Jobless Growth in Nigeria: Determining Employment Intensive Sectors

E. Dada
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引用次数: 4

Abstract

Growth rates in many African countries for over a decade, between 2002 and 2014 were relatively good and greatly applauded; however, high unemployment remains a persistent challenge of macroeconomic management. This situation now popularly called jobless growth, remains an important issue for policy makers, because it is linked with poverty and social unrests. The study therefore examines employment and sectoral output growth in Nigeria with a view to identifying sectors with high employment intensity. The Structural Vector Auto-Regressive (SVAR) framework was employed in the estimation strategy. Background analysis and stylized facts confirm the existence of jobless growth in Nigeria. Findings from the model estimation demonstrate that the agriculture sector has great potential for job creation. This underscores the need to focus on developing the sector and focussing on agriculture led economy that is able to diversify into other sectors that are by nature labour intensive, thus, making growth more inclusive.
尼日利亚的失业增长:决定就业密集型行业
在2002年至2014年的十多年间,许多非洲国家的经济增长率相对较高,备受赞誉;然而,高失业率仍然是宏观经济管理的一个持续挑战。这种情况现在被普遍称为失业增长,对决策者来说仍然是一个重要问题,因为它与贫困和社会动荡有关。因此,这项研究审查了尼日利亚的就业和部门产出增长,以期确定就业强度高的部门。估计策略采用结构向量自回归(SVAR)框架。背景分析和程式化的事实证实了尼日利亚存在失业增长。模型估计的结果表明,农业部门具有创造就业机会的巨大潜力。这突出表明,有必要重点发展该部门,并将重点放在农业主导的经济上,使其能够向其他本质上属于劳动密集型的部门多样化,从而使增长更具包容性。
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