Publications by authors named "Danish Iqbal Godil"

Tourism is one of the important factors that can affect the environmental and economic situation of any economy. This study investigates the relationship between tourist arrivals and CO2 emission in the top 20 tourist destinations using data from quarterly observations from 1995 to 2018. A unique technique via quantile-on-quantile regression and Granger causality in quantiles was used.

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An era of rapid changes in the technological and economic aspects of developing and developed countries can have detrimental extortions on the environment around the world. From the perspective of globalization, the rapid development and growth can reroute to enhance the interaction between people, organizations, and countries across the globe including China through the usage of information and communication technology which in turn contributes to the economic growth of one side, whereas on the other side, it affects the environmental quality. Referring to this aspect, this study is focused to inspect the link between information and communication technology, and globalization with the facets of degradation in the environment that as CO emission and ecological footprint by keeping the view of economic growth prospects as well via using the EKC hypothesis.

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This paper aims to validate the EKC hypothesis for BRICS countries, in the presence of natural resources, renewable energy, and globalization factors. FMOLS, DOLS, Method of Moments Quantile Regression (MMQR), and heterogeneous panel causality tests have been applied on the BRICS panel from 1990 to 2014. According to FMOLS and DOLS techniques, the EKC hypothesis does exist in BRICS countries in the presence of alternative energy resources and globalization, whereas quantile level analysis does not support globalization as a significant factor for environmental degradation.

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To boost the stability of economic and financial aspects along with the apprehensions for sustainability, it is important to promote the development of clean energy stocks around the globe. In the current research, the researchers have examined the impact of oil prices, coal prices, natural gas prices, and gold prices on clean energy stock using the autoregressive distribution lag (ARDL) approach from the year 2011 to the year 2020. The result of daily data analysis specifies that in the long as well as in the short run, gold prices, oil prices, and coal prices have a positive and significant effect on clean energy stock.

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The world faces a high alert of coronavirus disease 2019 (COVID-19), leading to a million deaths and could become infected to reach a billion numbers. A sizeable amount of scholarly work has been available on different aspects of social-economic and environmental factors. At the same time, many of these studies found the linear (direct) causation between the stated factors.

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The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread to more than 200 countries with a current case fatality ratio (CFR) of more than 2% globally. The concentration of air pollutants is considered a critical factor responsible for transmitting coronavirus disease among the masses. The photochemical process and coal combustions create respiratory disorders that lead to coronavirus disease.

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Without enhancing the quality of the environment, the goals of sustainable development remain unachievable. In order to minimize the damage to the planet, sustainable practices need to be considered. This study is conducted to identify some of the drivers behind the increasing sustainability issues and tried to investigate the impact of natural resources, financial development, and economic growth on the ecological footprint in Malaysia from the year 1980-2019 by utilizing the dynamic simulated autoregressive distribution lag approach.

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On the economic side, China has attained rapid development; yet, the ecological aspects pose threats to its sustainable development. The nexus between economic growth, natural resources, human capital, and financial development has an important inference for the environment, and therefore, this endeavor examines the influence of said variables on the ecological footprint in China via adopting the novel dynamic simulated ARDL approach by utilizing the data from 1985 to 2018. The outcomes of the analysis confirm that natural resources and financial development have a considerable positive short- and long-run relation with the ecological footprint.

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This study analyzes the relationship between globalization, energy consumption, and economic growth among selected South Asian countries to promote the green economy and environment. This study also finds causal association between energy growth and nexus of CO emissions and employed the premises of the EKC framework. The study used annual time series analysis, starting from 1985 to 2019.

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Adverse changes in environmental conditions due to unprecedented industrialization have been attracting the attention of policymakers, researchers, and activists. For developing nations like Pakistan, sustainability issues become even more severe because of unplanned growth and lack of resources. In this study, we have applied the QARDL model to analyze the impact of renewable energy, institutional quality, tourism, and GDP on the ecological footprint in Pakistan from 1995 to 2017.

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The aim of this research is to explore the association between financial development, research and development (R&D) expenditures, globalization, institutional quality, and energy consumption in India by using the quarterly data of 1995-2018. Quantile Autoregressive Distributed Lag (QARDL) approach is employed to examine the relationship. An application of the QARDL approach suggests that the R&D, financial development, globalization, and institutional quality significantly influence energy utilization in India.

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Sustainability concerns are increasing globally. Besides, in Pakistan, these concerns are increasing day by day due to lack of education as well as redundancy among human capital, depletion of natural resources and economic growth can lead to pose severe threats to the environment. To address this concern, this study examines the phenomena that in what way natural resources, human capital, and economic growth affect two important indicators i.

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This study is a scholarly effort to broaden the existing literature on the impact of transportation services, urbanization, and financial development on ecological footprints in Pakistan. Data used in this study covers the period of 39 years from 1980 to 2018. This study adopted the QARDL model to tackle the non-linear association of variables and test their long-run stability across the different quantiles.

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With the growing interest among researchers in analyzing the ecological footprint of any country, this study focuses on new dimensions to analyze the long-run and short-run asymmetric impact of tourism, financial development, and globalization on ecological footprint in Turkey by using Quantile Autoregressive Distributed Lag model for the period from 1986 to 2018. Further, the EKC hypothesis was also tested. The results show that tourism, globalization, and financial development are positively and significantly associated with the EFP.

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This study examines the association between transportation services (i.e., passenger and freight) and carbon emissions concerning the US economy.

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This novel research is an argumentative subject which was needed to be addressed and to fill this gap, the author examined the effect of financial development, information and communication technology, and institutional quality on CO2 emission in Pakistan by using quantile autoregressive distributed lag (QARDL) model. The data were obtained for the period from 1995Q1 to 2018Q4. In the long run, GDP and institutional quality have a positive impact on CO2 emission when this emission is already high, which shows that if the GDP and institutional quality increases, the CO2 emission also increases.

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