One of the main challenges of economic science is to explain the determinants and dynamics of a country's growth, which is essential to sustain its productive capacity. the research aims to verify which variables explain the economic growth of the states of Brazil. capturing the economic situation. Bearing in mind that the Brazilian economy has a very diversified economic structure, potentialities in different sectors, shown them can direct actions that have the intention of minimizing the existing disparities. The analysis aims to explain the GDP per capita of the 146 geographic strata with a group of explanatory variables on human capital, financial system, business environment and social infrastructure, in the period 2012-2019. Therefore, to achieve the proposed objective of the research, the adopted econometric method was the dynamic panel technique estimated by Two-Step System-GMM. The main results obtained were the 146 Geographic Strata that present disparities in economic growth. In general, the groups of variables used have a positive impact on GDP per capita, Human capital variables, specifically, workers with higher education, have a positive and significant impact on GDP per capita of the strata. Thus policies and actions are extremely important in an attempt to reduce existing disparities

The factors that are decisive for the performance of the exporting company was studied in different countries. . When we observe the Brazilian business economy, we notice that it is a potential exporter of commodities and throughout history the country's economy was strongly supported by the performance of exports of products with low added value. Rio Grande do Norte has an influential business branch in the economy of the Northeast region focused on the export of these products, with a focus on irrigated fruit growing. Given the comparative advantages they have, several national and international companies have settled in the region. In this way, the work proposes to understand the impacts of exports on the survival of irrigated fruit growing companies, obtained through the Survival analysis. The analysis reveals that in 20 years of existence, the exporting company is almost twice as likely to survive compared to the non-exporting company. In a period of 40 years, the company that has these external relations has a survival rate of 45%, while the company that does not have this rate decreases by around 15%

This study intends to analyze the wage gap between men and women in the red ceramic industry in Brazil in the years 2012, 2017 and 2021. Therefore, the main objective of this research is to identify the wage gap between formal workers in the Brazilian red ceramic industry , analyzing inequalities by macro-region, using microdata from the Continuous National Household Sample Survey – PNAD-C, from the Brazilian Institute of Geography and Statistics (IBGE). Methodologically, this work initially made estimates using Ordinary Least Squares (OLS), later, used the Oaxaca-Blinder (1973) yield decomposition methodology, and, finally, made use of the recent red influence functions (RIF) regression method formulated by Firpo et al. (2007). The results indicate that there is a wage difference between workers in the Brazilian red ceramic industry, where this greater gap is in higher wages. The estimates also show that income is impacted by the level of education, where workers with higher education have higher incomes than illiterate workers in the sector. Furthermore, the study highlights inequality in income between men and women, where the results suggest the existence of possible discrimination against women. Finally, it is noted that the largest significant wage differential is to the detriment of the Northeast macro-region, with these inequalities present in all years of the analyzed period, however, the estimates of the South macro-region showed the lowest wage disparity when compared to the earnings of workers residing in the Southeast macro-region, which was used as the base variable for comparison.

In recent years, agribusiness has increased its share in the international market. One of the main sectors on the rise is the fruit sector, which is becoming one of the main highlights for being one of the few products that a Global Value Chain in Brazil, with Rio Grande do Norte being the leading state in the export ranking, however, this fruit is still little exported, however, production is still at its potential. Therefore, it is a justification for the elaboration of this work, it is a need for studies that aim to identify and analyze the competitive potential of melon against the foreign market. This study has the ability to study the objective of Rio Grande do Norte in the international market, in view of making it historical and productive, in order to verify if the production capacity for the use of promotion and the advantage is comparative market abroad will become an important source of research. For this analysis, we chose to measure the Revealed Comparative Advantage Index (IVCR), proposed by Balassa and the Symmetrical Revealed Comparative Advantage Index (IVCRs), proposed by Lauren (1998). The data base to calculate this index was collected from Secex/MDIC and Trade Map. The results exported that does not offer the general performance of fresh honey presented an evolution in the rate of the indicator of comparative advantages, the Brazilian premium does not perform the comparative advantages of Brazilian fresh honey. The sector became more competitive after the 2000 period, such as during the 2000 review period, where a pullback due to the 2008 review financial study was a pullback due to the 2008 review financial study.
1197-2021) finds that the average growth rate indicated an improvement in the performance of Brazilian fresh melon exports.

This work had as objective the construction of indicators that anticipate the movements of economic cycles, and 

thereby anticipate their onset through the dynamics of the economies of the 27 countries responsible for more than

84% of the global economy and the dynamics of the prices of the main commodities responsible for most of world

trade. To this end, Several steps were necessary until the operationalization of the study. At first, it was necessary to

collect all available data to all countries initially selected in the database (St. Louis FED) of the American Central

Bank - achieved through an automation for the creation of a glossary containing all the details for more than 39 

thousand series. Subsequently, the filters with the imposed requirements were applied, leaving just over 5 thousand.

There was a need to reduce the number of series due to the limited computational power, therefore, the use 

of the model for variable selection, Elastic-Net, which selected the most relevant to the quarterly GDP of each

country. From there, the data were grouped in blocks and sub-blocks organized by the dynamics of the 

economies. The model used to construct the indicator was the Factor Model. Hierarchical Dynamics that 

aggregates series with common factors, by blocks sectoral, subsectoral and/or idiosyncratic components. 

The resulting factor had good adherence to tests, showing good ability to predict crises. When generating the 

probabilities softened, it was possible to foresee the crisis of the Coronavirus already in January 2020, for the

Subprime crisis had a more modest performance, can be explained by the fact that it contains the weight of all 

other economies in addition to the American one, and also due to the shortened time horizon. The factor of 

Financial Market generated very efficient probabilities, anticipating all major events, but also issuing alerts for 

periods that do not there were crises, but being more localized recessions.