Suchergebnisse

Most European countries are experiencing an increase in a number of diseases related to nutrition. These diseases have a more harmful impact on health even compared to microelementosis that is still common. There is data that proves correlation between high level of obesity, certain diseases and high calorie diet, overconsumption of saturated fats and low intake of vegetables and fruit. ; Проект № 2016-2592/001-001, 574826-EPP-1-2016-1-RU-EPPJMO-MODULE, при финансовой поддержке Европейской Комиссии

The analysis of the economic efficiency of agriculture has been the subject of numerous studies. An economically efficient agricultural sector is not always environmentally efficient. Agriculture is a large emitter of greenhouse gases. The Intergovernmental Panel on Climate Change states that food production and agriculture are responsible for 21&ndash ; 37% of total global CO2 emissions. Due to the comprehensive assessment of the agricultural efficiency, it is worthwhile to apply to its measurement an integrated approach based on economic, energy and environmental aspects. These aspects were the main reasons for undertaking this research. The purpose of the study was to determine the economic, energy and environmental efficiency of agriculture in the EU Member States in 2019. The environmental analyses relate to the period 1990&ndash ; 2019. A total of 26 member states of the European Union (excluding Malta and Luxembourg) were selected for research. The sources of materials were Eurostat and the European Environmental Agency. This study was based on the Data Envelopment Analysis method, and used the DEA model focused on minimizing inputs. The research also adopts energy productivity and greenhouse gas emission efficiency indicators. The DEA model features the following variables: one effect (value of agricultural production) and four inputs (land, labour, use of fertilizers and use of energy). It was found that seven out of the 26 studied EU countries have efficient agriculture. The efficient agriculture group included the Netherlands, Denmark, Greece, Cyprus, the United Kingdom, Italy and Ireland. Based on the DEA method, benchmarks have been defined for countries with inefficient agriculture. On the basis of these benchmarks for inefficient agricultural sectors, it was possible to determine how they could improve efficiency to achieve the same results with fewer inputs. This issue is particularly important in the context of sustainable agricultural development. In the next stage of the research, the analysis of economic and energy efficiency was combined with the analysis of GHG emission efficiency in agriculture. Four groups of countries have been distinguished: eco-efficiency leaders, eco-efficiency followers, environmental slackers, eco-efficiency laggards. The leaders of the classification were the Netherlands, Italy, Greece, Cyprus and Portugal.

At the current level of economic development, the digital transformation of society is an important factor in advancing any social structure. The purpose of the present study was to explore the transformation of a traditional society into a digital one, with a focus on ethical and environmental aspects. The study draws on a variety of information analysis methods to identify strengths, weaknesses, opportunities, and threats of digitalization, including the environmental aspect. Our research revealed that in Russia, the only highly digitalized sectors were information technology and finance. Digitalization is strikingly different in the European countries, where only transport and building industries slowly implemented digital technologies into their business processes. We also examined digitalization levels in 7 Moscow universities. The universities managed to improve their digitalization scores with the help of recommendations developed for online learning, such as selection of quality software, having qualified teaching staff, constant monitoring, and evaluation of knowledge. The findings can be used in economic, social, and environmental spheres since they highlight the ambiguous effects of digitalization using practical examples.

Supplier selection is an important business decision. Beside traditional management criteria the environmental aspects are getting often recognition. In this paper the method of Data Envelopment Analysis (DEA) is used to study the extension of traditional supplier selection methods with environmental factors. The focus will be on the weight selection process which can control the selection. In this method we divide the criteria in two manners: the traditional and environmental (green) factors. Then with the help of DEA we are searching a weight system with which the environmental criteria can influence the decision with a representation of the green factors. To choose the mentioned weight system, we apply DEA (Data Envelopment Analysis) with common weights analysis (CWA) method. In this case of DEA/CWA the common weights are calculated with a linear programming problem.

Transport is one of the most essential sectors of the EU member state economies. Measurement of the efficiency of transport operations seems to be interesting from the perspective of both the economy as a whole and individual companies operating in the transport sector. The largest proportion of freight transport in the European Union is done by road. The purpose of this paper is to determine the efficiency of road and rail freight transport in old and new European Union countries based on the data envelopment analysis (DEA) method. To that end, the authors present a literature review reflecting the current state of research on the importance of transport and its development in relation to the economy and environmental problems. Additionally, the methods of data analysis and variables are described. The empirical part is divided into a presentation of DEA results and correlation between the transport efficiency, gross domestic product (GDP), and CO 2 emissions results. Moreover, spatial analysis was used to characterize road and rail transport efficiency in EU member states. The last section gives a summary of the study, and the obtained results are compared with data from the literature review