Mapping Eco-Innovation Dynamics in the EU: A Neural Network Approach
Mapping Eco-Innovation Dynamics in the EU: A Neural Network Approach

Author(s): Miljana Talić, Žarko Rađenović, Ivana Janjić
Subject(s): Social Sciences
Published by: Udruženje ekonomista i menadžera Balkana
Keywords: Eco-innovation index; Environmental impact; Eco-innovation performance; Sustainable development
Summary/Abstract: This paper compares the eco-innovation performance of EU member states based on the eco-innovation index. The comparison was made between two periods, 2013-2017 and 2018-2022, taking into account five groups of indicators of the eco-innovation index. The authors used a software solution grounded on neural networks to determine the correlation, relationship structure, and contribution of the indicators for eco-innovation performances. The research paper seeks to provide novel insights into the complex relationships between different variables influencing eco-innovation, thereby enhancing the understanding of sustainable development pathways in the EU. The structure of the neural network showed the importance of certain indicators that contributed the most to the value of the eco-innovation index. The results showed that in the first period, the best overall performance was achieved in the areas of REO and SCO, while in the second period, in addition to REO and SCO, EA also stood out.

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