How Does the COVID-19 Pandemic Impact Internal Trade? Evidence from China's Provincial-Level Data
被引:3
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作者:
Che, Zhilu
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机构:
Beijing Normal Univ, Sch Econ & Resource Management, Beijing 100875, Peoples R China
Beijing Normal Univ, Ctr Innovat & Dev Studies, Zhuhai 519087, Peoples R ChinaBeijing Normal Univ, Sch Econ & Resource Management, Beijing 100875, Peoples R China
Che, Zhilu
[1
,2
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Kong, Mei
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机构:
Beijing Normal Univ, China Inst Educ & Social Dev, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Sch Econ & Resource Management, Beijing 100875, Peoples R China
Kong, Mei
[3
]
Wang, Sen
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机构:
Xinjiang Univ, Sch Econ & Management, Urumqi 830046, Peoples R ChinaBeijing Normal Univ, Sch Econ & Resource Management, Beijing 100875, Peoples R China
Wang, Sen
[4
]
Zhuang, Jiakun
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机构:
Beijing Normal Univ, Sch Econ & Resource Management, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Sch Econ & Resource Management, Beijing 100875, Peoples R China
Zhuang, Jiakun
[1
]
机构:
[1] Beijing Normal Univ, Sch Econ & Resource Management, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, Ctr Innovat & Dev Studies, Zhuhai 519087, Peoples R China
[3] Beijing Normal Univ, China Inst Educ & Social Dev, Beijing 100875, Peoples R China
[4] Xinjiang Univ, Sch Econ & Management, Urumqi 830046, Peoples R China
The COVID-19 pandemic has threatened the goals of sustainable development through its impact on global public health and economic systems. This paper examines the impact of the COVID-19 pandemic on interprovincial trade in China. First, we estimate interprovincial trade flows in China for 2018-2022 using information from different sources and use it to infer interprovincial trade costs. Second, we estimate the impact of COVID-19 on interprovincial trade flows and interprovincial trade costs based on a trade gravity model. Finally, we construct a multiregional, multisector quantitative spatial model and introduce changes in interprovincial trade barriers in 2019-2020 to the model to analyze economic losses due to the early COVID-19 pandemic. We find a significant negative effect from the COVID-19 pandemic on interprovincial trade flows in China, but we do not obtain robust results demonstrating that the intensification of the pandemic significantly affected bilateral trade costs. The results of the quantitative analysis suggest that changes in interprovincial trade barriers reduced China's overall GDP in 2019-2020 by 0.11%. The results are not the same at the regional and sectoral levels, but the impact is not significant on average.
机构:
Chinese Acad Social Sci, Inst Quantitat & Tech Econ, Beijing, Peoples R ChinaChinese Acad Social Sci, Inst Quantitat & Tech Econ, Beijing, Peoples R China
Zhuang, Qinqin
Luo, Weijie
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机构:
Beijing Int Studies Univ, Sch Econ, Beijing 100024, Peoples R ChinaChinese Acad Social Sci, Inst Quantitat & Tech Econ, Beijing, Peoples R China
Luo, Weijie
Li, Yupeng
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机构:
Cent Univ Finance & Econ, Sch Int Trade & Econ, Beijing, Peoples R China
Cornell Univ, Charles H Dyson Sch Appl Econ & Management, Ithaca, NY USAChinese Acad Social Sci, Inst Quantitat & Tech Econ, Beijing, Peoples R China
机构:
Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
Chinese Acad Sci, Res Ctr Fictitious Econ & Data Sci, Beijing 100190, Peoples R China
Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing 100190, Peoples R China
Univ Nebraska Omaha, Coll Informat Sci & Technol, Omaha, NE 68182 USAUniv Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
Shi, Yong
Qu, Yi
论文数: 0引用数: 0
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机构:
Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
Chinese Acad Sci, Res Ctr Fictitious Econ & Data Sci, Beijing 100190, Peoples R China
Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing 100190, Peoples R ChinaUniv Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
Qu, Yi
Zhang, Linzi
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机构:
Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
Chinese Acad Sci, Res Ctr Fictitious Econ & Data Sci, Beijing 100190, Peoples R China
Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing 100190, Peoples R ChinaUniv Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
机构:
WZB Berlin Social Sci Ctr, Berlin, Germany
WZB Berlin Social Sci Ctr, Migrat, Integrat, Transnationalizat, D-10247 Berlin, GermanyWZB Berlin Social Sci Ctr, Berlin, Germany
Kanol, Eylem
Michalowski, Ines
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机构:
Univ Munster, Munster, Germany
WZB, Berlin, GermanyWZB Berlin Social Sci Ctr, Berlin, Germany