Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395

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Department: search.filters.department.Abdullah Gül UniversitySubject: search.filters.subject.Commerce

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  • Article
    Citation - Scopus: 22
    Transition Towards the Sustainable Development: Unraveling the Effects of Mineral Markets, Belt & Road Initiative, and the Paris Agreement on Green Economic Growth
    (Elsevier Ltd, 2024-04) Xia, Xiqiang; Chishti, Muhammad Zubair; Dogan, Eyup
    The Agenda 2030 strongly emphasizes implementing effective and equitable measures to address the urgent challenge of global warming, primarily driven by unsustainable fossil-fuel combustion, and one of its core focuses is Sustainable Development Goal (SDG) – 8, among others. In light of this, the recent article aims to explore the dynamic nexus between minerals (MNR), the Belt and Road Initiative (BRI), the Paris Agreement (PA), green technologies (GT), and green growth, with a specific focus on developing a policy framework for advancing SDG – 8. The study utilizes daily data and advanced econometric tools such as QVAR, Cross-quantileogram, and wavelet-quantile correlation to examine the diverse effects of these factors on green growth across various time horizons. The short-run analysis reveals that MNR, BRI, and GT discourage green growth under most market conditions, except for a few quantiles that exhibit positive or insignificant relationships. In the medium run, impacts are mixed, with both positive and negative effects observed. However, in the long run, MNR, BRI, and GT consistently demonstrate favorable effects on green growth. For PA, short and medium-run effects are mixed, but medium-run results indicate a predominantly positive impact on green growth. In the long run, PA significantly benefits green growth across the majority of market conditions. Overall, the diversified results suggest that minerals, BRI, the Paris Agreement, and green technologies play a crucial role in stimulating green growth to achieve SDG - 8 in the long term. © 2024 Elsevier B.V., All rights reserved.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 8
    Short Term Electricity Load Forecasting: A Case Study of Electric Utility Market in Turkey
    (Institute of Electrical and Electronics Engineers Inc., 2015-04) Ishik, Muhammed Yasin; Göze, Tolga; Ozcan, Ihsan; Güngör, Vehbi Çağrı; Aydin, Zafer; Yasin, Muhammed
    With the recent developments in energy sector, the pricing of electricity is now governed by the spot market where a variety of market mechanisms are effective. After the new legislation of market liberalization in Turkey, competition-based on hourly price has received a growing interest in the energy market, which necessitated generators and electric utility companies to add new dimensions to their scope of operation: short-term load and price forecasting. The field has several opportunities though not free from challenges. The dynamic behavior of the market price has caused the electric load to become variable and non-stationary. Furthermore, the number of nodes, in which the load must be predicted, is not constant anymore and can no longer be estimated by experts alone. In this competitive scenario, statistical forecasting methods that can automatically and accurately process thousands of data samples are essential. The purpose of this study is to demonstrate the importance of short-term load forecasting, how it has received a growing interest in Turkey and to propose an artificial neural network that can forecast the short term electricity load. Through detailed performance evaluations, we demonstrate that our forecasting method is capable of predicting the hourly load accurately. © 2017 Elsevier B.V., All rights reserved.
  • Conference Object
    Citation - Scopus: 2
    ATGRUVAE: Reducing Noise and Improving Forecasting Performance in Stock Data
    (Institute of Electrical and Electronics Engineers Inc., 2024-10-26) Akkaş, Huseyin; Kolukisa, Burak; Bakir-Güngör, Burcu
    Nowadays, to maximize their income, investors and researchers try to predict the future prices of stocks in the market using artificial intelligence algorithms. However, noise in stock price fluctuations negatively a ffects t he accuracy of the forecasts. To this end, Attention Based Variational Autoencoders with Gated Recurrent Units (ATGRUVAE) method is developed to remove the noise in stock price fluctuations a nd compared with variational, basic and noise removing autoencoders. Exper-iments are conducted using historical stock prices of well-known companies such as Apple, Google and Amazon and 9 different indicator values derived from these stock prices. The noise cleaned stocks are then trained and tested on Extreme Gradient Boosting (XGBoost), Long Short-Term Memory (LSTM) and Linear Regression (LR) models. The results show that the proposed ATGRUVAE model outperforms all three models and demonstrates its ability to capture complex patterns in stock market data. © 2025 Elsevier B.V., All rights reserved.
  • Article
    Citation - WoS: 12
    Citation - Scopus: 18
    A Comparison of Proactive and Reactive Environmental Strategies in Green Product Innovation
    (Inderscience Publishers, 2019) Genç, Ebru; Di Benedetto, C. Anthony; Anthony Di Benedetto, C.
    Companies are exposed to different kinds of pressures to respond to environmental sustainability issues. It is critical to understand how firms integrate environmental issues into their corporate agendas and how these integration strategies affect corporate performance. This paper investigates factors that motivate firms to adopt environmental marketing strategies and their relative impact on green product innovation performance. A comprehensive conceptual framework is developed and tested that portrays the antecedents and consequences of environmental marketing strategy (EMS). The results show that developing environmental strategies that exceed regulations (proactive strategies) leads to better new product performance than those that only adhere to regulations (reactive strategies). In addition, we find that commitment from top management becomes critical only for proactive strategies, not for reactive strategies. Finally, with regard to the consequences, we show that environmental marketing strategies lead to new product advantage and, ultimately, improved sustainable new product performance. © 2021 Elsevier B.V., All rights reserved.