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COVID-19 has severely impacted the society not only in terms of health but also in terms of economic survival of individuals. Unless adequate support is provided, the pandemic will have long-lasting effects, especially on the lives of the most vulnerable, often working in the informal sector. In this article, we present a case study drawing on systems thinking and complexity theory, outlining how the city of Mumbai has responded to COVID-19. We find a multifaceted scenario where non-profit organizations, businesses and citizen volunteers operate alongside government bodies to support Mumbai's population to overcome this pandemic. We provide broader policy lessons, as well as more specific lessons in relation to particular actors, from the first wave of the pandemic stressing the importance of becoming 'systems thinkers' and highlighting the importance of forming new partnerships and exploring new modes of knowledge sharing to effectively respond to crises.

COVID-19 has severely impacted the society not only in terms of health but also in terms of economic survival of individuals. Unless adequate support is provided, the pandemic will have longlasting effects, especially on the lives of the most vulnerable, often working in the informal sector. In this article, we present a case study drawing on systems thinking and complexity theory, outlining how the city of Mumbai has responded to COVID-19. We find a multifaceted scenario where non-profit organizations, businesses and citizen volunteers operate alongside government bodies to support Mumbai's population to overcome this pandemic. We provide broader policy lessons, as well as more specific lessons in relation to particular actors, from the first wave of the pandemic stressing the importance of becoming 'systems thinkers' and highlighting the importance of forming new partnerships and exploring new modes of knowledge sharing to effectively respond to crises.

This paper presents the results of a meta-regression analysis of the relationship between government spending and income poverty, with a focus on low- and middle-income countries. Through a comprehensive search and screening process, we identify a total of 19 cross-country econometric studies containing 169 estimates of this relationship. We find that the size and direction of the estimated relationship are affected by a range of factors, most notably the composition of the sample used for estimation, the control variables included in the regression model, and the type of government spending. Overall, we find no clear evidence that higher government spending has played a significant role in reducing income poverty in low- and middle-income countries. This is consistent with the view that fiscal policy plays a much more limited redistributive role in developing countries, in comparison with OECD countries. In addition, we find that the relationship between government spending and poverty is on average less negative for countries in Sub-Saharan Africa, and more negative for countries in Eastern Europe and Central Asia, compared to other regions. We also find that the relationship is less negative for government consumption spending, in comparison with other sectors. Finally, we find some evidence indicating the possibility of publication bias.