Economics at your fingertips  

Assessing total factor productivity across Africa: an empirical investigation

Zhiyang Shen and Vivian Valdmanis ()
Additional contact information
Vivian Valdmanis: Western Michigan Univrsity

Journal of Productivity Analysis, 2022, vol. 58, issue 2, No 8, 239-253

Abstract: Abstract Even though Africa is home to many emerging markets, the attention on African growth might be neglected by economists and scholars due to data unavailability and this segment’s minor impact on the world economy. In this paper, we investigate the evolution of total factor productivity (TFP) growth in selected African countries during 1980–2017. By applying an economic approach, a robust nonparametric approach is used to address heterogeneities in production technologies among African countries. Based on a dynamic conditional reference set with the scenario analysis, the proposed model allows us to improve the approximate production frontier by selecting homogeneous references in terms of economic structures. Furthermore, an additive TFP indicator is applied to identify productivity gains among regions and countries operating in Africa. The results show that the range of annual productivity growth rate in Africa is between 0.73 and 4.29% when convex technology and aggregate directional distance function is applied. The finding also indicates Africa growth is mostly driven by scale efficiency improvement and technological progress.

Keywords: African economics; Conditional reference set; Aggregate directional distance function; Nonparametric estimation; Additive total factor productivity; O11; O47; O55 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) Abstract (text/html)
Access to full text is restricted to subscribers.

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:

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2

DOI: 10.1007/s11123-022-00648-x

Access Statistics for this article

Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski

More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

Page updated 2023-01-08
Handle: RePEc:kap:jproda:v:58:y:2022:i:2:d:10.1007_s11123-022-00648-x