| Literature DB >> 32546447 |
Cosimo Magazzino1, Marco Mele2, Nicolas Schneider3.
Abstract
Municipal solid waste generation is becoming a prominent issue in the environmental arena. The aim of this paper is to investigate the relationship among municipal waste generation, greenhouse gas emissions, and GDP in Switzerland over the period 1990-2017. We apply both time series procedures (stationarity and causality tests) and a Machine Learning approach. Empirical findings underline a bidirectional causal relationship between municipal solid waste generation and GDP, indicating that the Environmental Kuznets Curve hypothesis holds for Switzerland. Moreover, we found that waste recovery (recycling and composting) is a key driver in mitigating greenhouse gas emissions. In fact, in the Tree Model, the probability that a change in the waste recovery variable could lead to a reduction in the greenhouse gas emissions registered a value of 87%.Entities:
Keywords: Environmental sustainability; Greenhouse gas; Machine Learning; Municipal solid waste; Recycling; Waste sector
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Year: 2020 PMID: 32546447 DOI: 10.1016/j.wasman.2020.05.033
Source DB: PubMed Journal: Waste Manag ISSN: 0956-053X Impact factor: 7.145