This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Phasing out polluting motorcycles in Bangkok : policy design by using contingent valuation surveys

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Jian Xie
Shah, Jitendra J.
Capannelli, Elisabetta
Hua Wang

Additional information is available for the following registered author(s):

Abstract

The authors use a contingent valuation method to study the design of economic incentives to phase out polluting motorcycles in Bangkok. Like in many other cities, the government of Bangkok has been considering a series of control measures to discourage and eventually eliminate the use of heavily polluting motorcycles. Two of the possible policy instruments under consideration are charges on those polluting vehicles which are operating in the streets and compensation to those polluting vehicles which would stay off the roads. The policy research questions then include (1) what are the charges implied or compensation provided, given a policy target, and (2) what are the reactions of motorcycle owners to those charges or compensation. To answer those policy questions, the authors conducted a stochastic contingent valuation survey in Bangkok to question motorcycle owners on the likelihood they would keep or give up riding their motorcycles in the streets given certain charges or compensations. Results show that among others, about 80 percent of those motorcycles which did not pass the emission tests would be off the streets if a charge of 1,000 baht a year was levied, while under a one-time compensation of 10,000 baht, the number would be about 50 percent. The authors also estimate the average values of maximum willingness to pay (WTP) for staying on the road and minimum willingness to accept (WTA) compensation for staying off the street, and analyze the determinants of WTP and WTA. Their econometric analysis shows that, among other factors, household income, fuel costs, use of motorcycles, and/or public transit affect the value of WTP and WTA.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www-wds.worldbank.org/servlet/WDSContentServer/WDSP/IB/2004/09/22/000160016_20040922160445/Rendered/PDF/WPS3402.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by The World Bank in its series Policy Research Working Paper Series with number 3402.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length:
Date of creation: 01 Jun 2003
Date of revision:
Handle: RePEc:wbk:wbrwps:3402

Contact details of provider:
Postal: 1818 H Street, N.W., Washington, DC 20433
Email:
Web page: http://www.worldbank.org/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Roula I. Yazigi).

Related research
Keywords: Environmental Economics&Policies Rural Transport Public Sector Economics&Finance Roads&Highways Primary Metals Roads&Highways Environmental Economics&Policies Transport and Environment Urban Transport Public Sector Economics&Finance

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Whittington, Dale & Hua Wang, 2000. "Willingness to pay for air quality improvements in Sofia, Bulgaria," Policy Research Working Paper Series 2280, The World Bank. [Downloadable!]
Full references

Statistics
Access and download statistics

Did you know? Over 800 institutions contribute their bibliographic data directly to this service.

This page was last updated on 2008-10-3.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.