How external debt led to economic growth in South Asia: A policy perspective analysis from quantile regression

Increasing environmental degradation has forced policymakers to include sustainability in the economic growth agenda. Green finance has attracted the attention of policymakers and the industry, but the impact of green finance on social and environmental sustainability has not been confirmed. This study uses the panel data of 34 Chinese provinces to investigate the relationship between green finance and environmental degradation. The fuzzy set qualitative comparative analysis (fsQCA) method is utilized to analyze the mixed effect of green finance on CO 2 emissions. These factors include green innovation, green insurance, green investment, and industrial structure. The results show that exogenous demand factors, including green insurance and industrial structure, have auxiliary effects when endogenous demand factors, including green investment and green innovation, exist as the core antecedent conditions among green finance and environmental degradation. Finally, the policymakers should encourage financial technology to actively participate in environmental protection initiatives that promote green consumption while minimizing the systemic risks caused by financial technology.

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Influence analysis of green finance development impact on carbon emissions: an exploratory study based on fsQCA

Xiong

Sun

2022

“…Investors and portfolio managers faced unprecedented challenges because of this catastrophic event. As a result, they're forced to embark on a perilous journey to adopt new investment strategies that could boost profits while lowering risk (Mohsin et al, 2021) and (Agyekum et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Assessing Financial Risk Spillover and Panic Impact of Covid-19 on European and Vietnam Stock market

Moslehpour

Al-Fadly

Ehsanullah

et al. 2022

This study examined the influence of tail risks on global financial markets, which aids in better understanding of the emergence of COVID-19. This study looks at the global and Vietnamese stock markets impacted by the COVID-19 pandemic to identify systemic emergencies. Risk dependent value (CoVaR) and Delta link VaR are two important tail-related risk indicators used in Conditional Bivariate Dynamic Correlation (DCC) (CoVaR). The empirical findings demonstrate that when COVID-19's worldwide spread widens, the volatility transmission of systemic risks across the global stock market and multiple exchanges shifts and becomes more relevant over time. At the time of COVID-19, the world industrial market was larger than the Vietnamese stock market, and the Vietnamese stock market posed a lesser danger to the global market. A closer examination of the link between the Vietnam value-at-risk (VaR) range index sample and the world stock index indicates a significant degree of downside risk integration in key monetary systems, particularly during the COVID-19 era. Our study findings may help regulators, politicians, and portfolio risk managers in Vietnam and worldwide during the unique moment of uncertainty created by the COVID-19 epidemic.

“…Poverty in Vietnam is a multifaceted phenomenon and thus is driven by a wide range of factors (Mohsin et al 2021 ). According to the economic definition of poverty, a person is considered poor if they are unable to maintain a subsistence level of living (Neaime and Gaysset 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Assessing the Relationship between Poverty and Economic Growth: Does Sustainable Development Goal Can be Achieved?

Zhu

Bashir

Marie

2022

Income inequality, poverty, and economic growth are defined as an economy's exposure to exogenous shocks arising out of poverty. The study used various econometric estimations to measure the effect of inequality and poverty on economic development during 1990 to 2016 in Vietnam. Various econometric estimation tests confirmed the presence of a long-run association between inequality and poverty, and economic growth is the matter of poverty headcount ratio in Vietnam. When we added the investment-to-GDP ratio and the number of years in education, it decreases by -0.144. This is reduced to -0.05 when log population growth rate was added while the employment, the coefficient decreases to -0.04 and becomes statistically insignificant. We found a negative impact of poverty and we reassess the hypothesis's emphasis on inequality and poverty and their combining effect of inclusive economic growth. Interestingly our results verify the previous findings that inequality and poverty show a negative impact on economic growth. The negative impact of poverty and inequality on economic growth appears to be concentrated at the high poverty level. These findings recommend that poverty reduction policies should be beneficial in encouraging economic growth even if they do not decrease income inequality.