%0 Journal Article %A Zenglin HAN %A Xue XIA %A Xiao LIN %A Lin ZHAO %T Quantitative evaluation of supporting conditions of emerging strategic marine industries in China based on set pair analysis %D 2014 %R 10.11820/dlkxjz.2014.09.004 %J PROGRESS IN GEOGRAPHY %P 1167-1176 %V 33 %N 9 %X

The twenty-first century is an era that humanity challenges the ocean, competition for marine resources among countries in the world becomes increasingly more intense. The ocean becomes a global forefront of a new round of competition, and the development of emerging strategic marine industries becomes national competitions in seizing the strategic high ground. Since the beginning of the century, with the development of marine technology, emerging strategic marine industries gradually became a new growth point of the global economy. Based on the factors affecting industrial development and taking into consideration existing research results and the characteristics of the emerging strategic marine industries, this study selected 22 indicators from six areas, including basic support, economic support, technology support, human resources support, government support, and environmental support to build an evaluation index system of supporting conditions for emerging strategic marine industries. Using this supporting condition evaluation index system, a combination of factor weight derivation methods, set pair analysis, and fuzzy c-means clustering analysis, this study analyzes and compares the supporting conditions of emerging strategic marine industries in 11 coastal provinces in mainland China. The results show that: (1) Overall, there are clear differences among these provinces in supporting conditions. The coastal provinces can be divided into four groups with varied supporting conditions. The first group includes Guangdong, Shandong, and Shanghai Provinces, where comprehensive support is excellent. These provinces are the "three pillars" of emerging strategic marine industry development in China, with a balanced support of each of the six conditions. The second group includes Jiangsu and Liaoning Provinces, where the comprehensive support is relatively good. The third group contains Tianjin, Fujian, and Zhejiang Provinces. In this group, comprehensive support is average, and there is a general lack of single strong supporting condition that contributes to the comprehensive support. The fourth group includes Hebei, Hainan, and Guangxi Provinces. In these provinces, comprehensive support is weak and positive single supporting condition is missing. (2) Comparative advantages and disadvantages of various provinces are analyzed, which provides important support for development planning of emerging strategic marine industries in the coastal provinces and municipalities. In this study, only the current status of China's emerging strategic marine industry supporting conditions have been evaluated. This article proposes that a dynamic trend analysis should be considered in future research.

%U https://www.progressingeography.com/EN/10.11820/dlkxjz.2014.09.004