An inter-city input-output database distinguishing firm ownership in the Greater China area during 2002–2017

Most multi-region input-output (MRIO) tables in China focus on provinces or urban agglomerations and ignore the tremendous geographical heterogeneities of economic activities across Chinese prefectural cities, where regional economic centres are usually located for domestic and global production. This paper constructs an inter-city input-output (IO) database with 42 sectors in the Greater China area. Compared with previous MRIO tables, it has three important features: (1) A complete coverage of Chinese cities, including 335 prefectural cities, four municipalities, and Hong Kong, Macao, and Taiwan; (2) Distinguishes three types of firm ownership for every city and sector for four benchmark years; (3) A novel data completion approach to reconcile all accessible micro-level data with city and provincial-level aggregate statistics, and effectively combining the bottom-up and top-down methods commonly used in the MRIO compilation literature. The database can be used in a diverse range of socioeconomic and interdisciplinary issues in the Greater China area at the city level. It also sheds light on other large economies to develop their own inter-city IO tables.

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Publication Details

Journal
Scientific Data
Published
2025-05-01
DOI
https://doi.org/10.1038/s41597-025-04996-9
Citations
4
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
3.20

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article

An inter-city input-output database distinguishing firm ownership in the Greater China area during 2002–2017

Zhi Wang, Shantong Li, Xianchun Xu, Meichen Zhang et al.
4 citations
Scientific Data
Environmental Impact and Sustainability
3.20
article

An inter-city input-output database distinguishing firm ownership in the Greater China area during 2002–2017

Zhi Wang, Shantong Li, Xianchun Xu, Meichen Zhang, Bo Meng, Heran Zheng, Dabo Guan, Yang Wang, Qi He, Yafei Wang, Hong Ma, Lixiao Xu, Kun Cai, Q. Ouyang, Ming Ye, Dingyi Xu, Peihao Yang
article en
4 citations

Abstract

Most multi-region input-output (MRIO) tables in China focus on provinces or urban agglomerations and ignore the tremendous geographical heterogeneities of economic activities across Chinese prefectural cities, where regional economic centres are usually located for domestic and global production. This paper constructs an inter-city input-output (IO) database with 42 sectors in the Greater China area. Compared with previous MRIO tables, it has three important features: (1) A complete coverage of Chinese cities, including 335 prefectural cities, four municipalities, and Hong Kong, Macao, and Taiwan; (2) Distinguishes three types of firm ownership for every city and sector for four benchmark years; (3) A novel data completion approach to reconcile all accessible micro-level data with city and provincial-level aggregate statistics, and effectively combining the bottom-up and top-down methods commonly used in the MRIO compilation literature. The database can be used in a diverse range of socioeconomic and interdisciplinary issues in the Greater China area at the city level. It also sheds light on other large economies to develop their own inter-city IO tables.

Scientific DataVol. 12(1)
Shanghai International Studies University (CN), Nanjing Agricultural University (CN), University of International Business and Economics (CN), George Mason University (US), Development Research Center of the State Council (CN), Peking University (CN), Beijing Normal University (CN), Japan External Trade Organization (JP), Ministry of Education (IR), Center of Hubei Cooperative Innovation for Emissions Trading System (CN), University College London (GB), Shanghai University of International Business and Economics (CN), Zhejiang University of Finance and Economics (CN), Tsinghua University (CN)
National Natural Science Foundation of China, General Administration of Customs, Japan Society for the Promotion of Science
Openalex Percentile: Top 9%
Environmental Impact and Sustainability
3.20
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