European Spatial Research and Policy


This article provides a quantification of the territorially varied relation between socio-economic 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.


municipal waste, Polish districts, regional heterogeneity and spatial interactions, socio-economic factors, geographically weighted regression




ADVISORY GROUP TEST HUMAN RESOURCES (2014), Labour Market and Human Resources in Kraków, Business in Małopolska. Orange Report, [accessed on: 10.10.2018].

AKAIKE, H. (1973), ‘Information theory and the maximum likelihood principle’ [in]: PETROV, B.N. and CSAKI, F. (eds.), Selected Papers of Hirotugu Akaike. Springer Series in Statistics (Perspectives in Statistics). New York: Springer, pp. 199–213.

ANDY, M. (2005), The ESRI Guide to GIS Analysis. Volume 2: Spatial Measurements and Statistics and Zeroing In: Geographic Information Systems at Work in the Community. Boston: ESRI Press.

ANSELIN, L. (2010), ‘Thirty years of spatial econometrics’, Papers in Regional Science, 89, pp. 3–25.

ANTCZAK, E. (2014), ‘Economic Development and Transfrontier Shipments of Waste in Poland – Spatio-Temporal Analysis’, Comparative Economic Research, 17 (4), pp. 6–21.

BACH, H., MILD, A., NATTER, M. and WEBER, M. (2004), ‘Combining socio-demographic and logistic factors to explain the generation and collection of waste paper’, Resources, Conservation and Recycling, 41 (1), pp. 65–73.

BEIGL, P., LEBERSORGER, S. and SALHOFER, S. (2008), ‘Modelling municipal solid waste generation: A review’, Waste Management, 28 (1), pp. 200–214.

BEIGL, P., SALHAFER, S., WASSERMAN, G., MAĆKÓW, I., SEBASTIAN, M. and SZPADT, R. (2004), ‘Forecasting municipal solid waste generation in major European cities’, International Congress: Complexity and Integrated Resources Management, Osnabrück, Germany. [accessed on: 10.05.2019].

BOER DEN, E., JĘDRCZAK, A., KOWALSKI, Z., KULCZYCKA, J. and SZPADT, R. (2010), ‘A review of municipal solid waste composition and quantities in Poland’, Waste Management, 30 (3), pp. 369–377.

BOWMAN, A. (1984), ‘An Alternative Method of Cross-Validation for the Smoothing of Density Estimate’, Biometrika, 71, pp. 353–360.

BRUNSDON, C., FOTHERINGHAM, A.S. and CHARLTON, M.E. (1996), ‘GWR: A Method for Exploring Spatial Nonstationarity’, Geographical Analysis, 28 (4), pp. 281–298.

CHARLTON, M. and FOTHERINGHAM, A.S. (2009), Geographically weighted regression. Maynooth: National Centre for Geocomputation.

CHEBA, K. (2014), ‘Methods of Forecasting Changes of Municipal Waste Production in case of Cities’, Acta Universitatis Lodzensis. Folia Oeconomica, 3 (302), pp. 223–229.

CLEVELAND, W.S. (1979), ‘Robust Locally Weighted Regression and Smoothing Scatterplots’, Journal of American Statistical Association, 74 (368), pp. 829–836.

COUNCIL OF MINISTRY (2016), National Waste Management Plan 2022, Annex to the Resolution No 88 of the Council of Ministers of 1 July 2016 (item 784), Warsaw. [accessed on: 12.11.2018].

CYRANKA, M., JURCZYK, M. and PAJĄK, T. (2016), ‘Municipal Waste-to-Energy plants in Poland–current projects’. E3S Web Conf. Volume 10, 1st International Conference on the Sustainable Energy and Environment Development (SEED 2016).

ERTUR, C. and LE GALLO, J. (2008), ‘Regional Growth and Convergence: Heterogenous reaction versus interaction in spatial econometric approaches’, LEO Working Papers/DR LEO 1423, Orleans Economics Laboratory, Orleans: University of Orleans.

EUROPEAN COMISSION (2008), Directive 2008/98/EC. [accessed on: 12.10.2018].

EUROPEAN COMISSION (2018), Eastern Poland more attractive for inhabitants and investors. [accessed on: 12.10.2018].

FINGLETON, B. (1999), ‘Spurious Spatial Regression: Some Monte Carlo Results with a Spatial Unit Root and Spatial Cointegration’, Journal of Regional Science, 39 (1), pp. 1–19.

FOTHERINGHAM, A.S., BRUNSDON, C. and CHARLTON, M.E. (2000), Quantitative geography: perspectives on spatial data analysis. London: Sage.

FOTHERINGHAM, A.S., BRUNSDON, C. and CHARLTON, M.E. (2002), Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Chichester: Wiley.

GENEROWICZ, A., KOWALSKI, Z. and KULCZYCKA, J. (2011), ‘Planning of Waste Management Systems in Urban Area Using Multi-criteria Analysis’, Journal of Environment Protection, 2 (6), pp. 736–743.

GETIS, A. and ALDSTADT, J. (2004), ‘Constructing the Spatial Weights Matrix Using a Local Statistic’, Geographical Analysis, 36 (2), pp. 90–104.

GOLLINI, I., LU, B., CHARLTON, M., BRUNSDON, C. and HARRIS, P. (2015), ‘GWR model: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models’, Journal of Statistical Software, 63 (17), pp. 1–50.

HAGE, O. and SÖDERHOLM, P. (2008), ‘An econometric analysis of regional differences in household waste collection: the case of plastic packaging waste in Sweden’, Waste Management, 28 (10), pp. 1720–1731.

HOCKETT, D., LOBER, D.J. and PILGRIM, K. (1995), ‘Determinants of Per Capita Municipal Solid Waste Generation in the Southeastern United States’, Journal of Environment Management, 45 (3), pp. 205–217.

HUNG, M.L., MA, H.W. and YANG, W.F. (2007), ‘A novel sustainable decision making model for municipal solid waste management’, Waste Management, 27 (2), pp. 209–219.

IOANNOU, T., LASARIDI, K. and KALOGIROU, S. (2010), ‘Spatial analysis of the recyclable municipal solid waste collection’. [accessed on: 5.10.2018].

ISMAILIA, A.B., MUHAMMED, I., BIBI, U.M. and HUSAIN, M.A. (2015), ‘Modelling Municipal Solid Waste Generation Using Geographically Weighted Regression: A Case Study of Nigeria’, Journal of Environmental Science, 4 (8), pp. 98–108.

JALIGOT, R. and CHENAL, J. (2018), ‘Decoupling municipal solid waste generation and economic growth in the canton of Vaud, Switzerland, Resources’, Conservation and Recycling, 130, pp. 260–266.

KESER, S. (2012), ‘Investigation of the Spatial Relationship of Municipal Solid Waste Generation in Turkey with Socio-Economic, Demographic and Climatic Factors’. [accessed on: 5.10.2018].

KESER, S., DUZGUN, S. and AKSOY, A. (2010), ‘Application of spatial and non-spatial data analysis in determination of the factors that impact municipal solid waste generation rates in Turkey’, Waste Management, 32, pp. 359–371.

KHAN, D., KUMAR, A. and SAMADDER, S.R. (2016), ‘Impact of socioeconomic status on municipal solid waste generation rate’, Waste Management, 49, pp. 15–25.

KLOJZY-KARCZMARCZYK, B. and MAKOUDI, S. (2017), ‘Analysis of municipal waste generation rate in Poland compared to selected European countries’. [accessed on: 5.10.2018].

KOŁSUT, B. (2016), ‘Inter-Municipal Cooperation in Waste Management: The Case of Poland’, Quaestiones Geographicae, 35 (2), pp. 91–104.

KOSZEWSKA, M. (2016), ‘Analysis of the legal framework in the sustainability area across v4 countries’, Polish report prepared in the framework of the project Prospects of the Visegrad cooperation in promoting a sustainable consumption and production model. [accessed on: 20.07.2018].

KUKUŁA, K. (2016), ‘Municipal Waste Management in Poland in the Light of Multi Dimensional Comparative Analysis’, Acta Scientiarum Polonorum Oeconomia, 15 (4), pp. 93–103.

LEUNG, Y., MEI, C.L. and ZHANG, W.X. (2000), ‘Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model’, Environment and Planning A: Economy and Space, 32 (1), pp. 9–32.

LOADER, C.R. (1999), ‘Bandwidth selection: classical or plug-in?’, The Annals of Statistics, 27 (2), pp. 415–438.

LU, B., YANG, W., GE, Y. and HARRIS, P. (2018), ‘Improvements to the calibration of a geographically weighted regression with parameter-specific distance metrics and bandwidths’, Computers, Environment and Urban Systems, 71, pp. 41–57.

MATTHEWS, S.A. and YANG, T.C. (2016), ‘Mapping the results of local statistics: Using geographically weighted regression’, Demographic Research, 26, pp. 151–166.

MINISTRY OF THE ENVIRONMENT (2017). [accessed on: 20.10.2018].

MORAN, P.A.P. (1950), ‘Notes on Continuous Stochastic Phenomena’, Biometrika, 37(1), pp. 17–23.

THE ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT (2015), ‘Environmental Performance Reviews, Poland Highlights’. [accessed on: 12.10.2015].

PASIECZNIK I., BANASZKIEWICZ, K. and SYSKA, Ł. (2017), ‘Local community e-waste awareness and behavior. Polish case study’, Environmental Protection Engineering, 43 (3), pp. 287–303.

RYBOVA, K. (2019), ‘Do Sociodemographic Characteristics in Waste Management Matter? Case Study of Recyclable Generation in the Czech Republic’, Sustainability, 11 (2030), pp. 1–15.

RYBOVA, K, BURCIN, B. and SLAVIK, J. (2018), ‘Spatial and non-spatial analysis of socio-demographic aspects influencing municipal solid waste generation in the Czech Republic’, Detritus, 1, pp. 3–7.

SCHULTZ, P., OSKAMP, S. and MAINIERI, T. (1995), ‘Who recycles and when? A review of personal and situational factors’, Journal of Environmental Psychology, 5 (2), pp. 105–121.

STERNER, T. and BARTELINGS, H. (1999), ‘Household waste management in a Swedish municipality: determinants of waste disposal, recycling and composting’, Environmental and Resource Economics, 13 (4), pp. 473–491.

TAŁAŁAJ, I.A. (2011), ‘The influence of chosen socio-economical factors on change of waste quantity in Podlaskie province’, Inżynieria Ekologiczna, 25, pp. 146–156.

UNITED NATIONS ENVIRONMENT PROGRAMME (2011), ‘Decoupling natural resource use and environmental impacts from economic growth’. [accessed on: 20.07.2018].

ZEMANEK, J, WOŹNIAK, A. and MALINOWSKI, M. (2011), ‘The role and place of solid waste transfer station in the waste management system’, Infrastruktura i Ekologia Terenów Wiejskich, 11, pp. 5–13.

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