Towards resilience effectiveness: Assessing its patterns and determinants to identify optimal geographic zones

被引:10
作者
Cheng, Tong [1 ,2 ]
Zhao, Yonghua [1 ,2 ,7 ]
Song, Yongze [3 ]
Ma, Le [4 ]
Zhang, Zehua [3 ]
Luo, Peng [5 ]
Gao, Peng [1 ]
Zhang, Mengna [1 ]
Zhao, Chunjiang [1 ,6 ,7 ]
机构
[1] Changan Univ, Sch Land Engn, Shaanxi Prov Land Consolidat Engn Technol Res Ctr, Shaanxi Key Lab Land Consolidat, Xian 710054, Peoples R China
[2] Minist Nat & Resources, Key Lab Degraded & Unused Land Consolidat Engn, Beijing, Peoples R China
[3] Curtin Univ, Sch Design & Built Environm, Perth, Australia
[4] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, 129 Luoyu Rd, Wuhan 430079, Peoples R China
[5] Tech Univ Munich, Chair Cartog, Munich, Germany
[6] Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
[7] Changan Univ, Sch Land Engn, 126 Yanta Rd, Xian 710054, Peoples R China
基金
中国国家自然科学基金;
关键词
COVID-19; Resilience effectiveness; Economic resilience; Patterns; Determinants; Optimal geographic zones; SLACKS-BASED MEASURE; SPATIAL ASSOCIATION; AIR-POLLUTION; EFFICIENCY; CHINA;
D O I
10.1016/j.jclepro.2023.139596
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Resilience has a critical role to promote human well-being in turbulent environments. However, extensive interventions and stimulus measures not only achieve resilience goals with numerous unacceptable consequences, but also highlight the narrow definition of resilience. The study proposes the concept of resilience effectiveness to constrain the unsustainability of resilience in concept and practice. The resilience effectiveness of Chinese cities in the early stages of the pandemic is first implemented for evaluation based on input-output relationship, and then patterns and determinants are investigated using the GIS methods and the geographically optimal zonesbased heterogeneity (GOZH) model. The study finds that the average resilience effectiveness is not high, indicating that China's strong resilience is the loss of safety, greenness, inclusiveness, and efficiency in the early stage of the pandemic. Resilience effectiveness has significant spatial heterogeneity and is dominated by innovation ability. The optimal geographic zones of Chinese cities for resilience effectiveness are identified, revealing that it is a complex and multifactorial process. This paper broadens resilience research and provides implications for city planning in the post-pandemic era.
引用
收藏
页数:12
相关论文
共 74 条
  • [1] Towards building resilient cities to pandemics: A review of COVID-19 literature
    Amirzadeh, Melika
    Sobhaninia, Saeideh
    Buckman, Stephen T.
    Sharifi, Ayyoob
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2023, 89
  • [2] Urban resilience: A vague or an evolutionary concept?
    Amirzadeh, Melika
    Sobhaninia, Saeideh
    Sharifi, Ayyoob
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2022, 81
  • [3] COVID-19 recovery funds dwarf clean energy investment needs
    Andrijevic, Marina
    Schleussner, Carl-Friedrich
    Gidden, Matthew J.
    McCollum, David L.
    Rogelj, Joeri
    [J]. SCIENCE, 2020, 370 (6514) : 298 - 300
  • [4] [Anonymous], 2021, International Monetary Fund
  • [5] LOCAL INDICATORS OF SPATIAL ASSOCIATION - LISA
    ANSELIN, L
    [J]. GEOGRAPHICAL ANALYSIS, 1995, 27 (02) : 93 - 115
  • [6] Natural disasters as a development opportunity: a spatial economic resilience interpretation
    Banica, Alexandru
    Kourtit, Karima
    Nijkamp, Peter
    [J]. REVIEW OF REGIONAL RESEARCH-JAHRBUCH FUR REGIONALWISSENSCHAFT, 2020, 40 (02): : 223 - 249
  • [7] Understanding plastics pollution: The role of economic development and technological research
    Barnes, Stuart J.
    [J]. ENVIRONMENTAL POLLUTION, 2019, 249 : 812 - 821
  • [8] A foundational framework for smart sustainable city development: Theoretical, disciplinary, and discursive dimensions and their synergies
    Bibri, Simon Elias
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2018, 38 : 758 - 794
  • [9] Boost resilience of small and mid-sized cities
    Birkmann, Joern
    Welle, Torsten
    Solecki, William
    Lwasa, Shuaib
    Garschagen, Matthias
    [J]. NATURE, 2016, 537 (7622) : 605 - 608
  • [10] Impact assessment of population migration on energy consumption and carbon emissions in China: A spatial econometric investigation
    Bu, Yan
    Wang, Erda
    Qiu, Yingying
    Moest, Dominik
    [J]. ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2022, 93