Artikel

Descriptive Analysis of Employment In Azerbaijan: Possibilities of the Dutch Disease

This paper conducts a descriptive statistical analysis of employment in Azerbaijan covering the period between 2000 and 2018 to study the effects of the Dutch disease hypothesis. Azerbaijan has been a research subject of the Dutch disease due to the boom in the oil sector since independence from the Soviet Union. This paper bases its analysis on the descriptive statistics of employed persons per sector, its year on year growth dynamics, and cumulative growth rates. The results indicate that there are developments in employment that are in line with the spending effect of the Dutch disease model, as during the given time period, the mining sector did not experience sky-high employment, and manufacturing and agriculture shrank, though services increased their role. Moreover, constructed scatterplot matrix and conducted Pearson-s R correlation analysis shed light on the sectoral relationships among the critical economic variables like real effective exchange rate, oil prices, oil GDP, non-oil GDP, oil exports, and transfers from the sovereign wealth fund (SOFAZ), etc. However, the conclusions should be drawn with a significant extension of caution, as the descriptive investigation is extremely limited in terms of the identification of causal relationships.

Sprache
Englisch

Erschienen in
Journal: Journal of Economic Sciences: Theory & Practice ; ISSN: 2220- 8739 ; Volume: 77 ; Year: 2020 ; Issue: 1 ; Pages: 100– 112- ; Baku: Azerbaijan State University of Economics (UNEC)

Klassifikation
Wirtschaft
Open Economy Macroeconomics
Economic Growth of Open Economies
Resource Booms
Thema
Dutch disease
Azerbaijan economy
sectoral employment
descriptive statistics

Ereignis
Geistige Schöpfung
(wer)
Niftiyev, Ibrahim
Ereignis
Veröffentlichung
(wer)
Azerbaijan State University of Economics (UNEC)
(wo)
Baku
(wann)
2020

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Niftiyev, Ibrahim
  • Azerbaijan State University of Economics (UNEC)

Entstanden

  • 2020

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