Tümay, Muhammed

This research investigates air pollution's health and economic implications, focusing on the effect of fine particulate matter (PM2.5) on premature death in the European Union (EU)-27 countries from 2007 to 2019. It employs a robust fixed-effect (FE) panel regression to analyze the data. The study considers various economic and demographic factors, including healthcare expenditure as a percentage of GDP, income distribution, healthy life expectancy at age 65, fertility rates, and total deaths. The analysis reveals that a 1% increase in PM2.5 causes a significant 1.9% rise in premature deaths. These findings urge policymakers to limit air pollution and its destructive impact on public health. The results highlight the need to integrate environmental health interventions into economic policies to protect and improve population well-being. It also adds to the existing economic literature on environmental degradation and its impact on health.

Macit, Nazife Sahin

This study investigates Türkiye’s performance in renewable energy utilization, economic growth, and carbon emissions between 2000 and 2021 through the application of multi-criteria decision-making (MCDM) methods. By employing MAXC and MUTRISS as decision-making models, this study facilitates the integrated assessment of economic development and environmental sustainability objectives. The MAXC-based analysis identifies economic growth (GDP) as the most influential criterion aligned with national development objectives, while environmental sustainability emerges as a secondary yet essential component. Renewable energy consumption is underscored as a fundamental element of sustainable development. The MUTRISS findings indicate that Türkiye exhibited its highest overall performance in 2004, whereas 2007 and 2008 were marked by the lowest performance levels, potentially reflecting the adverse effects of economic downturns and environmental pressures. To validate the robustness of the applied methods, comparative analyses were conducted with other MCDM techniques. Spearman rank correlation results reveal strong concordance between MAXC and objective weighting methods such as Entropy, MPSI, and IDOCRIW, while showing a negative correlation with CILOS. Conversely, MUTRISS demonstrated moderate positive correlations with PIV, SAW, and CoCoSo, indicating relatively lower ranking consistency. The findings contribute to the methodological evaluation of MCDM tools and emphasize the importance of integrated economic–environmental policy approaches in sustainability assessments.