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    Analysis of the relationship between tourism, green technological innovation and environmental quality in the top 15 most visited countries: evidence from method of moments quantile regression
    (Springer, 2024) Avci, Pinar; Sarigul, Sevgi Sumerli; Karataser, Busra; Cetin, Murat; Aslan, Alper
    Global warming, climate change and environmental pollution are considered among the important developments that threaten all world economies. In this context, the transition to a zero-emission economy remains one of the environmental sustainability goals of policymakers. The literature investigating the tourism-environmental pollution relationship has limited emphasis on the role of green technological innovation. Therefore, this study explores the effect of tourism and green technological innovation on CO2 emissions in top 15 most visited countries during the period of 1995-2019. Renewable energy consumption, financial development and economic growth are integrated into the CO2 emissions equation as control variables. The cointegration tests verify the existence of a cointegration between variables. The long-run estimaters reveal that tourism, green technological innovation and renewable energy consumption serve to improve environmental quality by reducing CO2 emissions. Contrary to these findings, financial development and economic growth play a role in the increase of CO2 emissions implying a deterioration in environmental quality. The bootstrap causality analysis points to a bidirectional causality between tourism and CO2 emissions and between green technological innovation and CO2 emissions. The findings will make important contributions to policy makers in these countries in meeting their CO2 emissions reduction targets. Graphical AbstractThe long-run findings
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    Enterprise risk management and bankruptcy
    (IGI Global, 2023) Avci, Pinar; Sarigül, Sevgi Sümerli
    This study explains bankruptcy by talking about risk, risk types, and risk management and bankruptcy forecasting models. The studies in the literature are examined and explained as risk, danger, possibility of bad consequences, loss, or misfortune. Types of risks, purchasing power, interest rate, market, political, exchange rate, financial, industry, corporate bond, liquidity, taxation, reinvestment, country, dynamic, structural, conditional, customer, financial/regulatory, reputation/loss, corporate and interpretation risks are identified in the literature. The study explains bankruptcy as the situation that occurs when a business cannot obtain sufficient value to cover the costs of doing business. Finally, it is stated in this study that bankruptcy estimation methods, which are constructed with historical observations and evaluated with historical observations, are used to predict firms without failing. The findings, which are obtained by examining the literature, offer important contributions to company managers. © 2023, IGI Global. All rights reserved.
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    How do equity market performance and ict influence clean energy consumption in high-income countries?
    (IGI Global, 2023) Avci, Pinar
    The aim of this study is to examine whether equity market development and ICT affect clean energy consumption in 18 high-income countries during the period 1990-2015. In the analysis, firstly, the stationarity properties of the variables are tested with the CADF and CIPS tests. In the second stage, cointegration between the variables in the model is investigated by Westerlund, Kao, and Pedroni methods. In the next step, the long-run elasticities of the variables are estimated using the PCSE and FGLS methods. The causality between the variables is also determined by applying the Dumitrescu-Hurlin panel causality method. According to findings, cointegration between clean energy consumption and equity market development, ICT, economic growth, and CO2 emissions variables, which integrated at I(1) level, is proven. The long-term findings showed that the equity market, ICT, and economic growth encourage clean energy consumption of 18 high-income countries, and CO2 emissions also prevent them. In addition, there is bidirectional causality between clean energy consumption and other variables. © 2023 by IGI Global. All rights reserved.