Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

Relations between Statistical Capacity and Trade: Evidence from the Trade between China and Countries along the “Belt and Road”

Authors
Xiaoze Shao1, *
1School of Economics and Management, Beijing Jiaotong University, Beijing, China
*Corresponding author. Email: 20120552@bjtu.edu.com
Corresponding Author
Xiaoze Shao
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_61How to use a DOI?
Keywords
“One Belt, One Road”; Transportation equipment; Expansion gravity model; Export potential; International trade
Abstract

With the promotion of trade liberalization and the development of the Internet, more and more enterprises are doing business and investing in the countries and regions along the "Belt and Road". This paper estimated an augmented gravity model of trade that specifically includes statistical capacity indicators as explanatory variable and measures the potential of China's iron and steel exports to the countries and regions along the “Belt and Road”. The model was estimated by using bilateral exports from 63 countries and regions along the “Belt and Road” with data for the period 2013–2020 with the Poisson pseudo-maximum likelihood (PPML) method. Study found that the effect of the methodology assessment of statistical capacity and the source data assessment of statistical capacity on exports was positive and significant. The effect of the periodicity and timeliness assessment of statistical capacity was negative and significant. The effect of improving the number of tariff lines in the national nomenclature, the rate of common spoken language and the average of all Ad valorem duties were positive and significant.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-102-9_61
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_61How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Xiaoze Shao
PY  - 2022
DA  - 2022/12/29
TI  - Relations between Statistical Capacity and Trade: Evidence from the Trade between China and Countries along the “Belt and Road”
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 588
EP  - 596
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_61
DO  - 10.2991/978-94-6463-102-9_61
ID  - Shao2022
ER  -