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Öğe ANALYSIS OF RELATIONSHIP BETWEEN GOVERMENT DOMESTIC DEBTS AND BASIC MACROECONOMIC INDICATORS IN TURKEY(Mehmet Akif Ersoy Univ, 2022) Gov, Abdullah; Yilanci, VeliMost of the algorithms used in the literature for the Granger (1969) causality test are based on a statistical significance test. The fact that the number of variables included in the model is sufficiently large may lead to some problems in the estimating of Granger causality test equations. Lozano et al. (2009) emphasizes that it is very important for Granger causality methods to formulate the group structure appropriately among lagged values of any time series. Bahadori and Liu (2013) stated that the Granger causality approach may not provide consistent results for a high-dimensional data set within sufficient number observations. In order to solve such problems in Granger causality tests, Granger causality approaches based on various penalized estimators are developed. The applications of Granger causality approaches based on various penalized estimators in the context of economic variables are very few in the literature. In this study, the causality relationship between goverment domestic debts and some basic macroeconomic indicators in Turkey is analyzed with Granger causality approaches based on various penalized estimators. According to the results of LASSO GN, elastic net GN and elastic net CGN tests, it was determined that there are bidirectional causal relationships between government debt, inflation, exchange rate, money supply, interest rate, industrial production index, and primary balance.Öğe Analyzing Türkiye's ecological footprint: the impact of air transportation, renewable energy, and R&D using a non-linear ARDL approach(Iop Publishing Ltd, 2025) Konat, Gokhan; Yilanci, Veli; Tatar, Havanur Ergun; Han, AysegulThis study investigates the complex relationship between air transportation, research and development (R&D) expenditures, renewable energy consumption, economic growth, and the ecological footprint in T & uuml;rkiye, utilizing annual data from 1990 to 2021. Employing both linear and non-linear Autoregressive Distributed Lag (ARDL) models, the study assesses the validity of the Environmental Kuznets Curve (EKC) hypothesis and explores the short- and long-run dynamics of the ecological footprint. Both the linear and non-linear ARDL models provide support for the EKC hypothesis, suggesting that economic growth may decouple from environmental degradation in the long run. Furthermore, robustness checks corroborate these findings. In the long term, air transportation exhibits asymmetric effects; while its positive components do not have a direct impact, its negative components contribute to environmental degradation in T & uuml;rkiye. Renewable energy consumption mitigates environmental pressure, whereas the impact of R&D expenditures is not statistically significant. The findings underscore the substantial influence of air transportation on T & uuml;rkiye's ecological footprint, highlighting the necessity for sustained efforts toward sustainable practices and technological advancements within the aviation sector. Moreover, the study emphasizes the importance of investments in R&D and renewable energy for achieving environmental sustainability, while also acknowledging their complex and multifaceted impacts. The paper also discusses policy recommendations and future research directions focused on achieving a balance between economic development and environmental protection in T & uuml;rkiye.Öğe Investigation of the role of technological innovation in reducing carbon dioxide damage in Turkey with Fourier tests: Testing the Kuznets curve hypothesis(Springer, 2025) Coskun, Muhammet Fatih; Konat, Gokhan; Yilanci, VeliRising global environmental concerns have intensified the need to understand the relationship between technological innovation, economic growth, and environmental degradation, particularly in rapidly industrializing economies. This study examines these relationships in Turkiye within the framework of the Environmental Kuznets Curve (EKC) hypothesis. Using annual data from 1984 to 2019, we employ Fourier-based econometric techniques, including unit root tests, cointegration analysis, and causality testing, to account for potential structural breaks and nonlinearities. Our findings reveal that while technological innovation currently contributes to increased carbon dioxide emissions, with a 1% increase in innovation leading to a 0.061% rise in environmental degradation, there exists an inverted U-shaped relationship between economic growth and environmental degradation, supporting the EKC hypothesis for Turkiye. Causality tests indicate unidirectional relationships flowing from environmental degradation to both technological innovation and economic growth. These results suggest that Turkiye requires strategic policy interventions focusing on green technologies and sustainable innovation to transition toward environmental sustainability while maintaining economic growth.Öğe Testing the Convergence Hypothesis for OECD Countries: RALS Panel Fourier SURADF Unit Root Test(Sosyoekonomi Soc, 2020) Yilanci, Veli; Canpolat-Gokce, EsraThe main aim of this study is to improve the SURADF panel unit root test of Breur et al. (2001) by considering structural breaks and the knowledge of non-normal distrubited residuals. Chang et al. (2012) introduce a new panel unit root test by allowing smooth structural breaks in SURADF test process. In this study, we also take into account of the information of the residuals that are nonnormally distrubited. We test the validity of stochastic convergence among 18 OECD countries using this newly suggested test and find supportive evidence of convergence for only seven countries.
