Ocean economic input-output tables of coastal provinces in China

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.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2025-05-27
DOI
https://doi.org/10.1038/s41597-025-05221-3
Citations
3
Primary Topic
Coastal and Marine Management
Type
article
Field-Weighted Citation Impact
7.27

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ocean economic input-output tables of coastal provinces in China

Chuanzeng Zheng, Zengkai Zhang, Xiaoying Liang, Zheng Li et al.
3 citations
Scientific Data
Coastal and Marine Management
7.27
article

Ocean economic input-output tables of coastal provinces in China

Chuanzeng Zheng, Zengkai Zhang, Xiaoying Liang, Zheng Li, Kunfu Zhu
article en
3 citations

Abstract

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.

Scientific DataVol. 12(1)
Tianjin University (CN), Xiamen University (CN), Tianjin University of Finance and Economics (CN), Shandong Marine Resource and Environment Research Institute (CN), Renmin University of China (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 4%
Coastal and Marine Management
7.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.