ABSTRACT
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.
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Notes
1. The four main types of goods are: food and edible vegetable oil; running water, heating, air-conditioning, hot water, gas, liquefied petroleum gas, natural gas, methane, and coal products for household use; books, newspapers, and magazines; fodder, chemical fertilizer, pesticide, farm machinery, and agricultural film.