In this paper, we use stochastic dynamic programming to model the choice of a municipality which has to design an optimal waste management program under uncertainty about the price of recyclables in the secondary market. The municipality can, by undertaking an irreversible investment, adopt a...

Though reduction is at the top of the waste management hierarchy, EU policies have historically introduced waste management incentives mainly concerning waste recovery and recycling, in addition to actions aimed at reducing disposal in landfills. Only very recently have EU policies started...

Increasing material use efficiency is important to mitigate future supply risks and minimize environmental impacts associated with the production of the materials. The policy mix presented in this paper aims to reduce the use of virgin metals in the EU by 80% by 2050. We used a heuristic...

Urban water and wastewater management are relatively under-studied subjects in India. The Indian urban space has been understood in an undifferentiated manner, which ignores the specificities deriving from the stage of urban development, the sources of water, as also the diverse nature of...

Despite public approval from the Danish Environmental Protection Agency (Miljøstyrelsen), farmers have proven reluctant to accept wastewater sludge as a source of fertilizer. They are in fact still being paid for accepting it. Based on interviews with key stakeholders, a review of the...

Assessing the economic consequences of sustainable production choices aimed at reducing environmental negative externalities is crucial for policy making, in light of the increasing interest and awareness experienced in the recent EU policy packages (Circular Economy package; European Green Deal...

Applying clustering techniques, this paper identifies homogeneous groups of enterprises within the heterogeneous landscape of the italian manufacturing tissue. The algorithm will be fed with data from a survey on a cross-section of SMEs in 2019. The set of questions span from economic and...