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The future of employment revisited: how model selection affects digitization risks 重新审视就业的未来:模式选择如何影响数字化风险
IF 1.3 4区 经济学 Q2 ECONOMICS Pub Date : 2023-03-26 DOI: 10.1007/s10663-023-09571-2
Hanno Lorenz, F. Stephany, Janis Kluge
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引用次数: 0
Voluntary labour supply by birth cohort: empirical evidence from Germany 按出生队列划分的自愿劳动力供应:来自德国的经验证据
IF 1.3 4区 经济学 Q2 ECONOMICS Pub Date : 2023-03-11 DOI: 10.1007/s10663-023-09573-0
Marcus Dittrich, Bianka Mey
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引用次数: 0
German labor market reform and the rise of Eastern Europe: dissecting their effects on employment 德国劳动力市场改革与东欧崛起:剖析其对就业的影响
IF 1.3 4区 经济学 Q2 ECONOMICS Pub Date : 2023-02-17 DOI: 10.1007/s10663-023-09569-w
T. Walter
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引用次数: 0
Family firms, political connections, and R&D activities in Eastern European Countries 东欧国家的家族企业、政治关系和研发活动
IF 1.3 4区 经济学 Q2 ECONOMICS Pub Date : 2023-02-17 DOI: 10.1007/s10663-023-09568-x
M. Agostino, Cristiana Donati, S. Ruberto
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引用次数: 0
Financial cycles in Europe: dynamics, synchronicity and implications for business cycles and macroeconomic imbalances 欧洲金融周期:商业周期和宏观经济失衡的动态性、同步性及其影响
IF 1.3 4区 经济学 Q2 ECONOMICS Pub Date : 2023-02-06 DOI: 10.1007/s10663-022-09566-5
Amat Adarov
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引用次数: 2
Housing price uncertainty and housing prices in the UK in a time-varying environment 时变环境下英国房价的不确定性与房价
IF 1.3 4区 经济学 Q2 ECONOMICS Pub Date : 2023-01-30 DOI: 10.1007/s10663-023-09567-y
M. Balcılar, G. Uzuner, F. Bekun, M. Wohar
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引用次数: 0
Predictors of TFP growth in European countries 欧洲国家全要素生产率增长预测指标
IF 1.3 4区 经济学 Q2 ECONOMICS Pub Date : 2023-01-02 DOI: 10.1007/s10663-022-09558-5
Janis Kluge, Sarah Lappöhn, K. Plank
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引用次数: 0
Conference on European Economic Integration (CEEI) 2021: Recalibrating tomorrow's global value chains - prospects for CESEE. 2021年欧洲经济一体化会议:重新校准未来的全球价值链——CESEE的前景。
IF 1.3 4区 经济学 Q2 ECONOMICS Pub Date : 2023-01-01 DOI: 10.1007/s10663-022-09565-6
Robert Holzmann, Tomáš Slačík, Julia Wörz
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引用次数: 0
Beyond the Covid-19 pandemic: remote learning and education inequalities. 在Covid-19大流行之外:远程学习和教育不平等。
IF 1.3 4区 经济学 Q2 ECONOMICS Pub Date : 2023-01-01 DOI: 10.1007/s10663-022-09556-7
Luca Bonacini, Marina Murat

Is remote learning associated with education inequalities? We use PISA 2018 data from five European countries-France, Germany, Italy, Spain and the United Kingdom-to investigate whether education outcomes are related to the possession of the resources needed for distance learning. After controlling for a wide set of covariates, fixed effects, different specifications and testing the stability of coefficients, we find that remote learning is positively associated with average education outcomes, but also with strong and significant education inequalities. Our results show that negative gaps are larger where online schooling is more widespread, across countries, locations, and school types. More generally, remote learning inequalities appear to be associated with technological network externalities: they increase as digital education spreads. Policy makers must guarantee to all students and schools the possession of the resources needed for remote learning, but to reach this goal efficiently they must adapt their actions to the characteristics of countries, areas and school systems.

Supplementary information: The online version contains supplementary material available at 10.1007/s10663-022-09556-7.

远程学习与教育不平等有关吗?我们使用来自五个欧洲国家(法国、德国、意大利、西班牙和英国)的2018年PISA数据来调查教育成果是否与远程学习所需资源的占有有关。在控制了大量协变量、固定效应、不同规范和系数稳定性检验后,我们发现远程学习与平均教育成果呈正相关,但也与强烈而显著的教育不平等呈正相关。我们的研究结果表明,在线教育在各个国家、地区和学校类型中越普遍,负差距就越大。更普遍地说,远程学习的不平等似乎与技术网络外部性有关:随着数字教育的普及,这种不平等也在增加。决策者必须保证所有学生和学校拥有远程学习所需的资源,但为了有效地实现这一目标,他们必须根据国家、地区和学校系统的特点调整行动。补充信息:在线版本包含补充资料,可在10.1007/s10663-022-09556-7获得。
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引用次数: 0
Economic and behavioral determinants of forced household savings during the COVID-19 pandemic. COVID-19大流行期间强迫家庭储蓄的经济和行为决定因素。
IF 1.3 4区 经济学 Q2 ECONOMICS Pub Date : 2023-01-01 DOI: 10.1007/s10663-022-09563-8
Jakub Borowski, Krystian Jaworski

This study seeks to identify the determinants of forced household savings in 16 European Union (EU) member states in 2020. We show that the higher the severity of the COVID-19 pandemic in the state, measured by the intensity of government restrictions or the number of COVID-19-related deaths, the higher the level of forced savings. Such savings also increased with gross domestic product per capita and the financial support provided for households and enterprises by the government. Additionally, savings cultures and personality traits that support compliance with pandemic-related restrictions and enhance coping with the hardship of the pandemic had a positive impact on forced savings. Our results show that while common pandemic shock may lead to discrepancies in forced savings in affected countries, their level depends largely on government response in the form of imposed restrictions as well as financial support for households and enterprises. Therefore, strong fiscal support during the pandemic can be likened to sowing the seeds for post-pandemic recovery, as savings accumulated during the pandemic shock may be used to finance the pent-up demand. This, in turn, suggests that fiscal responses during the pandemic may act as a significant driver of post-pandemic business cycle (de)synchronization and inflation differentials among EU member states and, more importantly, euro-area countries.

本研究旨在确定2020年16个欧盟成员国强制家庭储蓄的决定因素。我们表明,以政府限制的强度或与COVID-19相关的死亡人数来衡量,该州COVID-19大流行的严重程度越高,被迫储蓄的水平就越高。这种储蓄也随着人均国内生产总值和政府对家庭和企业的财政支持而增加。此外,有助于遵守与大流行病有关的限制和加强应对大流行病困难的储蓄文化和个性特征对被迫储蓄产生了积极影响。我们的研究结果表明,虽然普遍的大流行冲击可能导致受影响国家的被迫储蓄出现差异,但其水平在很大程度上取决于政府的应对措施,包括实施限制以及对家庭和企业的财政支持。因此,大流行期间的强有力财政支持可被比作为大流行后的复苏播下种子,因为大流行冲击期间积累的储蓄可用于为被压抑的需求提供资金。这反过来表明,大流行期间的财政应对措施可能成为大流行后欧盟成员国(更重要的是欧元区国家)之间商业周期(非)同步和通胀差异的重要驱动因素。
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引用次数: 2
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