The propagation of economic impacts through supply chains: The case of a mega-city lockdown to prevent the spread of COVID-19

Inoue, Hiroyasu; Todo, Yasuyuki

doi:10.1371/journal.pone.0239251

Cited by 142 publications

(101 citation statements)

References 19 publications

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“…For example, one can study a nationwide production network, i.e., how individual firms transfer money among one another as suppliers and customers for transactions of goods and services (see [3] and the references therein). In contrast to the macroscopic studies mentioned above, microscopic studies can uncover the heterogeneous structure of the network and its role in economic activities, how the activities are subject to shocks due to natural disasters [4] and pandemics [5], and so forth. However, microscopic data are not exhaustive; although they may cover most active firms, not all the suppliers and customers are recorded.…”

Section: Introductionmentioning

confidence: 99%

Money flow network among firms’ accounts in a regional bank of Japan

et al. 2021

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In this study, we investigate the flow of money among bank accounts possessed by firms in a region by employing an exhaustive list of all the bank transfers in a regional bank in Japan, to clarify how the network of money flow is related to the economic activities of the firms. The network statistics and structures are examined and shown to be similar to those of a nationwide production network. Specifically, the bowtie analysis indicates what we refer to as a “walnut” structure with core and upstream/downstream components. To quantify the location of an individual account in the network, we used the Hodge decomposition method and found that the Hodge potential of the account has a significant correlation to its position in the bowtie structure as well as to its net flow of incoming and outgoing money and links, namely the net demand/supply of individual accounts. In addition, we used non-negative matrix factorization to identify important factors underlying the entire flow of money; it can be interpreted that these factors are associated with regional economic activities. One factor has a feature whereby the remittance source is localized to the largest city in the region, while the destination is scattered. The other factors correspond to the economic activities specific to different local places. This study serves as a basis for further investigation on the relationship between money flow and economic activities of firms.

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Section: Introductionmentioning

confidence: 99%

Money flow network among firms’ accounts in a regional bank of Japan

et al. 2021

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“…2 The strong heterogeneity of the industry-level primary effects of the pandemic raises the question of the role of individual industries in the aggregate effect at the macroeconomic level. Using data from input-output tables or more granular data for the Japan, UK, France, and other European economies, Pichler et al (2020), Inoue and Todo (2020), and Barrot et al (2020) show that industries that play an important role in the structure of GDP may not experience the direct effects of the pandemic and social restrictions. At the same time, such industries may be under pressure from industries affected by the primary shock of the pandemic on the supply or demand side.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessing the Consequences of the Pandemic for the Russian Economy Through an Input-Output Model

Ponomarenko¹,

Popova²,

Sinyakov³

et al. 2020

RJMF

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This paper evaluates the impact of anti-coronavirus measures on the dynamics of economic activity. In addition to primary shocks directly caused by restrictive measures, we assess their secondary effects through inter-industry relationships. Our assessments show that secondary effects impact more industries than primary effects do. The overall impact of secondary effects on the economy proves to be of a larger scale than the impact of primary effects with high heterogeneity of dynamics by industry.

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“…SARS-CoV-2 spreads through two major transmission methods: direct infection via respiratory droplets and indirect contact via contaminated surfaces, especially for raw processed foods. Therefore, lockdown of epidemic areas ( Inoue and Todo, 2020 ; Lian et al, 2020 ) and wearing masks ( Feng et al, 2020 ) are necessary for the control of SARS-CoV-2 spread, which have been confirmed to be effective in China.…”

Section: Introductionmentioning

confidence: 99%

Identifying Transcriptomic Signatures and Rules for SARS-CoV-2 Infection

Zhang

Zeng

et al. 2021

Front. Cell Dev. Biol.

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The world-wide Coronavirus Disease 2019 (COVID-19) pandemic was triggered by the widespread of a new strain of coronavirus named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Multiple studies on the pathogenesis of SARS-CoV-2 have been conducted immediately after the spread of the disease. However, the molecular pathogenesis of the virus and related diseases has still not been fully revealed. In this study, we attempted to identify new transcriptomic signatures as candidate diagnostic models for clinical testing or as therapeutic targets for vaccine design. Using the recently reported transcriptomics data of upper airway tissue with acute respiratory illnesses, we integrated multiple machine learning methods to identify effective qualitative biomarkers and quantitative rules for the distinction of SARS-CoV-2 infection from other infectious diseases. The transcriptomics data was first analyzed by Boruta so that important features were selected, which were further evaluated by the minimum redundancy maximum relevance method. A feature list was produced. This list was fed into the incremental feature selection, incorporating some classification algorithms, to extract qualitative biomarker genes and construct quantitative rules. Also, an efficient classifier was built to identify patients infected with SARS-COV-2. The findings reported in this study may help in revealing the potential pathogenic mechanisms of COVID-19 and finding new targets for vaccine design.

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The propagation of economic impacts through supply chains: The case of a mega-city lockdown to prevent the spread of COVID-19

Cited by 142 publications

References 19 publications

Money flow network among firms’ accounts in a regional bank of Japan

Money flow network among firms’ accounts in a regional bank of Japan

Assessing the Consequences of the Pandemic for the Russian Economy Through an Input-Output Model

Identifying Transcriptomic Signatures and Rules for SARS-CoV-2 Infection

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