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Macroeconomic Predictor for Recovery Rate of Construction and Demolition Waste. A Neural Networks Model for Romania

Abstract The common values of a circular economy are concentrated in decoupling economic growth from resource consumption; resource efficiency; waste management; sharing; reducing greenhouse gas emissions; lifecycle assessments and closing loops. With the increasing cost of natural resources as a real EU scenario, industries will significantly benefit from shifting towards a more circular approach. The aim of this paper is to analyses the waste management actions, especially for construction and demolition sector, in Romania in the EU-28 context by applying statistical methods and neural network modelling to find the best macroeconomic predictor for recovery rate of construction and demolition waste for period 2010-2020.