The relationship between growth, inequality, and poverty has been a moot point. On the one hand growth is considered central or the best course to reduce poverty (e.g. World Development Report 1990) with the preconditions that access to education, health, and social services are available to all by means of other policies. On the other hand, there is a realisation that growth, inequality, and poverty relations are non-linear, complex, and path dependent in their dynamics. An important point made in this context by Kuznets (1955) was the empirical finding of an inverted U (arch) shape relationship between growth and inequality which suggested that the inequality would increase with growth in the beginning, but will decline at higher levels of growth as the benefits of growth trickle down to lower income strata. This argument has been debated since then in the literature with empirical support gathered for and against this hypothesis. Recent theoretical literature on the issue tries to find the micro-foundations of the dynamical relations between these three variables (see for example, proceedings of the 5th ABCDE Annual (World) Bank Conference on Development Economics).

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This research looked at the effects of COVID-19 on a number of the world’s most important stock exchanges, as well as the empirical relation between the COVID-19 wave and stock market volatility. In order to plan proper portfolio diversification in international financial markets, researchers must examine COVID-19 anxiety in relation to stock market volatility. The stock market volatility connected with the COVID-19 pandemic was measured using AR(1)-GARCH(1,1). COVID-19 fear, according to our research, is the ultimate driver of public attention and stock market volatility. The findings show that throughout the pandemic, stock market performance and GDP growth both declined significantly due to average increases. Furthermore, a 1% increase in COVID-19 causes a 0.8% and 0.56% decline in stock return and GDP, respectively. The stock market, on the other hand, showed a slight movement in GDP growth. Furthermore, the COVID-19 pandemic reported cases index, death index, and global panic index all influenced public perceptions of purchasing and selling. As a result, rather than investing in stocks, it is recommended that you invest in gold. The research also makes policy recommendations for important stakeholders. We look to examine how stock returns respond dynamically to unanticipated changes in the COVID-19 scenarios, as well as the uncertainty that comes with a pandemic. Using daily data from Canada and the USA, we conclude that a spike in COVID-19 instances has a negative impact on the stock market in general. Furthermore, in both the increase and decline scenarios in Canada, the stock return reactions are asymmetric. The disparity is due to the unfavorable impact of the pandemic’s unpredictability. We also discovered that uncertainty had a negative impact on the US stock market. The magnitude, however, is insignificant.

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The purpose of this study is to understand the implications of the recent rollout (July 2017) of GST (Goods and Services Tax) in India on the MSME (Micro, Small, and Medium Enterprises) sector. The study comprises a series of qualitative face-to-face interviews which were followed up by a survey with Indian MSME owners. The study provides a multi-dimensional understanding of the gaps between the effect of the anticipated and existing GST regime for the MSMEs and the associated tax compliance. It identifies and assesses the inter-jurisdictional and other issues that are involved in GST implementation. There is scope to probe the means to enable the effective deployment of GST based on the findings of this study. The findings can also be used to develop guidelines for suitable implementation of the GST regime for the MSMEs operating in different sectors.