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New sights on the impact of spatial composition of production factors for socioeconomic recovery in the post-epidemic era: a case study of cities in central and eastern China.
Liu, Shidong; Zhang, Jie; Zhang, Jianjun.
  • Liu S; School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China.
  • Zhang J; Faculty of Science, University of Copenhagen. Copenhagen 1350, Denmark.
  • Zhang J; Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China.
Sustain Cities Soc ; 85: 104061, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-1926897
ABSTRACT
The COVID-19 pandemic led to a sharp economic contraction. A comprehensive understanding of the relationship between the spatial composition of production factor (SCPF) and socioeconomic recovery is still missing. Here, we applied the contrasting status of nitrogen dioxide (NO2) concentrations in cities in central and eastern China as natural laboratories. From the perspective of the spatial composition of land (SCL) and the dependence on the inflow population (DIP), four quantifiable indicators (resilience, impact, sensitivity, recovery speed) were used to analyze the adaptability of SCPF to the epidemic lockdown. The results indicate that appropriate SCPF is a prerequisite for a complete "land-population-industry" nexus. The built-up area proportion is below 74.38%, with higher adaptability to epidemic shocks. The range of rural built-up proportion conducive to economic recovery is 10.18%-15.18%. The proportions of various land types inside the city's defense unit should also be constrained. Similarly, DIP is advocated to be maintained below 17.5%. For urban-rural fringe areas, the response to epidemic prevention and socioeconomic recovery are rapid. This observation-driven study indicated that COVID-19 is a shocking reminder for policymakers, to improve the socioeconomic recovery ability from the spatial composition of production factor perspective in the post-COVID-19 era.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Case report / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Language: English Journal: Sustain Cities Soc Year: 2022 Document Type: Article Affiliation country: J.scs.2022.104061

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Case report / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Language: English Journal: Sustain Cities Soc Year: 2022 Document Type: Article Affiliation country: J.scs.2022.104061