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Title: Landfill taxes and Enhanced Waste Management: combining valuable practices with respect to future waste streams
Authors: HOOGMARTENS, Rob 
Eyckmans, Johan
Issue Date: 2016
Source: WASTE MANAGEMENT, 55, p. 345-354
Abstract: Both landfill taxes and Enhanced Waste Management (EWM) practices can mitigate the scarcity issue of landfill capacity by respectively reducing landfilled waste volumes and valorising future waste streams. However, high landfill taxes might erode incentives for EWM, even though EWM creates value by valorising waste. Based on Flemish (Belgian) data, this chapter applies dynamic optimisation modelling techniques to analyse how landfill taxation and EWM can reinforce each other and how taxation schemes can be adjusted in order to foster sustainable and welfare maximising ways of processing future waste streams. Based on the Flemish simulation results, insights are offered that are generally applicable in international waste and resource management policy. As shown, the optimal Flemish landfill tax that optimises welfare in the no EWM scenario is higher than the one in the EWM scenario (€93 against €50/ton). This difference should create incentives for applying EWM and is driven by the positive external effects that are generated by EWM practices. In Flanders, as the current landfill tax is slightly lower than these optimal levels, the choice that can be made is to further increase taxation levels or show complete commitment to EWM. A first generally applicable insight that was found points to the fact that it is not necessarily the case that the higher the landfill tax, the more effective waste management improvements can be realised. Other insights are about providing sufficient incentives for applying EMW practices and formulating appropriate pleas in support of technological development. By these insights, this chapter should provide relevant information that can assist in triggering the transition towards a resource-efficient, circular economy in Europe.
Keywords: exhaustible resources; landfill taxation; enhanced Waste Management; waste policy; dynamic optimisation modelling
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ISSN: 0956-053X
e-ISSN: 1879-2456
DOI: 10.1016/j.wasman.2016.03.052
ISI #: 000381535200036
Rights: © 2016 Elsevier Ltd. All rights reserved.
Category: A1
Type: Journal Contribution
Validations: ecoom 2017
Appears in Collections:Research publications

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