Municipal Waste in Poland: Analysis of the Spatial Dimensions of Determinants Using Geographically Weighted Regression

Antczak Elżbieta ()
Additional contact information
Antczak Elżbieta: University of Lodz, Faculty of Economics and Sociology, Department of Spatial Econometrics, ul. POW 3/5, 90-255Łódź, Poland

European Spatial Research and Policy, 2019, vol. 26, issue 2, 177-197

Abstract: This article provides a quantification of the territorially varied relation between socioeconomic factors and the amount of municipal waste in Polish districts. For this purpose, eight causes were identified: revenue budgets, the number and area of uncontrolled dumping sites, population density, the share of working-age population, average gross monthly wages, registrations for permanent residence, and the number of tourists accommodated. The preliminary data analysis indicated that to understand waste generation in Poland at the local level it is necessary to consider regional specificity and spatial interactions. To increase the explained variability of phenomena, and emphasise local differences in the amount of waste, geographically weighted regression was applied.

Keywords: municipal waste; Polish districts; regional heterogeneity and spatial interactions; socio-economic factors; geographically weighted regression (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.18778/1231-1952.26.2.09 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:eusprp:v:26:y:2019:i:2:p:177-197:n:9

DOI: 10.18778/1231-1952.26.2.09

Access Statistics for this article

European Spatial Research and Policy is currently edited by Tadeusz Marszał

More articles in European Spatial Research and Policy from Sciendo
Bibliographic data for series maintained by Peter Golla ().