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The results show that the two are basically the same. Therefore, it can be seen that the proposed research method has significant effects and has certain reference value for studying the shock effect of the epidemic on the financial system.This study investigates the water - electricity consumption in the context of the COVID-19 pandemic across six socioeconomic sectors. Due to inadequate research on spatial modelling of water - electricity consumption in the context of the COVID-19 pandemic, this study investigated geographical block-level variation in water and electricity consumption in Doha city of Qatar. Spatial analyses were performed to investigate the spatial differences in each sector. Five geospatial techniques in a Geographical Information System (GIS) context were used in the study. Moran's I, Anselin Local Moran's I, and Getis-Ord G i ∗ statistics tools were used to identify the hot spots and cold spots of water and electricity consumption in each sector. Furthermore, Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) models were employed to investigate the spatial relationship between water and electricity consumption during the pandemic year. The findings show that there is a distinction in water and electriclined in the industrial and commercial sector due to the curtailment in production, economic activities, and reduction in people's mobility. Mapping the hot spot blocks and the blocks with high relationship between water and electricity consumption could provide useful insight to decision-makers for targeted interventions.Slum settlements have received significant attention for their vulnerabilities to the spread of Covid-19. To mitigate risks of transmission, and alleviate economic distress associated with containment measures, public health experts and international agencies are calling for community-driven solutions that harness local participation. In slum settlements, such approaches will encounter the informal slum leaders present across cities of the Global South. How are slum leaders positioned to address the health and livelihood threats of the pandemic within their neighborhoods? What problem-solving activities, if any, have they performed for residents during the pandemic? What factors shape success in those efforts? To answer these questions, we conducted a phone survey of 321 slum leaders across 79 slum settlements in two north Indian cities. The survey was conducted in April and May 2020, at the height of India's stringent national lockdown in response to the virus. Our survey reveals striking continuities with pre-pandemic politics. selleck kinase inhibitor First, slum leaders persist in their problem-solving roles, even as they shift their efforts towards requesting urgently needed government relief (particularly food rations). Second, slum leaders vary in their reported ability to gather information about relief schemes, make claims, and command government responsiveness. The factors that inform the effectiveness of slum leaders during 'normal times', notably their education and degree of embeddedness in party networks, continue to do so during the lockdown. Slum leader reliance on partisan networks raises concerns regarding the inclusiveness of their efforts. Finally, slums are not uniformly challenged in maintaining social distancing. Pre-pandemic disparities in infrastructural development fragment the degree to which residents must depart from social distancing guidelines to secure essential services.At the onset of the Covid-19 pandemic South Africa was praised for decisive political leadership based on scientific advice and the strictness of the measures it imposed to limit domestic spread of the virus. This paper critically examines the South African response through two conceptual frameworks. The first frames an optimal policy response as a solution to an intertemporal welfare-optimisation problem. The need for governments to balance epidemiological considerations and public health measures with the negative consequences of non-pharmaceutical interventions to limit transmission is particularly acute in developing countries. The second considers the use of scientific evidence and expertise through the lens of scientism - undue deference to science. The South African government erred towards drastic action in the face of predictions by some scientific advisors of a catastrophe, but initially without a clear, public long-term plan. Its lockdown has caused serious economic and societal harm across a rangeheless observing basic social distancing precautions.The economic crisis triggered by COVID-19 has caused a world-wide economic downturn, and the deepest GDP contraction in Latin America since the beginning of the XX th century. One of the most dramatic outcomes of the crisis is the increase in poverty, but its extent will remain unknown until household income data is collected and analyzed. We propose a simple approach to provide early estimates, micro-simulating the short-run effect of the crisis on the poverty rate. It combines household level micro-data, estimates on the feasibility of working from home, information on key public policies (e.g., cash-transfers, unemployment insurance), and forecasts of GDP contraction. This approach, which can be easily adapted and applied to different countries, allows to nowcast the current poverty level and the poverty-reducing effect of public policies, while providing full micro-macro consistency between heterogeneous impacts on households and the shock to aggregate GDP. Moreover, it enables to estimate the effect on informal and self-employed workers, of utmost importance in developing countries. We illustrate the methodology with an application for Uruguay, finding that during the first full trimester of the crisis, the poverty rate grew by more than 38%, reaching 11.8% up from 8.5%. Moreover, cash transfers implemented by the government in the period had a positive but very limited effect in mitigating this poverty spike, which could be neutralized with additional transfers worth under 0.5% of Uruguay's annual GDP.We evaluate the connection between corporate characteristics and the reaction of stock returns to COVID-19 cases using data on more than 6,700 firms across 61 economies. The pandemic-induced drop in stock returns was milder among firms with stronger pre-2020 finances (more cash and undrawn credit, less total and short-term debt, and larger profits), less exposure to COVID-19 through global supply chains and customer locations, more corporate social responsibility activities, and less entrenched executives. Furthermore, the stock returns of firms controlled by families (especially through direct holdings and with non-family managers), large corporations, and governments performed better, and those with greater ownership by hedge funds and other asset management companies performed worse. Stock markets positively price small amounts of managerial ownership but negatively price high levels of managerial ownership during the pandemic.This paper investigates the switching effect of COVID-19 pandemic and economic policy uncertainty on commodity prices. We employ Markov regime-switching dynamic model to explore price regime dynamics of eight widely traded commodities namely oil, natural gas, corn, soybeans, silver, gold, copper, and steel. link2 We fit two Markov switching regimes to allow parameters to respond to both low and high volatilities. The empirical evidence shows oil, natural gas, corn, soybean, silver, gold, copper, and steel returns adjust to shocks in COVID-19 outcomes and economic policy uncertainty at varying degrees--in both low volatility and high volatility regimes. In contrast, oil and natural gas do not respond to changes in COVID-19 deaths in both regimes. The findings show most commodities are responsive to historical price in terms of demand and supply in both volatility regimes. Our findings further show a high probability that commodity prices will remain in low volatility regime than in high volatility regime--owing to COVID-19-attributed market uncertainties. These findings are useful to both investors and policymakers--as precious metals and agricultural commodities show less negative response to exogenous variables. Thus, investors and portfolio managers could use precious metals, viz. Gold for short-term cover against systematic risks in the market during the period of global pandemic.Adverse ecological effects have recently generated several eco-friendly investment opportunities including green and climate bonds. Although climate bonds have emerged as an appealing investment, little is known about their dynamic correlations and market linkages with US equities, crude oil, and gold markets, especially during stress times such as the COVID-19 outbreak, which are essential for asset allocation and hedging effectiveness. In this paper, we report time-varying correlations between climate bonds and each of the markets considered, which intensify during the COVID-19 pandemic. On average, climate bonds are negatively associated with US equities and have a near zero correlation with crude oil, whereas they are positively associated with gold. There is a bidirectional volatility linkage between climate bonds and the three indexes under study, whereas return linkages are marginal. The hedge ratio is positive for bond-gold, whereas it switches between positive and negative states for bond-stock and bond-oil, especially it switches more extremely during the COVID-19 outbreak. Although climate bonds provide the highest risk reduction in a portfolio containing US equities or gold as a part of a hedging strategy, their hedging effectiveness is considerably reduced during the pandemic. The findings have implications for markets participants aiming to green their portfolios and make them robust during stress times, enabling a smooth and speedy transition to a low-carbon economy.We explore whether financing constraints affected the ways in which small and medium-sized enterprises navigated through the economic disruptions caused by the COVID-19 pandemic. We draw on data from a novel source, the COVID-19 Impact Follow-up Surveys conducted in 19 countries by the World Bank Enterprise Analysis Unit as a follow-up to enterprise surveys conducted in these countries prior to the COVID-19 outbreak. We find that previous bank-lending credit constraints magnified the effects of the pandemic. More specifically, credit-rationed firms were more likely to experience greater liquidity and cash flow problems and more likely than unconstrained firms to be delinquent in meeting their obligations to financial institutions during the economic crisis. Furthermore, these firms were less likely to have access to bank funding as a principal source of financing to address pandemic-induced cash flow and liquidity problems during the COVID-19 outbreak. link3 We further find that credit-constrained firms were more likely to use trade credit, delay payments to suppliers or employees, and rely on government grants to cope with pandemic-related liquidity and cash flow problems. We find little evidence that credit-rationed firms were more likely to raise equity capital during this economic crisis. Finally, we find that financing constraints were more likely to hamper firms' ability to adjust business operations in response to exogenous shocks. This study contributes to the literature on the impact of credit constraints on firm behavior in times of crisis.