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Marco Mele, Associate Professor
Marco Mele, Associate Professor
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Title
Cited by
Cited by
Year
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
2722021
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
2382020
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
1692021
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
1582020
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
1512020
Wagner’s Law and Peacock and Wiseman’s displacement effect in European Union countries: A panel data study
C Magazzino, L Giolli, M Marco
International journal of economics and financial issues 5 (3), 812-819, 2015
1382015
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
1232021
On the relationship between transportation infrastructure and economic development in China
C Magazzino, M Mele
Research in Transportation Economics 88, 100947, 2021
1082021
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
922021
The determinants of health expenditure in Italian regions
C Magazzino, M Mele
Magazzino, C., Mele, M.,(2012), The Determinants of Health Expenditure in …, 2012
872012
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
832021
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
822021
Energy consumption and economic growth in Italy: A wavelet analysis
C Magazzino, M Mutascu, M Mele, SA Sarkodie
Energy Reports 7, 1520-1528, 2021
792021
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
782021
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
732021
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
672021
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
592021
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
492022
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
482022
The relationship between nuclear energy consumption and economic growth: evidence from Switzerland
C Magazzino, M Mele, N Schneider, G Vallet
Environmental Research Letters 15 (9), 0940a5, 2020
482020
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