Evidence map›Paper›PMID 36293618›Full record

ArticleInternational journal of environmental research and public health2022

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

Yuxin Li, Pingyu Zhang, Kevin Lo, Juntao Tan, Qifeng Yang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Yuxin LiNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.
Pingyu ZhangNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.
Kevin LoDepartment of Geography, Hong Kong Baptist University, Kowloon Tong, Hong Kong 999077, China.ORCID 0000-0001-7721-4726
Juntao TanSchool of Geography, Geomatics and Planning & Urban-Rural Integration Development Research Institute, Jiangsu Normal University, Xuzhou 221116, China.ORCID 0000-0001-6892-4013
Qifeng YangNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.
Chinese Academy of Sciences · CNHong Kong Baptist University · HKJiangsu Normal University · CN

Funding

National Natural Science Foundation of China 42071162
6 · The paper itself

Abstract

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.

Indexed as

COVID-19ChinaCitiesEconomic DevelopmentHumansPandemicsborder regionChina–Russia borderCOVID-19determinantseconomic resiliencespatial differentiation

Identifiers

PMID36293618
PMCPMC9602610
OpenAlexW4304587361

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.