Despite being the EU’s largest budgetary instrument, direct payments remain allocated through political compromise rather than clear methodological criteria, sustaining long-standing disparities between EU-15, EU-10 member states, undermining solidarity. This paper proposes 18 models based on transparent rules to address this ambivalent situation.
The European Union air transport sector has been repeatedly exposed to major disruptions such as the 2008 financial crisis, the COVID-19 pandemic, the war in Ukraine, and volatile energy prices. Strengthening resilience has, therefore, become a strategic priority. This study examines how strategic energy investments—covering renewable energy, sustainable aviation fuels (SAFs), electrification, hydrogen technologies, and advanced infrastructure—contribute to the resilience of the EU air transport system. The methodology integrates both primary and secondary data from EU policy documents, ICAO and IATA databases, Eurostat, and national statistics. A multi-criteria evaluation was applied using four key performance indicators: emission reduction efficiency (ER), annual exposure index (AEI), investment performance index (IPI), and net present value (NPV).
This study explores how sustainable culinary tourism fosters rural diversification and resilience in the Baltic Sea Region (BSR). Despite increasing recognition of gastronomy as a driver of sustainable tourism, comparative analyses across macro-regional contexts remain limited. The paper addresses this gap through a qualitative comparative analysis of twelve thematic culinary trails involving seventy-three small and medium-sized enterprises (SMEs) developed under the INTERREG Baltic Sea Region Programme’s BASCIL project.
Object of research: the development and assessment of the European Union’s airport sector under economic globalization. This study conducts a comprehensive analysis of economic globalization theories, examining the key drivers of globalization, their effects on various economic sectors, and their specific linkages to transportation infrastructure. Considering the European Union’s economic policies and transport sector development strategies, the study evaluates the existing assessment tools used to measure economic globalization in the airport sector. The research provides an in-depth examination of the effects of specific globalization processes – economic integration, capital mobility, trade liberalization, and digitalization – on the European Union’s airport sector. To empirically assess the impact of globalization conditions on airport operations, a comparative analysis of the development of major EU airports has been conducted. This analysis evaluates key indicators such as passenger flows, cargo volumes, infrastructure investments, and the accessibility of air transport services, considering the influence of globalization factors.
The study aims to evaluate the role of support in shaping farms’ investment and efficiency in Lithuania. Data from Lithuanian Farm Accountancy Data Network dataset and logistic regression was used to evaluate to what extent Lithuanian farms’ investment is affected by support and other factors. Data Envelopment Analysis was applied to compare the technical efficiency of Lithuanian farms with and without investment support. Study period was 2009-2019.
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.
Authors:dr. Dalia ŠtreimikienėIERDdr. Ahmad BathaeiIERDdr. Tomas BaležentisIERDdr. Justas ŠtreimikisIERD
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.
Authors:dr. Nelė JurkėnaitėIERD
2025-09-18
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.
