Liang Xiaoying, Zheng Chuanzeng, Zheng Li, Zhu Kunfu, Zhang Zengkai
State Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen, Fujian, 361102, China.
National Marine Data & Information Service, Tianjin, 300171, China.
Sci Data. 2025 May 27;12(1):876. doi: 10.1038/s41597-025-05221-3.
The ocean economic input-output (IO) tables are essential databases for analyzing the ocean economy. However, the IO tables issued by Chinese government's statistical department adopt the conventional economic sector classifications, which fall short in capturing the heterogeneity of the ocean and land sectors. To fill this gap, we used the stripping coefficient method to construct the ocean economic IO tables of 11 coastal provinces in China, relying on the latest official provincial IO tables in 2017 and ocean economy data published by official institutions. The provincial ocean economic IO tables, which reflect the interconnectedness among 13 ocean sectors and 42 land sectors, could be widely used to support the ocean policy evaluation at the provincial level. To clarify the interlinkage between Chinese ocean economies and foreign economies, we further differentiated the Chinese ocean sectors from a global multi-regional input-output table that contains Chinese provinces. This dataset could be used to evaluate the development of ocean economy in China from a global perspective.
海洋经济投入产出（IO）表是分析海洋经济的重要数据库。然而，中国政府统计部门发布的IO表采用传统经济部门分类，在反映海洋和陆地部门的异质性方面存在不足。为填补这一空白，我们利用剥离系数法，依据2017年最新官方省级IO表和官方机构发布的海洋经济数据，构建了中国11个沿海省份的海洋经济IO表。省级海洋经济IO表反映了13个海洋部门与42个陆地部门之间的相互联系，可广泛用于支持省级层面的海洋政策评估。为厘清中国海洋经济与外国经济之间的联系，我们进一步从包含中国省份的全球多区域投入产出表中区分出中国海洋部门。该数据集可用于从全球视角评估中国海洋经济的发展。
