Disrupted and Rebuilt: The Untold Impact of Economic Network Restructuring on China’s Post-Lockdown Recovery

50 Pages Posted: 30 Jan 2025

See all articles by Ke Rong

Ke Rong

Tsinghua University - School of Social Sciences

Ruoming Lv

Tsinghua University - Institute of Economics

Xiaoxuan Tian

Tsinghua University - Institute of Economics

Hongjun Li

Tsinghua University

Danxia Xie

Tsinghua University - Institute of Economics

Fei Hao

University of International Business and Economics (UIBE) - Business School

Di Zhou

Tongji University - School of Economics and Management

Xinwei Shi

Durham Business School

Hongwei Kou

Tsinghua University

Zhengyao Kang

University of Bristol Business School

Kaicheng Liao

Tongji University - School of Economics and Management

Yi Li

affiliation not provided to SSRN

Zhen Sun

Tsinghua University - School of Social Sciences

Jiexin Wang

Tsinghua University - Institute of Economics

Date Written: July 07, 2024

Abstract

Following the end of the zero-COVID policy, China’s economic recovery elicited high hopes but turned out to be disappointing in 2023. This paper provides a novel explanation for the slow economic recovery based on economic network disruption and restructuring after major shocks. The supply-demand connections, once disrupted by lockdowns, could not revert to their pre-COVID-19 or pre-Omicron state after reopening. Instead, they underwent further restructuring, incurring considerable transaction costs. Using a unique dataset of 1,404,335 heavy trucks with over 1.1 billion inter-city origin-destination records, we find that although freight workload started to grow following the lifting of lockdown measures, it remained below pre-COVID-19 or pre-Omicron levels even seven months after reopening. The observed recovery pattern is primarily driven by a surge in short-distance travel, contrasting with a decline in long-distance travel. We show that this shift signifies a restructuring process of connections within the network, which takes time to materialize and might lack logistics efficiency. Moreover, this restructuring has reshaped the landscape of China’s economic geography. It strengthened the economic connections within city clusters while weakening those between them. The core cities of conventional economic growth poles experienced a sluggish recovery. Finally, we provide empirical evidence that the network restructuring is associated with previous disruptions induced by lockdowns. Our analysis offers new insights into the recovery dynamics of economies post major economic shocks.

Keywords: Economic Recovery, Post-Lockdown, Network Restructuring

Suggested Citation

Rong, Ke and Lv, Ruoming and Tian, Xiaoxuan and Li, Hongjun and Xie, Danxia and Hao, Fei and Zhou, Di and Shi, Xinwei and Kou, Hongwei and Kang, Zhengyao and Liao, Kaicheng and Li, Yi and Sun, Zhen and Wang, Jiexin, Disrupted and Rebuilt: The Untold Impact of Economic Network Restructuring on China’s Post-Lockdown Recovery (July 07, 2024). Available at SSRN: https://ssrn.com/abstract=5101899 or http://dx.doi.org/10.2139/ssrn.5101899

Ke Rong

Tsinghua University - School of Social Sciences ( email )

Beijing, 100084
China

Ruoming Lv

Tsinghua University - Institute of Economics ( email )

Xiaoxuan Tian

Tsinghua University - Institute of Economics ( email )

Hongjun Li

Tsinghua University ( email )

Beijing, 100084
China

Danxia Xie

Tsinghua University - Institute of Economics ( email )

MingZhai Building
Beijing, 100084
China

HOME PAGE: http://sites.google.com/site/xiedanxia/

Fei Hao

University of International Business and Economics (UIBE) - Business School ( email )

Di Zhou

Tongji University - School of Economics and Management ( email )

Siping Road 1500
Shanghai, Shanghai 200092
China

Xinwei Shi

Durham Business School ( email )

Hongwei Kou

Tsinghua University ( email )

Beijing, 100084
China

Zhengyao Kang

University of Bristol Business School ( email )

Queen's Ave
Bristol, BS8 1SD
United Kingdom

Kaicheng Liao

Tongji University - School of Economics and Management

Siping Road 1500
Shanghai, Shanghai 200092
China

Yi Li

affiliation not provided to SSRN ( email )

Zhen Sun

Tsinghua University - School of Social Sciences ( email )

Beijing, 100084
China

Jiexin Wang (Contact Author)

Tsinghua University - Institute of Economics ( email )

MingZhai Building
Beijing, 100084
China

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