Sürdürülebilir Kalkınma Amaçları

Yazarlar

  • MakaleAçık Erişim2025
    Drivers of the Load Capacity Factor in New İndustrialized Countries: Economic Growth, Financial Development and Urbanization on Load Capacity Factor

    Durmus, Savas; Agırkaya, Melahat Batu; Akyol, Hikmet

    This study examines the effects of economic growth, financial development, and urbanization on the load capacity factor (LCF) for Newly Industrialized Countries (NICs) over the period 1991-2021. In this context, we analyzed the relationship between the variables using the Fixed Effects Driscoll-Kraay and Fixed Effects Panel Quantile estimators. The estimation results indicate that across all quantiles (low, medium, and high levels of environmental degradation), economic growth has a positive effect on LCF, while the squared term of economic growth has a negative effect. Urbanization and renewable energy consumption positively impact LCF, whereas financial development and labor force participation rates have negative effects. The positive effects of urbanization and renewable energy consumption on LCF become more pronounced in higher quantiles. Conversely, the negative impact of labor force participation on LCF is stronger in higher quantiles. The negative effect of financial development on LCF, however, becomes statistically insignificant at higher quantiles.

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    AtıfScopus12OpenAlex11
    İncele
  • MakaleYalnız künye2020
    The Effect of Remittances on Financial Development in Developing Countries: Dynamic Panel Data Analysis

    Akbulut Yildiz, Gizem

    The aim of the study is to measure the effect of workers' remittances on financial development. The study on 44 developing countries covers the period 1994-2017. In the empirical analysis of the study, financial development index data was used as the dependent variable. However, financial institutions and financial markets index data, which are the sub-criteria of the index, are also used in the study as dependent variables. As independent variables, workers' remittances, GDP per capita, trade openness and inflation data are used. According to the results of the analysis made using the Two-Stage System Generalized Moments Method, workers' remittances, per capita GDP and trade openness, financial development, financial institutions and financial markets are statistically significant and positive, while inflation is negatively.