Resilience of Polish Exports to Non-Economic External Shocks DOI
Sylwia Talar

Studia Sieci Uniwersytetów Pogranicza, Journal Year: 2023, Volume and Issue: 7, P. 319 - 334

Published: Jan. 1, 2023

Goal – the paper aims to assess resilience of Polish exports disruptions caused by external factors a non-economic nature, using example shocks COVID-19 pandemic and war in Ukraine. Research methodology author study uses literature review analysis based on official statistics. The three dimensions export were operationalized assessed, i.e. resistance, responsiveness adaptation. Short- medium-term results evaluated. Score/results are not completely resilient shocks, as there has been short-term deterioration performance due Ukraine, but taking all together time horizon, this type strongly confirmed. Originality/value responds need economic security economies participating international division labor connection with emergence negatively affecting cooperation. makes an important contribution recognition exports, its various over longer horizon. To date, such research conducted, issue trade resilience, although very for continuing reap benefits trade, is sufficiently explained.

Language: Английский

Spatial-temporal evolution characteristics and critical factors identification of urban resilience under public health emergencies DOI
Yueqian Zhang, Quanlong Liu, Xinchun Li

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 102, P. 105221 - 105221

Published: Jan. 29, 2024

Language: Английский

Citations

13
Downscaling urban resilience assessment: A spatiotemporal analysis of urban blocks using the fuzzy Delphi method and K-means clustering DOI

Nabi Moradpour,

Pourahmad Ahmad,

Keramatollah Ziari

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 263, P. 111898 - 111898

Published: July 29, 2024

Language: Английский

Citations

11
Recovery of economic activities in China uncovered by remotely sensed nighttime light data under the pandemic new normal DOI
Yizhen Wu, Kaifang Shi, Xi Li

et al.

Applied Geography, Journal Year: 2025, Volume and Issue: 175, P. 103506 - 103506

Published: Jan. 5, 2025

Language: Английский

Citations

1
Spatial-temporal characteristics of agricultural economic resilience and spatial spillover effects of driving factors: evidence from provincial panel data in China DOI Creative Commons
Xiaoyu Chen, Haohan Wang,

Xingyuan Zhu

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: Jan. 31, 2025

Strengthening Agricultural Economic Resilience (AER) has become a crucial approach to ensuring food security and promoting sustainable social development, particularly in light of supply shocks such as limited resources, environmental pressures, stagnating agricultural profitability, diminishing demographic advantages. This study examines AER across 31 Chinese provinces from 2008 2020, analyzing its temporal evolution spatial distribution characteristics. Additionally, it assesses the spillover effects key driving factors using Spatial Durbin Model (SDM). The results indicate that China’s average rose 0.167 0.266 during period, showing marked upward trend gradual reduction regional disparities. Furthermore, exhibits strong positive correlation, with higher concentrations eastern central regions, while northeastern western areas show lower levels. Key market scale, GDP, inputs, research conditions, urbanization all shape AER. influence these on highlights presence effects. Notably, regression coefficient for is −0.001, significant at 5% level, indicating negative effect. In contrast, Market Scale, Agriculture Factor Inputs, Environmental exhibit effects, 5%. other are not significant. findings provide practical knowledge policy adjustments enhancing interregional coordination boost

Language: Английский

Citations

1
Factors Driving China’s Carbon Emissions after the COVID-19 Outbreak DOI Creative Commons
Xinlu Sun, Zhifu Mi

Environmental Science & Technology, Journal Year: 2023, Volume and Issue: 57(48), P. 19125 - 19136

Published: Nov. 16, 2023

The outbreak of the coronavirus disease 2019 (COVID-19) may exert profound impacts on China's carbon emissions via structural changes. Due to a lack data, previous studies have focused quantifying changes in but failed identify determinants emissions. Here, we use latest input–output table and apply decomposition analyses understand dynamic from 2012 2020, specifically impact COVID-19 We find that final demand per capita contributed growth at slower pace, production structure drove greater increase than before pandemic. Export-led rebounded, investment-led were more concentrated construction sector. intensity several heavy industries increased, e.g., nonmetallic products sector, metal petroleum, coking, nuclear fuel In addition, lower efficiency increased reliance carbon-intensive inputs indicated deterioration structure. For policy implications, efforts should be undertaken investment low-carbon proportion consumption GDP shift consumption-led for an inclusive green recovery

Language: Английский

Citations

14
Unveiling the relationship between the speed of internationalization and export resilience of MNCs in China: the moderating role of digital capability DOI
Liu Ning, Meng Lin,

Honglie Zhang

et al.

Asia Pacific Business Review, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23

Published: Sept. 16, 2024

Language: Английский

Citations

1
Based on social network analysis: Whether international trade network changed before and after the outbreak of the COVID-19 pandemic? DOI Creative Commons

Hongli Jin

Applied and Computational Engineering, Journal Year: 2024, Volume and Issue: 50(1), P. 121 - 132

Published: March 22, 2024

Since the outbreak of COVID-19 pandemic, international trade has been facing a severe impact. Based on social network analysis method, this research models world during six years from 2017 to 2022. The is made into weighted directed adjacency matrix based data published by UN Comtrade database. also refers gravity model. With visualized and images, makes quantitative study impact pandemic perspective analysis, centrality clustering coefficient. Apart that, focuses pattern how it changes under pandemic. According research, although not deeply affected disease, there are some concealed tendency discovered, which may profoundly change in future.

Language: Английский

Citations

0
Casting a sustainable future: a study on dynamic prediction and influencing factors of economic resilience in fisheries management DOI Creative Commons
Xiaoyu Chen, Haohan Wang, Yujie Zhang

et al.

Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 11

Published: Nov. 11, 2024

Marine fisheries are a critical component of the marine economy. Examining changes in economic resilience allows for identifying potential development risks and supports informed decision-making to optimize growth patterns mitigate risks. This study applied CRITIC-based combined weights model calculate China’s Fisheries Economic Resilience (MFER). It investigated temporal spatial evolution MFER analyzed influencing factors using Geographical Detector Two-way fixed-effects model. Furthermore, future trends were predicted Markov chain. The results show that overall coastal provinces increased steadily from 2001 2020. Second, exhibits clear pattern, with low-value regions improving high-value areas shifting toward medium- provinces. Fourth, trajectory center is moving north south, expanding same direction. such as EDL, TEC, SPE, SYS positively impact MFER, while OPE has negative effect. Finally, chain indicate current state relatively stable, evidence club convergence. However, probability maintaining level gradually decreasing. Based on these findings, provide suggestions preservation security.

Language: Английский

Citations

0
Analysis of Samsung’s Strategy in Dealing With Global Market Competition in International Business DOI Creative Commons
Edy Yulianto Putra,

Inda Meyllya Putri,

Rizky Adi Mahendra

et al.

Journal Of Management Analytical and Solution (JoMAS), Journal Year: 2023, Volume and Issue: 3(3), P. 111 - 117

Published: Sept. 1, 2023

This study aims to analyze Samsung's strategy in facing global market competition international business. The research method applied this is the Secondary Data Analysis (ADS) method, which form of using and analyzing existing data without having conduct surveys interviews. results are marketing, strategies implemented by Samsung company.

Language: Английский

Citations

1
The optimisation of public health emergency governance: a simulation study based on COVID-19 pandemic control policy DOI Creative Commons
Keng Yang, Hanying Qi

Globalization and Health, Journal Year: 2023, Volume and Issue: 19(1)

Published: Dec. 4, 2023

Abstract Background The outbreak of the COVID-19 pandemic sparked numerous studies on policy options for managing public health emergencies, especially regarding how to choose intensity prevention and control maintain a balance between economic development disease prevention. Methods We constructed cost-benefit model policies based an epidemic transmission model. On this basis, numerical simulations were performed different economies analyse dynamic evolution policies. These include areas with high costs, as seen in high-income economies, relatively low exhibited upper-middle-income economies. Results simulation results indicate that, at outset pandemic, both high-and low-cost tended enforce intensive interventions. However, virus evolved, particularly circumstances rates reproduction, short incubation periods, spans infection mortality rates, high-cost became inclined ease restrictions, while took opposite approach. consideration additional costs incurred by non-infected population means that economy is likely lift restrictions well. Conclusions This study concludes variations among nations varying income levels stem from variances characteristics, development, costs. can help researchers policymakers better understand differences choice various well changing trends choices, thus providing certain reference value direction global emergencies.

Language: Английский

Citations

0