近日，中心客座教授、日本亚洲经济研究所高级研究员孟渤以湖北经济学院为署名单位与合作者在Nature子刊《Scientific Data》发表论文《An interprovincial input–output database distinguishing firm ownership in China from 1997 to 2017》。
《Scientific Data》是Nature旗下刊物，发行于2014年，致力于发表具有科学价值的数据集，以及能促进科学数据共享和再利用研究。该期刊实时影响因子12.5，JCR分区Q1。
文章首次尝试编制中国省际投资组合(IPIO)表，其中分别包含中国大陆、香港、澳门、台湾和每个省/行业对内的外资企业的信息。为此，文章收集了相关的中国经济普查数据、企业调查、产品层面的海关贸易统计数据和企业增值税发票，并将其持续整合到一个涵盖42个行业、31个省份的IO账户中，涵盖1997-2017年的5个基准年。这项工作为一系列创新的基于IO的研究提供了坚实的基础。在跨省供应链演进过程中分别追踪外商投资企业和HTM企业的生产和贸易活动，对于理解中国国内供应链的技术和环境溢出效应以及中国在全球供应链中的未来角色具有重要意义。
Abstract
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 of 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.
