The article analyses the differentiation of marine fishing industry’s agglomeration with time and in space by establishing the panel data’s unit root test model，in which 11 coastal provinces’location entropy in marine fishing industry were selected. It turns out that，on average，the location entropy of Hainan，Fujian and Tianjin are 15.8，4.4 and 0.257，while location entropy of Liaoning，Hebei，Shandong，Jiangsu，Shanghai，Zhejiang，Guangdong，Guangxi are from 0.3 to 3，which presents an olive-shaped structure；the location entropy of 11 provinces shows slight fluctuations from 2005 to 2014，which means the agglomeration level has no obvious trend of increase or decrease while marine fishing industry’s agglomeration level develops steadily with time. The unit root test results of Guangxi，Guangdong，Liaoning are stable，which shows marine fishing industry’s growth coordinates with local economic development；results of Hainan，Zhejiang，Jiangsu，Hebei，Tianjin，Fujian，Shandong，Shanghai are unstable，which shows the growth of the eight provinces’marine fishing industry exceeds or lags behind the development of local economy. In other words，the agglomeration pattern in the 8 provinces adjusted with time.