Paula Heliodoro

The adoption of a single VAT rate system in the EU is a complex and controversial issue, since the current model includes several differentiated rates and is intended to reflect sectoral needs and ensure greater fairness in the taxation of consumption. This study aims to analyse which of the general consumption tax models (differentiated rates or a single rate) is more efficient in terms of revenue collection. The study uses official statistics available on the official website of the Tax and Customs Authority for the period 1996–2022. VAT revenue is measured by applying the formula of the EU’s common VAT model with the necessary adaptations to the flat rate model. Quantitative methods are applied to verify which of the tax models is more efficient in terms of collection. For this purpose, two scenarios were defined (17% and 21%). The results suggest that the estimated revenues for the proposed flat rate models are higher than the amounts actually collected through the differentiated rates. They also suggest that the 21% flat rate is preferable to the 17% rate, although the latter has the capacity to maintain current revenue levels and increase the amount collected compared to the current system. The conclusions suggest that the single VAT rate model is technically more preferable and notably more efficient than the current common consumption tax model adopted by the European Union. The study concludes that the refusal to adopt the single-rate model is not due to technical reasons but to political ones.

The study aims to examine the financial efficiency of the textile and clothing industries in Portugal using official statistical data. The main objective is to assess the relationship between spending on research and development and return on assets. The study analyzes the performance of various subsectors of the textile and clothing industries, presenting the relationship between investments in research and development and the operating return on assets over various economic periods. The study adopted data envelopment analysis, classifying decision-making units based on average efficiency levels. The results highlight sectors of manufacture of textiles for technical and industrial use, manufacture of other textiles, production of outerwear, and manufacture of workwear as the most efficient. In contrast, sectors of manufacture of clothing and accessories, manufacture of knitwear, and leather clothing show lower levels of efficiency. From 2003 to 2022, the textile industry exhibited the highest levels of financial efficiency, with an above-average ratio between spending on research and development and return on assets. However, sectors of knitwear manufacturing and textile finishing have maintained a more or less constant level of financial efficiency. The analysis highlights the need for targeted interventions to increase the financial efficiency of different subsectors within the textile and clothing industries. It is evident that there are varying levels of financial efficiency across these sectors, and the need for benchmarking periods can help identify areas for improvement and set achievable goals.

Acknowledgment
This article is financed by Instituto Politécnico de Setúbal [Polytechnic Institute of Setúbal].