<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

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

Research & Development Department, Daw Bența Romania

“G.E. Palade” University of Medicine, Pharmacy, Science and Technology of Târgu Mureș

Acta Marisiensis. Seria Technologica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The common values of a circular economy are concentrated in decoupling economic growth from resource consumption; resource efficiency; waste management;...

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

Data publikacji: 19 maj 2022

Zakres stron: 22 - 27

DOI: https://doi.org/10.2478/amset-2022-0005

Słowa kluczowe
waste management, neural networks, Romania, EU-28, constructions and demolition waste

© 2022 Argeime Lopez et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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

Data publikacji: 19 maj 2022

Zakres stron: 22 - 27

DOI: https://doi.org/10.2478/amset-2022-0005

Słowa kluczowewaste management, neural networks, Romania, EU-28, constructions and demolition waste

© 2022 Argeime Lopez et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
waste management, neural networks, Romania, EU-28, constructions and demolition waste