In this study, the effect of ICTs on health output in BRICS countries and Turkey, both on a panel and country basis, was analyzed using data from the period 1990-2018. According to the findings obtained for the overall panel, in the long run, all the variables are statistically significant in the PMG estimator, but not in the MG estimator. The use of mobile and fixed phones, which are among the variables representing ICTs, affects negatively, and internet use has a positive effect. When the findings are evaluated according to the groups, all of the variables belonging to ICTs have a positive sign in the Turkey sample. In countries other than Turkey, the coefficients for the number of fixed and mobile phone subscribers have negative values and affect the life expectancy negatively in the short term, and the number of internet users have a positive sign and affect the life expectancy positively.

No abstract

Toplumsal sorunlara yenilikçi ve kalıcı çözüm üretme süreci olarak kısaca tanımlanan sosyal girişimcilik piyasa yapısından kaynaklı sorunların önlenmesinde ya da azaltılmasında yiyecek, barınak, eğitim, temel sağlık ve hijyen hizmetleri gibi bazı faaliyetler gerçekleştirmektedir. Bu faaliyetler toplumsal sorunları azaltmanın yanı sıra ekonomik büyümeyi de etkilemektedir. Bu doğrultuda sosyal girişimcilik değişkeni ilave bir üretim girdisi olarak genişletilmiş Solow modeline (MRW (1992), Ishise ve Sawada (2009)'ın sosyal sermayeyi MRW modeline dahil ettiği çalışması temel alınarak, eklenmiştir. Ardından bu model 24 OECD ülkesinde 1970-2014 yılları arasında sosyal girişimcilik için vekil olarak kullanılan STK ve özel sektörün kurumsal sosyal sorumluluk (KSS) kapsamında gerçekleştirmiş olduğu ayni ve nakdi yardımların ekonomik büyümeye katkısı için test edilmiştir. Analiz bulgularına göre gelişmiş ülke örnekleminde sosyal girişimciliğinin "balık verme" boyutu olarak ifade edilen yardımların ekonomik büyümeye etkisi bulunamamıştır. Ancak çalışma, veri seti ve model uygulaması olarak literatürde ilklerdendir.

Purpose –The purpose of this study is to investigate the relationships between oil prices and food prices for January 2003-September 2022 in Türkiye.Design/methodology/approach–Variable associations were examined using the RALS cointegration test. The RALS-ADL cointegration test uses information in non-dispersed errors. Thus, it produces more powerful predictions for non-normal distributions compared to cointegration tests. In addition,this test avoids widespread practices such as predetermining a particular functional form.Findings –The results show that the series have a cointegration connection. The DOLS, FMOLS, and Canonic cointegration approaches produced long-term coefficients in agreement with the discovery of a long-term association. Although the results of the applied tests were comparable, the results of the FMOLS and Canonik tests are substantially more comparable. Given that FMOLS technique is more effective than others and produces outcomes comparable to those of Canonik approach, its results have been interpreted in this situation. As a result, while having a positive sign, the exchange rate variable is not statistically significant. In terms of food prices, oil prices have a negative explanatory power. The CPI variable has a considerable impacts on both the present and future pricing of food. Our findings demonstrate that the price of oil does not always correlate with the price of food, and vice versa.Discussion –There are certain recommendations that can be made to researchers and policymakers based on the findings. Supporting contract farming, which has recently been mentioned, will improve food sufficiency and the balance of food stocks, particularly during times of crisis. On the demand side, the preference for locally produced foods can reduce the over-reliance on food imports, which frequently worsens the country's status with regard to food prices and may lower the dryness. From this vantage point, future research can contrast oil-exporting nations and oil-importing countries in terms of the food price-oil price connection, whereas the current study focuses on the relationships between oil prices and food prices in Türkiye.

The aim of this study is to calculate the environmental performance of the Level-2 regions spanning the period between 2009 and 2020, and make policy recommendations in line with relevant findings. Multi Criteria Decision Making (MCDM) methods are applied for this evaluation, in which total electricity consumption per capita and number of ventures in agriculture, forestry, fishery and water supply are used as indicators. Initially, the weights of the aforementioned criteria are calculated via the Entropy method, one of the MCDM techniques. Then, the environmental performance ranking of the Level-2 Region is derived through the ARAS method. Findings show that the criterion with the highest weight is electricity consumption per capita, whereas the one with the lowest weight is water supply. In addition, ARAS method posit that while TR10 (Istanbul) performs the best among the sample, TR81 (Zonguldak, Karabük, Bartın) ranks last.