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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 Unemployment Hysteresis with Multi-Factor Panel Unit Root: Evidence from OECD Countries(Russian Acad Sciences, Ural Branch, Inst Economics, 2022) Konat, Gokhan; Coskun, Muhammet FatihHysteresis is a dominant feature of unemployment in numerous countries. According to the hysteresis hypothesis, it is a well-known fact that high unemployment may persist and remain an economic threat in the long run if policy measures are not taken. In this study, it is tested whether the unemployment rates for 10 selected countries of the Organisation for Economic Co-operation and Development (OECD) (Belgium, Canada, Czech Republic, Estonia, France, Japan, Netherlands, Spain, Britain and the USA) contain unit root or not, in other words, whether the hysteresis effect is valid for these countries. For this purpose, this study utilises the concept of the multi-factor panel unit root test proposed by Pesaran, Smith and Yamagata. This method measures cross-section dependence through factors. The test analyses whether the unit root is valid or not, using information about a sufficient number of additional explanatory variables. The characteristic of these additional variables is that they must share a common factor with the variable whose stationarity is tested. It is accepted that this common factor causes cross-sectional dependence. We have taken tax wedge, trade union density and minimum wage as factors that cause cross-sectional dependency and affect unemployment hysteresis. In this test developed by the authors, in the case of a multi-factor error structure, the test procedure is completed by using the information contained in 3 additional variables. The study explores not only the validity of unemployment hysteresis but also the factors that affect the rigidity of the unemployment rate. However, the research was unable to encompass the entire OECD countries and all times because of the lack of data. The results showed that the hysteresis is valid for 10 selected OECD countries.











