A REGRESSION MODEL FOR PREDICTING THE ECONOMIC IMPACTS OF CANADIAN AIRPORTS

D W Benell · BE Prentice

18 citations0/0 files storedLogistics and transportation review

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Aviation Industry Analysis and Trends Regional Economics and Spatial Analysis Regional Economic and Spatial Analysis

Abstract

An econometric analysis was undertaken in an attempt to estimate the relationships between sets of readily available indicators of airport activity and the economic impacts of Canadian airports. The result is an econometric model that can be used to update economic impacts, and that provides elasticities of airport employment and revenue. These elasticities can be used to predict the effects on an airport's direct economic impacts of changes in such variables as passenger numbers and local economic conditions.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 18 citations exist upstream.

Cited by

2017MACROECONOMIC DETERMINANTS OF DEMAND FOR AIR PASSENGER TRANSPORT AMONG SELECTED AIRLINES 2022The Impact of Air Cargo on Regional Economic Development: Evidence from Chinese Cities 2000A simple revenue-cost perspective on US airport operations 2016Spatial economic attributes of airport-centric developments in Cape Town and Johannesburg

Imported from OpenAlex (CC0) — nothing here is generated.