Sürdürülebilir Kalkınma Amaçları

• 7
• 7
• 5
• 4
• 3
• 3
• 2
• 2
• 2
• 2
• 1
• 1

Araştırmacılar(8)

• Ayçin, Ejder
• Balibey, Mesut
• Kazar, Görkemli
• Kurtuluş, Şehmus
• Mentese, Sabit
• Sarı, Sacit
• Satis, Ihsan
• Songur, Mehmet

• MakaleYalnız künye2026Scopus SJRQ2/r/munzur/4702
  From assistance to dependence: The nexus between AI dependence and workplace cognitive engagement

  Uyan, Umut; Ibin, Adil

  Background The increasing integration of artificial intelligence (AI) tools into workplace practices has reshaped how employees process information and perform cognitive tasks. While these systems are often associated with superior efficiency, their excessive use may entail significant cognitive costs. Objective Grounded in automation complacency perspective and the growing literature on technology addiction, this study investigates how dependence on artificial intelligence is associated with cognitive engagement in the workplace, with particular attention to the mediating role of cognitive fatigue. Methods Adopting quantitative research design, data were collected from 246 academic and administrative staff who actively use AI tools in their daily work routines. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to test the theoretical model proposed. Results The findings indicate that dependence on AI was positively associated with cognitive fatigue (beta = 0.569; t = 13.468; p = 0.000) and negatively with cognitive engagement (beta = -0.174; t = 2.503; p = 0.012). In addition, the relationship between cognitive fatigue and cognitive engagement was found to be negative and statistically significant (beta = -0.207; t = 2.773; p = 0.006). Mediation analysis further revealed that cognitive fatigue partially mediates the relationship between dependence on AI and cognitive engagement (indirect effect beta = -0.118, t = 2.724, p < .01; VAF = 40.5%). Conclusion These results suggest that higher levels of dependence on AI correspond to higher employee cognitive fatigue, which in turn relates to lower cognitive engagement at work. By empirically demonstrating the cognitive costs of AI reliance, this study contributes to the emerging literature on workplace AI and technology addiction.

  • 
  • 
  İncele
• MakaleAçık Erişim2026/r/munzur/4339
  A Consensus-Edge Initializer for Multi-start 2-opt on the Symmetric Euclidean Travelling Salesman Problem

  Saygili, Ahmet Caglar; Kazan, Halim

  We study a one-shot consensus-based initializer for multi-start 2-opt on symmetric Euclidean Travelling Salesman Problem (TSP) instances. Given the M local minima from best-of-M 2-opt, we count undirected edge frequencies, greedily assemble a tour from the most frequent edges with a length-biased tie-break, and run a single additional 2-opt descent from this seed. The local search operator is unchanged; the consensus stage reuses existingtours and adds only a small overhead beyond the M descents, and we characterise this overhead analytically while focusing evaluation on tour length improvements. On synthetic Euclidean instances from three generators, we evaluate performance over a grid of problem sizes n and restart budgets M. The consensus + 2-opt pipeline improves best-of-M 2-opt by roughly 3-6% in median tour length with high win rates for n >= 500 and moderate M, while for small n and large M the baseline saturates and gains shrink to zero or slightly negative values. Thus, even a single aggregation step over 2-opt local minima yields a simple, reproducible seed that is beneficial in the practically relevant regime of moderate budgets and larger instances and approximately neutral elsewhere.

  İncele
• MakaleAçık Erişim2026Scopus SJRQ1/r/munzur/1285
  Knowledge Rent, Intangible Capital, and Core–Periphery Dynamics: Theory and Evidence

  Ateş-Saygılı, Çiğdem

  We study how ownership and pricing of intangible assets generate asymmetric macroeconomic dynamics between a core and a periphery. We develop a two-country dynamic stochastic general equilibrium (DSGE) model in which production uses tangible capital, domestically owned intangible capital, and rented foreign intangible services; the periphery pays a knowledge rent flow to the core, which acts as a wedge in its accumulation equation. Calibrated to observed income shares and depreciation patterns, the model yields sharp qualitative predictions. Following a positive technology shock in the core, core output jumps and consumption and labor rise persistently, while the periphery sees only modest output gains and slower capital build-up; a positive technology shock in the periphery can even reduce its output as rent payments drain resources, with only small, transitory effects in the core. A tighter repayment schedule modestly lifts core activity–mainly via consumption–while acting as a negative wealth shock in the periphery that lowers output, labor, and consumption. Sensitivity analyses–varying the periphery's intangible share and reliance on rented knowledge–preserve these qualitative rankings. Complementary evidence from OECD panels (2000–2019) using PVARs and state-dependent local projections shows that cross-border payments for the use of intellectual property co-move with financing conditions and macroeconomic dynamics, consistent with the model's mechanism. Policy implications include building domestic intangible capacity, easing diffusion at fair terms, and leveraging multilateral tools to reduce effective rent exposure in the periphery.

  • 
  İncele
• MakaleAçık Erişim2026Scopus SJRQ1/r/munzur/797
  Path Dependence and Spatial Spillovers in Regional Digitalization: Evidence from Dynamic Spatial Panel Analysis in Europe

  Kazar, Görkemli; Kazar, Altuğ

  Digitalization is the driver of regional competitiveness and sustainable development, but its geographical impacts differ significantly across Europe. This study was conducted to determine if digital transformation results in regional sustainability or if it increases spatial inequalities, concentrating on European NUTS-1 regions for the period 2021–2025. A composite Regional Digitalization Index was developed by means of Principal Component Analysis (PCA) based on indicators measuring internet access, internet usage, and the availability of digital public services. Dynamic spatial panel econometric models were used for empirical investigation, including a Spatial Autoregressive (SAR) model and a Spatial Durbin model (SDM), which facilitated the exploration of both temporal dependence and spatial spillover. Three main conclusions can be derived from the results, as follows: The level of digitalization in a region is highly stable over time, whereby the development depends most on previous paths. Subsequently, human capital is highly significant for digital development, and its effects are not only local but also spill over to neighboring regions. Lastly, spatial interactions consist of two opposite forces—the positive diffusion from digitally advanced neighboring regions and the competitive effects related to the economic strength of neighboring regions—that further intensify the core–periphery divide.

  • 
  • 
  AtıfScopus1·WoS1·OpenAlex1

  İncele
• MakaleAçık Erişim2025/r/munzur/6166
  Assessing Environmental Policy Impact through the Ecological Footprint: The Case of Türkiye

  Sarı, Sacit

  This study investigates the long-term effectiveness of environmental policies in Türkiye by examining the stochastic properties of the ecological footprint (EF) and its six subcomponents, carbon footprint, cropland footprint, grazing land footprint, forest products footprint, fishing grounds footprint, and built-up land footprint over the period 1961–2022. Annual per capita data obtained from the Global Footprint Network are analyzed using two-unit root testing methodologies: the conventional Augmented Dickey-Fuller (ADF) test and the more robust RALS-LM unit root test, which accounts for structural breaks and non-normal error distributions. The findings reveal that both the EF and its largest component, the CF, are stationary, suggesting that past environmental policy interventions have yielded transitory effects. Only the CRF and FGF exhibit nonstationarity, indicating that agricultural and fisheries-related policies may have induced permanent shifts in environmental outcomes. Overall, the results suggest that environmental policies in Türkiye to date have not led to long-term and permanent improvements in the ecological footprint indicator. Therefore, it is concluded that policy design should be more comprehensive, consistent, and structurally transformative to achieve environmental sustainability.

  • 
  • 
  AtıfOpenAlex1·TR Dizin1

  İncele
• MakaleAçık Erişim2025/r/munzur/6081
  Türkiye in the Framework of the Preston Curve and Wilkinson Hypothesis: The Transformation of Income Growth, Income Distribution, and Life Expectancy

  Sarı, Sacit

  This study examines the validity of the Preston Curve and Wilkinson Hypothesis in the context of the Turkish economy, analyzing the impact of per capita income, income inequality, and public health expenditures on life expectancy. Using data from 1960 to 2022, graphical analysis and time series methods were employed to investigate the relationships between these variables. The key findings indicate that the Preston Curve is valid for Türkiye, as higher per capita income increases life expectancy, but the effect diminishes beyond a certain income level. A negative and statistically significant relationship was found between income inequality and life expectancy, supporting the Wilkinson Hypothesis. Additionally, public health expenditures positively and significantly influence life expectancy, highlighting the importance of government investments in healthcare. The findings suggest that the impact of economic growth on health indicators is not solely determined by rising income levels but also by the reduction of income inequality and increased public health expenditures. Policy recommendations include expanding healthcare spending, implementing social policies to mitigate income inequality, and addressing regional disparities in healthcare access.

  • 
  • 
  İncele
• MakaleAçık Erişim2025/r/munzur/6054
  Macroeconomic determinants of food inflation in Türkiye: Empirical evidence from RALS-based time series analysis

  Sarı, Sacit

  This study aims to analyse the macroeconomic determinants of food price inflation in Türkiye using monthly data for the period 2015:01–2025:03. Fluctuations in food prices have significant impacts, particularly on the quality of life and food security of low-income households. In this context, food price inflation is used as the dependent variable. In contrast, the agricultural input price index, commercial loan interest rate, exchange rate, and oil prices are employed as explanatory variables. The stationarity properties of the series are examined through the Zivot-Andrews test and the RALS- LM test with structural breaks. The presence of a long-run cointegration relationship among the variables is tested using the RALS-EG test, and long-run coefficients are obtained via the DOLS method, which addresses endogeneity and serial correlation by augmenting the levels equation with leads and lags of first differences. Empirical findings suggest that agricultural input prices, interest rates, and exchange rates have a positive and significant impact on food inflation. Based on the results, reducing agricultural production costs, expanding the availability of low-interest farm loans, and effectively managing energy subsidies are critical to controlling food inflation. Anahtar Kelimeler:

  • 
  AtıfOpenAlex1·TR Dizin1

  İncele
• MakaleAçık Erişim2025/r/munzur/5707
  Makroekonomik Değişkenlerin Finansal Piyasalar Üzerindeki Etkisi: Türkiye Ekonomisi Üzerine Bir Uygulama

  Sarı, Sacit; Çoban, Mustafa Necati

  Bu çalışma, Türkiye ekonomisinde makroekonomik değişkenler ile finansal piyasalar arasındaki ilişkiyi 2003:Q1-2023:Q4 döneminde incelemeyi amaçlamaktadır. Araştırmanın temel amacı, BİST-100 getiri endeksinin belirleyicilerini tespit etmek ve makroekonomik değişkenlerin finansal piyasalara etkisini ortaya koymaktır. Çalışmada bağımlı değişken olarak BİST-100 getiri endeksi, açıklayıcı değişkenler olarak ise nominal döviz kuru, mevduat faiz oranı, enflasyon oranı, reel GSYH ve Brent petrol fiyatları değişkenleri kullanılmıştır. Çalışmada genişletilmiş otoregresif dağıtılmış gecikmeler (A-ARDL) eşbütünleşme analizi ve Hacker ve Hatemi-J Bootstrap nedensellik testi yöntemleri kullanılmıştır. Elde edilen bulgular, döviz kuru, enflasyon oranı ve reel GSYH’nin borsa getirileri üzerinde uzun dönemde pozitif etkiler oluşturduğunu, faiz oranlarının ise uzun dönemde negatif bir etkiye sahip olduğunu ortaya koymuştur. A-ARDL eşbütünleşme analizi, açıklayıcı değişkenlerin borsa getirileri ile uzun dönemli ilişki olduğunu göstermektedir. Ayrıca, Hacker ve Hatemi-J Bootstrap nedensellik testi, döviz kurundan borsa getirisine, enflasyon oranından borsa getirisine ve reel GSYH’den borsa getirisine doğru tek yönlü nedensellik ilişkisi bulunduğunu ortaya koymuştur. Bu bulgular, makroekonomik değişkenlerin Türkiye’nin finansal piyasalarındaki belirleyici rolünü ve yatırım kararları üzerindeki etkisini vurgulamaktadır. Sonuçlar, politika yapıcılar için finansal piyasalardaki dalgalanmaları öngörme ve yönetme noktasında önemli bilgiler sunmaktadır.

  • 
  İncele
• MakaleYalnız künye2025Scopus SJRQ2/r/munzur/2331
  Impact of green innovation on environmental issues: Findings from BRICS-T countries based on spatial analysis

  Han, Ayşegül; Pehlivan, Ceren; Konat, Gökhan; Koncak, Ahmet

  This study examines the impact of green innovations on environmental sustainability in BRICS-T countries between 2008 and 2021. Using indicators such as renewable energy consumption, R&D investments, industrial design activities, and carbon emissions, the analysis employs both conventional and spatial panel estimation techniques. The findings reveal that investments in renewable energy play a crucial role in reducing carbon emissions and positively contribute to environmental sustainability. However, the effectiveness of environmental innovation policies and R&D expenditures in mitigating emissions remains limited, particularly in the short term. Additionally, industrial design activities are identified as a significant contributor to rising emissions, highlighting the need for a transition toward more sustainable industrial practices. The study also uncovers spatial dependencies among countries, demonstrating that carbon emissions in one nation can influence those in neighboring countries, emphasizing the necessity of regional cooperation and coordinated environmental policies. Based on these findings, the study provides policy recommendations to enhance the effectiveness of green innovations, stressing the importance of increasing investments in renewable energy, aligning R&D expenditures with environmentally sustainable technologies, and promoting sustainable industrial practices across BRICS-T countries.

  • 
  • 
  • 
  AtıfScopus2·WoS2·OpenAlex3

  İncele
• MakaleYalnız künye2025Scopus SJRQ2/r/munzur/1252
  Exploring the Grazing Land Footprint’s Stochastic Behavior in the Top Dairy and Meat-Producing Nations

  Adali, Zafer; Yeter, Fatih; Çoban, Mustafa Necati; Sarı, Sacit

  The Sustainable Development Goals (SDGs) are a set of influential and easily understood sustainability principles. SDG2 defines Zero Hunger, which is once again a key goal in the SDGs. A sustainable food system depends on the grazing land footprint, one of the elements of the ecological footprint. For food security to be maintained, the grazing land footprint has to be taken into consideration. In order to provide adequate global food systems and mitigate climate change, research on the stochastic features of grazing land footprint is crucial. The goal of this research is to look at the stochastic characteristics of the grazing land footprint in 13 nations that produce almost two-thirds of the world’s milk and meat. The study includes data for 13 nations over the years 1961–2022. Several unit root tests are conducted to provide more precise data about the effectiveness of the policy shocks, including whether or not they allow for repeated, smooth structural breakdowns. The results show that because the series is prone to following its long-term trends, shocks cannot lead it to diverge from those trends. Thus, any shocks brought on by policies cannot have a lasting effect on the series. However, the series includes a unit root. The unit root tests have made it clear that any policy shocks would have a long-lasting effect on the series and that policymakers may set a goal for the series. Policy suggestions have been provided for the investigated nations in conjunction with these results.

  • 
  • 
  • 
  AtıfScopus2·WoS2·OpenAlex8

  İncele