This paper investigates the benefits of improved street lights to households, associated with the replacement of low-pressure sodium orange/yellow street lights with high-pressure sodium white street lights. Improved street lighting provides higher luminosity, improved colour rendition and less light pollution into the night sky. Benefits include reductions in crime and road accidents, streetscape enhancements and increased amenity attributable to less light pollution. The benefit estimation uses a double-bounded discrete choice contingent valuation approach, incorporating a factor analytical procedure. Results reveal safety concerns as the main factor influencing willingness-to-pay and that considerable differences exist in willingness-to-pay between households in urban and rural areas.
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References
1.
Arrow, K.J., Solow,R., Portney P R. ET AL. (1993) Report of the National Oceanic and Atmospheric Administration (NOAA) Panel on contingent valuation. Federal Register58(10), pp. 4016-4614.
2.
Atkins S., Husain S. and Storey, A. (1991) The influence of street lighting on crime and fear of crime. Paper 28, Crime Prevention Unit, Home Office , London.
3.
Blamey, R. (1998) Contingent valuation and the activation of environmental norms, EcologicalEconomics, 24, pp. 47-72.
4.
Blamey, R.K., Bennett, J.W. and Morrison, M.D. (1999) Yea-saying in contingent valuation surveys, Land Economics, 7591, pp. 126-141.
5.
Brouwer, R., Powe, N.A., Turner, R.K. ET AL. (1999) Public attitudes to contingent valuation and public consultation, Environmental Values, 8, pp. 325-347.
6.
Carson, R.T., Groves, T. and Machina, M.J. (1999) Incentive and information properties of preference questions. Paper presented at the European Association of Resource and Environmental Economics Conference, Oslo .
7.
Cooper, J.C. (1994) A comparison of approaches to calculating confidence intervals for benefit measures from dichotomous choice contingent valuation surveys, Land Economics, 70(1), pp. 111-122.
8.
Duffield, J.W. and Patterson, D.A. (1991) Inference and optimal design for a welfare measure in dichotomous choice contingent valuation, Land Economics , 67(2), pp. 225-239.
9.
Efron, B. and Tibshirani, R.J. (1993) An Introduction to the Bootstrap . New York: Chapman and Hall.
10.
Farouki, O.T. (1977) The effect of improved road lighting on accidents at night. Department of Civil Engineering, Queen's University , Belfast.
11.
Farrington, D.P. and Welsh, B.C. (2002) Effects of improved street lighting on crime: a systematic review. Home Office Research Study 251, Home Office Research, Development and Statistics Directorate, London.
12.
Field, A. (2000) Discovering Statistics Using SPSS for Windows . London: SAGE Publications.
13.
Fisher, A.C. (1996) The conceptual underpinnings of the contingent valuation method, in: D. J. Bjornstad and J. R. Kahn (Eds) The Contingent Valuation of Environmental Resources: Methodological Issues and Research Needs , pp. 19-37. Cheltenham: Edward Elgar.
14.
Haab, T.C. and McConnell, K.E. (1998) Referendum models and economics values: theoretical intuitive, and practical bounds on willingness to pay , Land Economics, 74(2), pp. 216-229.
15.
Hair, J.F., Anderson, R.E., Tatham, R.L. and Black, W.C. (1995) Multivariate Data Analysis, 4th edn. New Jersey: Prentice Hall .
16.
Hanemann W M. and Kanninen B. (1999) The statistical analysis of discrete-response CV data, in: I. J. Bateman and K. G. WILLIs (Eds) Valuing Environmental Preferences: Theory and Practice of the Contingent Valuation Method in the US, EU and Developing Countries, pp. 302-441. Oxford: Oxford University Press.
17.
Hanemann W M., Loomis, J.B. and Kanninen,B. (1991) Statistical efficiency of double-bounded dichotomous choice contingent valuation, American Journal of Agricultural Economics, 73(4), pp. 1255-1263.
18.
Hargroves, R.A. and Scott, P. (1979) Measurements of road lighting and accidents: the results, Public Lighting, 44, pp. 213-221.
19.
Herbert, D. and Davidson, N. (1994) Modifying the built environment: the impact of improved street lighting, Geoforum, 25(3), pp. 339-350.
20.
Hoehn, J.P. and Randall, A. (1987) A satisfactory benefit cost indicator from contingent valuation, Journal of Environmental Economics and Management , 14, pp. 226-247.
21.
Kriström, B. (1997) Spike models in contingent valuation, American Journal of Agricultural Economics, 79, pp. 1013-1023.
22.
Marsden, A.M. (1976) Road lighting: visibility and accident reduction . Lighting Research and Development, Thorn Lighting Ltd .
23.
Mitchell R C. and Carson R T. (1989) Using Surveys to Value Public Goods: The Contingent Valuation Method. Washington, DC: Resources for the Future.
24.
National Statistics (2002) Regional, sub-regional and local area household income. National Statistics, London.
25.
Nicholson, W. (1987) Microeconomic Theory: Basic Principles and Extensions . Chicago, IL: Dryden Press.
26.
Nunes, P.A.L.D. (2002) Using factor analysis to identify consumer preferences for the protection of a natural area in Portugal, EuropeanJournal of Operational Research, 140, pp. 499-516.
27.
Nunes, P.A.L.D. and Schokkaert, E. (2003) Identifying the warm glow effect in contingent valuation, Journal of Environmental Economics and Management , 45, pp. 231-245.
28.
Odpm (Office Of The Deputy Prime Minister) ( 2002) Lighting in the countryside: towards good practice (available at: http://www.odpm.gov.uk/stellent/groups/odpm_control/documents/contentservertemplate/odpm_index.hcst?n=2333&1=2).
29.
Oppenheim, A.N. (1992) Questionnaire Design, Interviewing and Attitude Measurement, new edn. London: Continuum .
30.
Painter, K. (1996) The influence of street lighting improvements on crime, fear and pedestrian use, after dark, Landscape and UrbanPlanning, 35, pp. 193-201.
31.
Painter, K. and Farrington, D.P. (1997) The crime reducing effect of improved street lighting: the Dudley project, in: R. V. Clarke (Ed.) Situational Crime Prevention: Successful Case Studies, 2nd edn, pp. 209-226. Albany, NY: Harrow and Heston.
32.
Painter, K. and Farrington, D.P. (1999) Street lighting and crime: diffusion of benefits in the Stoke-on-Trent project, in: K. Painter and N. Tilley (Eds) Surveillance of Public Space: CCTV, Street Lighting and Crime Prevention, pp. 77-122. Monsey, NY: Criminal Justice Press.
33.
Painter, K. and Farrington, D.P. (2001) The cost benefits of improved street lighting, based on crime reduction, Lighting Research Technology, 33(1), pp. 3-12.
34.
Powe, N.A. and Bateman, I.J. (2004) Investigating insensitivity to scope: a split-sample test of perceived scheme realism, Land Economics, 80(2), pp. 258-271.
35.
Ready, R.C. and Hu, D. (1995) Statistical approaches to the fat tail problem for dichotomous choice contingent valuation, Land Economics , 71(4), pp. 491-499.
36.
Reiser, B. and Schechter, M. (1999) Incorporating zero values in the economic valuation of environmental program benefits, Envirometrics, 10, pp. 87-101.
37.
Schkade, D.A. and Payne, J.W. (1994) How people respond to contingent valuation questions: a verbal protocol analysis of willingness to pay for an environmental regulation , Journal of Environmental Economics and Management, 26, pp. 88-109.
38.
Schreuder, D.A. (1998) Road Lighting for Safety. London : Thomas Telford Publishing.
39.
Simons, R.H. (1992) Road lighting and accidents, The Lighting Journal, 57(4), pp. 243-247.
40.
Tanner, J.C. (1963) Lighting improvement on urban roads in Great Britain . Road Transport Laboratory, Crowthorne , Berkshire.
41.
Walker, A.E. (1974) Field experience of break-away lighting columns. Report LR 660, Road Research Laboratory, Crowthorne, Berkshire.
42.
Yoo, S.H. and Kwak, S.J. (2002) Using a spike model to deal with zero response data from double bounded dichotomous choice contingent valuation, Applied Economic Letters, 9, pp. 929-939.
