The Impact of Smart City Policies on City Resilience: An Evaluation of 282 Chinese Cities

被引:0
|
作者
Feng, Yahong [1 ]
Wang, Jie [1 ]
Zhang, Tianlun [2 ]
机构
[1] Xian Univ Sci & Technol, Sch Management, Xian 710054, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Publ Policy & Management, Xian 710049, Peoples R China
关键词
smart city; urban resilience; industrial structure upgrading; multiperiod double difference;
D O I
10.3390/su16198669
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study uses four dimensions, namely social resilience, economic resilience, infrastructure resilience, and ecological resilience, to construct an index system for urban resilience. The subject data came from the panel data of 282 prefecture-level cities in China from 2006 to 2020. We selected a multiperiod double-difference model to study the effects of smart city pilot policies on macro-urban resilience. By conducting parallel-trend tests and selecting appropriate robustness tests, this study drew the following relevant conclusion: smart city pilot policies can have a positive effect on the urban resilience level. These policies exert their influence by facilitating industrial structure upgrading, which plays a partial mediating role. Considering different city area distributions and city scales, smart city pilot policies can have significant heterogeneity in their enhancement of urban resilience. The effect is pronounced in the "east > central > west" states and is more likely to have a significant impact on small- and medium-sized cities. Therefore, promoting the scope of smart city pilots, strengthening the intermediary role of industrial structure upgrading, and implementing differentiated policies for different regions and city sizes are important for sustainable urban development.
引用
收藏
页数:19
相关论文
共 50 条
  • [31] Comparative Study on Chinese Smart City Models
    Zhu Xiao-ning
    Wang Lu-hui
    PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON PUBLIC ADMINISTRATION (9TH), VOL II, 2013, : 287 - 292
  • [32] EVALUATION OF SMART CITY LOGISTICS SOLUTIONS
    Tadic, Snezana
    Krstic, Mladen
    Kovac, Milovan
    Brnjac, Nikolina
    PROMET-TRAFFIC & TRANSPORTATION, 2022, 34 (05): : 725 - 738
  • [33] Evaluation of the Smart Cities Listed in Smart City Index 2021 by Using Entropy Based Copras and Aras Methodology
    Gelmez, Emel
    Ozceylan, Eren
    FOUNDATIONS OF COMPUTING AND DECISION SCIENCES, 2023, 48 (02) : 153 - 180
  • [34] From a Traditional City to a Smart City: The Measurement of Cities' Readiness for Transition, Egypt as a Case Study
    Hassebo, Ahmed
    Tealab, Mohamed
    Hamouda, Mosaad
    URBAN SCIENCE, 2024, 8 (04)
  • [35] Open Government Data (OGD) as a catalyst for smart city development: Empirical evidence from Chinese cities
    Wang, Ruoyun
    Xu, Corey Kewei
    Wu, Xun
    GOVERNMENT INFORMATION QUARTERLY, 2024, 41 (04)
  • [36] European and Italian experience of Smart Cities: a model for the smart planning of city built
    Vattano, Starlight
    TECHNE-JOURNAL OF TECHNOLOGY FOR ARCHITECTURE AND ENVIRONMENT, 2013, 5 : 110 - 116
  • [37] Impact of smart city construction policy on high-quality economic development of coastal cities
    Wang, Lihong
    Li, Feng
    Gao, Yang
    Yin, Kedong
    FRONTIERS IN MARINE SCIENCE, 2025, 11
  • [38] The Paradigm of the Modern City: SMART and SENSEable Cities for Smart, Inclusive and Sustainable Growth
    Greco, Ilaria
    Bencardino, Massimiliano
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2014, PT II, 2014, 8580 : 579 - +
  • [39] Smart City: A Perspective of Emergency and Resilience at a Community Level in Shanghai
    Shi, Xiaoning
    Sun, Wenchen
    Voss, Stefan
    Jin, Jiangang
    COMPUTATIONAL LOGISTICS, ICCL 2020, 2020, 12433 : 522 - 536
  • [40] Is a Smart City Framework the Key to Disaster Resilience? A Systematic Review
    Seong, Kijin
    Jiao, Junfeng
    JOURNAL OF PLANNING LITERATURE, 2024, 39 (01) : 62 - 78