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Öğe Convergence of aggregate and sectoral nitrogen oxides in G7 countries for 1750-2019: Evidence from a new panel Fourier threshold unit root test(Elsevier Ltd, 2021) Solarin, Sakiru Adebola; Yılancı, Veli; Gorus, Muhammed SehidOne of the major pollutants in the atmospheric space is nitrogen oxide (NOx) emissions is, and industrialized countries are responsible for a substantial share of this air pollutant at the global level. Among developed countries, G7 countries (Canada, France, Germany, Italy, Japan, UK, and the US) were responsible for 12% of the global nitrogen oxide emissions in 2019. Nitrogen oxide emissions increased by almost 280 times between 1750 and 2019 in this set of countries. For this reason, this study concentrates on this group of countries. Besides, it is rational to test the convergence of NOx emissions at the sectoral level for designing effective environmental policies. Therefore, this paper aims to explore the convergence pattern of aggregate and sectoral NOx emission levels in G7 countries covering long-span data, from 1750 to 2019. Agriculture, energy production, industry, residential-commercial-other (RCO), transport, and waste are the main sectors where nitrogen oxides are emitted from. For this purpose, we utilize the panel Fourier threshold unit root test, which allows for the possibility of nonlinearity in the series. Besides, the test is able to capture gradual structural changes through the Fourier approximation. The empirical results derived from the analysis indicate that all the nitrogen oxide series have nonlinear behavior. In addition, this study highlights that the convergent behavior of sectoral nitrogen oxide displays at least partial convergence for the countries examined. Besides, global (full) convergence is confirmed for agriculture, energy production, and transport sectors for the period studied. According to the empirical findings, it can be said that policymakers in G7 countries should prioritize the emission allocation policies.Öğe Feverish sentiment, lockdown stringency, oil volatility, and clean energy stocks during COVID-19 pandemic(Emerald Group Publishing Ltd, 2022) Solarin, Sakiru Adebola; Gorus, Muhammed Sehid; Yilanci, VeliPurpose - This study seeks to investigate role of the coronavirus disease 2019 (COVID-19) pandemic on clean energy stocks for the United States for the period 21 January 2020-16 August 2021. Design/methodology/approach - At the empirical stage, the Fourier-augmented vector autoregression approach has been used. Findings - According to the empirical results, the response of the clean energy stocks to the feverish sentiment, lockdown stringency, oil volatility, dirty assets, and monetary policy dies out within a short period of time. In addition, the authors find that there is a unidirectional causality from the feverish sentiment index and the lockdown stringency index to the clean energy stock returns; and from the monetary policy to the clean energy stocks. At the same time, there is a bidirectional causality between the lockdown stringency index and the feverish sentiment index. The empirical findings can be helpful to both practitioners and policy-makers. Originality/value - Among the COVID-19 variables used in this study is a new feverish sentiment index, which has been constructed using principal component analysis. The importance of the feverish sentiment index is that it allows us to examine the impact of the aggregate level of fear in the economy on clean energy stocks.Öğe Stochastic convergence of nitrogen oxides by fuel for OECD countries covering 1820-2019(Sage Publications Ltd, 2023) Solarin, Sakiru Adebola; Yilanci, Veli; Gorus, Muhammed SehidAddressing the challenges posed by pollutants is necessary to achieve the Sustainable Development Goals (SDGs) target 12 or achieve sustainable production and consumption patterns. Convergence assessment of air pollution provides information which can be beneficial to how to handle that air pollution across different countries. Nitrogen oxides (NOx) are one of the most popular air pollutants. However, the current empirical literature on environmental economics largely ignores the convergence of per capita NOx. For this reason, this study investigates the stochastic convergence of aggregate and fuel-specific per capita NOx emissions in 20 OECD countries. This paper employs a recently introduced panel stationarity test that considers both smooth and sharp structural changes in the data generation process. The panel results show that the convergence hypothesis is rejected only for NOx from light-oil consumption. However, country-specific results reveal substantial evidence for divergence in the sample countries when NOx emissions per capita generated through diesel consumption, light-oil consumption, and natural gas consumption are considered. Besides, we find that most of the series have convergent behaviour for aggregate NOx, NOx from biomass consumption, NOx from hard-coal consumption, NOx from heavy-oil consumption, and NOx from the process. The policy implications of the empirical results for proper environmental management are elucidated in the paper. Actions taken based on the convergence findings will likely lead to a decrease in NOx emissions per capita as the countries will converge towards a lower level of NOx emissions per capita, in line with SDG's target 12.