Mokslo publikacijos

This study embarks on a comparative evaluation of Circular Economy (CE) performance in the Baltic States (Latvia, Lithuania, and Estonia) using a robust multi-criteria decision-making (MCDM) framework. Drawing on 22 key indicators, the research applies the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to systematically rank the country-level CE implementation across five thematic dimensions: production and consumption, waste management, secondary raw materials, competitiveness and innovation, and global sustainability.

The personalized recommendation model explores potential interests by analyzing consumers' historical behavior. Consumer psychology is an internal factor of consumer behavior; therefore, it is crucial to take into account its effect when improving the accuracy of recommendation. This paper proposes personalized commodity recommendation model based on consumer psychological effects.

Despite the practical relevance of many tourism research studies, organizations and policymakers often struggle to integrate them due to time constraints, language barriers, limited resources, and interaction challenges. Generative artificial intelligence (GenAI) offers new capabilities to overcome these barriers. We propose a GenAIenabled knowledge translation process with three stages: (i) research curation to identify and translate relevant literature; (ii) content creation to produce materials; and (iii) market research using synthetic guests to pre-test their effectiveness.

Global food systems have faced multiple shocks that threaten the implementation of their main functions. This article analyzes the most recent studies and aims to develop a socioeconomic resilience assessment dashboard for agriculture as a component of the food system and estimate the resilience of the Baltic states in 2013 and 2023. The selected years allow us to compare resilience before and after the most recent agricultural market crisis. The resilience assessment dashboard includes leading and lagging indicators and uses the distance to a reference measure normalization method to compare resilience indicators in individual countries with the EU average. Leading indicators, focusing on the ability of the system to implement changes, distinguish the Estonian case and suggest that structural patterns of this country could empower different actions to increase resilience compared to other Baltic states.

Population aging and the rising prevalence of disability are reshaping demographic dynamics worldwide, underscoring the need for inclusive environments that accommodate diverse functional abilities. While legal mandates for accessibility exist, structural and institutional barriers often hinder implementation. Universal Design (UD) provides a transformative framework that shifts the focus from individualized accommodations to systemic inclusion; however, its application in Lithuania, particularly in rural settings, remains underexplored.

This study examines China’s carbon abatement costs and the role of digital technology, using provincial panel data from 2000 to 2021. By distinguishing between clean and non-clean energy inputs, we find that the estimated carbon abatement cost significantly exceeds prevailing market trading prices and follows a U-shaped temporal pattern— declining initially and then rising steadily.

China’s low-carbon city pilot policy (LCCPP) plays a crucial role in reducing carbon pollution and promoting green development. It stimulates enterprises’ green innovation (GI), such as through the promotion of circular carbon technologies and energy-efficient practices. However, a negative trend has emerged, wherein enterprises are increasingly focusing on low-end innovation to secure subsidies or comply with regulatory requirements.

Agricultural transformation is vital to sustainable development, allowing food security to be reconciled with environmental sustainability. However, the complex interplay between agricultural modernization and environmental systems, particularly the role of economic drivers, remains insufficiently understood.

This paper investigates price transmission on the potato market of a small producing country, namely Lithuania, and the influence of the neighbouring main producing country (Poland) on the price setting over the period of 2017–2023. The research framework includes the following coherent and interconnected steps that allow to investigate relationships between potato prices: unit root tests, the Toda-Yamamoto test, the Autoregressive Distributed Lag (ARDL) modelling and the Bounds test for the co-integration, the Error Correction Term (ECT) estimation applying the ARDL Error Correction Regression. The Toda-Yamamoto test demonstrates a bidirectional movement between producer and retail prices on the Lithuanian potato market, while, in Poland, the price setting moves from producer to retailer. Bounds tests confirm the presence of the long run relationships for vertical and horizontal potato price transmission of the small producing country.

Global governance and agricultural trade are undergoing a substantial transformation driven by geopolitical shifts, declining multilateralism and the rise of economic sanctions. This editorial synthesises contributions from a collection of invited works that examine the impacts of these changes on trade systems, food security and value chains. The collection explores how the shift from multilateralism to regionalism, the spread of sanctions and evolving governance frameworks influence agricultural trade and policy outcomes.