154
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Export opportunities for Turkey in China under the Belt and Road Initiative: application of a decision support model approach

ORCID Icon
Received 13 Dec 2023, Accepted 18 Jan 2024, Published online: 31 Jan 2024
 

Abstract

Turkey's foreign trade deficit with China has rapidly increased since the 2000s. To reduce the foreign trade deficit with China, Turkey needs to identify and diversify potential commodities to export to China with higher competitiveness. In this aspect, this study identifies potential export opportunities for Turkey in China among the Belt and Road Initiative China-Central Asia-West Asia economic corridor countries to increase Turkey's total export volume and diversification in China. The decision support model with some crucial modifications in accordance with regional practices is implemented to pick the export commodities with the highest export potential value. The results of the modified decision support model indicate that Turkey can have export potential, mostly in textiles, metals, machinery/electrical, and miscellaneous. The export promotion strategies for increasing export diversification and volume in China are recommended for Turkey’s future export strategy.

JEL CLASSIFICATIONS:

Acknowledgement

This study is supported by the Ministry of National Education of the Republic of Turkey (Türkiye).

Disclosure statement

No potential conflict of interest was reported by the author.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 560.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.