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Taxonomic Analysis of Differentiation of Situations on Local Labor Markets in the Pressure Area of Chopin Airport in Warsaw as a Method for Regional Development Management

Open Access
|Dec 2019

Abstract

Subject and purpose of work: Recently, research into the impact of air transport on the situation on local labor markets has been of great practical importance. These issues have become a source of interest in the study. The purpose of the article is an attempt to use taxonomic methods to analyze the spatial diversity of counties located in the catchment area (100 km) of Warsaw Chopin Airport due to the situation on local labor markets.

Materials and methods: Taxonomic methods were used as the research tool. The text also presents the methodology for identifying statistical units located in these areas, indicated by the Geostatistics Portal.

Results: The conducted process allowed to assess the impact of air transport on the economic situation on the local labor market due to the indicators selected for the study. The proposed method is a new, effective, useful and modern approach to obtaining and analyzing statistical data for the areas of influence of Polish airports. It should also be emphasized that it constitutes a certain contribution of the author to the development of research on the impact of air transport on the socio-economic development of regions.

Conclusions: The analysis allowed us to generally illustrate the spatial inequalities of the units selected for testing due to the adopted measures.

DOI: https://doi.org/10.2478/ers-2019-0033 | Journal eISSN: 2451-182X | Journal ISSN: 2083-3725
Language: English
Page range: 362 - 371
Submitted on: Oct 1, 2019
Accepted on: Nov 1, 2019
Published on: Dec 26, 2019
Published by: John Paul II University of Applied Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Agata Surówka, published by John Paul II University of Applied Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.