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2012 年、2015 年和 2017 年中国省级多区域投入产出数据库。

Chinese provincial multi-regional input-output database for 2012, 2015, and 2017.

机构信息

Industrial Ecology Programme, Department of Energy and Process Engineering, Norwegian University of Science and Technology, Trondheim, 7491, Norway.

Institute of Blue and Green Development, Shandong University, Weihai, 264209, China.

出版信息

Sci Data. 2021 Sep 22;8(1):244. doi: 10.1038/s41597-021-01023-5.

Abstract

Global production fragmentation generates indirect socioeconomic and environmental impacts throughout its expanded supply chains. The multi-regional input-output model (MRIO) is a tool commonly used to trace the supply chain and understand spillover effects across regions, but often cannot be applied due to data unavailability, especially at the sub-national level. Here, we present MRIO tables for 2012, 2015, and 2017 for 31 provinces of mainland China in 42 economic sectors. We employ hybrid methods to construct the MRIO tables according to the available data for each year. The dataset is the consistent China MRIO table collection to reveal the evolution of regional supply chains in China's recent economic transition. The dataset illustrates the consistent evolution of China's regional supply chain and its economic structure before the 2018 US-Sino trade war. The dataset can be further applied as a benchmark in a wide range of in-depth studies of production and consumption structures across industries and regions.

摘要

全球生产碎片化在其扩展的供应链中产生间接的社会经济和环境影响。多区域投入产出模型 (MRIO) 是一种常用的工具,用于追踪供应链并了解跨区域的溢出效应,但由于数据不可用,尤其是在国家以下层面,通常无法应用。在这里,我们提供了 2012 年、2015 年和 2017 年中国大陆 31 个省、42 个经济部门的 MRIO 表。我们根据每年可用的数据采用混合方法构建 MRIO 表。该数据集是一致的中国投入产出表集合,以揭示中国近期经济转型中区域供应链的演变。该数据集说明了在 2018 年中美贸易战之前,中国区域供应链及其经济结构的一致演变。该数据集可进一步作为基准,应用于广泛的行业和地区生产和消费结构的深入研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/687e/8458474/93c0433e8cf7/41597_2021_1023_Fig1_HTML.jpg

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