Separate waste collection in mountain municipalities. A case study in Campania |
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| Affiliation: | 1. Department of Economic and Legal Studies, University of Naples “Parthenope”, Naples, Italy;2. Department of Management and Quantitative Studies, University of Naples “Parthenope”, Naples, Italy;1. School of Economics, Peking University, Beijing, 100871, PR China;2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, PR China;3. Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing, 100101, PR China;4. Department of Science and Technology, Parthenope University of Naples, Centro Direzionale, Isola C4, 80143, Naples, Italy;5. School of Environment, Beijing Normal University, Beijing, PR China;1. East-West Center, Honolulu, HI, United States;2. Department of Geography, UC Santa Barbara, United States;3. University of Colorado, Population Program and Geography Department, United States;4. University of Florida, Department of Geography and the Emerging Pathogens Institute, United States;1. Faculty of Humanities, Social Sciences and Education – UiT – the Arctic University of Norway;2. Faculty of Bioscience, Fisheries and Economy, UiT – the Arctic University of Norway, Norway;3. Faculty of Humanities, Social Sciences and Education – UiT – the Arctic University of Norway;4. Faculty of Bioscience, Fisheries and Economy, UiT – the Arctic University of Norway, Norway;1. Department of Economics and Statistics “Cognetti de Martiis”, University of Turin, Italy;2. Department of Agriculture, Forest and Food Sciences, University of Turin, Italy;3. Research Centre for Rural Development of Hilly Areas, University of Turin, Italy |
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| Abstract: | This paper aims to analyse the impact of land characteristics (i.e. altimetry and housing dispersion) on separate waste collection, with a focus on mountain municipalities. The high spatial heterogeneity of the driving factors of separate waste collection allows traditional techniques, such as OLS, to offer only a partial depiction of the situation, missing important information. In this view, we perform the Geographically Weighted Regression (GWR), which allows to control for the local determinants of waste management. Our data cover 550 municipalities of Campania, in Southern Italy. We control for a set of morphological and socio-economic variables, drawn from official records for 2012. Our results show that the relationships between land characteristics and separate waste collection are not constant over space. Moreover, they suggest that in the presence of non-modifiable factors (such as land characteristics) local governments should act on citizen motivations, promoting awareness on environmental issues, and should implement time-saving collection methods. |
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| Keywords: | Environmental economics Solid waste Separate waste collection Geographically weighted regression Italy |
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