An inquiry into the regional unemployment disparities in Tunisia: a spatial Durbin model

Pub Date : 2021-07-03 DOI:10.1080/17938120.2021.1958559
Khaled Jeguirim
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Abstract

ABSTRACT This study uses a spatial Durbin model in identifying possible causes of the overdispersion into regional unemployment in Tunisia. Data properties were identified using exploratory spatial data analysis which indicates significant neighbouring effects for several variables. Differences in socio-economic structure between regions explain in part these phenomena. Education is a key factor and also some constraints prevent married women from taking up jobs, thus exacerbating regional unemployment. Regions with important tourism activity do well than others. Tourism sector exhibit important spillover effects on regional unemployment while the impact of agricultural activity is confined to local labour market. The diversification of the industrial fabric at a regional level is not a sine qua non for differences reduction in regional unemployment rates. Developing road infrastructure helps to reduce unemployment disparities.
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对突尼斯地区失业差异的调查:空间德宾模型
摘要:本研究使用空间德宾模型来识别突尼斯地区失业过度分散的可能原因。使用探索性空间数据分析确定数据属性,这表明几个变量的显着邻近效应。区域间社会经济结构的差异部分解释了这些现象。教育是一个关键因素,还有一些限制因素阻碍已婚妇女就业,从而加剧了区域失业。具有重要旅游活动的地区比其他地区表现更好。旅游业对区域失业表现出重要的溢出效应,而农业活动的影响仅限于当地劳动力市场。区域一级工业结构的多样化并不是降低区域失业率的必要条件。发展道路基础设施有助于缩小失业差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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