Using meta-regression to determine Noise Depreciation Indices for Asian airports

Bibliographic Data

ID12337000
AuthorsZia Wadud (0000-0003-2692-8299, University of Leeds, corresponding author)
Year2013
Volume30
Issue2
Pages127-141
Publication date2013-03-14
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAsian Geographer (JOURNAL)
Journal identifiersISSN: 1022-5706 • E-ISSN: 2158-1762
PublisherRoutledge (PUBLISHER • GB)
DOI10.1080/10225706.2013.778580
OpenAlexW2088338912
LanguageEN
Citations received1
References cited16

The external costs of aviation noise are an important input in policy assessment for cost-benefits analysis. The Noise Depreciation Index (NDI) is used to capture the externality costs through measuring the depreciation of property prices (PPs) exposed to aviation noise. This paper summarizes existing studies on NDI and examines the underlying differences in order to transfer these NDI values to other parts of the world, where NDI estimates are not directly available. We find that higher wealth, expressed in terms of PPs, relative PPs or income, result in higher values of NDI. This means that wealthier households de-value the PPs more than the average in the presence of aircraft noise. The income dependence allows the NDI estimates to be transferred to other locations using local PPs or income for cost–benefit analysis. Estimates of NDI for some Asian countries using the meta-regression results are also provided

Aviation · Depreciation (economics · Econometrics · Economics · Externality · Index (typography · Meta-analysis · Meta-regression · Microeconomics · Noise (video · Property value · Real estate · Aviation Industry Analysis and Trends · Computer Science · Engineering · Housing Market and Economics · Noise Effects and Management · Finance

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