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

被引:4
|
作者
Chen, Quanrun [1 ]
Gao, Yuning [2 ]
Pan, Chen [3 ]
Xu, Dingyi [1 ]
Cai, Kun [1 ]
Guan, Dabo [4 ]
He, Qi [1 ]
Li, Shantong [5 ]
Liu, Wanqi [6 ]
Meng, Bo [7 ,8 ]
Wang, Zhi [1 ,9 ]
Wang, Yang [10 ]
Xu, Xianchun [11 ]
Yang, Peihao [1 ]
Zhang, Meichen [1 ]
Zhou, Yuanqi [1 ]
机构
[1] Univ Int Business & Econ, Beijing 100029, Peoples R China
[2] Tsinghua Univ, Sch Publ Policy & Management, Beijing 100084, Peoples R China
[3] Chinese Acad Social Sci, Inst Quantitat & Technol Econ, Beijing 100732, Peoples R China
[4] Tsinghua Univ, Dept Earth Syst Sci, Beijing 100084, Peoples R China
[5] Dev Res Ctr State Council, Dept Dev Strategy & Reg Econ, Beijing 100010, Peoples R China
[6] Tsinghua Univ, Tsinghua China Data Ctr, Beijing 100084, Peoples R China
[7] Japan External Trade Org, Inst Developing Econ, 3-2-2, Wakaba,Mihama Ku, Chiba, Chiba 2618545, Japan
[8] Hubei Univ Econ, Wuhan 430205, Hubei, Peoples R China
[9] George Mason Univ, Fairfax, VA 22030 USA
[10] Tsinghua Univ, Sch Econ & Management, Beijing 100084, Peoples R China
[11] Peking Univ, Natl Sch Dev, Beijing 100871, Peoples R China
基金
中国国家自然科学基金;
关键词
CO2; EMISSIONS; EXPORTS; TRADE; MODEL; IMPACT;
D O I
10.1038/s41597-023-02183-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:25
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