Informal work in Poland – a regional approach

Nikulin, Dagmara; Sobiechowska-Ziegert, Aneta

doi:10.1111/pirs.12306

Cited by 7 publications

(2 citation statements)

References 84 publications

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“…Further analysis of the GWR explores and explains why this spatial structuring is observed. It also occurred that sickness absence is associated with certain unobserved (hidden) regional patterns towards the spatial directional distribution of the process determinants (i.e., informal work, European labor law, the level of socioeconomic development, or the spread of diseases in the surrounding areas) [68,69].…”

Section: Discussionmentioning

confidence: 99%

Causes of Sickness Absenteeism in Europe—Analysis from an Intercountry and Gender Perspective

Antczak

Miszczyńska

2021

IJERPH

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This study aims to extract and explain the territorially varied relation between socioeconomic factors and absence rate from work due to own illness or disability in European countries in the years 2006–2020. For this purpose, several causes were identified, depending on men and women. To explain the absenteeism and emphasize gender as well as intercountry differences, geographically weighted regression was applied. For men, there were five main variables that influenced sickness absence: body mass index, the average rating of satisfaction by job situation, employment in the manufacturing sector, social benefits by sickness/health care, and performing health-enhancing physical activity. For women, there were five main variables that increased the absence rate: the risk of poverty or social exclusion, long-standing illness or health problems, employment in the manufacturing sector, social protection benefits, and deaths due to pneumonia. Based on the conducted research, it was proven that the sickness absence observed in the analyzed countries was highly gender and spatially diverged. Understanding the multifactorial factors playing an important role in the occurrence of regional and gender-divergent sickness absence may be a good predictor of subsequent morbidity and mortality as well as be very useful to better prevent this outcome.

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Section: Discussionmentioning

confidence: 99%

Causes of Sickness Absenteeism in Europe—Analysis from an Intercountry and Gender Perspective

Antczak

Miszczyńska

2021

IJERPH

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“…417-431;Sobiechowska-Ziegert & Mikulska, 2013, pp. 200-209), informal work (Nikulin & Sobiechowska-Ziegert, 2018, pp. 1127-1246, innovation (Balcerzak & Pietrzak, 2017a, pp.…”

Section: Literature Reviewmentioning

confidence: 99%

Sensitivity analysis as a tool to optimise Human Development Index

Kuc‐Czarnecka

2019

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Research background: Composite indicators are commonly used as an approximation tool to measure economic development, the standard of living, competitiveness, fairness, effectiveness, and many others being willingly implemented into many different research disciplines. However, it seems that in most cases, the variable weighting procedure is avoided or erroneous since, in most cases, the so-called ‘weights by belief’ are applied. As research show, it can be frequently observed that weights do not equal importance in composite indicators. As a result, biased rankings or grouping of objects are obtained. Purpose of the article: The primary purpose of this article is to optimise and improve the Human Development Index, which is the most commonly used composite indicator to rank countries in terms of their socio-economic development. The optimisation will be done by re-scaling the current weights, so they will express the real impact of every single component taken into consideration during HDI’s calculation process. Methods: In order to achieve the purpose mentioned above, the sensitivity analysis tools (mainly the first-order sensitivity index) were used to determine the appropriate weights in the Human Development Index. In the HDI’s resilience evaluation process, the Monte Carlo simulations and full-Bayesian Gaussian processes were applied. Based on the adjusted weights, a new ranking of countries was established and compiled with the initial ranking using, among others, Kendall tau correlation coefficient. Findings & Value added: Based on the data published by UNDP for 2017, it has been shown that the Human Development Index is built incorrectly by putting equal weights for all of its components. The weights proposed by the sensitivity analysis better reflect the actual contribution of individual factors to HDI variability. Re-scaled Human Development Index constructed based on proposed weights allow for better differentiation of countries due to their socio-economic development.

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How Large Is Shadow Economy?

Nikulin

Lechman

2021

SpringerBriefs in Economics

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Informal work in Poland – a regional approach

Cited by 7 publications

References 84 publications

Causes of Sickness Absenteeism in Europe—Analysis from an Intercountry and Gender Perspective

Causes of Sickness Absenteeism in Europe—Analysis from an Intercountry and Gender Perspective

Sensitivity analysis as a tool to optimise Human Development Index

How Large Is Shadow Economy?

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