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Quarterly Journal of Econometrics Research

June 2021, Volume 7, 1, pp 13-30

Econometric Analysis of Dutch Disease Implication of China-Africa Trade

Tirimisiyu F. Oloko

,

Muritala O. Ogunsiji

,

Musefiu A. Adeleke

Tirimisiyu F. Oloko 1

Muritala O. Ogunsiji 2
Musefiu A. Adeleke 3

  1. Centre for Econometric and Allied Research, University of Ibadan, Ibadan, Nigeria; Department of Economics, University of Ibadan, Ibadan, Nigeria. 1

  2. Department of Economics, Fountain University, Osogbo, Nigeria. 2

  3. Department of Economics, University of Ibadan, Ibadan, Nigeria. 3

Pages: 13-30

DOI: 10.18488/journal.88.2021.71.13.30

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Article History:

Received: 22 June, 2021
Revised: 26 July, 2021
Accepted: 18 August, 2021
Published: 13 September, 2021


Abstract:

This study revisits the analysis of the Dutch disease implication of China-Africa trade for Africa’s non-mineral resources sectors; specifically, manufacturing and agricultural sectors, while focusing on the trade relationship between China and 27 African countries for the period of 19years, 2001 to 2019. This prompted an econometric analysis with the use of two-step dynamic (difference and system) panel Generalized Method of Moment (GMM) models, which was also complemented with dynamic least squares panel econometric regression. The preliminary analysis revealed that Ethiopia is the largest African trading partner with China, with an average of about 21percent China-Ethiopia trade ratio, while Botswana has the least trade relation with China, with 1.5percent Botswana-China trade ratio. The result of our econometric analyses suggests that higher China-Africa trade has the potential to reduce Africa’s manufacturing value-added. In other words, China-Africa trade is not causing Dutch disease in Africa but has the potential to cause Dutch disease in the future. Furthermore, the result suggests that higher China-Africa trade has the potential to increase Africa’s agricultural sector productivity. This implies that China-Africa trade has no tendency of causing Dutch disease in the agricultural sector. Our results are robust to different data structures for the dynamic GMM model.
Contribution/ Originality
This study is one of the very few studies which have investigated the Dutch disease implication of China-Africa trade for African countries. It focused on sectoral growth rather than the aggregate growth of the economy and also employed two-step dynamic (difference and system) panel Generalized Method of Moment (GMM) models.

Keywords:

China-Africa trade, Dutch disease, Dynamic GMM models, Manufacturing sector, Agricultural sector, Africa.

Reference:


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Funding:

This study received no specific financial support.

Competing Interests:

The authors declare that they have no competing interests.

Acknowledgement:

All authors contributed equally to the conception and design of the study.

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