基于熵权TOPSIS模型的山东省海洋经济系统脆弱性评价与障碍度分析

在建设海洋强国的背景下，山东省的海洋经济系统脆弱性的研究对于海洋经济的可持续发展具有重要意义。文章从应对能力、敏感性、胁迫性和弹性这4个方面构建了海洋经济系统脆弱性的指标体系，并基于熵权法求出指标权重结合TOPSIS模型和对2007—2019年的山东省海洋经济系统脆弱性进行了分析，并结合障碍度模型，从指标层详细研究了影响海洋经济系统脆弱性的前5个障碍影响因子。研究发现：首先，山东省海洋经济系统脆弱性在2007—2014年经历了较为明显的波动，且从2014年以来，山东省海洋经济的系统脆弱性程度呈现下降趋势；其次，整体上看，敏感性呈现逐步上升的趋势，应对能力和胁迫性在经历最初的大起大落后，分别从2009年和2013年开始呈现攀升的势头，而弹性除了2013年的极端高值外，其余年份呈现较为稳定的状态；最后，通过对各年度准则层障碍度分析发现，应对能力(R)和敏感性(S)起主要影响作用；而通过指标层的障碍度分析发现，工业废水排放总量(万t)、入境旅游外汇收入(万美元)、全社会固定资产投资(亿元)、旅客吞吐量(万人次)、海洋产业结构多样化指数、人均城市道路面积(m²)、海洋第三...

Vulnerability Assessment and Obstacle Degree Analysis of Marine Economic System in Shandong Province Based on Entropy Weight TOPSIS Model

In the context of constructing a powerful marine country, the research on the vulnerability of the marine economic system in Shandong Province is of great significance for the sustainable development of the marine economy. This paper constructed an index system of marine economic system vulnerability from four aspects: coping capability, sensitivity, coercion and elasticity, and calculated the index weight based on the entropy weight method. The vulnerability of the system was analyzed, and combined with the obstacle degree model, the first five obstacles affecting the vulnerability of the marine economic system were studied in detail from the index level. The study found: First, the vulnerability of the marine economic system in Shandong Province experienced obvious fluctuations from 2007 to 2014, and since 2014, the degree of system vulnerability of the marine economy in Shandong Province has shown a downward trend; overall, the sensitivity showing a gradual upward trend, the coping ability and coercion have experienced the initial big ups and downs, and have shown upward momentum since 2009 and 2013, respectively. Except for the extremely high value in 2013, the other years showed relatively stable elasticity. Finally, through the analysis of the obstacle degree of the standard layer in each year, it was found that the coping ability (R) and sensitivity (S) played a major role, and through the obstacle degree analysis of the index layer, it was found that the total industrial wastewater discharge (10,000 tons) ), foreign exchange income from inbound tourism (10,000 US dollars), investment in fixed assets of the whole society (100 million yuan), passenger throughput (10,000 person-times), marine industrial structure diversification index, per capita urban road area (square meters), marine tertiary industry accounted for ratio (%) and number of protected areas (pieces) was the main obstacle.