Efficiency and Productivity Differences in Healthcare Systems: The Case of the European Union

Lacko, Roman; Hajduová, Zuzana; Bakalár, Tomáš; Pavolová, Henrieta

doi:10.3390/ijerph20010178

Cited by 7 publications

(4 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is a crucial factor to consider in the healthcare industry because rising costs can restrict patient's access to vital care and burden the economic resources of healthcare organizations. Preventative care and early intervention can reduce costly treatments and boost economic efficiency [49]. This may include health education, screening, and lifestyle modification.…”

Section: Introductionmentioning

confidence: 99%

The Effects of Toxic Air Pollutants and Environmental Health on Public Health in Saudi Arabia

Zaidan,

Al-Wathinani,

Arbaein

2024

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

Environmental health is one of the public health domains determined by physical, chemical, biological, social, and psychosocial factors. The current improvement and success in terms of technology, society, and the provision of multiple services after the Industrial Revolution were accompanied by a massive toll of air pollutants that were introduced and emitted into the air, causing global public health issues. It is crucial to understand how harmful air pollutants affect ecological health and the economic consequences of such effects. This study examined the relationship between Environmental Health assessed by CO Carbon Monoxide per capita (CO), Public Health Expenditures per capita (PHE), Toxic Air Pollution (PM₂.₅ and NO₂), and Life Expectancy (LE), using the novel statistical model Bootstrap Autoregressive Distributed Lag (BARDL), for period data from 1990 to 2022 in Saudi Arabia. Results showed no cointegrating relationship and a negative one-way causal relationship between CO, NO₂, PM₂.₅, and LE. Moreover, a positive two-way causal relationship was found between PHE and LE. Saudi Arabia initiated several strategies that aim to reduce environmental pollution and improve the overall quality of air, a step that will promote healthy living and have a vast positive economic impact in the long run.

show abstract

Section: Introductionmentioning

confidence: 99%

The Effects of Toxic Air Pollutants and Environmental Health on Public Health in Saudi Arabia

Zaidan,

Al-Wathinani,

Arbaein

2024

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

show abstract

“…The second method is data envelopment analysis (DEA), which could provide a more accurate measure of efficiency by incorporating healthcare production functions. [26][27][28] This method can also be extended to use the slack based measure (SBM) model and the Malmquist model in combination with a panel regression model or for dynamic analysis. 29,30 In China, a cluster of healthcare resources can be found in developed provinces and cities, but the geographic accessibility of healthcare resources is poor in underdeveloped provinces and cities.…”

Section: Introductionmentioning

confidence: 99%

“…The second method is data envelopment analysis (DEA), which could provide a more accurate measure of efficiency by incorporating healthcare production functions. 26-28 This method can also be extended to use the slack based measure (SBM) model and the Malmquist model in combination with a panel regression model or for dynamic analysis. 29,30…”

Section: Introductionmentioning

confidence: 99%

Estimating the Distribution and Convergence of County-level Healthcare Resources Allocative Efficiency in China Based on DEA and Spatial Panel Model

Sun

Yang

et al. 2023

INQUIRY

View full text Add to dashboard Cite

Although China’s 2009 New Healthcare Reform aimed to correct the imbalance in the spatial allocation of healthcare resources with a focus on the county level, its impact on county-level allocative efficiency evolution and convergence remains unclear. This paper for the first time performs a spatial analysis to explore the distribution, evolution, and convergence of the allocative efficiency of healthcare resources with county-level data. This paper uses the sample data of 158 countries in Henan Province, China, to evaluate the evolution and convergence of the allocative efficiency of healthcare resources. Based on the estimated Data Envelopment Analysis (DEA) allocative efficiency, analysis of variance (ANOVA), and spatial descriptive analysis, we explore the county heterogeneity and efficiency evolution; a spatial panel model is then utilized to test the county-level convergence of the allocative efficiency of healthcare resources. Although the number of efficient counties has not increased, the number of inefficient individuals keeps decreasing, and the allocative efficiency of municipal districts is lower than that of nonmunicipal counties. There exists a positive spatial correlation of allocative efficiency in Henan Province, and significant and robust convergence results can be found at the county level after China’s 2009 reform. This study reveals a diversified picture of China’s county-level spatial evolution of allocative efficiency in healthcare resources, showing a more balanced spatial distribution of allocative efficiency since the triggering of China’s 2009 reform. However, long-term investment incentives and a targeted allocation of healthcare resources are still needed to promote further efficiency convergence and increase the number of counties with efficiency.

show abstract

“…For health systems efficiency, in 2001, based on the findings of the World Health Report 2000 Evans et al further estimated the relation between the health outputs (population health) and inputs, and revealed that besides increasing health resources input, most countries could achieve important gains by using the actual resources more efficiently 20. Following, many scholars explored the efficiency of the health systems in Asian countries,21 Organisation for Economic Cooperation and Development countries,22 23 European Union state,24 Eastern Mediterranean Region,25 Middle East and North Africa26 and ASEAN countries,27 etc, and the findings suggested that differences of the health systems efficiency existing among regions and countries and many of the countries still need to make efforts to improve the health systems efficiency. Besides the cross-national researches, there are also a number of studies examining the health systems efficiency from a single country’s perspective.…”

Section: Introductionmentioning

confidence: 99%

Health systems efficiency in China and ASEAN, 2015–2020: a DEA-Tobit and SFA analysis application

Kang,

Peng,

Feng

et al. 2023

BMJ Open

View full text Add to dashboard Cite

ObjectiveTo evaluate the health systems efficiency in China and Association of Southeast Asian Nations (ASEAN) countries from 2015 to 2020.DesignHealth efficiency analysis using data envelopment analysis (DEA) and stochastic frontier approach analysis.SettingHealth systems in China and ASEAN countries.MethodsDEA-Malmquist model and SFA model were used to analyse the health system efficiency among China and ASEAN countries, and the Tobit regression model was employed to analyse the factors affecting the efficiency of health system among these countries.ResultsIn 2020, the average technical efficiency, pure technical efficiency and scale efficiency of China and 10 ASEAN countries’ health systems were 0.700, 1 and 0.701, respectively. The average total factor productivity (TFP) index of the health systems in 11 countries from 2015 to 2020 was 0.962, with a decrease of 1.4%, among which the average technical efficiency index was 1.016, and the average technical progress efficiency index was 0.947. In the past 6 years, the TFP index of the health system in Malaysia was higher than 1, while the TFP index of other countries was lower than 1. The cost efficiency among China and ASEAN countries was relatively high and stable. The per capita gross domestic product (current US$) and the urban population have significant effects on the efficiency of health systems.ConclusionsHealth systems inefficiency is existing in China and the majority ASEAN countries. However, the lower/middle-income countries outperformed high-income countries. Technical efficiency is the key to improve the TFP of health systems. It is suggested that China and ASEAN countries should enhance scale efficiency, accelerate technological progress and strengthen regional health cooperation according to their respective situations.

show abstract

Efficiency and Productivity Differences in Healthcare Systems: The Case of the European Union

Cited by 7 publications

References 36 publications

The Effects of Toxic Air Pollutants and Environmental Health on Public Health in Saudi Arabia

The Effects of Toxic Air Pollutants and Environmental Health on Public Health in Saudi Arabia

Estimating the Distribution and Convergence of County-level Healthcare Resources Allocative Efficiency in China Based on DEA and Spatial Panel Model

Health systems efficiency in China and ASEAN, 2015–2020: a DEA-Tobit and SFA analysis application

Contact Info

Product

Resources

About