Scientific publications and editions

European Union (EU) has set ambitious energy and climate targets for the EU Member States. Some EU Member States (MS) confirmed to attain 100% of renewables in power generation by 2050 and implement carbon-free economy target. The purpose of this study is to assess and compare the avoided external costs of electricity generation due to the penetration of renewables in the Baltic States by implementing EU energy and climate targets for 2020, 2030 and 2050. The switching to renewables has significant social benefits for the EU member states, as fossil fuel burning is linked with the climate change and emission of classical air pollutants (SO2, NOx, particulate matter, NH3, NMVOC), which can have various negative impacts on the human health.

The choice of the energy storage technology involves multiple criteria that need to be simultaneously considered in the energy planning process. The development of sustainable energy system requires to take into account not only technical characteristics of storage technologies but also to pursue sustainability issues. The paper aims to perform not-site-specific sustainability assessment of the main types of energy storage technologies (mechanical, chemical, electrochemical and thermal) based on the developed advanced multi-criteria technique. The paper follows the vein of the coordinated Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and extends it to the interval environment.

The study covered by the present paper sought to look into a range of factors affecting the building of trust in brands among social media community groups. For the purpose of the present study, in order to measure the influence of visual content, the authors of the present paper investigated its visual as well as emotional characteristics while factoring in consumer engagement variables. In order to test our hypotheses, two different visual advertisements of an artificial hypothetical apparel brand were created.

Total factor productivity (TFP) growth measures usually focus on a certain direction of optimization and ignore the general setting encompassing the input and output orientations simultaneously. This paper uses the generalized Luenberger-Hicks-Moorsteen (LHM) TFP indicator which is additively complete and can be decomposed by three mutually exclusive elements. The input- and output-oriented analysis is undertaken in order to derive the generalized TFP measured.

The objective of the undertaken study is to investigate the association between proactive environmental strategy (PES) and its determinants, such as planning and organizational practices (POP) and communicational practices on sustainable development through the operating and financial performances of the pharmaceutical sectors of south Asian countries. Moreover, we examine this relationship through the eco-innovations as a meditator and technological advances as a moderator. We developed a modified conceptual model and questionnaire and verified by 856 responses from the region’s pharmaceutical sectors.

The objective of the undertaken study is to assess the application of Building Information Modeling (BIM) and evaluate the quality of information on construction projects. The paper also focuses on examining the design information quality on construction projects by applying BIM based on perceived variables, for instance, improve workflow, improve collaboration, design visualization, lower cost, environmental impact analysis, and variations. The first objective was to evaluate the impact of building information modeling on perceived variables such as improve workflow, improve collaboration, design visualization, lower cost, environmental impact analysis, and variations.

It is determined that economic, energy and environmental security indicators are characterised by the presence of systemic interconnections. The results of the evaluation show, that environmental and energy security are more closely related than environmental and economic or energy and economic types of security.

The purpose of the research paper is to investigate the chain link ‘pollution-shadow economy’ in the context of the analytical estimation of the impact of individual factors and the level of carbon intensity of gross domestic product (GDP). The article determines the impact of individual factors with transfer to the system of chain interconnections based on regression analysis.

This paper aims to identify the main risk groups according to their significance on imports of agricultural products. After analysis of the scientific literature, eight groups of risks associated with agricultural products import were determined: supply risks, demand risks, production risks, management plus operational risks, logistical plus infrastructural risks, political risks, policy plus regulatory risks and financial risks. In order to assess the importance of all import risk groups, three Multicriteria decision support methods (MCDM)—SAW, TOPSIS and Geometric means—for expert evaluation are used.