Analysis of local governments' marine governance efficiency using a spatiotemporal coupling coordination model: a case study of coastal cities in Liaoning Province, China

被引:0
|
作者
Liu, Wanbo [1 ]
Shen, Fangfang [2 ]
Zhao, Dongxia [2 ,3 ]
机构
[1] Liaoning Normal Univ, Sch Geog, Dalian 116029, Peoples R China
[2] Liaoning Normal Univ, Sch Govt, Dalian 116029, Peoples R China
[3] Liaoning Normal Univ, Inst Marine Sustainable Dev, Dalian 116029, Peoples R China
来源
COMPUTATIONAL URBAN SCIENCE | 2022年 / 2卷 / 01期
关键词
Marine governance; Effectiveness evaluation; Spatiotemporal weight matrix; Spatiotemporal changes; Spatiotemporal coupling coordination model; Liaoning coastal area; MANAGEMENT; FRAMEWORK; SUSTAINABILITY; OCEAN; AHP;
D O I
10.1007/s43762-022-00062-x
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Coastal areas have the most obvious ocean-land interaction and experience the most frequent human activities. As the development of coastal areas has a high degree of spatiotemporal variability, local governments bear direct responsibility for marine governance, yet accurately evaluating and analyzing local governments' marine governance efficiency in coastal areas is challenging. This study constructs a spatiotemporal coupling coordination model to comprehensively evaluate local governments' marine governance efficiency in six coastal cities in Liaoning Province from 2004 to 2019. A complex system was necessary to obtain the development level, discrete degree, and development speed of each subsystem. The construction of the evaluation index system was the foundation, and the construction of the spatiotemporal weight matrix was the key. The results show that overall, the local governments' marine governance efficiency level is generally increasing, and the agglomeration effect is obvious. The efficiency of each cities' economic, ecological, and social governance subsystem is in a process of continuous and dynamic change. The coupling and coordination degrees of the six governance systems have continuously improved and the spatial and temporal differences have decreased; each city shows different coupling and coordination degrees in each subsystem. Regarding the factors affecting comprehensive marine management, Liaoning's coastal areas fail to attract foreign tourists; the discharge and treatment of industrial wastewater restricts ecological governance; and the reduction of fisheries hinders the social governance system's efficiency. The results contribute to the understanding of costal cities' marine governance and promote the sustainable development of coastal areas.
引用
下载
收藏
页数:16
相关论文
共 50 条
  • [41] Spatiotemporal Patterns and Coupling Coordination Analysis of Multiscale Social-Economic-Ecological Effects in Ecologically Vulnerable Areas Based on Multi-Source Data: A Case Study of the Tuha Region, Xinjiang Province
    Kou, Yanfei
    Chen, Sanming
    Zhou, Kefa
    Qiu, Ziyun
    He, Jiaming
    Shi, Xian
    Zhou, Xiaozhen
    Zhang, Qing
    LAND, 2024, 13 (03)
  • [42] Eco-Efficiency Evaluation of Integrated Transportation Hub Using Super-Efficiency EBM Model and Tobit Regressive Analysis - Case Study in China
    Wang, Ling
    Wang, Qi
    PROMET-TRAFFIC & TRANSPORTATION, 2024, 36 (02): : 307 - 325
  • [43] Groundwater source identification based on principal component analysis and improved extreme learning machine algorithm using the genetic algorithm: a case study from the Dagushan iron mine, Liaoning Province, China
    Qian Hao
    Xiong Wu
    Wenping Mu
    Fan Yu
    Arabian Journal of Geosciences, 2022, 15 (6)
  • [44] Identifying the Response of Ecological Well–Being to Ecosystem Services of Urban Green Space Using the Coupling Coordination Degree Model: A Case Study of Beijing, China, 2015–2023
    Gan, Huimin
    Feng, Ji
    Zhao, Zheng
    Ma, Li
    Di, Shuyi
    Wen, Yali
    Forests, 2024, 15 (09):
  • [45] Analysis of coupling coordination structural characteristics of water-energy-food-ecosystems based on SNA model: A case study in the nine provinces along the Yellow River, China
    Zhang, Lin
    Jiang, Xiaohui
    Li, Yuehong
    Xu, Fangbing
    Huang, Xin
    PHYSICS AND CHEMISTRY OF THE EARTH, 2024, 135
  • [46] Exploring the Relationship between Urbanization and Eco-Environment Using Dynamic Coupling Coordination Degree Model: Case Study of Beijing-Tianjin-Hebei Urban Agglomeration, China
    Wu, Xuying
    Zhang, Yanjun
    Li, Xiaoyan
    LAND, 2024, 13 (06)
  • [47] Spatiotemporal Analysis and Prediction of Urban Land Use/Land Cover Changes Using a Cellular Automata and Novel Patch-Generating Land Use Simulation Model: A Study of Zhejiang Province, China
    Koko, Auwalu Faisal
    Han, Zexu
    Wu, Yue
    Ding, Nan
    Zhang, Siyuan
    Luo, Jiayang
    LAND, 2023, 12 (08)
  • [48] Reconstruction and Pattern Analysis of Historical Urbanization of Pre-Modern China in the 1910s Using Topographic Maps and the GIS-ESDA Model: A Case Study in Zhejiang Province, China
    Wan, Zhiwei
    Chen, Xi
    Ju, Min
    Ling, Chaohao
    Liu, Guangxu
    Liao, Fuqiang
    Jia, Yulian
    Jiang, Meixin
    SUSTAINABILITY, 2020, 12 (02)
  • [49] Bridging Local Governments and Residents for Household Waste Source Separation Using a Business-Driven, Multi-Stakeholder Cooperative Partnership Model-A Case Study of HUGE Recycling in Yuhang, Hangzhou, China
    Zhuo, Qiannan
    Liu, Chen
    Wang, Beiqi
    Yan, Wanglin
    SUSTAINABILITY, 2023, 15 (15)
  • [50] Analysis of the Response of Long-Term Vegetation Dynamics to Climate Variability Using the Pruned Exact Linear Time (PELT) Method and Disturbance Lag Model (DLM) Based on Remote Sensing Data: A Case Study in Guangdong Province (China)
    Wang, Sai
    Fan, Fenglei
    REMOTE SENSING, 2021, 13 (10)