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This research explores the link between stock markets and banking deposits in South Asian (Pakistan, India, Sri Lanka, Nepal) countries. This study empirically examines the systemic risk potential of financial institutions in South Asia using current systemic risk statistics. Yearly data on stock prices and banking deposits from January 2000 to December 2020 were analyzed using a two-stage process. In the first phase, we measure VaR (value at risk), and in the second step, we measure the DCC GARCH model for our empirical analysis. The study findings reveal systemic risk spillover between the stock markets of South Asian countries and the relevant country's banking system deposits. The policymakers can use our study findings to create a more sustainable financial sector.
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Investimentos em Saúde , Investimentos em Saúde/economia , Humanos , Índia , Sri Lanka , Nepal , Comércio/economia , Modelos Econômicos , Paquistão , Conta Bancária , Risco , ÁsiaRESUMO
Since the end of the twentieth century, the world has observed a considerable upsurge in carbon emissions as several countries have surfaced as industrial centers and production monsters worldwide. The present study contributes to the existing literature examining the effects of carbon-based emissions, industrial value added, trade openness, transport services, railway lines, and globalization index on per capita GDP growth in China. The study covers a period of 40 years, from 1982 to 2021, introducing the impact of railway transport on GDP growth in contemporary environmental empirics. A vector error correction model (VECM) was applied to achieve the study's envisaged objectives. The findings of this study reveal that carbon emissions are responsible for the reduction of per capita GDP growth in China. On the contrary, industrial value added, transport services, railway lines, and globalization index positively support the per capita GDP growth-dependent variable. The study proposes that pragmatic policies are needed to control pollution resulting from carbon emissions. The eventual effect of maintaining greenhouse gases is expected to assist in achieving sustainable growth of per capita GDP leading to the accomplishment of sustainable development goals in the economy.
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The current study looks at the causes of carbon dioxide (CO2) emissions by considering the implications of remittances in the presence of economic growth, financial development, and energy consumption in the case of selected four G-20 economies over the period 1990-2019. This study first uses the dynamic simulated ARDL model to stimulate, estimate, and plot to predict graphs of negative and positive changes occurring in the variables along with their short-run and long-run relationships. Results of the ARDL bounds test confirm a long-term relationship among remittances, financial development, economic growth energy consumption, and CO2 emissions. Furthermore, the error correction model (ECM) also confirms the long-run relationship among CO2 emissions, remittances, financial development, economic growth, and energy use. The results of a novel dynamic simulated ARDL disclosed that financial development is completely connected to CO2 emissions in Mexico and India in the long run. On the other hand, results confirm that there is a positive relationship between remittances and CO2 emissions in the case of Australia, Germany, and India, but this relationship is insignificant with CO2 emissions in the case of Mexico. The result further disclosed that renewable energy exerts a significant impact on CO2 in Australia, Mexico, India, and Germany in the long run while remittances wield a significant impact on CO2 emissions in Australia, Mexico, and India. Moreover, the findings concluded that GDP has significant nexus with CO2 in the long run in the case of Australia, Mexico, and Germany. This study uses up new visions for the economies of G-20 countries to sustain financial and economic growth by protecting the environment from pollution through its efficient national environmental policy, fiscal policy, and monetary policy.
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Dióxido de Carbono , Desenvolvimento Econômico , Dióxido de Carbono/análise , Política Ambiental , Poluição Ambiental , Energia RenovávelRESUMO
We investigate the impact of renewable energy and green practices (RE), transportation services and infrastructure (T.S.), GDP growth (GDP), and forestry and natural resources (AFF) on the sustainable tourism development in the Eastern European Countries (EECs). The study employed cross-sectional dependence and and CIPS unit root test to check stationarity along with the dynamic common correlated effect (DCCE) model proposed by Chudik and Pesaran (2015) to test parameters for ensuring robustness. The outcome of DCCE method suggests that renewable energy (RE), Transport Services (T.S.), Agriculture, Forestry and Fishing (AFF), and economic growth (GDP) have a significantly positive impact on international tourism in the sampled countries of Europe. Our findings could be insightful for policymakers and understanding the impact of renewable energy and transportation services on tourism development, and thereby help in taking appropriate policy measures in the sampled countries.