Sürdürülebilir Kalkınma Amaçları
Yayınlar
- MakaleAçık Erişim2026Towards Greening the BRICS: Uncovering the Impact of Green Energy, Green Technology and Forest Cover on Environmental Quality
Henni, Mohamed Djafar; Ayaydın, Hasan; Akbulut Yıldız, Gizem; Orhan, Abdullah; Pilatin, Abdulmuttalip; Abdelkader, Salim Bourchid
The BRICS economies, facing the threat of climate change, face a policy challenge in transitioning from fossil-fuel-based energy systems and improving environmental quality. This necessitates urgent policy changes in the outdated energy infrastructure of BRICS countries. However, there still remains a policy gap regarding how countries in the BRICS, a group of rapidly developing economies, can grow their economies in line with the Sustainable Development Goals. The aim of our study is to investigate the impact of green energy, green technology, and forest cover on environmental quality in BRICS countries. The BRICS group of countries offers an ideal field of study for both examining the impacts of green energy, green technology, and forest areas on environmental quality in developing economies, as well as for evaluating national and global energy policies. Although numerous studies have empirically examined the relationship between environmental variables and green initiatives, the impact of green initiatives on the load capacity factor has been overlooked. These studies have generally used various econometric methods and have not included machine learning in the process. This study addresses this research gap by focusing on green energy and green technology, which are preferred for their various advantages and make significant contributions to the load capacity factor. To analyze this relationship in BRICS economies between 2000 and 2022, the Augmented Mean Group (AMG) estimator and Machine Learning algorithms were used. According to the results, strong evidence emerges of a positive relationship between green energy, the digital economy, forested area, and the load capacity factor, while a negative relationship exists between green technology, growth, and the load capacity factor. Based on robust empirical findings, renewable energy sources are a key driver of clean energy adoption and can ultimately increase the load capacity factor in BRICS economies. The results also imply that, since developments in green technological innovation in BRICS countries are still in their infancy, investments in green technologies for a sustainable environment need to be qualitatively increased.
- MakaleAçık Erişim2023Financial Forecast in Business and an Application Proposal: The Case of Random Forest Technique
Orhan, Abdullah; Saglam, Necdet
The financial forecast is a subject that investors and researchers have been working on for many years. The developing business environment and the globalising market have led to many variables. This situation has led to the complexity of forecasting models. Technological developments have enabled financial forecasts to be made by computer programs. This way, it has been possible to analyse with more variables and avoid mistakes. In this study, five businesses from different sectors whose shares are traded in Borsa Istanbul were randomly selected. The financial statements of these businesses between 2009 and 2020 were obtained from the Public Disclosure Platform website. Current assets, fixed assets, equity, net sales, and net profit items of the businesses between 2010 and 2020 are forecasted using the random forest technique. As a result of the research, it has been determined that the random forest technique can be used effectively in the financial forecast.