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This paper examines the effects of sub-national union coverage on the youth's labor market outcomes.

In the context of the private business sector in Vietnam, this study link individual labor market data with union coverage at provincial level in the period 2013–2016 to investigate the effects of sub-national union coverage on the youth's labor market outcomes. Contingent on the outcome variable, we use the OLS and probit model that control for diverse individual characteristics, year- and industry-fixed effects, and particularly control for selection bias in the labor market.

The empirical results show that the union coverage is positively associated with a wide range of the youth's labor market outcomes, including employment status, wage rate, work hour, and job formality. Also, the coverage is complementary to individual labor contract in determining the youth's wage rate.

Our empirical results indicate positive associations between union coverage and the youth's multi-dimensional labor market outcomes, which contribute to this young age cohort's smooth school-to-work transition, provided that the role of trade union is challenged both in developing and developed countries.

This study provides an in-depth study on the interplay between trade union and the youth's labor market outcomes that contributes to the literature of labor market institutions and youth employment policies in a dynamic transitional economy of Vietnam.

This paper aims to review the experience so far of the Spanish labour market during the Covid-19 crisis in the light of the existing institutions, its performance during past recessions and the policy measures adopted during the pandemic. Emphasis is placed on the role of worldwide trends in labour markets because of automation and artificial intelligence, in shaping a potential recovery of this (hopefully) transitory shock through a big reallocation process of employment and economic activity. It also highlights some innovations to employment and social policies needed to smooth the reallocation process and lessen the rise in inequality associated to technological trends.

Theory and empirics.

The Spanish labour market will subject to a great reallocation shock as a result of Covid-19 and secular technological changes. Reforms need to be undertaken.

An overview and some new results.

The paper seeks to disclose the features and implications of the neoliberal VET and employment policy agendas for the social and institutional VET ecosystems and the integration of at-risk youth in the labour market in the Baltic countries.

The research is based on the comparative policy analysis approach with reference to the theories of social and skill formation ecosystems and the historical institutionalism perspective.

The research has revealed three interconnected and alternately/simultaneously applied development pathways in the skill formation and vocational education of at-risk youth in the Baltic countries: (1) the market-oriented approach based on fostering immediate employability based on the momentary skills needs in the economy; (2) the state-assistance approach based on ensuring equal access to the VET and employment services by the state and (3) the approach of systemic support to socially disadvantaged or at-risk young people in developing their capabilities.

The originality of the paper lies in a new, holistic and comparative perspective in analysing the implications of the “Baltic neoliberalism” for the development of skill formation systems, VET and employment of at-risk youth in this region.

Ongoing automation processes may render a fair share of the existing jobs redundant or change their nature. This begs the question to what extent employees affected invest in training in order to strengthen their labour market position in times of uncertainty. Given the different national labour market regimes and institutions, there may be an important geographical dimension to the opportunities to cope with the challenges set by automation. The purpose of this study is to address both issues.

Using data from the 2016 European labour Force Survey, the authors estimate with logit and multi-level regression analyses how the automation risk of a worker's job is associated with the propensity of following non-formal education/training. The authors allow this relationship to vary across European countries.

The results show that employees in jobs vulnerable to automation invest relatively little in training. Also, there are significant differences across Europe in both the provision of training in general and the effect of automation on training provision.

While there is quite a lot of research on the structural labour market effects of automation, relatively little is known about the actions that employees take to deal with the uncertainty they are faced with. This article aims to contribute to our understanding of such mechanisms underlying the structural macro-level labour-market dynamics.

According to Sen's theoretical framework of capability (1985), individuals reach their full potential once they have the freedom, intended as the set of functionings at their disposal, to do so. However, many critiques have been developed against the lack of embeddedness of the capability approach in social and political relations and structures. In this article, the authors investigate the influence of three institutional contexts (Belgium, the Netherlands and France) on the respective work-related functionings of self-employed and regular workers, with a focus on human capital investment and institutional support offered to them.

Data from the European Working Conditions Survey (EWCS) are used to highlight similarities and differences in building work-related functionings for regular and self-employed workers. A regression analysis is provided at the country level.

In the three labour markets, the authors find that the building of work-related functionings is more successful for regular employees, especially as regards institutional support. Self-employed workers, on the other hand, need to rely on their individual capability as regards employment protection and human capital investment. However, the authors find interesting differences between the three institutional contexts. In both Belgium and France, self-employed workers are subject to higher instability in terms of changes in salary and hours worked, whereas atypical work is better positioned in the Dutch labour market. The Netherlands is also characterised by a less significant gap between regular and self-employed workers with respect to participation in training.

In this article, the authors contextualise Sen's (1985) theoretical framework by taking into account the institutional differences of labour markets. In particular, the authors provide a novel application of his capability approach to regular and self-employed workers in an economically relevant European area.

This paper aims to study the type of short-time work (STW) schemes implemented in Spain to preserve jobs and workers’ incomes during the COVID-19 crisis and the corresponding labour market outcomes.

A dynamic macroeconomic model of job creation and destruction of the search and matching type in a dual labour market.

The model shows that the availability of STW schemes does not necessarily prevent a large increase in unemployment and job destruction. The quantitative effects depend on the degree of subsidization of payroll taxes and on the design of the policy. A scenario with a moderate degree of subsidization and where the subsidy is independent of the reduction in hours worked is the least harmful for both welfare and fiscal deficit. The cost of such a strategy is a higher unemployment rate. Concerning heterogeneous effects, the unemployed are the ones who experience the strongest distributional changes.

The effectiveness of STW schemes in dual labour markets using a search and matching model in the context of the COVID-19 crisis has not been analysed elsewhere. The literature has emphasized the importance of dynamics, labour market institutions and workers’ heterogeneity to understand workforce adjustment decisions in the face of temporary shocks to de- mand especially when firms’ human capital is relevant. These elements are present in the model. In addition, this paper computes welfare and distributional effects and the cost of these policies.

Drawing upon a political economy approach, this article aims to analyze the transformations in the labor market within the context of contemporary capitalism, focusing on the phenomenon of financialization.

Financialization is defined as a distinct wealth pattern marked by a growing proportion of financial assets in capitalist wealth. Within financial markets, corporate performance is continuously assessed, in a process that disciplines management to achieve expected financial results, with consequences throughout corporate management.

We find that this phenomenon has implications for labor management, resulting in the intensification of labor processes and the adoption of insecure forms of employment, leading to the fractalization of work. These two mechanisms, added to the indebtedness of workers, constitute three elements for disciplining labor in contemporary capitalism.

We argue that these forms of discipline constitute a subsumption of labor to finance, resulting in an increase in labor exploitation. This formulation of the relationship between financialization and changes in the realm of labor also contributes to understanding the unrealizing potential of social free time in contemporary capitalism.

The study investigates the influence of ChatGPT on the labor market dynamics, aiming to provide a structured understanding of the changes induced by generative AI technologies.

An analysis of existing literature serves as the foundation for understanding the impact, while the supply and demand model helps assess the effects of ChatGPT. A text-mining approach is utilized to analyze the International Standard Occupation Classification, identifying occupations most susceptible to disruption by ChatGPT.

The study reveals that 32.8% of occupations could be fully impacted by ChatGPT, while 36.5% might experience a partial impact and 30.7% are likely to remain unaffected.

While this study offers insights into the potential influence of ChatGPT and other generative AI services on the labor market, it is essential to note that these findings represent potential implications rather than realized labor market effects. Further research is needed to track actual changes in employment patterns and job market dynamics where these AI services are widely adopted.

This paper contributes to the field by systematically categorizing the level of impact on different occupations, providing a nuanced perspective on the short- and long-term implications of ChatGPT and similar generative AI services on the labor market.

With a focus on the position of EU mobile workers in the Dutch meat industry, this article discusses the multi-level State efforts to enhance protection of workers who experienced limited protection of existing State and private enforcement institutions. The COVID-19 pandemic, with virus outbreaks at Dutch meat plants, fuelled public and political will to structurally improve these workers' precarious work and living conditions. Yet, the process of policy change is slow. The authors show it is the gradual transformation in the institutional environment that the State needs to counter to become more protective for EU mobile workers.

Using the gradual institutional change approach and the concept of State ignorance, the authors examine State responses drawing on interviews with expert stakeholders in the public and private domain, public administration records and newspaper articles.

Through knowledge creation, boosted social dialogue mechanisms, enhanced enforcement capacity and new housing legislation, the Dutch State focuses on countering gradual institutional change through which existing institutions lost their effectiveness as protectors of EU mobile workers. The organization of work is, nevertheless, not (yet) fundamentally addressed with tighter public legislation.

The findings contribute to a more nuanced understanding of the role of the State as multifaceted actor in institutional change processes towards increased protection for EU mobile workers.

The purpose of this paper is to offer a critical examination of industrial relations in Denmark.

The approach is based upon available data and a mixture of Marxist theory and systems theory. The theoretical position is discussed in relation to the academic discourses on the main characteristics of Danish industrial relations and provides a review of the foundation and historical development of the Danish system.

From this basis, it is analysed how the stagnation or decline has taken place in recent years regarding representation of workers’ interest as well as the ability of the Danish system to maintain its key importance when challenged by decentralisation, decreasing union affiliation rates, cuts in unemployment insurance and social dumping due to labour migration.

It is an original paper which offers a critical analysis of the institutional decline and increasing inequality that are the result of the liberalist political-economic hegemony.