The Export Patterns of the Chinese Office Equipment Manufacturing Industry Using Trade Data of 1984-2019

Yu Hong, Na Li, Lin Zhang, Ting Liu

2022

Abstract

This paper used annual trade data of China’s office equipment from 1984 to 2019, and analyzed the export pattern of office equipment. RSCAX index is used to analyze the comparative advantage of China’s office equipment export, NX index is used to judge the net export ratio of office equipment, and HX index is used to judge the government intervention of China’s office equipment industry. The study found that the comparative advantage of China’s office equipment remained roughly balanced during the sample period, while the government imposed import restrictions. Although it maintains a trade surplus, its international competitiveness is still weak.

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Paper Citation


in Harvard Style

Hong Y., Li N., Zhang L. and Liu T. (2022). The Export Patterns of the Chinese Office Equipment Manufacturing Industry Using Trade Data of 1984-2019. In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 126-130. DOI: 10.5220/0011731500003607


in Bibtex Style

@conference{icpdi22,
author={Yu Hong and Na Li and Lin Zhang and Ting Liu},
title={The Export Patterns of the Chinese Office Equipment Manufacturing Industry Using Trade Data of 1984-2019},
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI},
year={2022},
pages={126-130},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011731500003607},
isbn={978-989-758-620-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI
TI - The Export Patterns of the Chinese Office Equipment Manufacturing Industry Using Trade Data of 1984-2019
SN - 978-989-758-620-0
AU - Hong Y.
AU - Li N.
AU - Zhang L.
AU - Liu T.
PY - 2022
SP - 126
EP - 130
DO - 10.5220/0011731500003607
PB - SciTePress