An Empirical Analysis of Economic Complexity and Commodity Dependence
Sofia Dominguez,
Cosimo Frontera () and
Clovis Freire
Additional contact information
Sofia Dominguez: UNCTAD
Cosimo Frontera: UNCTAD
Clovis Freire: UNCTAD
Chapter Chapter 2 in Proceedings of the Global Conference on Economic Diversification 2024, 2026, pp 21-41 from Springer
Abstract:
Abstract This paper explores the relationship between economic complexity and commodity dependence, employing a fixed effects model with a sample of 184 countries from 1995 to 2019. The results show that as countries increase their economic complexity, they reduce their dependence on commodity exports. This result holds across all countries with different ranges of commodity dependence and remains significant to a series of robustness checks. The results highlight the importance of fostering technological capabilities and a diversified industrial base that allows for producing more complex products, which would help mitigate the adverse effects of commodity dependence. The paper recommends that governments prioritize value addition and strategic export diversification to enhance economic complexity and support sustainable growth in commodity-dependent developing countries.
Keywords: Economic complexity; Export diversification; Commodity dependence; Development (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:prbchp:978-981-95-2022-0_2
Ordering information: This item can be ordered from
http://www.springer.com/9789819520220
DOI: 10.1007/978-981-95-2022-0_2
Access Statistics for this chapter
More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().