Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/37359
Title: Air connectivity and regional employment: a spatial econometrics approach
Authors: LENAERTS, Bert 
Allroggen, Florian
MALINA, Robert 
Issue Date: 2023
Publisher: ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
Source: Regional studies, 57 (3), p. 560-575
Abstract: While there is ample evidence for the existence of positive wider economic impacts of air transportation, the associated spatial distribution of these impacts has received less attention. This paper uses a spatial-econometric approach with instrumental variables on European NUTS-3-level panel data to study the spatial distribution of the impacts of air transport access on a subset of service-sector employment that is not directly affected by activity in the aviation industry. While the spatially resolved approach confirms previous findings that regions close to an airport experience service-sector employment increases due to improved air transport access, we also find evidence for the presence of an agglomeration shadow, that is, negative employment effects for regions further away from an airport. The average total impact of connectivity increases on service employment is found to be positive.
Notes: Lenaerts, B (corresponding author), UHasselt, Ctr Environm Sci, Hasselt, Belgium.
bert.lenaerts@uhasselt.be
Keywords: transportation;aviation;economic geography;agglomeration
Document URI: http://hdl.handle.net/1942/37359
ISSN: 0034-3404
e-ISSN: 1360-0591
DOI: 10.1080/00343404.2022.2059069
ISI #: WOS:000790751700001
Rights: 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis GroupThis is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, orbuilt upon in any way
Category: A1
Type: Journal Contribution
Validations: ecoom 2023
Appears in Collections:Research publications

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