The aim of this article was to assess the efficiency of the utilization of public funds for climate neutrality. It was concluded that the data gathered in public statistics are not adapted to current challenges and hinder the direct measurement of climate policy objective implementation progress. Due to that, an innovative approach to public intervention efficiency analysis was proposed for the sake of decreasing CO2 emission in 27 European Union (EU) countries, based on Data Envelopment Analysis (DEA) method and soft modeling. Statistical data are derived from the Eurostat database and pertain to the years 2005–2019. It was demonstrated that activity efficiency of the particular EU countries on climate neutrality varied and that together with the increase in public funds spent on environmental protection, the growth of effects in the field of reaching climate neutrality objectives was not observed. The greatest positive impact on achieving climate neutrality objectives was revealed for activities connected with building renewable sources of energy (RES) and there was no correlation detected for expenditures connected with transport infrastructure, which means that public funds used for their construction did not influence climate neutrality. It was established that, in the analyzed period, the decisions on allocating public funds were not taken on the basis of the expected amount of reduction in relation to the volume of outlays. In order to track the reasons for detected inefficiency, 52 projects were analyzed within the case study, which covered 3738 investments in the replacement of heating sources in one region of Poland. It was revealed that the efficiency of those investments varies; however, due to the full availability of data of the acquired results and outlays devoted to them, a synthetic index of efficiency measurement was established that presents the amount of CO2 reduction for EUR 1. When comparing the analyses carried out on macro and micro scales, it was observed that on the scale of the EU, there is a lack of uniform measurements or benchmarks of projects in the field of CO2 emissions reduction. Meanwhile, from the whole EU’s perspective, it should be reasonable to undertake projects with the highest economic efficiency, irrespective of political and geographical aspects. The results obtained should be utilized by decision-makers to elaborate reference methodologies and good practices in order to successfully implement climate objectives and especially the Energy Performance of Buildings Directive (EPBD). What should be established are universal, on the EU scale, measurements and rules for gathering and counting data as well as benchmarks for the particular project types.
The aim of the paper is to use soft modelling and TOPSIS method in order to divide voivodeships in terms of the competitiveness level of companies. The paper verifies the hypothesis implying that the usage of two various research methods does not have considerable impact on the position of objects depending on the analyzed characteristic. The concluding part of the paper includes the comparison of the results of grouping objects obtained using the selected methods. The elaboration makes use of data from the year 2014. The results obtained on the basis of these two methods enabled the presentation of the competitiveness level of companies in urban functional areas in Poland as well as the possibilities of achieving competitive advantage by means of using additional funds from the European Union for the improvement of the conditions of their functioning.
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Informacje o naborze artykułów i zasadach recenzowania znajdują się na stronach internetowych www.pracenaukowe.ue.wroc.pl www.wydawnictwo.ue.wroc.pl Publikacja udostępniona na licencji Creative Commons Uznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Polska (CC BY-NC-ND 3.0 PL)
Abstract:The main objective of the research was to establish which skills and competencies are mostly demanded by organizations/employers in Portugal and Poland. Secondly, we wanted to determine if there are any differences in this type of skills and competencies in these two countries. In order to analyze the skills necessary in organizations, we applied the typology of soft and hard skills. In the analysis, we had to distinguish moral competencies from soft skills, due to the specificity of the formers. In the research, we use the mixed qualitative-quantitative methodology. In the survey, carried out on convenience samples composed of Portuguese and Polish working students, the respondents were eager to answer one open-ended question and describe/list the skills/competencies demanded by organizations. In order to categorize the answers, we employed a two-stage process of phenomenological reduction. For the purpose of conducting a comparative analysis of the data and due to a wide dispersion of results in the case of soft skills in the two samples, we grouped the soft skills according to the ESCO and interpreted the differences by referring to the cultural dimensions introduced by Hofstede et al. [2011].
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