Empowering women in sustainable agriculture.

The agricultural and rural development policy seeks to facilitate the transition towards environmentally sustainable and climate-neutral agricultural practices, with a focus on human capital, knowledge, and innovation. Gender equality can play a significant role in promoting environmentally sustainable practices in the agricultural sector, particularly through the adoption and implementation of agri-environment-climate schemes (AECS) in the context of farm, agricultural, and rural development. We examine the presence of gender bias in the adoption intensity of AECS by utilising farm-level data from Slovenia. We find that women on Slovenian farms engage in the adoption of AECS and receive subsidies, despite the presence of a gender gap in various agricultural factor endowment variables that typically favour men. The results of this study provide evidence in favour of promoting greater involvement and empowerment of women in the fields of green technology applications and green entrepreneurship, particularly with AECS practices.

Analysis of impact of nosocomial infections on cost of patient hospitalisation.

OBJECTIVES: The scale of the economic problem of the occurrence of nosocomial infections and the resulting high additional costs of treatment can only be assessed using economic analyses. The aim of the study was to analyse the impact of a nosocomial infection in a patient in the treatment process and the direct costs of patient hospitalisation. The article contributes to a cost analysis, which is a relevant basis for adopting effective solutions and decisions on the introduction of new programmes and measures to reduce nosocomial infections and associated costs. METHODS: In the first phase of the micro-economic analysis, we analysed the course of hospitalisation of a non-colonised patient treated in an ordinary hospital room. In the second phase, we analysed the process of hospitalisation of a patient who developed a nosocomial infection and was transferred to an isolation room. The difference in cost of both types of treatment allowed us to carry out an economic analysis to estimate the direct costs of nosocomial infection, which are not related to the initial diagnosis of the patient but only to the patient hospitalisation. To calculate the individual types of direct costs of both alternative treatments, we first used the process flow diagram method, which then enabled us to analyse the impact of the occurrence of nosocomial infection on the efficiency and costs of the hospital. RESULTS: The results showed that the total direct cost of hospitalisation of a non-colonised patient was 1,317.58 euro per day, and the direct cost of hospitalisation of a patient with a nosocomial infection was 2,268.14 euro per day of hospitalisation. CONCLUSIONS: We found that reducing nosocomial infections would have a significant impact on the savings or reduction in healthcare costs associated with a different work process for patients in isolation. It would save 950.56 euro per patient for each day of hospitalisation for individual treatment of a patient hospitalised in an isolation room as consequence of a nosocomial infection.

Architecture of the health system as an enabler of better wellbeing.

INTRODUCTION: Health systems worldwide have heterogenous capacities and financing characteristics. No clear empirical evidence is available on the possible outcomes of these characteristics for population wellbeing. AIM: The study aims to provide empirical insight into health policy alternatives to support the development of health system architecture to improve population wellbeing. METHOD AND RESULTS: We developed an unsupervised neural network model to cluster countries and used the Human Development Index to derive a wellbeing model. The results show that no single health system architecture is associated with a higher level of population wellbeing. Strikingly, high levels of health expenditure and physical health capacity do not guarantee a high level of population wellbeing and different health systems correspond to a certain wellbeing level. CONCLUSIONS: Our analysis shows that alternative options exist for some health system characteristics. These can be considered by governments developing health policy priorities.

Optimal Network of General Hospitals in Slovenia.

This article explores how the minimum number of general hospital locations can be determined with optimal population coverage. Due to the increasing financial problems of hospitals and the poor organization of general hospital healthcare, Slovenia is currently working to reform the healthcare system. Defining the optimal network of hospital providers is one of the key elements in reforming the healthcare system. To define the optimal network of general hospitals, the allocation-location model was used, and the maximize attendance model was used as the central method. The chief purpose of maximize attendance model is to optimize the demand attendance with respect to distance and time spent getting to the point of demand. In the analysis of optimal locations and the number of Slovenian general hospitals, we used data on the locations of settlements with their number of inhabitants and data on the Slovenian road network, based on which we defined average travel speeds on the categorized road network. The hypothetical locations of general hospitals and the number of optimally located general hospitals that provide access to the nearest provider were determined in three different time intervals. We found that the same accessibility to hospital services as provided by the existing network of general hospitals can be achieved with only ten optimally located general hospitals within a 30-min time interval. This means that two general hospitals could be rationalized or reorganized, which would bring significant savings in the field of hospital activity, which creates a large loss in the health system in Slovenia.

What drives family farm size growth in Hungary?

During the last two decades, the number of Hungarian family farms has declined, while average farm size has grown. To identify the drivers of farm size growth, the paper investigates the importance of human capital along with leadership skills, farm and spatial farm regional location characteristics, and government subsidies for Hungarian family farms using a Farm Accountancy Data Network dataset for the period 2007 to 2015. The application of quantile regression models and their findings suggest that leadership skills have little effect on the growth of Hungarian family farms. In contrast to the effect of skills, the general characteristics of the family farms (such as farm size, farm type, and state subsidies) determine their growth. Smaller family farms grew faster than bigger family farms. The non-linear relationship between farm size growth and farm type as well as state subsidies is confirmed for different quantiles of farm size. The findings suggest that the ongoing process of family farm restructuring depends on the latter's size and pertains to family farm characteristics and government policies. The market selection process of farms and farm restructuring, along with a decline in the number of farms and their size growth, is likely to continue due in part to climate change and the robotization and digitalization of farms and will be affected by the resilience of different farm types.

Did Human Microbes Affect Tourist Arrivals before the COVID-19 Shock? Pre-Effect Forecasting Model for Slovenia.

In 2020, with a substantial decline in tourist arrivals slightly before the time of COVID-19, the innovative econometric approach predicted possible responses between the spread of human microbes (bacteria/viruses) and tourist arrivals. The article developed a conceptually tested econometric model for predicting an exogenous shock on tourist arrivals driven by the spread of disease using a time series approach. The reworked study is based on an autoregressive integrated moving average (ARIMA) model to avoid spurious results. The periods of robust empirical study were obtained from the data vectors i) from January 2008 to December 2018 and ii) from January 2008 to December 2020. The data were obtained from the National Institute of Public Health (NIPH) and the Statistical Office of the Republic of Slovenia. The ARIMA model predicted the number of declines in tourist arrivals for the approaching periods due to the spread of viruses. Before the outbreak of COVID-19, pre-pandemic results confirmed a one-fifth drop in tourist arrivals in the medium term. In the short term, the decline could be more than three-quarters. A further shock can be caused by forecasted bacterial infections; less likely to reduce tourist demand in the long term. The results can improve the evidence for public health demand in risk reduction for tourists as possible patients. The data from the NIPH are crucial for monitoring public health and tourism management as a base for predictions of unknown events.

Measuring Efficiency of Secondary Healthcare Providers in Slovenia.

The chief aim of this study was to analyze secondary healthcare providers' efficiency, focusing on the efficiency analysis of Slovene general hospitals. We intended to present a complete picture of technical, allocative, and cost or economic efficiency of general hospitals. METHODS: We researched the aspects of efficiency with two econometric methods. First, we calculated the necessary quotients of efficiency with the stochastic frontier analyze (SFA), which are realized by econometric evaluation of stochastic frontier functions; then, with the data envelopment analyze (DEA), we calculated the necessary quotients that are based on the linear programming method. RESULTS: Results on measures of efficiency showed that the two chosen methods produced two different conclusions. The SFA method concluded Celje General Hospital is the most efficient general hospital, whereas the DEA method concluded Brezice General Hospital was the hospital to be declared as the most efficient hospital. CONCLUSION: Our results are a useful tool that can aid managers, payers, and designers of healthcare policy to better understand how general hospitals operate. The participants can accordingly decide with less difficulty on any further business operations of general hospitals, having the best practices of general hospitals at their disposal.

Economic evaluation of knee arthroscopy treatment in a general hospital.

Aim The economic evaluation of medical programs applies procedures that search for and ensure the cheapest methods of medical treatment with the best feasible health results. The aim of this study was to thoroughly examine both the costs and results of medical outcomes, which were based upon two alternative methods of treatment. The purpose was to offer obtained information to the medical profession and hospital management, since they must decide on how to use the funds designed for knee arthroscopy surgery. Methods A cost-utility analysis of two competitive treatments for knee arthroscopy was evaluated: the first one was executed by a standard department of surgery and the second one for the implementation within the framework of ambulatory treatment. Results The direct costs of the existing knee arthroscopy surgery amount to 930.39 euro, while the alternative treatment amount to 419.80 euro. The second alternative treatment would significantly reduce labor costs, depreciation costs and material costs. The implementation of the second alternative would reduce the total cost by 54.88%. CONCLUSION: Outpatient surgical procedures can bring numerous potential advantages such as lower costs and unchanged or improved medical outcomes, when compared to the classical method of outpatient treatment. The results show that the outpatient treatment does not sacrifice quality in order to reduce hospital costs.