Publications by authors named "Sahar Afshan"

This study examines the effects of energy resources in the form of clean and unclean energy on the economic progress of 30 selected developed economies. This study used data from 1990 to 2020 and it employs the CS-ARDL method to obtain results. The results present that both clean and unclean energy significantly stimulate economic progress.

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Article Synopsis
  • The study explores how uncertainty in climate policies affects currency valuations in ASEAN countries, connecting it to economic policy uncertainty and geopolitical risks.
  • Using wavelet analysis from 2000 to 2022, it shows that climate policy uncertainty significantly influences exchange rate movements and exacerbates other uncertainties.
  • The paper recommends implementing national climate risk management frameworks, improving policy credibility, and promoting regional integration to stabilize economies and currencies against these uncertainties.
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The BRICS nations-Brazil, Russia, India, China, and South Africa-have grown significantly in importance over the past few decades, playing a vital role in the development and growth of the global economy. This expansion has not been without cost, either, since these countries' concern over environmental deterioration has risen sharply. Both researchers and decision-makers have focused a lot of attention on the connection between economic growth and ecological sustainability.

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The foremost purpose of the study is to establish a point that an economy of G-7 countries has an abundance of resources to tackle the environmental changes that occur in the world, but these countries are still behind the line because in this modern era, environmental performance changes their shape, dimension, and nature very frequently and create a huge impact on globalization of world economy. To fill this gap, we use green investment, institutional quality, and economic growth on environmental performance for this, we use four proxies for green investment and three proxies for greenhouse gas, and we also use six proxies of institutional quality to do this using period of 1997 to 2021. Moreover, we have used the panel nonlinear autoregressive distributed lag method to evaluate the long-run and short-run asymmetric effects of green investment, institutional quality, and economic growth on greenhouse gas emissions.

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Energy is one of the prime factors in influencing the sustainable development of a country. Different energy sources play important roles in driving the income growth of different economic sectors such as industrial, agricultural, and services. Fossil fuels, however, have come under strong criticism for actively accelerating climate change.

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Environmental sustainability is an umbrella approach depending on various climatic and economic policies. In doing so, the current study empirically evaluates the role of green finance, eco-innovation, and environmental policy stringency on the ecological footprint in China. To meet the objectives, the novel quantile autoregressive distributed lag (QARDL) approach was employed from 2000 to 2017.

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Equity markets are prone to several external factors, especially in the lethal pandemic situation when the uncertainty regarding the spread of the COVID disrupts the daily financial and economic activities along with the sharp decline in the oil price causing severe devastations to people not just in terms of life and health but also in the form of finance. Therefore, to assess the presence of empirical association of the oil price, Covid-19, and news-based uncertainty with the equity market condition, the method of QARDL was applied in the current investigation. The results revealed that the relationship of OIL was found to be positive and significant across all of the quantiles of the Stock Price Index (SPI); news-based uncertainty was found to be negative and significant across all of the quantiles of SPI, whereas COVID19 has the negative and significant impact on SPI only in the bearish and stable market conditions.

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Given the alarming deterioration of the environment, the present analysis investigates the role of eco-innovation, natural resources and financial development in influencing the environmental degradation of China. Applying the novel method of quantile ARDL, the current research is beneficial in portraying the dependence patterns of the variables with special emphasis on the nexus of eco-innovation and ecological footprint across numerous quantiles of the distribution which has not been examined so far in the literature. The empirical findings reveal that in the long run, eco-innovation reduces the level of ecological deterioration in China across all quantiles.

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Article Synopsis
  • The main goal of renewable energy development in the USA is to lower CO emissions by reducing fossil fuel dependence over the coming decades.* -
  • This study employs quantile-on-quantile regressions to explore how different renewable energy sources impact CO emissions from 1995 to 2017, finding that various renewables consistently reduce emissions, especially at lower quantiles.* -
  • The research highlights the need for targeted renewable energy policies that consider the distinct effects of each energy type to effectively reduce CO emissions throughout the country.*
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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 paper uses the quantile autoregressive distributed lag (QARDL) model to analyze the impact of economic growth, tourism, transportation, and globalization on carbon dioxide (CO) emissions in the Malaysian economy. The QARDL model is employed utilizing quarterly data from 1995Q1 to 2018Q4. The results demonstrate that economic growth is significantly positive with CO emissions at lower to upper quantiles.

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Globalization persists the tendency to alter numerous aspects of today's world including religion, transport, language, living styles, and international relations; however, its potential to influence quality of environment is the prime concern for trade and environmental policies guidelines (Audi and Ali 2018). In response to the growing interest for identifying the dynamic relationship between globalization and environmental performance, the present study seeks to investigate the critical link between globalization and ecological footprints in top 15 globalized countries between 1970 and 2016. Applying the novel methods of quantile-on-quantile regression (QQ) and Granger causality in quantiles, the findings examine the manners in which quantiles of globalization affect the quantiles of ecological footprints and vice versa.

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