Tariff costs embodied in product prices: a dynamic analysis from global value chain perspective
Yuwan Duan,
Ting Ji and
Dongzhou Mei
Economic Systems Research, 2021, vol. 33, issue 1, 88-113
Abstract:
The present study examines a measure, the embodied tariff, which is defined as the sum of all tariffs imposed on intermediate inputs at various stages of productions. It captures the total tariff costs in products in the context of the global value chain. We estimate the embodied tariff for 44 economies and 56 sectors, decompose it by tariff source, and also decompose its temporal changes using structural decomposition analysis. The embodied tariff is more than twice the size of the traditional direct input tariff, indicating a non-negligible value chain effect. This demonstrates an overall declining pattern over time, which reflects a dominating effect of decreasing customs tariffs over increasing international production fragmentation. Since 2011, however, the decline in international production fragmentation has also decreased embodied tariffs. A country’s customs tariff is sizably translated into the embodied tariff of its own products, creating a competitive disadvantage for domestic producers.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/09535314.2020.1769562 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:ecsysr:v:33:y:2021:i:1:p:88-113
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CESR20
DOI: 10.1080/09535314.2020.1769562
Access Statistics for this article
Economic Systems Research is currently edited by Bart Los and Manfred Lenzen
More articles in Economic Systems Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().