Youth Unemployment: Key Determinants and the Impact of Crises

Bruno, G.; Choudhry, Misbah Tanveer; Marelli, Enrico; Signorelli, Marcello

doi:10.1007/978-3-319-04376-0_7

Cited by 7 publications

(6 citation statements)

References 22 publications

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“…Enrico Marelli has worked with Marcello Signorelli, Elena Vakulenko, Misbah Choudhry Tanveer Giovanni S. F. Bruno, Misbah Tanveer Choudhry and Olga Demidova (refer to Figure 2). They have worked together on key determinants (Bruno et al , 2014; Demidova and Signorelli, 2012; Marelli et al , 2013), impact (Bruno et al , 2014) and trends (Marelli et al , 2013) of youth unemployment as well as youth labour market performance (Perugini and Signorelli, 2010). The key explored determinants that can have a significant impact on youth unemployment were regional economic advances, state demographics, across-state relocation, household conditions, regional openness and export/imports (Demidova and Signorelli, 2012).…”

Section: Results and Findingsmentioning

confidence: 99%

A bibliometric study of reference literature on youth unemployment

Ralph

Arora

2022

JEC

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Purpose This study aims to investigate the global issues of youth unemployment using bibliometric analysis covering the period from 1983 to 2022. There is a dearth of a bibliometric study analysis on unemployment, particularly youth unemployment even at the global level. The present study seeks to fill this gap by exploring the prominent studies related to youth unemployment at the global level. Design/methodology/approach Using VOSviewer software bibliometric results and the Scopus database, the study uncovered the most frequently cited, prominent and influential authors, as well as the institutions that have worked on youth unemployment and the most prominent keywords published on youth unemployment. Findings Nearly 80% of the research articles on youth unemployment were published from 2005 to 2022, and a significant increase in publication after 2012 is observed. Based on the published papers, the most studied determinants of youth unemployment are increased levels of regional economic advances, state demographics, relocation, household conditions, regional openness and export/import. Economic freedom, labour market reforms, economic growth, high proportion of part-time employment, active labour market policies, minimum wage norms, extent of bargaining scope and alignment are prominent determinants that reduce unemployment at large and improve labour market performance of youth in particular. Research limitations/implications Bibliometric analysis, like the present study, can narrow down the most prominent sources of information on youth unemployment for beginners in this field of research. Practical implications This bibliometric study on youth employment assists researchers and policymakers in understanding and summarizing the necessary determinants of youth employment that are already being identified and studied based on practical evidence from the authors’ case study-based research work. The present study raises the issue of youth unemployment at large. It helps in identifying factors in one place and thus new researchers can use it as a starting point for their research on youth unemployment. It helps in providing clustering of factors. It highlighted the significant studies, authors and institutions working in this field. Social implications On social implication, it can be argued that studies on topics related to human resources have a direct impact on society standards. By producing scientific knowledge that aids in the recognition of the complexities of human processes and behaviours, social science research significantly contributes to the enrichment of the community as a whole. When young people are unemployed, it causes social unrest and may increase crime and terrorism, all of which contribute to political instability. Youth unemployment causes psychological illness because of anxiety, alienation and depression. As a result, it causes social instability and necessitates immediate attention in all societies. The present study highlights that although the unemployment rate of youth is significantly higher in underdeveloped countries than the developed countries, their representation in the publication is significantly low. This under-representation of countries shows their lack of commitment to society in working on the issue of youth unemployment. Originality/value It is assumed that there are plenty of research studies on unemployment, particularly at the global level. However, various domains of researchers may require a bibliometric kind of analysis wherein they may get an idea about the prominent number of literatures arguing concerning issues at large, in the sense of “focused studies” covering the comprehensive viewpoint on youth unemployment. The paper aimed to emphasize the topic of youth unemployment, its development in the research field and the usefulness of bibliometric analysis in social sciences in general, and youth unemployment in particular.

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Section: Results and Findingsmentioning

confidence: 99%

A bibliometric study of reference literature on youth unemployment

Ralph

Arora

2022

JEC

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“…The YUR is, in most countries, twice or three times as high as the total unemployment rate (UR), and this was also the case before the crisis (Bruno et al 2014a;. The NEET group -young people not in employment, education or training -is even a greater problem for society since it leads to the risk of a 'lost generation'.…”

Section: Part IImentioning

confidence: 99%

Youth and the Crisis

Coppola¹,

O’Higgins²

2015

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“…The authors address the joint impact of labor market policy and economic recession on unemployment in Europe [15]. The position of young people on regional labor markets appears of interest as well [16] [17]. The authors highlight the importance of finding out the causes of interregional unemployment rate differences [3] [5].…”

Section: Introductionmentioning

confidence: 99%

Factors and Determinants of Interregional Unemployment Rate Differences in Rural Russia

Blinova¹,

Bylina²,

Rusanovsky³

2016

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This study involves an econometric assessment of the impact that macroeconomic, institutional, structural, demographic and social variables produce on the rate of and interregional differences in rural unemployment. We classify the regions of Russia by the rate of overall and rural unemployment and characterize the groups of regions we have selected according to key parameters of the labor market and features of regional development. Employing a regression analysis, this paper focuses on the factors of regional unemployment in the subjects of Russian Federation. When making our regression models, stepwise regression methods were used. Evaluating the regression models that include demographic, economic and social factors, we identify the determinants of rural unemployment. The regression analysis was carried out for both the Russian Federation as a whole and each of the typological groups individually. We find that such factors like a big share of young people in the structure of the rural population and a low level of education of rural residents do contribute to the growth of rural unemployment. At the same time, higher employment, diversification of the rural economy through promoting non-agricultural employment, and higher levels of vocational education among rural residents cause the rate of rural unemployment to fall.

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Youth Unemployment: Key Determinants and the Impact of Crises

Cited by 7 publications

References 22 publications

A bibliometric study of reference literature on youth unemployment

A bibliometric study of reference literature on youth unemployment

Youth and the Crisis

Factors and Determinants of Interregional Unemployment Rate Differences in Rural Russia

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