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Socio-demographic determinants of municipal waste generation: case study of the Czech Republic

  • Kristýna Rybová
  • Jan Slavík
  • Boris Burcin
  • Jana Soukopová
  • Tomáš Kučera
  • Alena Černíková
REGIONAL CASE STUDY
  • 86 Downloads

Abstract

Increasing pressure of the European Union on diverting municipal waste from landfills requires an active role of households and commands a radical change of their behavior. Knowledge of behavioral patterns enables an effective design of municipal waste management systems. Based on several factors influencing environmental behavior, this paper aims at analyzing differences in municipal waste generation among Czech municipalities using socio-demographic factors. A set of 12 characteristics for 5445 Czech municipalities was investigated. Using ordinary least squares regression, we developed a model with eight indicators describing household size, gender, completed education level and diverse housing characteristics. Even though the model explains only 5.1% of waste generation variability among Czech municipalities, it is statistically significant. Other factors such as age or population density do not improve the model significantly. The resulting model will be used as a basis for further spatial analysis.

Keywords

Municipal waste generation Environmental behavior Influencing factors Demographic change Ordinary least square regression 

Notes

Acknowledgements

This paper is supported by the Czech Science Foundation under project no. 16-14409 “Demographic development and behavioral aspects (e.g., ‘crowding-out’ effect) and their impact on the municipal waste charging policy”.

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Copyright information

© Springer Japan KK, part of Springer Nature 2018

Authors and Affiliations

  • Kristýna Rybová
    • 1
  • Jan Slavík
    • 2
  • Boris Burcin
    • 1
  • Jana Soukopová
    • 3
  • Tomáš Kučera
    • 1
  • Alena Černíková
    • 4
  1. 1.Department of Demography and Geodemography, Faculty of ScienceCharles UniversityPragueCzech Republic
  2. 2.Faculty of Social and Economic StudiesJan Evangelista Purkyně University in Ústí nad LabemÚstí nad LabemCzech Republic
  3. 3.Department of Public Economics, Faculty of Economics and AdministrationMasaryk UniversityBrnoCzech Republic
  4. 4.Institute of Applied Mathematics and Information Technologies, Faculty of ScienceCharles UniversityPragueCzech Republic

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