Marco Mele

Luspio University - School of Political Sciences

Rome

Italy

SCHOLARLY PAPERS

16

DOWNLOADS

790

SSRN CITATIONS

1

CROSSREF CITATIONS

0

Scholarly Papers (16)

1.

Wagner's Law and Peacock and Wiseman's Displacement Effect In European Union Countries: A Panel Data Study

International Journal of Economics and Financial Issues, 5, 3, 812-819, ISSN: 2146-4138
Number of pages: 8 Posted: 25 Jul 2015
University of Rome III, University eCampus and Luspio University - School of Political Sciences
Downloads 293 (131,455)
Citation 1

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Wagner’s Law, Public Expenditure, Gross Domestic Product, Economic and Monetary Union, Panel Data

2.

The Determinants of Health Expenditure in Italian Regions

Magazzino, C., Mele, M., (2012), The Determinants of Health Expenditure in Italian Regions, International Journal of Economics and Finance, 4, 3, 61-72, March 2012
Number of pages: 12 Posted: 03 Oct 2013
Cosimo Magazzino and Marco Mele
University of Rome III and Luspio University - School of Political Sciences
Downloads 221 (173,988)

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Health policies, Households’ expenditure, GSP, Panel data, Italian regions

3.

The Elliott's Wave Theory: Is it True During the Financial Crisis?

Magazzino, C., Mele, M., Prisco, G., (2012), The Elliott’s Wave Theory: Is It True During the Financial Crisis?, Journal of Money, Investment and Banking, 24, 100-108
Number of pages: 9 Posted: 01 Oct 2013
University of Rome III, Luspio University - School of Political Sciences and Independent
Downloads 210 (182,570)

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Elliott’s theory, Fibonacci’s sequence, technical analysis, stock market, S&P 500 index

4.

On the East Asian Monetary Union: A 'VAR' Analysis

International Journal of Management Sciences and Business Research, Vol. 1, Issue 8, 2012
Number of pages: 9 Posted: 11 Dec 2015
Marco Mele
Luspio University - School of Political Sciences
Downloads 18 (656,508)

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Optimum Currency Area, Trade integration, Gravity Equation, S-VAR

5.

The Relationship between Renewable Energy and Economic Growth in a Time of COVID-19: A Machine Learning Experiment on the Brazilian Economy

Sustainability, 13, 3, 1285 (2021)
Number of pages: 22 Posted: 25 Feb 2021
University of Rome III, Luspio University - School of Political Sciences and GRIF - Luiss University
Downloads 15 (678,308)

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renewable energy; economic growth; COVID-19; Artificial Neural Networks; Brazil

6.

Euro Crisis or European Governance Crisis?

Rivista Italiana di Economia Demografia e Statistica, 2014
Number of pages: 8 Posted: 21 May 2017
Marco Mele and Olga Marzovilla
Luspio University - School of Political Sciences and Rome University of International Studies (UNINT)
Downloads 13 (693,861)

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Euro Crisis, EMU, Emu Governance

7.

Still on China's Exchange Regime: The Euro and its Role as an Anchor Currency

Asian Journal of Finance & Accounting ISSN 1946-052X 2012, Vol. 4, No. 1
Number of pages: 11 Posted: 20 May 2017
Marco Mele and Paola Allegra Baistrocchi
Luspio University - School of Political Sciences and Independent
Downloads 12 (701,738)

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Exchange Rate, China, Econometric ARMAX model, International currency

8.

About the Financial Crisis: A Report on Stock Indices

International Journal of Management Sciences and Business Research, Vol. 1, Issue 9, 2012
Number of pages: 10 Posted: 14 Dec 2015
Marco Mele and Stefano Amighini
Luspio University - School of Political Sciences and Deutsche Bank AG
Downloads 8 (733,279)

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bail out banks, financial crises, financial markets

9.

A D2C Algorithm on the Natural Gas Consumption and Economic Growth: Challenges Faced by Germany and Japan

Energy, 219, 19586, 2021 DOI: 10.1016/j.energy.2020.119586, ISSN: 0360-5442
Posted: 10 Mar 2021
University of Rome III, Luspio University - School of Political Sciences and Centre d'Économie de la Sorbonne (CES) - Center of Economics of the Sorbonne (CES)

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Natural gas consumption; GDP; Machine learning; D2C algorithm; Germany; Japan

10.

Waste Generation, Wealth and GHG Emissions From the Waste Sector: Is Denmark on the Path Towards Circular Economy?

Science of the Total Environment, Volume 755, Part 1, 10 February 2021, DOI: 10.1016/j.scitotenv.2020.142510, ISSN: 0048-9697
Posted: 18 Feb 2021
University of Rome III, Luspio University - School of Political Sciences, Centre d'Économie de la Sorbonne (CES) - Center of Economics of the Sorbonne (CES) and University of Nordland - Nord University Business School

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Municipal solid waste; Breitung-Candelon spectral Granger-causality; Waste sector; Recycling; Environmental sustainability; Machine learning

11.

A Machine Learning Approach on the Relationship Among Solar and Wind Energy Production, Coal Consumption, GDP, and CO2 Emissions

Renewable Energy, Volume 151, May 2020, Pages 829-836, DOI: 10.1016/j.renene.2020.11.050, ISSN: 0960-1481
Posted: 18 Feb 2021
University of Rome III, Luspio University - School of Political Sciences and Centre d'Économie de la Sorbonne (CES) - Center of Economics of the Sorbonne (CES)

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Wind energy; Solar energy; Coal consumption; CO2 emissions; Machine learning; China; India; USA

12.

On the Relationship Between Transportation Infrastructure and Economic Development in China

Forthcoming, Research in Transportation Economics, DOI: 10.1016/j.retrec.2020.100947, ISSN: 0739-8859
Posted: 18 Feb 2021
Cosimo Magazzino and Marco Mele
University of Rome III and Luspio University - School of Political Sciences

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Transport infrastructure; Economic growth; China; Machine learning; Time lag model; Regional development

13.

The Relationship Between Municipal Solid Waste and Greenhouse Gas Emissions: Evidence From Switzerland

Waste Management, 113, 508-520, 2020, DOI: 10.1016/j.wasman.2020.05.033, ISSN: 0956-053X
Posted: 18 Feb 2021
University of Rome III, Luspio University - School of Political Sciences and Centre d'Économie de la Sorbonne (CES) - Center of Economics of the Sorbonne (CES)

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Municipal solid waste; Greenhouse gas; Waste sector; Recycling; Environmental sustainability; Machine Learning

14.

The Relationship between Nuclear Energy Consumption and Economic Growth: Evidence from Switzerland

Environmental Research Letters, 15, 2020, DOI: 10.1088/1748-9326/abadcd, ISSN: 1748-9326
Posted: 18 Feb 2021
University of Rome III, Luspio University - School of Political Sciences, Centre d'Économie de la Sorbonne (CES) - Center of Economics of the Sorbonne (CES) and Independent

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nuclear energy consumption; GDP; employment; capital stock; time-series; artificial neural networks

15.

A Machine Learning Analysis of the Relationship among Iron and Steel Industries, Air Pollution, and Economic Growth in China

Journal of Cleaner Production, Volume 277, 20 December 2020, DOI: 10.1016/j.jclepro.2020.123293, ISSN: 0959-6526
Posted: 18 Feb 2021
Cosimo Magazzino and Marco Mele
University of Rome III and Luspio University - School of Political Sciences

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China; Economic growth; CO2 emissions; Air pollution; Steel industries; Machine learning

16.

A 'Time Series' Approach on the Chinese Exchange Rate Regime

Posted: 27 Aug 2014
Marco Mele
Luspio University - School of Political Sciences

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Exchange Rate, China, Econometric ARMA model