Regional Economic Resilience of the Old Industrial Bases in China—A Case Study of Liaoning Province

Li, Liangang; Zhang, Pingyu; Li, Xin

doi:10.3390/su11030723

Cited by 36 publications

(40 citation statements)

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“…Guan et al () developed an analytical framework for the industrial structure evolution of old industrial cities, and took Shenyang as an example. Li, Zhang, and Li () examined regional economic resilience of Liaoning Province in China in terms of resistance and recoverability. Tan et al () quantitatively analyzed the economic resilience of RBCs in Northeast China in terms of resistance and recoverability.…”

Section: Literature Reviewmentioning

confidence: 99%

Regional economic resilience of resource‐based cities and influential factors during economic crises in China

Tan

Fang-dao

et al. 2019

Growth and Change

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Resource‐based cities (RBCs) whose economies depend primarily on exploiting and processing natural resources usually have rigid, singular, and low‐end industrial structures, which often cripples their ability to cope with external disturbances such as international resource price fluctuations and economic downturns. This paper quantitatively analyzes the economic resilience of RBCs in China in terms of resistance and recoverability during the Asian financial crisis and the global financial crisis. Furthermore, it identifies the main factors affecting resilience. There are four main findings: First, RBCs were quickly and negatively impacted by the Asian financial crisis, which suggests that economic resistance was generally low during this period. In the recovery period, while the rate of recovery was slow at the beginning, economic recoverability improved after 2002. Economic resistance and recoverability were found to have a strong negative correlation. Second, at the beginning of the global financial crisis, the economic resistance of RBCs was generally high. However, after 2012, the number of cities that were severely affected by the economic crisis increased rapidly. Third, economic resistance varied across different types of RBCs. Coal‐based and forestry‐based cities had lower economic resistance, while oil & gas‐based cities were more resistant. RBCs in the Eastern region generally had low economic resistance, while the economic resilience of recessionary cities was also low. Finally, while factors affecting the economic resilience varied across the two economic cycles, we found that economic development, labor conditions and, most of all, the industrial structure had a statistically significant negative effect on economic resilience.

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Section: Literature Reviewmentioning

confidence: 99%

Regional economic resilience of resource‐based cities and influential factors during economic crises in China

Tan

Fang-dao

et al. 2019

Growth and Change

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“…We define RER as the ability of a regional economic system to mitigate the impact of shocks and its ability to adapt to the transition to quickly resume it original development path, or shift to a better development path (Martin, 2012;Martin and Sunley, 2015;Martin et al, 2016;Li et al, 2019). Based on this definition, we constructed an RER conceptual model based on a number of slow burn scenarios (Fig.…”

Section: Rer Analysis Framework and Indicator System 221 Rer Analysmentioning

confidence: 99%

“…Industrial structure is considered a key factor affecting RER (Li et al, 2019). Some studies find that the regions dominated by manufacturing and construction industries show low economic resilience (Davies, 2011;Angulo et al, 2018).…”

Section: Indicator System Compositionmentioning

confidence: 99%

“…The secondary sector is typically restricted by resources and is closely related to the market environment. When resources are exhausted or external market demand is reduced, the regional economy will rapidly decline (Li et al, 2019). The excessive development of the secondary sector may therefore limit regional economic resilience.…”

Section: Indicator System Compositionmentioning

confidence: 99%

“…The first stage is the release-reorganization stage spanning 2000 to 2004. In the 1990s, the rapid economic decline of the old industrial bases in Northeast China, known as the 'Northeast Phenomenon', caused by long-term structural and institutional issues instigated a release process in Liaoning Province, causing a decline of RER (Li et al, 2019). However, with the central government's support of old industrial bases in Northeast China and the official implementation of the 'Northeast Revitalization' strategy in 2003, Liaoning Province received financial and policy support to reverse the economic downturn.…”

Section: Division Of Rer Evolutionary Stages Of Liaoning Provincementioning

confidence: 99%

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The Evolution of Regional Economic Resilience in the Old Industrial Bases in China: A Case Study of Liaoning Province, China

Zhang

et al. 2020

Chin. Geogr. Sci.

Self Cite

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The economic transformation of the old industrial bases is a key research topic among geographers in China. In this paper, we propose that the concept of regional economic resilience (RER) has unique theoretical value in analyzing the economic transformation of the old industrial bases. We constructed an analytical framework and an index system and applied the conceptual tools to study the evolution of RER in the old industrial base of Liaoning Province in China, which is currently subjected to not only sudden shocks but 'slow burn'-longer term processes of change that may nevertheless affect the regional economy. There are four main findings: first, the evolution of RER in Liaoning can be divided into four stages from 2000 to 2015. Liaoning is currently in its conservation-release period, and the next stage will be a release-reorganization period. Second, the RER of the majority of the studied cities is lower than the average value for Liaoning, and this is mainly attributed to the relatively weak vulnerability-resistance and adaptability-transformation capacity of these cities. Third, the RER levels of the 14 cities in Liaoning differ significantly. At the first level is Shenyang and Dalian, at the second level is Dandong and Yingkou, and the third level comprises the remaining cities. Fourth, regional economic resilience is mainly determined by vulnerability-resistance, which indirectly reflects Liaoning's lack of adaptability-transformation capacity, and the ability of the region to renew or create a new development path is weak.

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Regional Economic Resilience of Resource-Based Cities and Influential Factors During Economic Crises in China

Tan

2021

Studien Zur Resilienzforschung

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Regional Economic Resilience of the Old Industrial Bases in China—A Case Study of Liaoning Province

Cited by 36 publications

References 36 publications

Regional economic resilience of resource‐based cities and influential factors during economic crises in China

Regional economic resilience of resource‐based cities and influential factors during economic crises in China

The Evolution of Regional Economic Resilience in the Old Industrial Bases in China: A Case Study of Liaoning Province, China

Regional Economic Resilience of Resource-Based Cities and Influential Factors During Economic Crises in China

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