What Can Be Learned from Billions of Invoices? The Construction and Application of China's Multiregional Input-Output Table Based on Big Data from the Value-Added Tax

被引：2

作者：

Gao, Yuning ^{[1
]}

Li, Meng ^{[1
]}

Lu, Yufeng ^{[1
]}

机构：

[1] Tsinghua Univ, Sch Publ Policy & Management, Beijing 100084, Peoples R China

来源：

EMERGING MARKETS FINANCE AND TRADE | 2020年 / 56卷 / 09期

基金：

中国国家自然科学基金;

关键词：

big data; supply-side economy; value-added tax; ALTERNATIVE METHODS; CHALLENGES; TRADE;

D O I：

10.1080/1540496X.2019.1684254

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

The big data on the value-added tax (VAT), which links upstream production and downstream consumption, can serve as a key basis for a structured macroeconomic analysis. This paper discusses the construction and aggregation method of the transaction matrix between enterprises based on this data and develops a multiregional input-output (MRIO) table. The intraregional structure of this table is consistent with the IO table in China's national statistics and includes more detail on the domestic value chain. We use big data on the VAT in creating an analytical tool to track profit shifting and tax avoidance. Therefore, this new MRIO table can coordinate consumption-based measures with the "destination principle" in international VAT statistics.

引用

页码：1925 / 1941

页数：17