., T. Groves and M. J. Machina (1999), Incentive and Informational Properties of Preference Questions. Paper presented at the IX Conference of the European Association of Environmental and Resource Economists, Oslo 25–27 June.

  • Collins, G. (1997), Traffic Calming on Through Routes. Edinburgh: National Roads Directorate, Scottish Office.

    Google Scholar 

  • Cooper, J. C. (1994), ‘A Comparison of Approaches to Calculating Confidence Intervals for Benefit Measures from Dichotomous Choice Contingent Valuation Surveys’, Land Economics 70, 111–122.

    Google Scholar 

  • County Surveyors Society and Department of Transport (1994), Traffic Calming in Practice: An Authoritative Source Book with 85 Illustrated Case Studies. London: Landor Publishing.

    Google Scholar 

  • Deacon, R. and P. Shapiro (1975), ‘Private Preference for Collective Goods Revealed Through Voting on Referenda’, American Economic Review 65, 943–955.

    Google Scholar 

  • Efron, B. (1981), ‘Nonparametric Standard Errors and Confidence Intervals’, Canadian Journal of Statistics 9, 139–172.

    Google Scholar 

  • H.M. Treasury (1991), Economic Appraisal in Central Government: A Technical Guide for Government Departments. London: HMSO.

    Google Scholar 

  • Haab, T. C. and K. E. McConnell (1997), ‘Referendum Models and Negative WTP: Alternative Solutions’, Journal of Environmental Economics and Management 32, 251–270.

    Google Scholar 

  • Hanemann, W. M. and B. Kanninen (1999), The Statistical Analysis of Discrete Response CV Data. Bateman and Willis, pp. 302–441.

  • Hanemann, W. M. (1984), ‘Welfare Evaluations in Contingent Valuations Experiments with Discrete Responses’, American Journal of Agricultural Economics 66, 332–341.

    Google Scholar 

  • Hanemann, W. M. (1989), ‘Welfare Evaluations in Contingent Valuations Experiments with Discrete Response Data: A Reply’, American Journal of Agricultural Economics 71, 1057–1061.

    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 

  • Hutchinson, G., R. Scarpa, S. Chilton and T. Mc Callion (2001), ‘Parametric and Non-Parametric Estimates of Willingness to Pay for Forest Recreation in Northern Ireland: A Multi-Site Analysis Using Discrete Choice Contingent Valuation with Follow-Ups’, Journal of Agricultural Economics 52(1), 104–122.

    Google Scholar 

  • Johansson, P-O., B. Kriström and K. G. Mäler (1989), ‘Welfare Evaluations in CV Experiments with Discrete Response Data: Comment’, American Journal of Agricultural Economics 71, 1054–1056.

    Google Scholar 

  • Kanninen, B. J. (1993), ‘Optimal Experimental Design for Double-Bounded Dichotomous Choice Contingent Valuation’, Land Economics 69, 138–146.

    Google Scholar 

  • Kaplan, E. and P. Meier (1958), ‘Nonparametric Estimation from Incomplete Observations’, Journal of the American Statistical Association 53, 457–481.

    Google Scholar 

  • Krinsky, I. and A. Robb (1986), ‘Approximating the Statistical Properties of Elasticities’, Review of Economics and Statistics 68, 715–719.

    Google Scholar 

  • Kriström, B. (1995), Spike Models in Contingent Valuation: Theory and Illustrations. Invited paper to the First Toulouse Conference on Environmental and Resource Economics, Toulouse, France, 30–31.

  • Kriström, B. (1997), ‘Spike Models in Contingent Valuation’, American Journal of Agricultural Economics 79, 1013–1023.

    Google Scholar 

  • McFadden, D. (1994), ‘Contingent Valuation and Social Choice’, American Journal of Agricultural Economics 76, 689–708.

    Google Scholar 

  • Reiser, B. and M. Shechter (1999), ‘Incorporating Zero Values in the Economic Valuation of Environmental Program Benefits’, Environmetrics 10, 87–101.

    Google Scholar 

  • Scarpa, R. and I. Bateman (2000), ‘Efficiency Gains Afforded by Improved Bid Design Versus Follow-Up Valuation Questions in Discrete Choice CV Studies’, Land Economics 76(2): 299–311.

    Google Scholar 

  • Turnbull, B. W. (1974), ‘Nonparametric Estimation of a Survivorship Function with Doubly Censored Data’, Journal of the American Statistical Association 69, 169–173.

    Google Scholar 

  • Turnbull, B. W. (1976), ‘The Empirical Distribution Function with Arbitrarily Grouped, Censored and Truncated Data’, Journal of the Royal Statistical Society, Series B 38, 290–295.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Scarpa, R., Willis, K. & Garrod, G. Estimating Benefits for Effective Enforcement of Speed Reduction from Dichotomous-Choice CV. Environmental and Resource Economics 20, 281–304 (2001). https://doi.org/10.1023/A:1013076219748

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1013076219748

Keywords

Navigation