Sürdürülebilir Kalkınma Amaçları
Yayınlar
- BildiriYalnız künye2020A TRENDLINE ANALYSIS FOR HEALTHCARE EXPENDITURE PER CAPITA OF OECD MEMBERS
Atalan, Abdulkadir; Çinar, Zeliha; Çinar, Mehmet
The aim of this study was to predict the per capita health expenditures (HE PC) of OECD countries for the future. Datasets were used to evaluate the accuracy of HE PC estimation of OECD members from 2000 to 2017 shared online by OECD DATA in this study. Forecasting calculations about HE PC cover the years 2018-2025. Estimation series method derived by trend-line equations was used to make any predictions for the future years in the methodology part of the present research. A trend line analysis by generating one linear equation and seven non-linear equations was carried out within this study. The minimum value of the amount of the HE PC was counted as $3,930.13 with the 4th order equation for the year 2018 and the highest amount was calculated as $5,760.47 for the year 2025 with the equation of exponential distribution. The average amount of the HE PC was calculated as $4,616.62 which can be argued as a decrease in the budget allocated for the HE PC. The minimization of the standard error of the mean level was the secondary goal of the work in order to ensure that the results obtained for estimation were consistent with the data used. Predictive equations for HE PC values were found to be suitable for use as a consistent analysis tool for future outcomes. It can be emphasized that there is no drawback in the use of estimation equations for other indicators in the field of healthcare, as only the use for HE PC was verified in this study.
AtıfScopus4
İncele - MakaleAçık Erişim2019Scopus SJRQ2Employment of emergency advanced nurses of Turkey: A discrete-event simulation application
Atalan, Abdulkadir; Donmez, Cem Cagri
In the present study, problems in emergency services (ESs) were dealt with by analyzing the working system of ESs in Turkey. The purpose of this study was to reduce the waiting times spent in hospitals by employing advanced nurses (ANs) to treat patients who are not urgent, or who may be treated as outpatients in ESs. By applying discrete-event simulation on a 1/24 (daily) and 7/24 (weekly) basis, and by employing ANs, it was determined that the number of patients that were treated increased by 26.71% on a 1/24 basis, and by 15.13% on a 7/24 basis. The waiting time that was spent from the admission to the ES until the treatment time decreased by 38.67% on a 1/24 basis and 53.66% on a 24/7 basis. Similarly, the length of stay was reduced from 82.46 min to 53.97 min in the ES. Among the findings, it was observed that the efficiency rate of the resources was balanced by the employment of ANs, although it was not possible to obtain sufficient efficiency from the resources used in the ESs prior to the present study.
AtıfScopus9WoS8OpenAlex13
İncele - MakaleAçık Erişim2019Scopus SJRQ1Developing Statistical Optimization Models for Urban Competitiveness Index: Under the Boundaries of Econophysics Approach
Dönmez, Cem Çaǧri; Atalan, Abdulkadir; Locurcio, Marco
The purpose of this research was to establish the urban competitiveness index (UCI) by using the statistical optimization method for the econophysics approach. With this technique, economic data regarding urban areas and the factors affecting UCI have been determined. The research covers 30 urban centres located in 15 countries worldwide. Urban centres with the gross domestic product per capita of $10,000 or more were taken into consideration. The significant levels of the factors were determined with the statistical optimization method, and optimum values were calculated with the developed optimization models. Re-index values were calculated and compared with the results of PricewaterhouseCoopers and World Economic Forum. According to the results, the high UCI value of these locations depends not only on economic data but also on high values of social factors. Thus, those locations are becoming the centre of attraction for investments and capital with increasing competitiveness.
AtıfScopus5WoS4OpenAlex9İncele - MakaleYalnız künye2018Ekonofizik yaklaşımı ile kentsel rekabetçilik indeksinin oluşturulması
Dönmez, Cem Çağrı; Atalan, Abdulkadir
Kentsel ekonomi problemlerinin analizi için birçok ekonomik metotlar kullanılmıştır. Ancak günümüzde daha farklı bir yaklaşım olan ekonofizik metodu ile fiziğin temellerini oluşturan yasaların ekonomide de geçerli olacağı, yapılan bilimsel araştırmalar sonucu somut bir şekilde ortaya konulmuştur. Kentsel rekabetçilik için önemli olan parametreler dikkate alınarak kentsel rekabetçilik indeksi oluşturulmuştur. Ancak bu parametreler arasında yer alan kent popülasyon yoğunluğunun kent ekonomisinde ve buna bağlı olarak kentsel rekabetçilik indeksinde etkili olmadığı görülmektedir. Bu çalışmada, ekonofizik yaklaşımı ile oluşturulan kentsel rekabetçilik indekslerinin kent ekonomilerinde olan belirsizliğin ve dengesizliğin giderilmesi amaçlanmış olup, ekonofiziğin kuramlarından olan istatistiksel fizik yöntemiyle sayısal veriler kullanılarak kent ekonomisinde gelecek dönemler için somut bir sonuç elde edilmiştir. Kentlerin ekonomisinde belirsizliğin ve dengesizliğin azalmasıyla, diğer kentler ile rekabette daha güçlü olacakları bu çalışma ile ortaya konulmuştur
AtıfTR Dizin1
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