Vulnerability assessment of marine economic system based on comprehensive index and catastrophe progression model

被引:8
|
作者
Gao, Sheng [1 ,2 ]
Sun, Huihui [1 ,2 ]
Ma, Miaosen [1 ,2 ]
Lu, Yanyan [1 ,2 ]
Yao, Yuan [1 ,2 ]
Liu, Wei [1 ,2 ]
机构
[1] Nanjing Audit Univ, Inst Nat Resources & Environm Audits, Nanjing 211815, Jiangsu, Peoples R China
[2] Nanjing Audit Univ, Sch Govt Audit, Nanjing, Peoples R China
关键词
Marine economic system; Vulnerability; Comprehensive index; Catastrophe series;
D O I
10.1080/20964129.2020.1834459
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The sustainable development of the marine economic system to accurately grasp the dynamic evolution characteristics and main driving factors of the vulnerability of the marine economic system so as to effectively identify the problems in the operation of the marine economy is extremely important. Based on the establishment of a three-level assessment index system for the vulnerability of the marine economic system, the vulnerability of the marine economic system of Jiangsu Province in 2008-2016 was evaluated by using the comprehensive index model and the catastrophe progression model, and the results were compared based on the unified evaluation criteria. The main influencing factors were analyzed by principal component analysis and Pearson correlation analysis. It's found that 2014, 2015, and 2012 are in a general state, 2009 and 2010 are in a poor state, and the vulnerability state from 2008 to 2011 is lower than that in 2012. The overall volatility is small indicating a stable system. Among them, the scale of marine industry and profit and loss of marine resources are the main components of marine economic system vulnerability having the highest correlation with the vulnerability of marine economic system. This study enriches the theoretical method and empirical research on the vulnerability of the marine economic system and has practical significance in allowing for timely targeted control measures to affect the vulnerability of the marine economic system.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Vulnerability Assessment and Spatiotemporal Differentiation of Provinces Tourism Economic System Based on the Projection Pursuit Clustering Model
    Yu, Xiaohong
    Xu, Haiyan
    Wang, Shengqiao
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2021, 2021
  • [22] Comprehensive Assessment of Marine Ecological Environment Based on Entropy Weight Model
    Li, Yancang
    Zhao, Lei
    Suo, Juanjuan
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2015, 24 (01): : 151 - 155
  • [23] A comprehensive review of groundwater vulnerability assessment using index-based, modelling, and coupling methods
    Goyal, Deepali
    Haritash, A. K.
    Singh, S. K.
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 296
  • [24] Economic Dispatching of Wind and Hydropower Complementary System Based on Comprehensive Benefit Index System
    Lai C.
    Ma G.
    Xie H.
    Chen S.
    Xia L.
    Yang H.
    Ma, Guangwen (magw8158@163.com); Ma, Guangwen (magw8158@163.com), 1600, Power System Technology Press (45): : 4319 - 4327
  • [25] Regional Marine Economic Development and Gray Prediction Based on Comprehensive Evaluation System
    Zhang, Qiang
    JOURNAL OF COASTAL RESEARCH, 2020, : 191 - 194
  • [26] A Vulnerability Assessment Tool Based on OVAL in System Block Model
    Lee, Geuk
    Ko, Il-Seok
    Kim, Tai-hoon
    INTELLIGENT COMPUTING, PART I: INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING, ICIC 2006, PART I, 2006, 4113 : 1115 - 1120
  • [27] Marine Oil Spill Emergency System Vulnerability Assessment
    Chen Jie
    Wang Haiyan
    Wang Xiaoli
    Liu Qing
    PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON INNOVATION AND MANAGEMENT, VOLS I & II, 2017, : 605 - 614
  • [28] Risk assessment of glacial lake outburst based on catastrophe progression assessment method
    Construction College Jilin University, Changchun, China
    Intl. J. Earth Sci. Eng., 5 (2326-2332):
  • [30] Empirical research on rural e-commerce development level index system based on catastrophe progression method
    Hong Liu
    Chunmei Ai
    Cluster Computing, 2019, 22 : 6101 - 6109