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An interprovincial input–output database distinguishing firm ownership in China from 1997 to 2017

Input-Output (IO) data describing supply-demand relationships between buyers and sellers for goods and services within an economy have been used not only in economics but also in scientific, environmental, and interdisciplinary research. However, most conventional IO data are highly aggregated, resu...

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Autores principales: Chen, Quanrun, Gao, Yuning, Pan, Chen, Xu, Dingyi, Cai, Kun, Guan, Dabo, He, Qi, Li, Shantong, Liu, Wanqi, Meng, Bo, Wang, Zhi, Wang, Yang, Xu, Xianchun, Yang, Peihao, Zhang, Meichen, Zhou, Yuanqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196326/
https://www.ncbi.nlm.nih.gov/pubmed/37208360
http://dx.doi.org/10.1038/s41597-023-02183-2
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author Chen, Quanrun
Gao, Yuning
Pan, Chen
Xu, Dingyi
Cai, Kun
Guan, Dabo
He, Qi
Li, Shantong
Liu, Wanqi
Meng, Bo
Wang, Zhi
Wang, Yang
Xu, Xianchun
Yang, Peihao
Zhang, Meichen
Zhou, Yuanqi
author_facet Chen, Quanrun
Gao, Yuning
Pan, Chen
Xu, Dingyi
Cai, Kun
Guan, Dabo
He, Qi
Li, Shantong
Liu, Wanqi
Meng, Bo
Wang, Zhi
Wang, Yang
Xu, Xianchun
Yang, Peihao
Zhang, Meichen
Zhou, Yuanqi
author_sort Chen, Quanrun
collection PubMed
description Input-Output (IO) data describing supply-demand relationships between buyers and sellers for goods and services within an economy have been used not only in economics but also in scientific, environmental, and interdisciplinary research. However, most conventional IO data are highly aggregated, resulting in challenges for researchers and practitioners who face complex issues in large countries such as China, where firms within the same IO sector may have significant differences in technologies across subnational regions and different ownerships. This paper is the first attempt to compile China’s interprovincial IO (IPIO) tables with separate information for mainland China-, Hong Kong, Macau, Taiwan-, and foreign-owned firms inside each province/industry pair. To do this, we collect relevant Chinese economic census data, firm surveys, product level Custom trade statistics, and firm value-added tax invoices and consistently integrate them into a 42-sector, 31-province IO account covering 5 benchmark years between 1997–2017. This work provides a solid foundation for a diverse range of innovative IO-based research in which firm heterogeneity information about location and ownership matters.
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spelling pubmed-101963262023-05-21 An interprovincial input–output database distinguishing firm ownership in China from 1997 to 2017 Chen, Quanrun Gao, Yuning Pan, Chen Xu, Dingyi Cai, Kun Guan, Dabo He, Qi Li, Shantong Liu, Wanqi Meng, Bo Wang, Zhi Wang, Yang Xu, Xianchun Yang, Peihao Zhang, Meichen Zhou, Yuanqi Sci Data Data Descriptor Input-Output (IO) data describing supply-demand relationships between buyers and sellers for goods and services within an economy have been used not only in economics but also in scientific, environmental, and interdisciplinary research. However, most conventional IO data are highly aggregated, resulting in challenges for researchers and practitioners who face complex issues in large countries such as China, where firms within the same IO sector may have significant differences in technologies across subnational regions and different ownerships. This paper is the first attempt to compile China’s interprovincial IO (IPIO) tables with separate information for mainland China-, Hong Kong, Macau, Taiwan-, and foreign-owned firms inside each province/industry pair. To do this, we collect relevant Chinese economic census data, firm surveys, product level Custom trade statistics, and firm value-added tax invoices and consistently integrate them into a 42-sector, 31-province IO account covering 5 benchmark years between 1997–2017. This work provides a solid foundation for a diverse range of innovative IO-based research in which firm heterogeneity information about location and ownership matters. Nature Publishing Group UK 2023-05-18 /pmc/articles/PMC10196326/ /pubmed/37208360 http://dx.doi.org/10.1038/s41597-023-02183-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Chen, Quanrun
Gao, Yuning
Pan, Chen
Xu, Dingyi
Cai, Kun
Guan, Dabo
He, Qi
Li, Shantong
Liu, Wanqi
Meng, Bo
Wang, Zhi
Wang, Yang
Xu, Xianchun
Yang, Peihao
Zhang, Meichen
Zhou, Yuanqi
An interprovincial input–output database distinguishing firm ownership in China from 1997 to 2017
title An interprovincial input–output database distinguishing firm ownership in China from 1997 to 2017
title_full An interprovincial input–output database distinguishing firm ownership in China from 1997 to 2017
title_fullStr An interprovincial input–output database distinguishing firm ownership in China from 1997 to 2017
title_full_unstemmed An interprovincial input–output database distinguishing firm ownership in China from 1997 to 2017
title_short An interprovincial input–output database distinguishing firm ownership in China from 1997 to 2017
title_sort interprovincial input–output database distinguishing firm ownership in china from 1997 to 2017
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196326/
https://www.ncbi.nlm.nih.gov/pubmed/37208360
http://dx.doi.org/10.1038/s41597-023-02183-2
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