A. Al-Badawi, S., T. Al-Wasity, R. (2023). AN ECONOMIC ANALYSIS OF THE MOST IMPORTANT VARIABLES AFFECTING AGRICULTURAL EMPLOYMENT IN IRAQ FOR THE PERIOD (1998 - 2019). , 21(1), 224-249. doi: 10.32649/ajas.2023.179764
S. A. Al-Badawi; R. T. Al-Wasity. "AN ECONOMIC ANALYSIS OF THE MOST IMPORTANT VARIABLES AFFECTING AGRICULTURAL EMPLOYMENT IN IRAQ FOR THE PERIOD (1998 - 2019)". , 21, 1, 2023, 224-249. doi: 10.32649/ajas.2023.179764
A. Al-Badawi, S., T. Al-Wasity, R. (2023). 'AN ECONOMIC ANALYSIS OF THE MOST IMPORTANT VARIABLES AFFECTING AGRICULTURAL EMPLOYMENT IN IRAQ FOR THE PERIOD (1998 - 2019)', , 21(1), pp. 224-249. doi: 10.32649/ajas.2023.179764
A. Al-Badawi, S., T. Al-Wasity, R. AN ECONOMIC ANALYSIS OF THE MOST IMPORTANT VARIABLES AFFECTING AGRICULTURAL EMPLOYMENT IN IRAQ FOR THE PERIOD (1998 - 2019). , 2023; 21(1): 224-249. doi: 10.32649/ajas.2023.179764

AN ECONOMIC ANALYSIS OF THE MOST IMPORTANT VARIABLES AFFECTING AGRICULTURAL EMPLOYMENT IN IRAQ FOR THE PERIOD (1998 - 2019)

Anbar Journal of Agricultural Sciences
Volume 21, Issue 1, June 2023, Pages 224-249    PDF (1021.09 K)
Document Type: Research Paper
DOI: 10.32649/ajas.2023.179764
Authors
S. A. Al-Badawi1; R. T. Al-Wasity2
1Planet Protection Dep, Iraqi Ministry of Agric., Baghdad, Iraq
2Coll. of Agric. Engin. Sci. University of Baghdad
Abstract
The research aims to investigate the most important consequences of the economic shocks that Iraq has suffered in the past decades through some agricultural indicators with employment levels in the agricultural sector (agricultural wages, agricultural investment, agricultural output and agricultural mechanization). To discuss the problem during the period 1998-2019 the authors adopted set of methodology based on an important tool in economic studies at present days, which is the analysis of the structural vector autoregression – SVAR model and the subsequent analysis of structural variance decomposition and structural impulse response, in order to investigate the most important shocks to the economy and the impact on the development of indicators and their impact on these shocks among themselves. The research reached several results in this regard, including the most important and strongest variable shock contributed to the development of indicators and their impact on these shocks among themselves. The agricultural wages (the first shock) is the most influencing variable that effect in variance decomposition of agricultural employment, where the shock effect was 82% in the first year and slowly declined to 69.7% at the end of the period, which means the importance of increasing wages in stimulating the offer of work and thus employment in the agricultural sector, and this variable has a permanent and strong impact in the long run.   
Keywords
SVAR; Accumulation impulse respond; Structural variance decomposition
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