The Impact of the COVID-19 Pandemic on the Global Value Chain of the Manufacturing Industry

Sun, Jiaze; Lee, Huijuan; Yang, Jun

doi:10.3390/su132212370

Cited by 16 publications

(13 citation statements)

References 21 publications

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“…The period covered is 2010-2020, excluding the years of the global financial crisis, but including the pandemic year. According to Sun et al [19], who estimated the dynamic impact of the COVID-19 pandemic on global manufacturing industry, the lowtech manufacturing industries will suffer massive shocks in the short run, while some high-tech manufacturing sectors will see a growth trend.…”

Section: Data and Research Methodologymentioning

confidence: 99%

FDI and Performance: An Investigation of EU Manufacturing Industries

Vrinceanu

Popa

Horobeț

et al. 2023

KSS

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This paper investigates the impact of foreign direct investment (FDI) on the performance of companies in low- and high-technologically intensive industries in the manufacturing sector in EU member countries, using datasets covering the period between 2010 and 2020. The industries were selected according to the EU High-tech classification of manufacturing industries based on NACE Rev.2 at 2-digit codes. The performance of companies in our study was measured based on turnover. We used a set of independent variables, such as inward and outward FDI stocks, imports and exports of goods and services, gross domestic product (GDP) at market prices, real effective exchange rate, gross domestic expenditure on research and development, and gross fixed capital formation. On applying the panel data methodology, our findings indicated that inward FDI stocks, imports of goods and services, and real effective exchange rates have a significant impact on the performance of companies in high-technologically intensive industries. For low-tech companies, exports of goods and services are important driving factors behind their performance. Keywords: high-tech industries, low-tech industries, foreign direct investment, performance, European Union

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Section: Data and Research Methodologymentioning

confidence: 99%

FDI and Performance: An Investigation of EU Manufacturing Industries

Vrinceanu

Popa

Horobeț

et al. 2023

KSS

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“…Third, the COVID-19 epidemic led to a decline in investment. Faced with the downward pressure on economic performance and the increased uncertainty in the financial market ( 66 ), investors chose their investments more cautiously ( 67 ). As a result, the demand for investment decreased.…”

Section: Covid-19's Impact On Digital Economymentioning

confidence: 99%

The Impact of Digital Economy on the Economic Growth and the Development Strategies in the post-COVID-19 Era: Evidence From Countries Along the “Belt and Road”

Zhang

Zhao

Cheng

et al. 2022

Front. Public Health

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The digital economy is considered as an effective measure to mitigate the negative economic impact of the Corona Virus Disease 2019 (COVID-19) epidemic. However, few studies evaluated the role of digital economy on the economic growth of countries along the “Belt and Road” and the impact of COVID-19 on their digital industries. This study constructed a comprehensive evaluation index system and applied a panel data regression model to empirically analyze the impact of digital economy on the economic growth of countries along the “Belt and Road” before COVID-19. Then, a Global Trade Analysis Project (GTAP) model was used to examine the impact of COVID-19 on their digital industries and trade pattern. Our results show that although there is an obvious regional imbalance in the digital economy development in countries along the “Belt and Road”, the digital economy has a significantly positive effect on their economic growth. The main impact mechanism is through promoting industrial structure upgrading, the total employment and restructuring of employment. Furthermore, COVID-19 has generally boosted the demand for the digital industries, and the impact from the demand side is much larger than that from the supply side. Specifically, the digital industries in Armenia, Israel, Latvia and Estonia have shown great growth potential during the epidemic. On the contrast, COVID-19 has brought adverse impacts to the digital industries in Ukraine, Egypt, Turkey, and the Philippines. The development strategies are proposed to bridge the “digital divide” of countries along the “Belt and Road,” and to strengthen the driving effect of the digital economy on industrial upgrading, employment and trade in the post-COVID-19 era.

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“…Strategies for wider recovery of the manufacturing system post-Covid-19 were suggested. Sun et al (2021) use the global dynamic general equilibrium model to simulate and examine the dynamic effects of the Covid-19 pandemic on the manufacturing industries output and global value chain. Butt (2021a) carried out an empirical study of the countermeasures taken by the manufacturing industries of the UAE to mitigate the impact of the Covid-19 pandemic.…”

Section: Manufacturing Barriers Due Tomentioning

confidence: 99%

“…Strategies for wider recovery of the manufacturing system post-Covid-19 were suggested. Sun et al. (2021) use the global dynamic general equilibrium model to simulate and examine the dynamic effects of the Covid-19 pandemic on the manufacturing industries output and global value chain.…”

Section: Introductionmentioning

confidence: 99%

Investigating and modeling interactions among manufacturing barriers due to Covid-19 pandemic: an interpretive ranking process

Badhotiya

Sachdeva

Soni

2022

IJIEOM

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PurposeThe manufacturing industry is one of the most disrupted systems as a result of the global spread of the Covid-19 pandemic. Manufacturing firms are looking for strategies and policies to deal with the situation while also meeting customer demands. This study aims to discuss and analyze the barriers that have impacted manufacturing systems during this period.Design/methodology/approachThe barriers and performance measures were extracted from the extant literature and further discussed with academic and industry experts. Based on the response of experts, a list of ten barriers and five performance measures were selected for further analysis. The interpretive ranking process (IRP) is applied to analyze the inter-relationship among the barriers with respect to performance variables. The cross-interaction matrices and the dominance profile are created to prioritize the barriers. Based on dominance value, an IRP-based manufacturing barrier evaluation model is developed for validation.FindingsThe impact of the pandemic on the manufacturing industry is analyzed through the list of barriers and a structured ranking model is proposed. The research findings of the study indicate that “Financial constraints” is the most influential barrier to manufacturing due to the outbreak of Covid-19, followed by “Government imposed restrictions” and “Setbacks in logistics services.”Practical implicationsThe ranking of barriers and developed interpretive ranking process model would be helpful for practitioners and policymakers to formulate strategies for manufacturing organizations to deal with the pandemic situation. The finding can be beneficial as it promotes similar studies in other sectors.Originality/valueThis study contributes to the manufacturing sector by developing a contextual relationship among the set of identified barriers against various performance measures. As per the author's knowledge, this is the first study that provides a relationship and ranking of manufacturing barriers due to the outbreak of Covid-19.

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The Impact of the COVID-19 Pandemic on the Global Value Chain of the Manufacturing Industry

Cited by 16 publications

References 21 publications

FDI and Performance: An Investigation of EU Manufacturing Industries

FDI and Performance: An Investigation of EU Manufacturing Industries

The Impact of Digital Economy on the Economic Growth and the Development Strategies in the post-COVID-19 Era: Evidence From Countries Along the “Belt and Road”

Investigating and modeling interactions among manufacturing barriers due to Covid-19 pandemic: an interpretive ranking process

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