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    Nuclear energy consumption and CO2 emissions in India: Evidence from Fourier ARDL bounds test approach
    (Korean Nuclear Soc, 2022) Ozgur, Onder; Yilanci, Veli; Kongkuah, Maxwell
    This study uses data from 1970 to 2016 to analyze the effect of nuclear energy use on CO2 emissions and attempts to validate the EKC hypothesis using the Fourier Autoregressive Distributive Lag model in India for the first time. Because of India's rapidly rising population, the environment is being severely strained. However, with 22 operational nuclear reactors, India boasts tremendous nuclear energy potential to cut down on CO2 emissions. The EKC is validated in India as the significant coefficients of GDP and GDP.2 The short-run estimates also suggest that most environmental externalities are corrected within a year. Given the findings, some policy recommendations abound. The negative statistically significant coefficient of nuclear energy consumption is an indication that nuclear power expansion is essential to achieving clean and sustainable growth as a policy goal. Also, policymakers should enact new environmental laws that support the expansion and responsible use of nuclear energy as it is cleaner than fossil fuels and reduces the cost and over-dependence on oil, which ultimately leads to higher economic growth in the long run. Future research should consider studying the nonlinearities in the nuclear energy-CO2 emissions nexus as the current study is examined in the linear sense. (c) 2021 Korean Nuclear Society, Published by Elsevier Korea LLC. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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    THE DEPENDENCE OF CLEAN ENERGY STOCK PRICES ON THE OIL AND CARBON PRICES: A NONLINEAR PERSPECTIVE
    (Editura Ase, 2022) Yilanci, Veli; Ozgur, Onder; Altinsoy, Abdulkadir
    Climate change, rising environmental concerns increased scholar's awareness of the complex ties between clean energy stock prices and various environmental indicators. A clearer understanding of the potential ties between indicators and clean energy stock prices is critical for determining the financial performance of clean energy companies. This study adds to the literature by testing the existence of the long-run relationship between clean energy stock prices, and oil prices, carbon prices, technology stock prices, and interest rates by considering nonlinearity in the context of a structural change. The results show the existence of the cointegration relationship. The results of long-run estimation show that before the structural break date, technology stock prices, oil prices, and interest rates positively affect clean energy stock prices, and after this date, the effects of carbon prices and interest rates are reversed. Our results present some implications for both investors and policymakers.
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    Unemployment and Labour Force Participation in South Korea: Johansen-Type Cointegration Analysis with a Fourier Approach
    (Prague Univ Economics And Business, 2024) Yilanci, Veli; Ozgur, Onder
    This study examines the long-run relationship between the unemployment rate and labour force participation rate in South Korea from June 1999 to January 2023. The study utilizes the traditional Johansen cointegration test and augments it with Fourier terms to control for an unknown number of breaks in the cointegration system. The empirical findings suggest a significant long-run relationship between the unemployment rate and labour force participation rate in South Korea, which provides evidence against the unemployment invariance hypothesis. The study also finds evidence of the discouraged-worker effect for males and the added-worker effect for females. The findings of this study have important implications for policymakers in creating more effective plans to lower unemployment and foster economic growth in South Korea. This study contributes to the literature by clarifying the validity of the unemployment invariance hypothesis in the South Korean economy, which is regarded as a growth miracle in the literature. Instead of using the standard configuration of dummy variables, the Johansen cointegration technique now has the ability to adjust for an unknown number of multiple structural breaks in the cointegration system.