Cosimo Magazzino

Università Degli Studi Roma Tre | UNIROMA3 · Department of Political Sciences

Purpose This paper explores international trade of the Chinese manufacturing industries through the lenses of network analysis (NA) to visualise the world trade network of the Chinese economy, describe its topology and better explain the international organisation of Chinese manufacturing industries. Design/methodology/approach The authors built a...

This paper investigates the association between CO2 emissions and a range of factors, including electricity consumption, economic growth, urbanization, and trade openness for six Gulf Cooperation Council (GCC) countries using data covering the 1965–2019 period. Namely, Oman, Saudi Arabia, the UAE, Kuwait, Bahrain, and Qatar. Contrasting with the st...

This research aims to examine the validity of the Environmental Kuznets Curve (EKC) hypothesis for the environmental degradation measured by Carbon dioxide emission with the role of renewable and non-renewable energy consumption, Gross Domestic Product (GDP), and the population in 37 Organisation for Economic Co-operation and Development (OECD) cou...

Empirical studies of the EKC hypothesis may be very sensitive to datasets, specifications, and functional forms. The aim of this paper is to investigate the long-run relationship among CO2 emissions, real GDP, and energy consumption using a panel of 9 advanced economies from 1870 to 2008 using both parametric and semi-parametric additive models. Wh...

The globe is now in ecological turmoil as a result of the unrelenting increase in global warming. As a result, governments worldwide are committing to decarbonizing the environment, with the United Arab Emirates (UAE) and the Kingdom of Saudi Arabia (KSA) playing an important role in this effort. Hence, this paper evaluates the nonlinear (asymmetri...

In this paper, we analyze the relationship between government expenditures and revenues for Italy over the period 1862–2013. The analysis of the expenditures-revenues nexus is also relevant from the point of view of fiscal sustainability. Our empirical strategy adopts the wavelet analysis approach. The empirical evidence demonstrates the relevance...

In the recent years, fintech industry of the fourth industrial revolution has grown multifold, which raised the concerns of scholars over the excessive usage of electricity. This paper places contribution to the existing literature by analyzing the impact of fintech industry on environmental efficiency across selected EU countries. We also utilized...

By 2025, Belgium will phase-out nuclear power. Unassessed so far, this policy reform may modify the economic and environmental channels through which energy and society interfere in this country. In this paper, we investigate whether this structural energy change may adversely impact the growth of the Belgian economy (i) and its ability to meet its...

The coronavirus disease 2019 (COVID-19), with new variants, continues to be a constant pandemic threat that is generating socio-economic and health issues in manifold countries. The principal goal of this study is to develop a machine learning experiment to assess the effects of vaccination on the fatality rate of the COVID-19 pandemic. Data from 1...

The price movement of commodities in general and crude oil, in particular, are critical for both commodity-consuming and producing countries. The prime objective of this study is to examine the characteristic behavior of commodity futures and commodity index and the dynamic relationships between commodity index and commodity futures. The study firs...

International Journal of the Energy-Growth Nexus (IJEGN): The energy-growth nexus is a major field of energy economics and econometrics that informs the transition to green energies, which must happen at a pace that will not retard economic growth. The energy-growth nexus can contribute tremendously to government energy policies and energy company...

The aim of this study is to explore the nexus among CO2 emissions, energy use, and GDP in Russia using annual data ranging from 1970 to 2017. We first conduct time-series analyses (stationarity, structural breaks, and cointegration tests). Then, we present a new D2C algorithm, and we run a Machine Learning experiment. Comparing the results of the t...

This paper aims to examine the relationship between FDI and economic growth in Malta over the years 1971–2017. Unit root and stationarity tests reveal that FDI is stationary, while real GDP, trade, and manufacturing are integrated of order 1. The results of causality tests show that the neutrality hypothesis holds, given the fact that any statistic...

Climate change presents the greatest challenge facing all countries of the world in the new millennium. Among others, objective 13 of the Sustainable Development Goals (SDGs) aims at adopting urgent measures to contrast climate change and its consequences. Part of the decline in the global growth of emissions has been the increase in using renewabl...

We explore the fiscal sustainability in the six Gulf Cooperation Council (GCC) countries over the period 1990–2017. Panel unit root tests in presence of cross-sectional dependence for government revenues, expenditures, the primary balance, and debt reach mixed results. However, cointegration tests reveal that a long-run relationship exists between...

This study investigates the co-movements of gasoline and diesel prices in three European countries (i.e. Germany, France, and Italy) with different fuel tax systems in place. The methodology follows a time–frequency approach, allowing us to analyse the co-movements at different frequencies and moments in time. As a novelty, we study the impact of f...

Among the Sustainable Development Goals, ‘Green Issues’ have attracted significant research on sustainability transitions and regional diversification. The introduction of green environmental technologies within the frame of the Fourth Industrial Revolution is crucial for the diversification of local, sustainable activities to protect the environme...

RESUMO: Este artigo tem como objetivo analisar as inovações introduzidas nas funções do Fundo Monetário Internacional no contexto da crise econômica e financeira de 2008. Isso promoveu uma ação que teve como objetivo fortalecer a função de vigilância por meio da adoção da Vigilância Integrada. Assim, a par da condicionalidade tradicional baseada na...

The aim of this paper is to assess the causal relationship among innovation in environment-related technologies, per capita income, and three major waste disposal operations (landfill, recycling, and incineration) for Korea. A time-series analysis over the frequency domain (Breitung–Candelon Spectral Granger causality) is applied, followed by Artif...

This study aims to investigate the nexus among waste generation, economic growth, and greenhouse gas (GHG) emissions in a circular economy framework for the case of Switzerland. Using two different empirical approaches (Dynamic Auto-Regressive Distributed Lags and Fuzzy Cognitive Maps), time-series results show that municipal waste and economic gro...

The adoption of Sustainable Development Goals (SDG) in 2015 shifted the attention towards sustainability-related concerns in both developing and developed counties. The aim of this paper is to examine how agricultural productivity-a key driver in achieving many of these SDGs-is affected by carbon emissions, deforestation, renewable energy consumpti...

This study aims to critically review the literature on Project Stakeholder Management (PSM) and motivation. This study contributes especially to the recent literature, on the topic shedding light on new insights regarding the PSM concept. Although many researchers have grappled with the applications of PSM methods in construction projects, scattere...

In this chapter, the literature on mathematical optimization of the quality of construction projects is systematically reviewed. Despite the existence of review articles on time–cost–quality trade-off problems in the research background, so far no research emphasizes only the review of mathematical modeling of the quality dimension of the construct...

This paper critically assesses the effect of fossil fuel dependence and polluting emissions from the transport sector on the performance of logistics operations in the context of Green Supply Chain Management (GSCM). We collected macro-level time-series data for a sample of 27 European Union (EU) countries over the period 2007-2018. A new Artificia...

This paper aims to investigate the causal links among export diversification, per capita income, and energy demand for 20 Asia-Pacific Economic Cooperation (APEC) countries. Human capital, industry share, and Foreign Direct Investments (FDI) are included within a multivariate framework. Using data covering the 1995-2018 period, an innovative sequen...

This paper investigates the association between CO2 emissions and a range of factors, including electricity consumption, economic growth, urbanization, and trade openness for six Gulf Cooperation Council (GCC) countries using data covering the 1965-2019 period. Namely, Oman, Saudi Arabia, the UAE, Kuwait, Bahrain, and Qatar. Contrasting with the st...

This paper demonstrates how the combustion of fossil fuels for transport purpose might cause health implications. Based on an original case study [i.e. the Hubei province in China, the epicentre of the coronavirus disease-2019 (COVID-19) pandemic], we collected data on atmospheric pollutants (PM2.5, PM10 and CO2) and economic growth (GDP), along wi...

This paper investigates the relationship between energy consumption and economic growth with over eighty decades of Italian dataset. The wavelet analysis is applied to decompose series into different time scales whereas the frequency domain technique is used to examine time-specific shocks. Results of both unit root and stationarity tests indicate...

Although the literature on the relationship between economic growth and CO2 emissions is extensive, the use of machine learning (ML) tools remains seminal. In this paper, we assess this nexus for Italy using innovative algorithms, with yearly data for the 1960–2017 period. We develop three distinct models: the batch gradient descent (BGD), the stoc...

This paper examines the linkages among Information and Communication Technologies (ICT) penetration, electricity consumption, economic growth, urbanization, and environmental pollution for 25 OECD countries over the 1990–2017 period. We first conduct several panel data analyses and then write and apply a new Machine Learning (ML) algorithm. Empiric...

While the deployment of technological innovation was able to avert a devastating global supply chain fallout arising from the impact of ravaging COronaVIrus Disease 19 (COVID-19) pandemic, little is known about potential environmental cost of such achievement. The aim of this paper is to identify the determinants of logistics per- formance and inve...

Existing studies reveal opposing results regarding the economic growth and infrastructure nexus, which emanates from the differences in scale, timing and stage of development. In this paper, we explore the relationship between railway networks and real GDP controlling for energy consumption, over the period 1861–1970 in Italy. The empirical strateg...

Global energy demand increases overtime, especially in emerging market economies, producing potential negative environmental impacts, particularly on the long term, on nature and climate changes. Promoting renewables is a robust policy action in world energy-based economies. This study examines if an increase in renewables production has a positive...

Purpose The purpose of this paper is to empirically test the economic convergence that operate between five selected Asian countries (namely Thailand, Singapore, Malaysia, the Philippines and Indonesia). In particular, it seeks to investigate how increased economic integration has impacted the inter-country income levels among the five founding mem...

We use data from the new ISTAT-BES database to estimate the socio-economic determinants of subjective well-being in Italian regions between 2004 and 2016. Empirical findings show that subjective well-being is positively associated with education , income and social relations. Our findings imply that governments should improve subjective well-being...

This paper aims to investigate the causal relationship among renewable energy technologies, biomass energy consumption, per capita GDP, and CO2 emissions for Germany. We constructed an innovative algorithm, the Quantum model, and applied it with Machine Learning experiments – through a software capable of emulating a quantum system – to data over t...

The aim of this paper is to assess the relationship between COVID-19-related deaths, economic growth, PM10, PM2.5, and NO2 concentrations in New York state using city-level daily data through two Machine Learning experiments. PM2.5 and NO2 are the most significant pollutant agents responsible for facilitating COVID-19 attributed death rates. Beside...

This paper shows that the co-movement of public revenues in the European Monetary Union (EMU) is driven by an unobserved common factor. Our empirical analysis uses yearly data covering the period 1970–2014 for 12 selected EMU member countries. We have found that this common component has a significant impact on public revenues in the majority of th...

China, India, and the USA are the world’s biggest energy consumers and CO2 emitters. Being the leading contributors to climate change, these economies are also at the core of environmental solutions. This paper investigates the causal relationship among solar and wind energy production, coal consumption, economic growth, and CO2 emissions for these...

While Germany and Japan are going through major energy reforms, natural gas consumption is taking a growing share in their energy supply. This paper adopts a Machine Learning approach to assess the causal link between natural gas consumption and economic growth for both economies. A Causal Direction from Dependency (D2C) algorithm with the intercon...

Financial development, productivity, and growth are interconnected, but the direction of causality remains unclear. The relevance of these linkages is likely different for developing and developed economies, yet comparative cross-country studies are scant. The paper analyses the relationship among credit access, output and productivity in the agric...

In this study, we used an image neural network model to assess the relationship between economic growth, pollution (PM2.5, PM10, and CO2), and deaths from COVID-19 in the Hubei area (China). Data analysis, neural network analysis, and deep learning experiments were carried out to assess the relationship among COVID-19 deaths, air pollution, and eco...

Municipal solid waste (MSW) is one of the most urgent issues associated with economic growth and urban population. When untreated, it generates harmful and toxic substances spreading out into the soils. When treated, they produce an important amount of Greenhouse Gas (GHG) emissions directly contributing to global warming. With its promising path t...

The impact of climate change has resulted in several long-term events including extreme temperatures. Besides, the occurrence of climate events impedes economic progress––affecting economic readiness of climate mitigation. However, the effect of climatic factors on economic productivity has not been extensively covered in existing literature, espec...

This paper examines the relationship between renewable energy consumption and economic growth in Brazil, in the Covid-19 pandemic. Using an Artificial Neural Networks (ANNs) experiment in Machine Learning, we tried to verify if a more intensive use of renewable energy could generate a positive GDP acceleration in Brazil. This acceleration could off...

This study investigates the relationship between Information and Communication Technology (ICT) penetration, electricity consumption, economic growth, and environmental pollution within a multivariate framework. A panel of 16 EU countries was analyzed over the 1990–2017 period. The results of the Dumitrescu-Hurlin panel causality tests reveal the e...

This study represents the first empirical estimation of threshold values between nitrogen dioxide (NO2) concentrations and COVID-19-related deaths in France. The concentration of NO2 linked to COVID-19-related deaths in three major French cities were determined using Artificial Neural Networks experiments and a Causal Direction from Dependency (D2C...

This study uses two different approaches to explore the relationship between pollution emissions, economic growth, and COVID-19 deaths in India. Using a time series approach and annual data for the years from 1980 to 2018, stationarity and Toda-Yamamoto causality tests were performed. The results highlight unidirectional causality between economic...

The empirical relationship among energy and economic growth has been abundantly studied in the literature. In this paper, we provide a state-of-the-art review of the topic, and highlight the main methodological issues that previous studies have attempted to address so far. Since Israel is experiencing profound energy changes, we take this case as a...

We use data from the new ISTAT-BES database to estimate the socioeconomic determinants of subjective well-being in Italian regions between 2004 and 2016. Empirical ndings show that subjective well-being is positively associated with education, income and social relations. Our ndings imply that governments should improve subjective well-being increa...

Being heavily dependent to oil products (mainly gasoline and diesel), the French transport sector is the main emitter of Particulate Matter (PMs) whose critical levels induce harmful health effects for urban inhabitants. We selected three major French cities (Paris, Lyon, and Marseille) to investigate the relationship between the Coronavirus Diseas...

This study aims to investigate the relationship between nuclear energy consumption and economic growth in Switzerland over the period 1970-2018. We use data on capital, labour, and exports within a multivariate framework. Starting from the consideration that Switzerland has decided to phase out nuclear energy by 2034, we examine the effect of this...

In this paper we analyse the relationship between public primary deficit and debt for Italian sustainability over the 1862–2013 years. Our empirical strategy uses the wavelet analysis. The evidence confirms the absence of fiscal sustainability in the long‐run for Italy, reinforcing the need for a rebalancing of the public accounts.

The aim of this paper is to analyze the relationship among iron and steel industries, air pollution and economic growth in China. Using monthly time series from 2000 to 2017, we adopt a Long Short Term Memory (LSTM) approach. The empirical results show that the relationship between economic growth and steel production is very strong in the first st...

The paper provides an empirical assessment of the relation between the early diffusion of railways and industrial growth in Italy's regions. On the one hand, history represents one of the main factors conditioning transport systems, and the analysis of the early evolution of railways might thus provide a better understanding of present infrastructu...

This paper aims to explore the impact of transportation infrastructure on economic growth in China at different levels: aggregate and regional. Using a time series approach and panel data for 28 regions (where there are provinces also) over the time 1990–2017, the experimental findings confirms the economic theory of development choices. Although o...

Abstract Background The coronavirus infection that emerged in China in the last few months of 2019 has now spread globally. Italy registered its first case in the second half of February, and in a short time period, it became the top country in Europe in terms of the number of infected people and the first in the world in terms of deaths. The medic...

This study used two different approaches to demonstrate the relationship between pollution emissions, economic growth and COVID-19 deaths in India. Using a time series method and annual data for the years from 1980 to 2018, stationarity and Toda-Yamamoto tests were completed. The results from our analysis highlight unidirectional causality between...

The paper addresses the research question of whether black boxes affect the market efficiency, particularly by reducing the level of premiums. The case analyzed is the Italian motor-vehicle insurance market, characterized by the greatest amount of black boxes in the world as a consequence of regulatory interventions that fostered the spread of thes...

Municipal solid waste generation is becoming a prominent issue in the environmental arena. The aim of this paper is to investigate the relationship among municipal waste generation, greenhouse gas emissions, and GDP in Switzerland over the period 1990–2017. We apply both time series procedures (stationarity and causality tests) and a Machine Learni...

The aim of this study is to assess the relationship between trade balance and public budget in the ASEAN countries. Using yearly data for the period between 1980 and 2012 in ten member states, a long-run relationship between current account balance and net lending emerge, both in ASEAN-6 and in ASEAN-10 countries. Granger causality analysis shows t...

Most nations are predominately preoccupied with the need to increase economic growth amidst pressure for increased energy consumption. However, higher energy consumption from fossil fuel has its environmental implication(s) especially in a high industrial economy like China. In this context, the current study explores the interaction between pollut...

We selected three major French cities (Paris, Lyon, and Marseille) to investigate the relationship between the COVID-19 outbreak and air pollution. Using Artificial Neural Networks experiments, we have determined the concentration of PM2.5 and PM10 linked to COVID-19-related deaths. Our focus is on the potential effects of Particulate Matter in spr...

Background: The coronavirus infection that emerged in China in the last few months of 2019 has now spread globally. Italy registered its first case in the second half of February, and in a short time period, it became the top country in Europe in terms of the number of infected people and the first in the world in terms of deaths. The medical and s...

This study explores the interaction among coal consumption, pollutant emissions and real income for South Africa in a multivariate setting. To achieve this objective, annual frequency data spanning from 1965 to 2017 is used for analysis. Series of econometrics tests were conducted ranging from stationarity and non-stationarity tests for unit root p...

Purpose This study aims to investigate the stationarity and convergence of CO2 emissions series in MENA countries. The stationarity and unit root properties of per capita carbon dioxide (CO2) emissions series are explored by an increasing amount of studies, which use different methodologies. Examining the time series properties of energy and envir...

We analyze the sustainability of fiscal policy in a panel framework for the G-7 countries in the 1980–2015 years. Panel unit root tests show that government expenditures, revenues, debt and primary deficit are non-stationary. However, a clear cointegrating relationship is found between government debt and primary deficit. Therefore, these countries...

This paper examines the relationship among carbon dioxide (CO2) emissions, GDP, and energy in the Middle East and North Africa (MENA) countries by using a Responsiveness Scores (RS) approach. Empirical results over the period 1971–2013 suggest that GDP per capita and energy consumption show positive RSs, while trade and urban population negative on...

In this paper, we analyse the relationship between public primary deficit and debt for Italian sustainability over the 1862–2013 years. Our empirical strategy uses the wavelet analysis. The empirical evidence suggests the presence of a substantial fiscal sustainability in the long run for Italy. This reversed much of the results of previous empiric...