The Experts below are selected from a list of 32382 Experts worldwide ranked by ideXlab platform
Arshian Sharif - One of the best experts on this subject based on the ideXlab platform.
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the role of tourism and renewable energy in testing the environmental kuznets curve in the brics countries fresh evidence from methods of moments quantile regression
Environmental Science and Pollution Research, 2020Co-Authors: Noshaba Aziz, Arshian Sharif, Leonardus W W Mihardjo, Kittisak JermsittiparsertAbstract:BRICS are among the rising nations which drive economic growth by excessive utilization of resources and resulting in environment degradation. Although there is bulk of research on environmental Kuznets curve (EKC), very limited studies explored the scope in context of tourism in BRICS countries. So this research is conducted to explore the association of tourism, renewable energy, and economic growth with carbon emissions by using annual data of BRICS countries from the year 1995 to 2018. By using the recent approach of method of moments quantile regression (MMQR), the finding shows that tourism has stronger significant negative effects from 10th to 40th quantile while the effects are insignificant at remaining Quantiles. Furthermore, an inverted U-shape EKC curve is also apparent at all Quantiles excluding 10th and 20th Quantiles. For renewable energy, the results are found negatively significant across all Quantiles (10th-90th) which claim that CO2 emission can be reduced by opting renewable sources. Hence, the empirical results of the current study provide insights for policymakers to consume renewable energy sources for the sustainable economic growth and solution of environmental problems.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from quantile on quantile regression approach
Renewable Energy, 2020Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990 to 2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou [1] and Granger causality in Quantiles developed by Troster [2] are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
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revisiting the role of renewable and non renewable energy consumption on turkey s ecological footprint evidence from quantile ardl approach
MPRA Paper, 2020Co-Authors: Arshian Sharif, Ozge Baristuzemen, Gizem Uzuner, Ilhan Ozturk, Avik SinhaAbstract:The current study re-investigates the impact of renewable and non-renewable energy consumption on Turkey’s ecological footprint. This study applies Quantile Autoregressive Lagged (QARDL) approach for the period of 1965Q1-2017Q4. We further apply Granger-causality in Quantiles to check the causal relationship among the variables. The results of QARDL show that error correction parameter is statistically significant with the expected negative sign for all Quantiles which confirm an existence of significant reversion to the long-term equilibrium connection between the related variables and ecological footprint in Turkey. In particular, the outcomes suggested that renewable energy decrease ecological footprint in long-run on each quantile. However, the results of economic growth and non-renewable energy impact positively to ecological footprint in long-short run period at all Quantiles. Finally, we tested the Environmental Kuznets Curve (EKC) hypothesis and the results of QARDL confirmed the EKC in Turkey. Furthermore, the findings of causal investigation from Granger-causality in Quantiles evident the presence of a bi-directional causal relationship between renewable energy consumption, energy consumption and economic growth with ecological footprint in the Turkish economy.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from quantile on quantile regression approach
MPRA Paper, 2019Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This empirical examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990-2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou (2015) and Granger causality in Quantiles developed by Troster (2018) are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
Muhammad Shahbaz - One of the best experts on this subject based on the ideXlab platform.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from quantile on quantile regression approach
Renewable Energy, 2020Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990 to 2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou [1] and Granger causality in Quantiles developed by Troster [2] are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from quantile on quantile regression approach
MPRA Paper, 2019Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This empirical examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990-2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou (2015) and Granger causality in Quantiles developed by Troster (2018) are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
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does inflation cause gold market price changes evidence on the g7 countries from the tests of nonparametric quantile causality in mean and variance
Applied Economics, 2018Co-Authors: Mehmet Balcilar, Muhammad Shahbaz, Zeynel Abidin Ozdemir, Serkan GunesAbstract:This paper utilises the newly proposed nonparametric causality-in-Quantiles test to examine the predictability of mean and variance of changes in gold prices based on inflation for G7 countries. The causality-in-Quantiles approach permits us to test for not only causality in mean but also causality in variance. We start our investigation by utilising tests for nonlinearity. These tests identify nonlinearity, showing that the linear Granger causality tests are subject to misspecification error. Unlike tests of misspecified linear models, our nonparametric causality-in-Quantiles tests find causality in mean and variance from inflation to gold market price changes between the 0.20 quantile and the 0.70 quantile, implying that very low- and high- price changes in gold markets are not related to inflation. These changes should be related to other sources, such as financial shocks and exchange market shocks. We find support that gold serves as a hedge against inflation, but only in the mid-quantile ranges, i.e., Quantiles from 0.20 to 0.70. Our results show that gold does not serve as a hedge against inflation during periods when gold market price changes are very low or very high, which are respectively quiet and highly volatile periods.
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distribution specific dependence and causality between industry level u s credit and stock markets
Journal of International Financial Markets Institutions and Money, 2018Co-Authors: Syed Jawad Hussain Shahzad, Walid Mensi, Shawkat Hammoudeh, Mehmet Balcilar, Muhammad ShahbazAbstract:This paper examines the dependence and causal nexuses between ten U.S. credit default swaps and their corresponding stock sectoral markets, using the Quantile-on-Quantile (QQ) approach and the nonparametric causality-in-Quantiles tests. The results, using the QQ approach, show asymmetric negative association between credit and markets for all industries and that the link depends on both the sign and size of the stock market shocks (i.e., bullish or bearish conditions in the CDS and/or stock markets). The sensitivity of CDS returns to stock markets shocks is higher in the extreme Quantiles. Using the nonparametric causality-in-quantile tests, we find evidence of causality-in-mean from stock to CDS only for the Financial (in average and upper Quantiles), Consumer Services and Oil & Gas sectors (only for the middle quantile i.e., 0.5). In addition, the causality-in-mean from the CDS to stock markets is only found for the Financial and Telecommunication sectors in the extreme lower Quantiles. Finally, we find a bidirectional Granger causality-in-variance for all the CDS-equity sector pairs.
Sahar Afshan - One of the best experts on this subject based on the ideXlab platform.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from quantile on quantile regression approach
Renewable Energy, 2020Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990 to 2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou [1] and Granger causality in Quantiles developed by Troster [2] are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from quantile on quantile regression approach
MPRA Paper, 2019Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This empirical examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990-2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou (2015) and Granger causality in Quantiles developed by Troster (2018) are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
Avik Sinha - One of the best experts on this subject based on the ideXlab platform.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from quantile on quantile regression approach
Renewable Energy, 2020Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990 to 2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou [1] and Granger causality in Quantiles developed by Troster [2] are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
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revisiting the role of renewable and non renewable energy consumption on turkey s ecological footprint evidence from quantile ardl approach
MPRA Paper, 2020Co-Authors: Arshian Sharif, Ozge Baristuzemen, Gizem Uzuner, Ilhan Ozturk, Avik SinhaAbstract:The current study re-investigates the impact of renewable and non-renewable energy consumption on Turkey’s ecological footprint. This study applies Quantile Autoregressive Lagged (QARDL) approach for the period of 1965Q1-2017Q4. We further apply Granger-causality in Quantiles to check the causal relationship among the variables. The results of QARDL show that error correction parameter is statistically significant with the expected negative sign for all Quantiles which confirm an existence of significant reversion to the long-term equilibrium connection between the related variables and ecological footprint in Turkey. In particular, the outcomes suggested that renewable energy decrease ecological footprint in long-run on each quantile. However, the results of economic growth and non-renewable energy impact positively to ecological footprint in long-short run period at all Quantiles. Finally, we tested the Environmental Kuznets Curve (EKC) hypothesis and the results of QARDL confirmed the EKC in Turkey. Furthermore, the findings of causal investigation from Granger-causality in Quantiles evident the presence of a bi-directional causal relationship between renewable energy consumption, energy consumption and economic growth with ecological footprint in the Turkish economy.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from quantile on quantile regression approach
MPRA Paper, 2019Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This empirical examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990-2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou (2015) and Granger causality in Quantiles developed by Troster (2018) are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
Zhilun Jiao - One of the best experts on this subject based on the ideXlab platform.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from quantile on quantile regression approach
Renewable Energy, 2020Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990 to 2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou [1] and Granger causality in Quantiles developed by Troster [2] are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from quantile on quantile regression approach
MPRA Paper, 2019Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This empirical examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990-2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou (2015) and Granger causality in Quantiles developed by Troster (2018) are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
