印度尼西亚区域失业的决定因素:空间Durbin模型

Eka Khaerandy Oktafianto, N. Achsani, T. Irawan
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引用次数: 6

摘要

失业是一个在许多国家都存在的问题,经常受到政策制定者和学术界的特别关注。这是因为如果不加以解决,它将在该国造成社会经济问题。因此,有必要通过涉及空间方面来制定失业的原因,以避免有偏见和低效的估计。本研究旨在寻找印度尼西亚失业率的决定因素,包括计算2000-2017年期间使用空间Durbin模型(SDM)的直接和间接影响。本研究的结果表明,总体自变量使用显著影响失业率在印度尼西亚。此外,研究发现,一个地区人口完成的高等教育变量对该地区和邻近地区的失业率下降都有最显著的影响。因此,所采取的政策应注意这一点。
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The Determinant of Regional Unemployment in Indonesia: The Spatial Durbin Models
Unemployment is a problem that occurs in many countries and often gets special attention both from policymakers and academics. This fact is because if not addressed, it will cause socio-economic problems in the country. Therefore it is necessary to formulate the causes of unemployment by involving spatial aspects to avoid biased and inefficient estimates. This study aims to find the determinants of unemployment rates in Indonesia, including calculating the direct and indirect effect of using the spatial Durbin models (SDM) in the period 2000-2017. The results of this study indicate that the overall independent variables used significantly influence the unemployment rate in Indonesia. Besides, it turns out that the higher education variable completed by the population of a region has the most significant impact both in decreasing unemployment in a region and neighboring regions. Therefore, the policy taken should pay attention to this.
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