Scientific publications

Low-density thermal insulation materials tend to settle during operation or under small loads. Resistance to loads and settling is ensured by increasing the density of thermal insulation materials several times. This increases the weight of the material and the structure and production costs. In this work, using various technological processes, corrugated textile sheets and thermal insulation materials were produced from textile fabric. The development of such materials as effective thermal insulation materials for building insulation has not yet been studied. The corrugation of textile sheets enabled the thermal insulation material to exhibit good mechanical and deformation properties without increasing its density or thermal conductivity.

Therapy farms are increasingly recognized as social innovations that respond to exclusion, mental health challenges, and youth disconnection, particularly in rural areas. While often praised for their inclusive and rehabilitative potential, their broader impact on structural social transformation remains under-examined. This study explores the House of Educational Experiences, a therapeutic farm in rural Lithuania, to critically assess how such initiatives function as both agents of inclusion and stabilizers of existing socio-economic arrangements. Drawing on a qualitative case study approach, the research analyses indepth interview data through the lens of the social innovation cycle, focusing on novelty, process, heterogeneity, impact, scalability, and transformative potential.

The present paper analyses the extent to which European Union regulatory frameworks induce the development of circular agriculture within the European Union. In order to evaluate the progress towards circular agriculture within the European Union, a composite Agricultural Circularity Index (ACI) was developed for all EU-27 Member States for the period of 2014–2023.

This research investigates the psychological implications of Artificial Intelligence (AI) exposure in online shopping, emphasizing consumer trust, decision-making, emotional responses, and privacy concerns. The study bridges psychological theories and marketing practices, contributing to AI-driven consumer engagement. Using a mixed-methods approach, the study collected quantitative data from 461 online shoppers in Saudi Arabia and qualitative insights from 24 stakeholders. Partial least squares structural equation modeling (PLS-SEM) and NVivo-based thematic analysis were employed for comprehensive evaluation.

The Agriculture, Forestry, and Other Land Uses (AFOLU) sector accounts for approximately 20% of global anthropogenic greenhouse gas emissions. Despite this significant share, AFOLU has received comparatively limited policy attention relative to other major emitting sectors, such as energy and transport. We review ex-post analyses of emission reduction strategies within the AFOLU sector to facilitate more informed policymaking.

The loss of biodiversity is a big challenge for the successful functioning of ecosystems, and it is mostly related to the agricultural sector. Thus, conservation of biodiversity is a vital issue, and it is important to explore the main determinants and tools for mitigation of this problem. In this study, the multi-faceted impact of agriculture on biodiversity is revealed in a systemic manner and using a critical review approach. Furthermore, the role of the transition from conventional to organic agriculture in biodiversity conservation, focusing on potential to mitigate the loss of biodiversity, is presented.

This paper examines the economic and financial performance of Lithuanian dairy family farms from 2018–2023, divided into three periods shaped by the COVID-19 pandemic: pre-pandemic (2018–2019), pandemic (2020–2021), and post-pandemic (2022–2023). Drawing on Farm Accountancy Data Network (FADN) data, the analysis focuses on trends in farm net income, total and current assets, total liabilities and short-term loans, solvency, and liquidity.

The by-production (BP) model proposed by Murty et al. (2012) distinguishes between inputs that induce generation of the undesirable outputs (such inputs can include energy consumption) and those that do not contribute to generation of undesirable outputs (such inputs can include capital or labor). The BP model uses economic and environmental frontiers to approximate the production process and is considered to respect the materials balance principle. As the inputs contributing to generation of the undesirable outputs exhibit different roles (inequalities) across the two sub-technologies, construction of the input distance functions for construction of the productivity measures becomes cumbersome.

In the digital economy of today, social media has transformed marketing functions in most consumer-oriented businesses, such as fashion. This research examines the impact of the leading social media marketing features – “entertainment”, “customization”, “electronic word of mouth” (EWoM), and “trendiness” – on “consumer brand engagement” and “brand awareness” in the fashion industry. Based on a systematic survey conducted among 384 active social media users, the study uses partial least squares structural equation modeling (PLS-SEM) to analyze the interrelatedness of the variables. The study reveals that “consumer engagement” with brands is highly influenced by EWoM, interactivity, and “fashion trends”, which consequently increase “brand awareness” and “brand image”. However, the influence of “entertainment” and “customization” on consumer participation was statistically insignificant.

The aviation sector is one of the largest sources of greenhouse gas emissions, and the European Union (EU) is calling for a rapid transition to sustainable aviation fuels (SAFs). This study aims to assess market dynamics and regulatory challenges of sustainable aviation fuels (SAFs) in the European Union, with emphasis on economic feasibility and the role of policy frameworks. Using econometric methods: Autoregressive Integrated Moving Average (ARIMA) and Vector Autoregression (VAR) models, forecasts of SAF infrastructure development trajectories were produced, while regression analysis was applied to assess the relationship between national GDP and the scale of SAF deployment.