Acta Marisiensis.
Seria Technologica



ISSN 2668-4217
ISSN-L 2668-4217
(Online)


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Volum 21 (XXXVIII), nr 1
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2022, Volume 19 (XXXVI), no 1

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

Author(s):
Argeime LOPEZ, Research & Development Department, Daw Bența Romania, Sâncraiu de Mureș, Romania
Manuela Rozalia GABOR, ”G.E. Palade” University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, 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.

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

Pages: 22-27

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Update: 18-Dec-2024 © Published by University Press