Coping With Uncertainty in the Turkish Labor Market: Exploring the Potential of the Danish Flexicurity Model for Reskilling and Upskilling

Coping With Uncertainty in the Turkish Labor Market: Exploring the Potential of the Danish Flexicurity Model for Reskilling and Upskilling

Özge Kozal, Hakan İnke
Copyright: © 2024 |Pages: 25
DOI: 10.4018/979-8-3693-3669-4.ch005
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Abstract

This chapter addresses three pivotal questions: 1) Why prioritize upskilling and reskilling within the Turkish workforce, given evolving opportunities and challenges? 2) To what extent are qualifications conducive to a seamless transition, considering emerging opportunities and challenges? 3) Can the Danish Flexicurity Model be applied for upskilling and reskilling initiatives in Turkey? By addressing these questions, this study evaluates the necessity for upskilling and reskilling, assesses qualification readiness, explores the applicability of the Danish Flexicurity Model, and proposes strategies for enhancement. The broader finding of the study is that due to structural problems, such as a weaker welfare state and chronic unemployment in the Turkish labor market, it is not possible to adopt Danish flexicurity for technological advancement in Turkey. Additionally, in terms of the main skills required for technological advancement, Turkey lags far behind the OECD average and Denmark in areas such as math, science, and reading.
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Introduction

In the contemporary and dynamic global landscape, the world economy finds itself at a critical crossroads, where the convergence of rapid technological progress and pressing global crises has reached a pivotal point. The rapid advancement of technology has transformed all economic, social, and cultural dynamics worldwide, and this trend is likely to continue reshaping our future. Simultaneously, the world faces multidimensional challenges, including climate change, health crises, and economic downturns. These crisis and challenges necessitate proactive measures, strategic planning, and collaborative efforts across various economic actors to address and be prepared for uncertainty effectively.

Understanding all the consequences of technological advancement is quite a complex issue, requiring collaborative efforts from various disciplines, ranging from natural sciences to social sciences. From the social sciences perspective, technological advancements influence modes of production, types of accumulation processes, and consumption patterns. As we examine technological advances, it can easily be said that the most significant impact on the labor market has been observed from the first industrial revolution until today. The widespread use of machines, gradually replacing an increasing amount of human muscle power, has played a pivotal role in this evolution. Currently, there is much discussion regarding the possibility that technologically more complex machines and robots may eventually replace human labor. It can be stated that there is the transformative impact of technological advancements especially in terms of industrial robots, which are revolutionizing production processes and reshaping traditional job roles, must be carefully navigated (Acemoglu & Restrepo, 2020). There is an emerging literature on whether industrial robots can increase employment and wages by creating new occupation opportunities or can decrease employment and wages by creating a substitution effect between labor and robots especially for low and medium skills jobs (Goos et al., 2014; Wang et al, 2022; Li, 2022), which defined as a skill polarization by Michaels (et al., 2014). While the effects of robots on labor markets remain unclear, it is evident that labor markets need restructuring in line with the new needs created by technological advancements, especially within reskilling and upskilling the workforce. According to the Future of Jobs Report (2023) published by the World Economic Forum, approximately 50% of employees will require reskilling by 2025 as technology adoption continues to rise. Additionally, nearly 100 million jobs are projected to emerge by 2025, better suited to the evolving division of labor between humans, machines, and algorithms. In this respect, reskilling and upskilling of the workforce are crucial to creating resilient economies and inclusive growth strategies for all countries.

Yet, another question has come to the agenda: What kind of reskilling and upskilling is needed? Is it enough to reskill and upskill the workforce based on technological requirements? The answer is probably no. As mentioned before, on the other hand, the consequences of climate crises and the imperative of transitioning to a low-carbon economy present additional challenges that must be promptly addressed. The emergence of green technologies and green jobs offers potential avenues for economic and social advancement. The effort to transition to an environmentally sustainable economy will also bring about significant changes in the job market. The transition towards green technologies will bring about various shifts in the job market. This encompasses the emergence of new green jobs and industries, along with adjustments in existing roles, requiring the acquisition of fresh skills and practices. Additionally, there will be a reduction in jobs linked to carbon-intensive activities. While the positive impacts on employment and economies are eagerly anticipated in this green transition, it's crucial to acknowledge that there may also be adverse effects on specific jobs and employment (Sharpe & Martinez-Fernandez, 2021). In these circumstances, there is an urgent need to think and act about the opportunities and challenges in the 21st-century world economy. Considering these two critical forces, it becomes crucial to adopt a comprehensive and interdisciplinary approach that aligns the transformative potential of technology with the imperatives of crisis response. This necessitates a deep understanding of the interplay between technological advancements and global crises, allowing for the identification of synergistic solutions that address economic, social, and environmental concerns.

Key Terms in this Chapter

Danish Flexicurity Model: A model that combines flexibility and security in the labor market, providing employers with the flexibility to manage the workforce and ensuring security for employees in the case of unemployment.

Active Labor Market Policies: This refers to policies and measures aimed at effectively guiding the labor market, focusing on goals such as combating unemployment, enhancing flexibility in the labor market, developing skills, and promoting employment.

Flexinsecurity: A term used by authors to denote the lack of security among employees due to structural problems in the Turkish labor market, despite the advantages stemming from flexibility in the labor market, in contrast to the Danish flexicurity model.

Technological Advancement: This refers to the ongoing progress and development of technology, encompassing innovations, improvements, and the integration of new capabilities into various aspects of society, industry, and daily life.

Eco-Literacy: This refers to encompass an understanding and concern for the environment and its related issues, coupled with the acquisition of knowledge, skills, and motivations to actively address existing problems and prevent the emergence of new ones.

Upskilling: A process of enhancing an employee's existing skill set, typically undertaken to perform current tasks more effectively or to prepare for future responsibilities.

Generous Welfare System: refers to an extensive social support and security framework provided by a country or government, typically encompassing various benefits such as healthcare, unemployment insurance, retirement pensions, and educational assistance for its citizens.

Reskilling: A process of updating or modifying an employee's current skill set to align with new demands typically arising from changes in job roles, industry shifts, or technological advancements.

Employee Skills: This refers to the abilities, knowledge, and experiences that a worker possesses, often assessed by employers to determine their suitability for a particular job or role.

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