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Borderland Economic Resilience under COVID-19: Evidence from China–Russia Border Regions

The COVID-19 pandemic has had a great impact on the global economy and trade, and border regions have been hit severely because of their high dependency on foreign trade. To understand better the economic impact of COVID-19 on border regions, we developed a COVID-19 economic resilience analytical fr...

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Autores principales: Li, Yuxin, Zhang, Pingyu, Lo, Kevin, Tan, Juntao, Yang, Qifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602610/
https://www.ncbi.nlm.nih.gov/pubmed/36293618
http://dx.doi.org/10.3390/ijerph192013042
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author Li, Yuxin
Zhang, Pingyu
Lo, Kevin
Tan, Juntao
Yang, Qifeng
author_facet Li, Yuxin
Zhang, Pingyu
Lo, Kevin
Tan, Juntao
Yang, Qifeng
author_sort Li, Yuxin
collection PubMed
description The COVID-19 pandemic has had a great impact on the global economy and trade, and border regions have been hit severely because of their high dependency on foreign trade. To understand better the economic impact of COVID-19 on border regions, we developed a COVID-19 economic resilience analytical framework and empirically examined 10 Chinese-Russian border cities in Northeast China. We quantitatively analyzed five dimensions of economic resilience, distinguished four types of shock, and examined the determinants of economic resilience. The results show that: (1) the COVID-19 pandemic has wide-ranging impacts in the border areas, with import–export trade and retail sales of consumer goods being the most vulnerable and sensitive to the shock. The whole economy of the border areas is in the downward stage of the resistance period; (2) from a multi-dimensional perspective, foreign trade and consumption are the most vulnerable components of the borderland economic system, while industrial resilience and income resilience have improved against the trend, showing that they have good crisis resistance; (3) borderland economic resilience is a spatially heterogeneous phenomenon, with each border city showing different characteristics; (4) economic openness, fiscal expenditure, and asset investment are the key drivers of economic resilience, and the interaction between the influencing factors presents a nonlinear and bi-factor enhancement of them. The findings shed light on how border economies can respond to COVID-19, and how they are useful in formulating policies to respond to the crisis.
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spelling pubmed-96026102022-10-27 Borderland Economic Resilience under COVID-19: Evidence from China–Russia Border Regions Li, Yuxin Zhang, Pingyu Lo, Kevin Tan, Juntao Yang, Qifeng Int J Environ Res Public Health Article The COVID-19 pandemic has had a great impact on the global economy and trade, and border regions have been hit severely because of their high dependency on foreign trade. To understand better the economic impact of COVID-19 on border regions, we developed a COVID-19 economic resilience analytical framework and empirically examined 10 Chinese-Russian border cities in Northeast China. We quantitatively analyzed five dimensions of economic resilience, distinguished four types of shock, and examined the determinants of economic resilience. The results show that: (1) the COVID-19 pandemic has wide-ranging impacts in the border areas, with import–export trade and retail sales of consumer goods being the most vulnerable and sensitive to the shock. The whole economy of the border areas is in the downward stage of the resistance period; (2) from a multi-dimensional perspective, foreign trade and consumption are the most vulnerable components of the borderland economic system, while industrial resilience and income resilience have improved against the trend, showing that they have good crisis resistance; (3) borderland economic resilience is a spatially heterogeneous phenomenon, with each border city showing different characteristics; (4) economic openness, fiscal expenditure, and asset investment are the key drivers of economic resilience, and the interaction between the influencing factors presents a nonlinear and bi-factor enhancement of them. The findings shed light on how border economies can respond to COVID-19, and how they are useful in formulating policies to respond to the crisis. MDPI 2022-10-11 /pmc/articles/PMC9602610/ /pubmed/36293618 http://dx.doi.org/10.3390/ijerph192013042 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Yuxin
Zhang, Pingyu
Lo, Kevin
Tan, Juntao
Yang, Qifeng
Borderland Economic Resilience under COVID-19: Evidence from China–Russia Border Regions
title Borderland Economic Resilience under COVID-19: Evidence from China–Russia Border Regions
title_full Borderland Economic Resilience under COVID-19: Evidence from China–Russia Border Regions
title_fullStr Borderland Economic Resilience under COVID-19: Evidence from China–Russia Border Regions
title_full_unstemmed Borderland Economic Resilience under COVID-19: Evidence from China–Russia Border Regions
title_short Borderland Economic Resilience under COVID-19: Evidence from China–Russia Border Regions
title_sort borderland economic resilience under covid-19: evidence from china–russia border regions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602610/
https://www.ncbi.nlm.nih.gov/pubmed/36293618
http://dx.doi.org/10.3390/ijerph192013042
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