Global Value Chains of COVID-19 Materials: A Weighted Directed Network Analysis

Angelidis, Georgios; Bratsas, Charalampos; Makris, Georgios C.; Ioannidis, Evangelos; Varsakelis, Nikos C.; Antoniou, Ioannis

doi:10.3390/math9243202

Cited by 8 publications

(4 citation statements)

References 46 publications

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“…The w i → j [ ν ] represents the share of value-added exports from country i to country j over the global value-added flows (including self-loops) of sector v . This weight formula incorporates the sum of all transactions from country i to country j , as described by Alves et al ( 2018 ) and Angelidis et al ( 2021 ). The diagonal part of the weight matrix is the domestic component, while the off-diagonal part is the foreign component of the countries (Criscuolo & Timmis, 2018 ).…”

Section: Methodsmentioning

confidence: 99%

Economic Shock Transmission through Global Value Chains: An Assessment using Network Analysis

Angelidis

Varsakelis

2023

Int Adv Econ Res

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This paper examines the role of some key economies in the economic contagion across global value chains using input-output analysis and complex network statistics. The empirical research focuses on China, France, Germany, Italy, Japan, Korea, the United Kingdom, and the United States. A range of novel measures were used to measure the nature and extent of global value chain relationships. The empirical results reveal that, because of the high interdependence and interconnectedness in the global value chain networks, the transmission of an economic shock in China and the United States will be fast, wide, and in-depth in the global value chain networks. Sample countries are more exposed to an economic shock in China than a shock in the other four big economic partners, namely the United States, Germany, Japan, and Korea. Supplementary Information The online version contains supplementary material available at 10.1007/s11294-023-09871-0.

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Section: Methodsmentioning

confidence: 99%

Economic Shock Transmission through Global Value Chains: An Assessment using Network Analysis

Angelidis

Varsakelis

2023

Int Adv Econ Res

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“…Studies utilizing network analysis have been conducted on global trade contexts [ 13 – 18 ], intra-African countries [ 19 ], ASEAN countries [ 15 , 20 ], OECD countries [ 21 ], China, BRIC, and African countries [ 22 , 23 ], Latin American countries [ 24 ], Shanghai Cooperation Organization countries [ 25 ], and Central Asia and Caucasus countries [ 26 ]. Furthermore, these studies focus on general trade [ 15 , 17 – 19 , 21 , 22 , 24 – 27 ], energy [ 13 , 14 , 16 , 23 , 28 ], food [ 29 – 31 ], clothing [ 32 , 33 ], and electronic products [ 4 ]. However, to the best of our knowledge, no studies have examined electronic product trade at the country group level during the COVID-19 period using complex network and panel data analyses.…”

Section: Introductionmentioning

confidence: 99%

Exploring the impacts of Covid-19 on the electronic product trade of the G-7 countries: A complex network analysis approach and panel data analysis

Özekicioğlu,

Yilmaz,

Alkan

et al. 2023

PLoS ONE

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The present study attempts to explore the impacts of COVID-19 on the intra-group electronic product trade of the world’s seven largest economies. In line with this purpose, we performed a complex network analysis of the electronic product trade of the group of seven (G-7) countries and China, as well as a panel data study comprising solely the G-7 countries. In this regard, we investigated the trade networks within the G-7 countries, to which China has been added, and determined the prominent countries in the network during the pandemic to be China, the USA and Canada. The findings also revealed that China, one of the pioneering countries in electronic product trade, has the most ties in electronic products exports with the USA, the other countries with which the USA had the most ties were Japan and Germany, apart from Canada. It was discovered that Germany was the most active country in the network, following the USA, in terms of export ties and the number of export countries in its network. The panel data analysis, on the other hand, yielded two different models, namely import and export, based on 22 months of data, from March 2020 to December 2021, considering the World Health Organization’s (WHO) declaration of COVID-19 as a pandemic on March 11, 2020. The findings showed that independent variables affecting the electronic product trade within G-7 countries bore different effects in both models, that the deaths/cases ratio, the tests/cases ratio and the number of cases had adverse impacts while the population had positive impacts on exports in the first model, and that the tests/population ratio had adverse effects while the number of tests and the population had positive impacts on intra-group electronic product imports.

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“…Heartrate increases can cause significant cardiovascular risk impact among patients with COVID-19 and other comorbidities since one of the risk factors that has been related to the greater severity of the disease is the presence of comorbidities, such as chronic heart disease or hypertension [12,18]. These may be exacerbated in this scenario and may contribute to the mortality of this population [12,[18][19][20]. These reasons justify the development of detailed studies on the behavior of cardiac dynamics in relation to the increase in temperature in patients with COVID-19.…”

Section: Introductionmentioning

confidence: 99%

New Physical–Mathematical Analysis of Cardiac Dynamics and Temperature for the Diagnosis of Infectious Disease

2023

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Background: Physical and mathematical theories have made it possible to generate methods for the characterization and diagnosis of physiological variables such as cardiac dynamics. Therefore, it would be useful to implement them to evaluate the dynamic changes in human physiology during the development of COVID-19, which causes disease, severe respiratory and death. Objective: to establish a method for detecting possible alterations associated with COVID-19 through simulations of adult cardiac dynamics and body temperature using dynamic systems theory, probability, entropy and set theory. Methodology: simulations of cardiac dynamics were generated in subjects with 10 temperature ranges between 32 °C and 42 °C via numerical attractors after their evaluation using entropy proportions. Results: differences were observed in the proportions of entropy that differentiate normal cardiac dynamics and acute myocardial infarction towards progression to fever. Conclusion: the physical mathematical analysis of cardiac behavior in relation to body temperature in people with COVID-19 allowed the establishment of a possible surveillance method for detecting minor alterations.

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Global Value Chains of COVID-19 Materials: A Weighted Directed Network Analysis

Cited by 8 publications

References 46 publications

Economic Shock Transmission through Global Value Chains: An Assessment using Network Analysis

Economic Shock Transmission through Global Value Chains: An Assessment using Network Analysis

Exploring the impacts of Covid-19 on the electronic product trade of the G-7 countries: A complex network analysis approach and panel data analysis

New Physical–Mathematical Analysis of Cardiac Dynamics and Temperature for the Diagnosis of Infectious Disease

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