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At the beginning of 2020, the world was left in an unprecedented state of shock by the COVID-19 pandemic. Brazil quickly became the epicenter of new cases of contamination, where the propagation of the virus was unrestrained, despite boasting one of the strongest Universal health coverage systems in Latin America. This paper has at least three empirical contributions to the literature about economic resilience and the COVID-19 pandemic. Firstly it is a critical issue regarding the "economics versus life" trade-off, which is an essential question for developing countries, given that policymakers must decide between policies to reduce the number of COVID-19 infections without damaging the economy. Secondly, our findings suggest that the early adoption of isolation measures applied in 2020, such as the financial aid and the vaccination have been effective in controlling the effects of the pandemic, especially in vulnerable microregions. Furthermore, it was verified that the Emergency financial aid was a fundamental policy in minimizing the economic impacts of the pandemic and allowing people to practice social distancing, contributing positively to the Employment Resilience Index and negatively related to the growth rate of deaths due to COVID-19. The contribution of our study is to measure an inverted U-shaped curve to demonstrate that policymakers must achieve a minimum of families to decrease the COVID-19 deaths. These contributions are essential and straightforward findings to lead policymakers' decisions in developing countries facing financial constraints in the public budget and population reticence about physical distancing, self-quarantine and vaccination. [ABSTRACT FROM AUTHOR]

International trade is one of the key spheres of economic policy. It is crucial for a country to understand the dynamics of its export markets to create a coherent strategy to improve its position in global markets. Research in this field is particularly interesting for both economists and policy makers. However, due to a lack of data, most of the well-established literature is focused on the national level. Therefore, there is little evidence on the influence of local characteristics on export markets. This research aims to evaluate the influence of regional factors on the competitiveness of firms in international markets, focussing on the importance of agglomeration economies and location, among other local factors. To identify this influence, this paper studies the case of Brazil. This country offers rich disaggregated information that allows this type of research and displays enormous differences across rural and urban areas. Given these differences, the assumption of homogeneous effects is too restrictive. Therefore, to study the patterns across different territories around the country, Geographically Weighted Generalized Linear Model (GWGLM) method is applied. The results indicate an interaction between location and the influence of several local characteristics such as human capital, the degree of development and the local economic structure. This relationship creates virtuous circles in a few locations where urban agglomerations create a suitable environment for firms, while opposite patterns appear in other locations. JEL codes: F14, R11 and R12 [ABSTRACT FROM AUTHOR]

The expansion of sugarcane growing in Brazil, spurred particularly by increased demand for ethanol, has triggered the need to evaluate the economic, social, and environmental impacts of this process, both on the country as a whole and on the growing regions. Even though the balance of costs and benefits is positive from an overall standpoint, this may not be so in specific producing regions, due to negative externalities. The objective of this paper is to estimate the effect of growing sugarcane on the human development index (HDI) and its sub-indices in cane producing regions. In the literature on matching effects, this is interpreted as the effect of the treatment on the treated. Location effects are controlled by spatial econometric techniques, giving rise to the spatial propensity score matching model. The authors analyze 424 minimum comparable areas (MCAs) in the treatment group, compared with 907 MCAs in the control group. The results suggest that the presence of sugarcane growing in these areas is not relevant to determine their social conditions, whether for better or worse. It is thus likely that public policies, especially those focused directly on improving education, health, and income generation/distribution, have much more noticeable effects on the municipal HDI. [ABSTRACT FROM PUBLISHER]

This paper analyzes the geography of regional competitiveness in manufacturing in Brazil. The authors estimate stochastic frontiers to calculate regional efficiency of representative firms in 137 regions in the period 2000–2006, in four sectors defined by technological intensity. The efficiency results are analyzed using Markov Spatial Transition Matrices to provide insights into the transition of regions between efficiency levels, considering their local spatial context. The results indicate that geography plays an important role in manufacturing competitiveness. In particular, regions with more competitive neighbors are more likely to improve their relative efficiency (pull effect) over time, and regions with less competitive neighbors are more likely to lose relative efficiency (drag effect). The authors find that the pull effect is stronger than the drag effect. [ABSTRACT FROM AUTHOR]