In this study, we assess the main determinants of banks' profitability in Portugal over the period 2015–2018. We divide the factors that can influence bank profitability into several groups: management quality, credit quality, capital adequacy, liquidity (internal bank factors), and GDP growth (an external factor). The panel dataset is composed of annual report data for the 18 major banks operating in Portugal, representing about 98% of the Portuguese banking product. Profitability has been a persistent challenge for banks since the global financial crisis. Moreover, the Portuguese banking system had been facing several structural problems, which makes this topic particularly relevant. The profitability proxy used is the return on equity (ROE). The empirical strategy followed was pooled OLS. Variables relevant for explaining Portuguese banks' profitability are capital adequacy, liquidity and credit risk. As expected, the results show that capital adequacy (TIER 1) and credit quality (CVCT) have a negative and significant impact on banks' profitability, whereas liquidity (RAL) has a positive impact.
A new prototype of a ripening chamber was proposed in the CFD4CHEESE project aiming to evaluate the application of computational fluid dynamics in the optimization of traditional cheeses ripening conditions. With the purpose of evaluating the possible impact on the energy cost of cheese ripening in three Portuguese regions (Setúbal, Évora, and Beja), we demonstrated the potential economic benefits of the prototype. The proposed automation process would imply higher productive efficiency, reducing the consumption of water and electricity. The simple consideration of the reduction of electricity costs is enough to recover the investment needed to have the new ripening chambers, meaning that the investment is economically viable. In addition to the economic impact in firms, which are mostly small and medium firms, our results also contribute to an increase on the sustainable use of natural resources.
In this chapter, the authors assess the short-term effects of the pandemic (COVID-19) on banks with activity in Portugal. Namely, with regard capital buffer, it is intended to describe, in a succinct way, the measures taken by Portugal government to minimize the crisis effects. On the other hand, researchers divided the factors that can influence bank capital buffer in several groups, namely management efficiency, credit quality, and profitability. The panel dataset is composed of report annual data of 18 banks operating in Portugal, representing about 98% of the Portuguese banking product. The dependent variable is the capital buffer (BUF). The results show that credit quality (ICV), management efficiency (CTIN), and profitability (ROA and ROE) have a significant impact on bank capital buffer. Banks that have good credit quality indicators (ICV), management efficiency (CTIN), capital adequacy, and capital buffer (BUFF) will be better prepared to face the pandemic that is just taking its first steps.
A new prototype of a ripening chamber was proposed aiming to evaluate the application of computational fluid dynamics in the optimization of traditional cheeses ripening conditions. With the purpose of evaluating the possible impact in the production of cheese in three Portuguese regions, the potential economic benefits of the prototype were demonstrated. The proposed automation process would imply higher production efficiency, increasing sales, decreasing stock levels and a significant reduction in the consumption of water and electricity. Based on average values, it was estimated potential increases of 133 010 € in sales and an individual net present value of almost 560 000 €. In addition to the economic impact in firms, which are mostly small and medium firms, the results also contribute to an increase on the sustainable use of natural resources. However, it is important to highlight the contribution of the project in a pandemic situation to develop a better financial situation of the firms based on a higher margin of the business.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.