Sürdürülebilir Kalkınma Amaçları
Yazarlar
Yayınlar
- Yüksek Lisans TeziAçık Erişim2026Dijitalleşme, yoksulluk ve istihdam ilişkisi: Ülkelerin gelir gruplarına göre ampirik bulgular
Kübra Akyüz
Teknolojik ilerleme ve ekonomideki etkileri, sürecin yoksullukla ilişkisi, tartışılan temel konular arasında yer almaktadır. Bu çalışmada, 2015 ve 2020 yıllarının teknolojik göstergeleri, yoksulluk ve ekonomik büyüme arasındaki ilişkiler, ülkelerin gelir düzeyleriyle ampirik olarak incelenmektedir. 2015 internet kullanan bireyler (% nüfus), Ar-Ge harcamaları (Gayri Safi Yurt İçi Hasıla[GSYİH]'nin yüzdesi), Ar-Ge'de çalışanlar mal, hizmet ithalatı (yıllık % büyüme), mal ve hizmet ihracatı (yıllık % büyüme), GSYİH büyümesi (yıllık %), eğitim, istihdam veya mesleki eğitimde olmayan gençlerin oranı, toplam (% genç nüfusuna oranı) (International Labour Organization[ILO] tahmini modellemesi), 15+nüfusa oranla istihdam oranı, toplam(%) (ILO tahmini modellemesi) yoksulluk sınırında yoksulluk oranı (nüfusun %) değişkenleri kullanılmış, 2020, Ar-Ge'de çalışan araştırmacılar dışındakiler kullanılmıştır. Ülkeler gelişmiş ülkeler ve gelişmekte olan ülkeler 4 gelir grubundan oluşan 2015 yılı için 34, 2020 yılı için 47 adettir. Çalışmanın amacı, teknolojik gelişmişliğin ülkelerin gelir gruplarına göre farklılığını, bu farklılaşmanın yoksulluk yapısı üzerindeki etkisini ve ekonomik büyümenin bunlar üzerindeki etkisini ortaya koymaktır. Analizlerde Dünya Bankası Dünya Kalkınma Göstergeleri (World Development Indicators) veri tabanından veriler kullanılmıştır. Ülkeler ve değişkenler arasındaki ilişkiler korelasyon analizi ile değerlendirilmiştir. Gelire göre değişken ortalamalarının farklılaşıp farklılığını test eden tek yönlü varyans analizi (ANOVA) uygulanmıştır. Sonra diskriminant analizi ile hangi değişkenlerin, hangi yıllarda hangi gelir gruplarını nasıl ayırt ettiği incelenmiştir. Çalışma, teknolojik göstergeler (özellikle internet kullanımı ve Ar-Ge), istihdam yapısı ve yoksulluğun gelir gruplarını ayırmada belirleyici olduğunu göstermiştir. 2015 ve 2020 yıllarında dijital erişim ve sosyal yapı farklılıkları, kalkınma düzeylerindeki ayrışmanın kaynağıdır. Sonuçlar, teknolojinin yoksulluğu azaltıcı etkisinin ancak beşerî sermaye ve kurumsal yapıyla desteklendiğinde sürdürülebilir olduğunu ortaya koymaktadır.
- MakaleYalnız künye2025Scopus SJRQ1Modeling the Compressive Strength of Fiber-Reinforced Alkali-Activated Concrete Using Non-Destructive Methods in Short Curing Periods
Aksüt, Yavuz Selim; Çullu, Mustafa; Yetgin, Sukru
The indirect assessment of concrete compressive strength using non-destructive techniques, including the Schmidt rebound hammer and ultrasonic pulse velocity methods, is crucial for evaluating and tracking the strength of structural concrete used in construction and rehabilitation projects. However, studies focusing on alkali-activated concrete (AAC) remain insufficient. This study investigates the mechanical properties of fiber-reinforced alkali-activated concretes (FAACs) produced with short curing times, addressing this gap in the literature. Ground blast furnace slag (GBFS) was used as the binder, and waste volcanic rock dust (RD), produced in a natural stone processing plant, served as a fine filler. These materials were activated with sodium hydroxide (NaOH) and sodium silicate (Na2SiO3) to produce alkali-activated concrete, both without fibers (AAC) and with fibers (FAAC). Steel fiber (SF) and polyester fiber (PYF) were used separately and in hybrid forms at 0.25%; 0.50%; 0.75%, and 1.0% volume fractions, resulting in a total of 117 cubic specimens (15x15x15 cm). The specimens' mechanical properties were evaluated using regression analyses based on data from Schmidt rebound number (RN), ultrasonic pulse velocity (UPV) non-destructive methods and uniaxial compressive strength (UCS) destructive tests. Optimized functions predicting compressive strength based on RN and UPV measurements were developed, highlighting the significant effects of fiber type, ratio, and mode of use. Additionally, multivariate prediction models were statistically developed using data from the three test methods.
AtıfWoS2OpenAlex1İncele - MakaleYalnız künye2023Scopus SJRQ2Worry about Climate Change of Outdoor Recreation Participants: A Case Study in Türkiye
Aslan, Ramazan; Köçer, Musab Süleyman; Mizrak, And Sefa
Anthropogenic climate change (ACC) is considered to be one of the biggest threats to humanity in this century, with severe direct or indirect impacts on people’s lives. Such a significant threat causes serious concern, which can motivate low-level proenvironmental behavior and lead to serious health problems at high levels. Therefore, determining the level of this concern is crucial. Outdoor recreation participants, who are constantly in contact with nature, can closely witness the effects of ACC due to these interactions. Therefore, evaluating their ACC worry is essential. In this study, the aim was to determine the ACC worry levels of outdoor recreation participants. The research data were collected through an online survey from a sample reached through convenience sampling method throughout Türkiye. The data were analyzed using analysis of moment structures (AMOS) and Statistical Package for the Social Sciences (SPSS) software. The relationship between independent variables and ACC concern was revealed through ordinal logistic regression. The research found that the participants had a high level of concern about ACC, with a score of 3.50. It was also determined that this level of concern was influenced by variables such as the type of outdoor recreation, the duration of participation in outdoor recreation, and exposure to the effects of ACC. Considering that ACC can motivate proenvironmental behaviors, the research suggests that outdoor recreational participants with high levels of concern about ACC should not be ignored in the adaptation process.
AtıfScopus4WoS4OpenAlex5İncele - MakaleAçık Erişim2022Scopus SJRQ3Would You like to Work More Hours?—An Investigation on South Africa
Popescu, Cristina Raluca Gh.; Karapınar Kocağ, Esra
To begin with, Sustainable Development Goals are of tremendous importance in all areas, being seen as vital aims in all domains, which makes them indispensable when it comes to addressing the particularities of the labour market these days. Subsequently, human resources occupy a distinctive and unique position when referring to the implications derived from targeting Sustainable Development Goals, especially in the context represented by the period specific to the COVID-19 pandemic and the international events that followed immediately after that. This study investigates the work motivation of individuals, and whether they would be willing to work more hours if they are paid. Motivation and attitudes towards working more hours might be affected by several factors, and they are important contributors to business performance. Not only business performance is to be affected, but this is also a part of Sustainable Development Goals where labour market conditions and productivity concerns are addressed, along with several other factors. Using the Quarterly Labour Force Survey from 2017 to 2022 that is conducted by Statistics South Africa, this study attempts to shed light on individual preferences for working more hours in the case of South Africa. Considering the dichotomous dependent variable, a binary response model is utilised to explore the determinants of such behaviour. Findings of the probit model reveal that socio-demographic factors such as gender, marital status, education level, and work experience are important indicators to explain this preference. More precisely, being female increases the likelihood of willingness to work more hours if paid by 1.1 percentage points, and being never married increases that probability by 2.7 percentage points. Within education categories, the highest coefficient in magnitude, having tertiary education decreases the probability of willingness to work more hours by 8.2 percentage points. As an important labour market indicator, one more year to commence working increases the probability of willingness to work more hours by 0.4 percentage points.
AtıfScopus1İncele - MakaleYalnız künye2019A STUDY ON THE CHARACTERISTICS OF GÜMÜŞHANE SEISMICITY: ANALYSES OF REGION-TIME PARAMETERS
Öztürk, Serkan; Kaya, Aynur
The proposed study is focused on the identification of region-time characteristics of earthquakes in Gümüşhane, Turkey. Detailed statistical evaluations were achieved by considering the most frequently used size-scaling parameters such as seismotectonic b-value, fractal dimension Dc-value, standard normal deviate Z-value and recurrence time of earthquakes. Used earthquake catalog is homogeneous for duration magnitude, Md, and consists of 2902 shallow earthquakes with 1.0≤Md≤6.5 in about 47.76-years period between 1970 and middle of 2018. b-value is computed as 1.02±0.02 with a completeness level of 2.8, and this result indicates that frequency-magnitude distribution of seismicity in Gümüşhane is well represented with a b-value typically close to 1.0. Dc-value is calculated as 1.57±0.03 with a scale invariance between 4.96 and 86.28 km. This Dc-value means that seismic activity is more clustered in smaller areas or at larger scales in Gümüşhane. The analysis on the recurrence times of earthquakes implies that Gümüşhane has not a significant earthquake potential for the great earthquakes. Regional variation of b-value shows that small bvalues were observed in and around Kelkit and Köse, and these regions may have a possible earthquake hazard and risk in the future. Z-value analysis suggests that there are not noticeable seismicity rate changes in the mid-2018. These statistical results indicate that the seismic hazard is low and seismic risk is minor in the intermediate term in Gümüşhane.
AtıfScopus3WoS2İncele