Spatial pattern evolution and location selection factors of Chinese marine high-tech enterprises
Marine high-tech enterprises are the core carrier and main organization of the marine high-tech industry.The identification of their location characteristics and influencing factors is of great significance for optimizing the spatial layout of regional industries and accelerating the high-quality development of the marine economy.Based on the data analysis of China's marine high-tech enterprises,in this paper the nearest neighbor index,kernel density estimation,hot spot analysis and other methods are adopted to explore the spatial distribution,sub-industry development characteristics,agglomeration characteristics and hotspot division of marine high-tech enterprises.Meanwhile,geographic detectors are used to explore influencing factors and interactions of their spatial distribution.The results show that:(1)The temporal and spatial evolution of China's marine high-tech enterprises in three different development stages has obvious regional differences and industry orientation,that is,the overall pattern is"dense in the north and sparse in the south","high in the east and low in the west",and the distribution is concentrated in the Yangtze River Delta,Beijing-Tianjin-Hebei,Shandong Peninsula,Pearl River Delta and other regions;industries such as seawater utilization,marine biomedicine,and marine equipment manufacturing are the main industries.(2)Both the overall and sub-industries of China's marine high-tech enterprises have the characteristics of spatial agglomeration.All the three development stages have passed the significance test,and the degree of spatial agglomeration is becoming more and more obvious;the spatial distribution density has formed 4 high-density core areas and 3 sub-density core areas and several small core areas;hot spots are mainly concentrated in the Bohai Rim,Yangtze River Delta,and Pearl River Delta.(3)The main core influencing factors are industrial base,economic base,regional characteristics and regional policies.The influence of the interaction of different factors on the spatial distribution of enterprises is greater than the influence of each factor alone.
NETL
NSTL
万方数据
