The regional evolution of job insecurity during the first COVID-19 wave in relation to the pandemic intensity.

IF 1.8 Q2 GEOGRAPHY
Bogdan-Constantin Ibanescu, Mioara Cristea, Alexandra Gheorghiu, Gabriela Carmen Pascariu
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引用次数: 0

Abstract

As the COVID-19 pandemic hit the European continent at the beginning of 2020, one of the most significant socio-economic effects that immediately become the central focus of media and governing bodies was the unemployment and the sudden transformations suffered by the job market. This effect created major concerns for citizens and governing structures, as the pandemic generated a new and unparalleled economic context, where the short and medium-term future of several sectors seemed unpredictable. The concern acted upon the job insecurity of individuals, a perceived threat to the continuity and stability of their employment. Based on a self-reported survey covering the first pandemic wave, our study classifies the regions (NUTS2 level) from six EU countries according to their performance in terms of job insecurity, but also the shock intensity (death rates and case fatality ratio), and identifies the overall over and under performers. The results show that the regional evolution of the job insecurity could be linked to the pandemic evolution, especially in the stronger economies. However, the model does not follow a classic economic core-periphery pattern. The model is challenged especially by a stronger performance of several less performant regions from Italy, Romania, or France.

Supplementary information: The online version contains supplementary material available at 10.1007/s12076-023-00337-9.

Abstract Image

Abstract Image

第一波COVID-19期间工作不安全感的区域演变与大流行强度的关系
随着2019冠状病毒病大流行在2020年初袭击欧洲大陆,失业和就业市场的突然转变立即成为媒体和理事机构关注的最重大的社会经济影响之一。这种影响引起了公民和治理结构的重大关切,因为大流行病造成了前所未有的新经济环境,其中几个部门的短期和中期前景似乎不可预测。这种关注是针对个人的工作不安全,这是对其就业的连续性和稳定性的一种明显威胁。基于覆盖第一波大流行的自我报告调查,我们的研究根据六个欧盟国家在工作不安全感方面的表现,以及冲击强度(死亡率和病死率),对这些地区(NUTS2级别)进行了分类,并确定了总体表现优差者。结果表明,工作不安全感的区域演变可能与大流行的演变有关,特别是在较强的经济体中。然而,该模型并不遵循经典的经济核心-边缘模式。该模型尤其受到意大利、罗马尼亚或法国等几个表现较差地区的强劲表现的挑战。补充信息:在线版本包含补充资料,可在10.1007/s12076-023-00337-9获得。
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来源期刊
CiteScore
2.30
自引率
11.10%
发文量
30
期刊介绍: Letters in Spatial and Resource Sciences (LSRS) publishes high-quality, shorter papers on new theoretical or empirical results and on models and methods in the social sciences that contain a spatial dimension. Coverage includes environmental and resource economics, regional and urban economics, spatial econometrics, regional science, geography, demography, agricultural economics, GIS and city and regional planning. Examples of topics include, but are not limited to, environmental damage, urbanization, resource allocation, spatial-temporal data use, regional economic development and the application of existing and new methodologies.LSRS contributes to the communication of theories and methodologies across disciplinary borders. It offers quick dissemination and easy accessibility of new results. Officially cited as: Lett Spat Resour Sci
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