Yazar "Atalan, Abdulkadir" seçeneğine göre listele
Listeleniyor 1 - 4 / 4
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe Developing Statistical Optimization Models for Urban Competitiveness Index: Under the Boundaries of Econophysics Approach(Wiley-Hindawi, 2019) Donmez, Cem Cagri; Atalan, AbdulkadirThe 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.Öğe Forecasting for Healthcare Expenditure of Turkey Covering the Years of 2018-2050(Gümüşhane Üniversitesi, 2020) Atalan, AbdulkadirThe aim of this study was to measure health expenditure (HE) estimates for Turkey for the next 32 years. Considering HE data of Turkey for the period from 1975 to 2017 over 42 years, more than one equation was obtained for estimation. Equations were formed in trendline analysis in order to estimate the HE values in the long term by considering the reliability levels of the data. The data were used for HE of Turkey as a share of gross domestic product (GDP), which ranges from less than 1.49 % to 5.53 % in this research. Estimation of HE of Turkey for the next 32 years (the period from 2018 to 2050) according to the formulas developed were considered in this research. For the years to come, the maximum ratio of HE of 8.56 % was gained by the exponential trend for the year 2050. In the opposite direction, the minimum HE ratio was expected to be 2.17 % of the 5th order equation for 2018. 7.45 % covers the years after 2030 due to the exponential distribution for the average the values of HE. While the average value obtained by the 6th order equation, which has the highest reliability rate is 3.45 %, the difference between the maximum and the minimum was calculated as 3.4479%. For the period of 2018-2050, an average of HE rates of Turkey was 5.07 %, whereas the maximum value was calculated to be 6.68 %. The minimum value of HE was estimated at 3.58 % of GDP. As a result, Turkey needs to upgrade the amount of budget allocated for healthcare on the purpose of improving healthcare infrastructure.Öğe A TRENDLINE ANALYSIS FOR HEALTHCARE EXPENDITURE PER CAPITA OF OECD MEMBERS(Yildiz Technical Univ, 2020) Atalan, Abdulkadir; Cinar, Zeliha; Cinar, MehmetThe 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.Öğe TÜRKİYE SAĞLIK EKONOMİSİ İÇİN İSTATİSTİKSEL ÇOK AMAÇLI OPTİMİZASYON MODELİNİN UYGULANMASI(Bayburt University, 2018) Atalan, AbdulkadirSağlık sistemleri ülkelerin alt yapısını oluşturmakla beraber aynı zamanda bu ülkelerin ekonomik yapısının önemli temel taşlarındandır. Sağlık sistemlerinin ekonomik yapısını etkileyen birçok faktör bulunmaktadır. Gelişmiş ülkelerde sağlık ekonomisini ölçen iki etken mevcuttur; sağlık harcamaları ve kişi başına düşen sağlık giderleridir. Bu çalışmada, 1990-2016 yılları arasında Türkiye'nin sağlık ekonomisini etkileyen faktörler dikkate alınarak, istatistiksel çok amaçlı optimizasyon yöntemi ile sağlık harcamalarının minimize ve kişi başına düşen sağlık giderlerinin ise maksimize edilmesi amaçlanmıştır. Türkiye'nin sağlık ekonomisi için ilk defa uygulanan bu yöntem ile sağlık harcamalarında %7,59 oranında bir azalma sağlanmıştır. Ayrıca, kişi başına düşen sağlık giderlerinin maksimize edilerek 496 dolardan 595,9805 dolara çıkması ile %18,250 oranında iyileşme sağlayan optimum değerler elde edilmiştir.
