Search Results (8)

The purpose of this article was to examine the level and variability of budgetary expenditures directed to the Agricultural Social Insurance Fund (ASIF) in Poland in the form of subsidies to the Farmers’ Pension Fund in the period 2004–2024, i.e., after Poland’s accession to the European Union (EU). The aim of the study was also to determine the share of subsidies to the farmers’ social insurance fund in the total expenditures of the Polish agricultural budget, as well as the relationship of ASIF expenditures to state budget expenditures and GDP dynamics. The authors attempted to estimate the trend function for these time series and the degree of fit of the equations describing them. The formation of the nominal and real level of budget expenditures on the ASIF in 2004–2024 was evaluated. It was assumed that spending on the ASIF is an element of agricultural policy, realising its redistributive and social objectives, but indirectly also pro-development objectives by supporting generational change in agriculture. The research showed that the real level of spending on ASIF declined during Poland’s EU membership, as did the share of this spending in the total agricultural budget. The subsidy to the social security system also did not follow the changes in GDP and state budget expenditure proportionally, showing much less dynamism over the period studied. This means that budget support for farmers’ social security is losing its importance as an instrument of agricultural policy. It has been shown that the economic and social components of agricultural expenditure have not grown in harmony. The changes in the level of spending on the ASIF in the period 2004–2024 were also analysed in relation to demographic changes, i.e., the number of farmers insured in the ASIF and recipients of agricultural pensions. It has been shown that, despite a significant decrease in the number of farmers receiving pensions from the ASIF, there remains a large disparity between the average pension benefits of farmers and those of the general social insurance system (Social Insurance Institution—SII). The reduction in this disparity is not served by a real reduction in subsidies to the ASIF. Full article

Background: In Poland, breast cancer (BC) is the most frequently diagnosed cancer in women and the second most common cause of death after lung cancer. This disease has important economic implications for patients, public payers, and the whole Polish economy. This study aimed to estimate the total National Health Fund (NHF) expenditures on the diagnosis and treatment of patients with breast cancer. In addition, the costs of productivity losses were also calculated. Methods: Cost estimation was prepared using a top-down approach. Direct cost calculations were based on data reported by NHF for patients with the diagnosis of breast cancer. Medical care costs included the following components: screening program, oncological package, surgical treatment, hospitalization, drug program, chemotherapy, radiotherapy, and outpatient care. Indirect costs in the form of absenteeism costs were calculated based on data from Statistics Poland (gross domestic product, number of employees) and the Social Insurance Institution database (the number of sick leave days). Results: Total expenditures for BC including direct costs and indirect costs amounted to EUR 305,371, EUR 332,998, and EUR 344,649, respectively in 2017, 2018, and 2019. Total healthcare costs in 2019 were EUR 4114 lower than in 2018, which resulted from the reduction in expenditure on the drug program (decrease of EUR 13,527), despite the observed increase in all remaining resources. From direct costs, the highest expense was spent on the drug program (nearly 50% of total direct costs), but this expense dropped significantly in 2019. For the remaining parameters, the costs increased year by year, of which the most expensive were surgical treatment (15%), radiotherapy (12%), and the screening program (10%). BC generated over EUR 120 thousand of social costs in 2019 and compared to 2017, there was an increase in productivity loss by 26%. Conclusions: Our results from 2017–2019 demonstrated that total expenditure for BC in Poland increased from year to year. Breast cancer generated almost EUR 345 thousand expenses in 2019, which translates into a significant burden on the public payer’s budget and the society in Poland. Full article

Purpose: The purpose of this article is to describe the initial concept of household bridging insurance. Design/methodology/approach: In the first part of the article, an extensive literature review is made. This is made to show the research gap of insufficient protection of households against destabilization resulting from the lost personal contribution. Data shown in the text present the scale of the loss of lost unpaid work (based on household time budgets). The existing methods of managing this loss, based on social insurance, are also shown. Findings: This paper discusses the possibility of creating a new insurance. Its need is indicated (research gap, the scale of the problem, and insufficient protection by the social insurance system) and a preliminary outline of its structure is indicated (annuities character, dynamic sum insured related to the lifecycle of the household). The article contains the theoretical background of the new product, and introduces further research on the use of multistate models in the construction and calculation of insurance premiums. Originality/value: So far, studies concerning, inter alia, personal damage indicate the lost personal contribution (unpaid work for household members) and even try to evaluate it. However, no private insurance has been proposed to mitigate the destabilization resulting from the death of an adult household member. The article therefore proposes a new life insurance (a separated policy or as an extension option) that would help the household to return to normal operation after the death of one of the household members. Full article

Longevity risk is a major concern for governments around the world as they have to address social benefits, whether in the form of pensions, healthcare, or caring for dependents and providing long-term care, and so forth, which directly impact countries’ budgets. This paper uses a single entropy index to measure this type of risk. This methodology is clearly different from the one traditionally used in the literature, which is nearly entirely based on measuring the evolution of mathematical life expectancy. The authors used the longest-living populations in the world, Japan and Spain, to create a database in order to analyse the virtue of the indicator. The aim was to establish whether the longevity of those populations is accelerating or decelerating, compared by sex, and whether that occurs at the same intensity at different stages of a person’s life in each case. If the indicator showed differences in intensity, it would be a benchmark for the insurance and financial industry, providing it with information to market different products. Full article

Social protection systems are a key factor for ensuring the long-term sustainability and stability of economies in the European Union, their reform being nowadays present in the political agenda of member states. Aging and the dependence on mandatory levies applied to the employed population on the labor market represent a threat for the sustainability of public social protection systems. In terms of sustainability, our purpose was to highlight the factors influencing social insurance budgets, considering the fiscal policies implemented in six countries of Central and Eastern Europe and their particular labor market characteristics. Therefore, a panel study based on a regression model using the Ordinary Least Squares method (OLS) with cross section random effects was used to determine the correlations between funding sources and labor market specific indicators. The data analyzed led to relevant results that emphasize the dependence of social insurance budgets on positive factors such as the average level of salaries, the share of compulsory social contributions, the unemployment rate, and the human development index, suggesting the continuing need for professional and personal development of the workforce. Full article

Tunnel construction, a common byproduct of rapid economic growth and transportation-system development, carries inherent risks to life and various kinds of property that operations and management professionals must take into account. Due to various and complicated geological conditions, tunnel construction projects can produce unexpected collapses, landslides, avalanches, and water-related hazards. Moreover, damage from such events can be intensified by other factors, including geological hazards caused by natural disasters, such as heavy rainfall and earthquakes, resulting in huge social, economic, and environmental losses. Therefore, the present research conducted multiple linear regression analyses on financial-loss data arising from tunnel construction in Korea to develop a novel tunnel-focused method of natural-hazard risk assessment. More specifically, the total insured value and actual value of damage to 277 tunnel-construction projects were utilized to identify significant natural-disaster indicators linked to unexpected construction-budget overruns and construction-scheduling delays. Damage ratios (i.e., actual losses over total insured project value) were used as objective, quantitative indices of the extent of damage that can be usefully applied irrespective of project size. Natural-hazard impact data—specifically wind speed, rainfall, and flood occurrences—were applied as the independent variables in the regression model. In the regression model, maximum wind speed was found to be correlated with tunnel projects’ financial losses across all three of the natural-hazard indicators. The present research results can serve as important baseline references for natural disaster-related risk assessments of tunnel-construction projects, and thus serve the wider purpose of balanced and sustainable development. Full article

Due to recent advancements in industrialization, climate change and overpopulation, air pollution has become an issue of global concern and air quality is being highlighted as a social issue. Public interest and concern over respiratory health are increasing in terms of a high reliability of a healthy life or the social sustainability of human beings. Air pollution can have various adverse or deleterious effects on human health. Respiratory diseases such as asthma, the subject of this study, are especially regarded as ‘directly affected’ by air pollution. Since such pollution is derived from the combined effects of atmospheric pollutants and meteorological environmental factors, and it is not easy to estimate its influence on feasible respiratory diseases in various atmospheric environments. Previous studies have used clinical and cohort data based on relatively a small number of samples to determine how atmospheric pollutants affect diseases such as asthma. This has significant limitations in that each sample of the collections is likely to produce inconsistent results and it is difficult to attempt the experiments and studies other than by those in the medical profession. This study mainly focuses on predicting the actual asthmatic occurrence while utilizing and analyzing the data on both the atmospheric and meteorological environment officially released by the government. We used one of the advanced analytic models, often referred to as the vector autoregressive model (VAR), which traditionally has an advantage in multivariate time-series analysis to verify that each variable has a significant causal effect on the asthmatic occurrence. Next, the VAR model was applied to a deep learning algorithm to find a prediction model optimized for the prediction of asthmatic occurrence. The average error rate of the hybrid deep neural network (DNN) model was numerically verified to be about 8.17%, indicating better performance than other time-series algorithms. The proposed model can help streamline the national health and medical insurance system and health budget management in South Korea much more effectively. It can also provide efficiency in the deployment and management of the supply and demand of medical personnel in hospitals. In addition, it can contribute to the promotion of national health, enabling advance alerts of the risk of outbreaks by the atmospheric environment for chronic asthma patients. Furthermore, the theoretical methodologies, experimental results and implications of this study will be able to contribute to our current issues of global change and development in that the meteorological and environmental data-driven, deep-learning prediction model proposed hereby would put forward a macroscopic directionality which leads to sustainable public health and sustainability science. Full article

Honouring the requirement of the Convention on the Rights of Persons with Disabilities to introduce supported decision-making poses many challenges. Not least of those challenges is in writing laws and devising policies which facilitate access to formal and informal supports for large numbers of citizens requiring assistance with day-to-day issues such as dealing with welfare agencies, managing income security payments, or making health care decisions. Old measures such as representative payee schemes or “nominee” arrangements are not compatible with the CRPD. However, as comparatively routine social security or other government services become increasingly complex to navigate, and as self-managed or personalised budgets better recognise self-agency, any “off the shelf” measures become more difficult to craft and difficult to resource. This paper focuses on recent endeavours of the Australian Law Reform Commission and other local and overseas law reform and policy initiatives to tackle challenges posed both for ordinary citizens and those covered by special programs (such as Australia’s National Disability Insurance Scheme and “disability trusts” in Australia and Canada). Full article