Labour Productivity Analysis of Manufacturing Sector in Turkey Against Eu

Balkan, Dursun; Akyüz, Göknur Arzu

doi:10.3846/jbem.2023.19059

“…As Bloom et al (2023) reported, the COVID-19 pandemic generally led economies to decline, negatively affecting living standards, public finances and productivity. Balkan & Akyuz (2023) recall the intense deterioration and identify the decline in economic growth and increasing budget deficits of cou ntries as reasons for this. For example, according to an international study, the pandemic, in the context of disrupting the continuity of economic processes, had a significantly negative impact on productivity and labour costs -the cumulative global economic loss amounted to roughly $10.4 trillion in 2020-2022, of which the economic losses of the EU, the US and China amounted to 30.44%, 18.74% and 15.44%, respectively (Cui et al, 2023).…”

Section: Entrepreneurship and Sustainability Issuesmentioning

confidence: 99%

Integral analysis of selected labour market indicators in the context of a Covid-19 pandemic

Húževka,

Masárová,

Navickas

2024

JESI

0

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Individual indicators linked to labour market developments during the COVID-19 pandemic provide a view of a particular area but fail to capture the issue of the impact of the crisis comprehensively. This problem can be addressed by integrating them using multicriteria methods, resulting in a synthetic indicator of a specific labour market. Thus, the issue of the impact of the pa ndemic on important macroeconomic and labour market indicators can be evaluated by calculating a single indicator. The main objecti ve of this study is to identify the labour market with the highest positive flexibility in relation to the impacts of the pandemic and thus reveal the critical factor that fundamentally reduces the resistance of the labour market to negative pandemic externalities. During the first wave of the COVID-19 pandemic (2020-Q2), Slovakia reached the highest value of the integral indicator, but in the last recorded wave (2022-Q1), it moved to the last place. Its average integral indicator for all three waves reached the highest average value. However, the highest value of the integral indicator and thus the highest positive flexibility of the labour market during the third wave was reco rded by Germany, which evokes the assumption that the approach of the local government and authorities in the mentioned period most effectively protected the labour market from negative fluctuations. The results of the countries during the third wave of the pandemic consider the impact of the most current measures that were implemented at the time of the pandemic.

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“…As Bloom et al (2023) reported, the COVID-19 pandemic generally led economies to decline, negatively affecting living standards, public finances and productivity. Balkan & Akyuz (2023) recall the intense deterioration and identify the decline in economic growth and increasing budget deficits of cou ntries as reasons for this. For example, according to an international study, the pandemic, in the context of disrupting the continuity of economic processes, had a significantly negative impact on productivity and labour costs -the cumulative global economic loss amounted to roughly $10.4 trillion in 2020-2022, of which the economic losses of the EU, the US and China amounted to 30.44%, 18.74% and 15.44%, respectively (Cui et al, 2023).…”

Section: Entrepreneurship and Sustainability Issuesmentioning

confidence: 99%

Untitled

2024

JESI

0

View full text Add to dashboard Cite

Individual indicators linked to labour market developments during the COVID-19 pandemic provide a view of a particular area but fail to capture the issue of the impact of the crisis comprehensively. This problem can be addressed by integrating them using multicriteria methods, resulting in a synthetic indicator of a specific labour market. Thus, the issue of the impact of the pa ndemic on important macroeconomic and labour market indicators can be evaluated by calculating a single indicator. The main objecti ve of this study is to identify the labour market with the highest positive flexibility in relation to the impacts of the pandemic and thus reveal the critical factor that fundamentally reduces the resistance of the labour market to negative pandemic externalities. During the first wave of the COVID-19 pandemic (2020-Q2), Slovakia reached the highest value of the integral indicator, but in the last recorded wave (2022-Q1), it moved to the last place. Its average integral indicator for all three waves reached the highest average value. However, the highest value of the integral indicator and thus the highest positive flexibility of the labour market during the third wave was reco rded by Germany, which evokes the assumption that the approach of the local government and authorities in the mentioned period most effectively protected the labour market from negative fluctuations. The results of the countries during the third wave of the pandemic consider the impact of the most current measures that were implemented at the time of the pandemic.

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“…(1976) argued that the quality of an individual's life consists of such components as: marriage, family life, health, neighbors, friends, housework. The most important factors are the availability of work (Kuzior, 2022a;Balkan & Akyuz, 2023;Kuráth et. al., 2023), living conditions in the country (Vasa & Hovhannisyan, 2007;Blažević Bognar & Pleša Puljić, 2022;Altunoğlu et.…”

Section: Literature Reviewmentioning

confidence: 99%

Social and economic determinants of quality of life: Case of European countries

Vasylieva,

Witczak-Smolnik,

Tiutiunyk

et al. 2023

Economics &Amp; Sociology

5

0

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The article is devoted to the study of economic and social drivers of quality of life. The method of weighted sums and the Fishburn formula were employed to assess the level of quality of life. Using Ward's method and the Kalinsky-Kharabash test, three clusters of countries were identified. The relationship between indicators was modeled with the Johansen, Dickey-Fuller and Phillips-Perron tests. Five indicators of social development (children out of school, unemployment, literacy rate, hospital beds, total population) and six indicators of economic development (GDP, minimum wage, government expenditure on education, current health expenditure, state expenditure on physical culture and sports industry) were chosen to establish the relationship between the indicators. The research was focused on the data of 30 European countries. Two hypotheses were proposed and tested in the study. Hypothesis H1 was that public spending on education, health care, and sports stimulates an increase in the quality of life. This hypothesis was confirmed for all countries. Hypothesis H2 assumed that the number of children out of school, the level of unemployment, and illiteracy negatively affect the quality of life. This hypothesis was confirmed only for a small number of countries.

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Labour Productivity Analysis of Manufacturing Sector in Turkey Against Eu

Cited by 3 publications

References 73 publications

Integral analysis of selected labour market indicators in the context of a Covid-19 pandemic

Integral analysis of selected labour market indicators in the context of a Covid-19 pandemic

Untitled

Social and economic determinants of quality of life: Case of European countries

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