The present research aims to establish the impact that the current crisis situation the planet is facing, namely the COVID-19 pandemic, has had so far on the Romanian labor force market. In this context, given the lack of information and information regarding this pandemic and its effects, the administration of a questionnaire among the population was considered to identify the research results. The method of semantic differential and the method of ordering the ranks were used for the interpretation of the results. With the help of this questionnaire, it will be possible to answer the question of the research in this study: What are the main effects of the COVID-19 pandemic on the Romanian labor market? The main results showed that the COVID-19 pandemic affected the Romanian workforce; the respondents of the applied questionnaire claimed that they obtained better results and maintained a similar income, but the health crisis also influenced the mentality of employees, with respondents stating that in the event of changing jobs, they would consider it very important for the new employer to ensure the conditions for preventing and combating COVID-19, as well as complex health insurance. However, analyzing at the macroeconomic level, it was found that the COVID-19 pandemic induced an increase in the number of unemployed people in the Romanian labor market.

Process control methods, in general, and quality, in particular, most often refer to the measures taken especially to the finished product, as well as to the technological process, in order to maintain its performance within certain statistical parameters. Genichi Taguchi is the first who developed a quality control approach, used first in Japan and later in industrialized economies, a procedure widespread in quality under the name Taguchi method. Within the Taguchi method, he imposed a key term average loss attached to a process /characteristic in case it deviates, compared to a target value/objective, considered optimal. The Taguchi methodology is especially oriented towards the design phase, different from the classic approach oriented towards the final control phase upon delivery, or towards the supervision of the processes. This new approach aims to design processes and products so that they are as insensitive as possible (robust) to the influence of external, disruptive factors of the processes. In our paper, the capability indicators of the processes and their connection with the Taguchi risk are also presented. A link is also made between the statistical measurement of uncertainty and the Taguchi risk with an example in a process from the mechanical industry.

Currently, the projects that can be carried out through Public Private Partnerships in the livestock sector are under the influence of specific market risk factors, with a great impact on the efficiency of public or private investments and their success. This research aims to analyze some of the market risk factors that affect the organization and operation of Public Private Partnerships in the livestock sector. Therefore, the paper seeks to obtain the answer to the question: What is the way in which market factors influence the functionality of Public Private Partnerships? In this context, we considered necessary and appropriate to achieve a comparative analysis of the main indicators in the field of demand, supply and prices of livestock products in Romania, EU 27 average and some EU developed countries. The data were provided by Eurostat, AgriData and Faostat and cover the period 2014-2022. The analysis of available data for the period 2014-2022 suggests that fluctuations in the supply, demand and prices of livestock products can be considered factors affecting the functionality of PPPs, through two-way transmission mechanisms. This can help in developing more robust strategies and policies for managing risks and capitalizing on opportunities within Public Private Partnerships.

An important objective of the European Union climate and energy policy is the transition to renewable energy, but the distance to the 2030 target is still considerable and the progress is still uneven across Member States. This paper analyzes the progress of European Union Member States in order to achieve in 2030 the 42.5% renewable energy target proposed by EU. The study is based only on two Eurostat indicators, the share of energy from renewable sources in gross final energy consumption and total energy supply expressed in thousand tonnes of oil equivalent, taking into consideration 2010-2024 period. Combining historical analysis, growth measurement and forecasting, we could estimate the gap in relative and absolute terms. All the calculations and the visualizations were made using Power BI Desktop with Power Querry in order to format the tables, make connections between data, add measures with DAX formulas. The results show that the renewable energy share of the European Union increased from 14.41% in 2010 to 25.24% in 2024, but the projected value for 2029 reaches only 34.47% and 401,160.67 thousand tonnes of oil equivalent, which remains below the 42.5% target, and only 494,613.54 thousand tonnes of oil equivalent which means a gap of 93,452.86 thousand tonnes of oil equivalent. The paper contributes by forecasting the renewable energy in absolute and relative terms being a transparent and reproducible framework, showing that the challenge becomes more visible when renewable energy targets are assessed not only in percentages, but also as physical energy quantities.