Marco Mele

@ricerca.unicusano.it

Associate Professor in Economics
Unicusano University



           

https://researchid.co/marcomele

Marco Mele is an Associate Professor of Economic Policy at the Niccolò Cusano University of Rome, qualified as Full Professor for SSD 13 A2. On January 1, 2023, Marco Mele was appointed by the Ministry of Economy and Finance as Sole Director (CEO) of Servizi Fondo Bombole Metano (SFBM) SPA (GSE Group).
The Professor is also an Editorial Board Member of several international scientific journals in Economics, Energy and Environment and author of more than 70 publications and studies of an international nature (I.F. Scopus 21) in the fields of Economics, Energy, Environment, Transportation, and ICT, most of which represent the result of econometric and statistical models and lately, of experiments in Machine Learning.
He has received awards and recognition for his scientific activity, organized and participated in numerous international conferences.
Marco Mele also served from 2020 to 2022 as Economic Advisor to the Undersecretary of State for Publishing at the Presidency of the Council o

RESEARCH, TEACHING, or OTHER INTERESTS

Economics and Econometrics, Energy, Modeling and Simulation, Renewable Energy, Sustainability and the Environment

3205

Scholar Citations

29

Scholar h-index

44

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • The role of circular economy in EU entrepreneurship: A deep learning experiment
    G Morelli, C Pozzi, AR Gurrieri, M Mele, A Costantiello, C Magazzino
    The Journal of Economic Asymmetries 30, e00372 2024

  • Regional Disparities and Strategic Implications of Hydrogen Production in 27 European Countries
    C Magazzino, M Mele, A Leogrande
    Regional Science and Environmental Economics 1 (1), 3-30 2024

  • Pharmaceutical consumption, economic growth and life expectancy in the OECD: the application of a new causal direction from dependency algorithm and a DeepNet process
    C Magazzino, M Auteri, N Schneider, F Ofria, M Mele
    Journal of Economic Studies 51 (9), 249-271 2024

  • The double sustainability: the link between government debt and renewable energy
    M Auteri, M Mele, I Ruble, C Magazzino
    The Journal of Economic Asymmetries 29, e00356 2024

  • The presence of a latent factor in gasoline and diesel prices co-movements
    C Magazzino, M Mele, CT Albulescu, N Apergis, MI Mutascu
    Empirical Economics 66 (5), 1921-1939 2024

  • An analysis of the subjective well-being in the Italian regions through an ANN algorithm
    C Magazzino, M Mele, AR Gurrieri, G Morelli
    Journal of the Knowledge Economy, 1-26 2024

  • Does the Oil Price Slump Cause a Cleaner Energy Transition during Coronavirus Disease 2019 in Italy? Fresh Evidence from Quantile and Wavelet Coherency Analyses
    C Magazzino, M Mele, A Quarto
    Energy Technology 12 (2), 2301044 2024

  • The trilemma among CO2 emissions, energy use, and economic growth in Russia
    C Magazzino, M Mele, C Drago, S Kuşkaya, C Pozzi, U Monarca
    Scientific Reports 13 (1), 10225 2023

  • Gli smart meters, una misura di sostenibilit verde
    AR Gurrieri, G Morelli, M Mele, C Magazzino
    L'industria 44 (1), 153-184 2023

  • Economic and environmental implications of the nuclear power phase-out in Belgium: Insights from time-series models and a partial differential equations algorithm
    U Soytas, C Magazzino, M Mele, N Schneider
    Structural Change and Economic Dynamics 63, 241-256 2022

  • Testing the convergence and the divergence in five Asian countries: from a GMM model to a new Machine Learning algorithm
    C Magazzino, M Mele, N Schneider
    Journal of Economic Studies 49 (6), 1002-1016 2022

  • Innovation, income, and waste disposal operations in Korea: evidence from a spectral granger causality analysis and artificial neural networks experiments
    M Mele, C Magazzino, N Schneider, AR Gurrieri, H Golpira
    Economia Politica 39 (2), 427-459 2022

  • A dynamic factor and neural networks analysis of the co-movement of public revenues in the EMU
    C Magazzino, M Mele
    Italian Economic Journal 8 (2), 289-338 2022

  • A new machine learning algorithm to explore the CO2 emissions-energy use-economic growth trilemma
    C Magazzino, M Mele
    Annals of Operations Research, 1-19 2022

  • Can a change in FDI accelerate GDP growth? Time-series and ANNs evidence on Malta
    C Magazzino, M Mele
    The Journal of Economic Asymmetries 25, e00243 2022

  • The Effectiveness of Vaccination Campaigns on COVID-19 Fatality: A Neural Network Experiment to Guide Policy Responses for Next Pandemic Crises
    M Coccia, M Mele, C Magazzino
    Working Paper CocciaLab 2022

  • Designing smart energy systems in an industry 4.0 paradigm towards sustainable environment
    G Morelli, C Magazzino, AR Gurrieri, C Pozzi, M Mele
    Sustainability 14 (6), 3315 2022

  • Does export product diversification spur energy demand in the APEC region? Application of a new neural networks experiment and a decision tree model
    C Magazzino, M Mele, N Schneider, U Shahzad
    Energy and Buildings 258, 111820 2022

  • A new artificial neural networks algorithm to analyze the nexus among logistics performance, energy demand, and environmental degradation
    C Magazzino, M Mele, N Schneider
    Structural Change and Economic Dynamics 60, 315-328 2022

  • A crise financeira global e seus efeitos sobre os fundos monetrios internacionais
    C Magazzino, M Mele
    Brazilian Journal of Political Economy 42, 5-24 2022

MOST CITED SCHOLAR PUBLICATIONS

  • A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions
    C Magazzino, M Mele, N Schneider
    Renewable Energy 167, 99-115 2021
    Citations: 310

  • The relationship between air pollution and COVID-19-related deaths: an application to three French cities
    C Magazzino, M Mele, N Schneider
    Applied Energy 279, 115835 2020
    Citations: 248

  • A machine learning analysis of the relationship among iron and steel industries, air pollution, and economic growth in China
    M Mele, C Magazzino
    Journal of Cleaner Production 277, 123293 2020
    Citations: 177

  • Pollution, economic growth, and COVID-19 deaths in India: a machine learning evidence
    M Mele, C Magazzino
    Environmental Science and Pollution Research 28, 2669-2677 2021
    Citations: 174

  • The relationship between municipal solid waste and greenhouse gas emissions: Evidence from Switzerland
    C Magazzino, M Mele, N Schneider
    Waste Management 113, 508-520 2020
    Citations: 169

  • Waste generation, wealth and GHG emissions from the waste sector: Is Denmark on the path towards circular economy?
    C Magazzino, M Mele, N Schneider, SA Sarkodie
    Science of the Total Environment 755, 142510 2021
    Citations: 152

  • Wagner’s Law and Peacock and Wiseman’s displacement effect in European Union countries: A panel data study
    C Magazzino, L Giolli, M Mele
    International journal of economics and financial issues 5 (3), 812-819 2015
    Citations: 147

  • On the relationship between transportation infrastructure and economic development in China
    C Magazzino, M Mele
    Research in Transportation Economics 88, 100947 2021
    Citations: 131

  • The nexus between COVID-19 deaths, air pollution and economic growth in New York state: Evidence from Deep Machine Learning
    C Magazzino, M Mele, SA Sarkodie
    Journal of Environmental Management 286, 112241 2021
    Citations: 100

  • The relationship between renewable energy and economic growth in a time of Covid-19: a machine learning experiment on the Brazilian economy
    C Magazzino, M Mele, G Morelli
    Sustainability 13 (3), 1285 2021
    Citations: 99

  • Nature and climate change effects on economic growth: an LSTM experiment on renewable energy resources
    M Mele, AR Gurrieri, G Morelli, C Magazzino
    Environmental Science and Pollution Research 28, 41127-41134 2021
    Citations: 97

  • The nexus between information technology and environmental pollution: Application of a new machine learning algorithm to OECD countries
    C Magazzino, M Mele, G Morelli, N Schneider
    Utilities Policy 72, 101256 2021
    Citations: 96

  • The determinants of health expenditure in Italian regions
    C Magazzino, M Mele
    Magazzino, C., Mele, M.,(2012), The Determinants of Health Expenditure in 2012
    Citations: 90

  • Energy consumption and economic growth in Italy: A wavelet analysis
    C Magazzino, M Mutascu, M Mele, SA Sarkodie
    Energy Reports 7, 1520-1528 2021
    Citations: 87

  • A D2C algorithm on the natural gas consumption and economic growth: challenges faced by Germany and Japan
    C Magazzino, M Mele, N Schneider
    Energy 219, 119586 2021
    Citations: 77

  • A machine learning algorithm to analyse the effects of vaccination on COVID-19 mortality
    C Magazzino, M Mele, M Coccia
    Epidemiology & Infection 150, e168 2022
    Citations: 75

  • Can biomass energy curtail environmental pollution? A quantum model approach to Germany
    C Magazzino, M Mele, N Schneider, M Shahbaz
    Journal of Environmental Management 287, 112293 2021
    Citations: 70

  • A new artificial neural networks algorithm to analyze the nexus among logistics performance, energy demand, and environmental degradation
    C Magazzino, M Mele, N Schneider
    Structural Change and Economic Dynamics 60, 315-328 2022
    Citations: 67

  • NO2 levels as a contributing factor to COVID-19 deaths: The first empirical estimate of threshold values
    M Mele, C Magazzino, N Schneider, V Strezov
    Environmental research 194, 110663 2021
    Citations: 66

  • A new machine learning algorithm to explore the CO2 emissions-energy use-economic growth trilemma
    C Magazzino, M Mele
    Annals of Operations Research, 1-19 2022
    Citations: 60