Decomposition analysis of economic growth in Afar region, Ethiopia

Getachew Wollie Asmare

Cogent Economics & Finance, 2022, vol. 10, issue 1, 2072555

Abstract: This paper is aimed to decompose, the economic growth of the Afar national regional state of Ethiopia in to labor productivity, employment rate and working age population and to verify whether the positive economic growth registered earlier on the region was a job creation growth or not. To do so, annual time series data ranging from 2010 to 2018 were used and per capita value added as a measure of economic growth was decomposed by using Shapley decomposition analysis technique. The result reveals that changes in output per worker accounted the highest proportion (74.33%) followed by changes in working age population (32.85%) and employment rate (−7.17%) for the total change in per capita value added during the entire period of time. The negative growth changes registered in employment rate implied that the economic growth registered on the Afar national regional state was a jobless growth. The economic growth patterns of Afar region does not favor the agriculture sector where the poor are found. The within-sector takes the lion share contributing (72.67%) to aggregate change in output per worker growth followed by structural change (13.21%) and interaction of within sectors and structural change (14.11%). Finally, these findings navigated us to suggest for policymakers, to amend their sector-wise economic policies and strategies focused to enhance employment generation and labor productivity of the Afar region.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/23322039.2022.2072555 (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: https://EconPapers.repec.org/RePEc:taf:oaefxx:v:10:y:2022:i:1:p:2072555

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/OAEF20

DOI: 10.1080/23322039.2022.2072555

Access Statistics for this article

Cogent Economics & Finance is currently edited by Steve Cook, Caroline Elliott, David McMillan, Duncan Watson and Xibin Zhang

More articles in Cogent Economics & Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().