This study examines how gender equality contributes to inclusive and sustainable green transitions across the European Union (EU). Using macro-panel data for 27 EU countries, it applies three econometric models to assess how changes in gender inequality, measured by the Gender Inequality Index (GII), influence female employment, women's tertiary education as well as the performance of the environmental goods and services sector.
The chambers of agriculture play a crucial role in shaping agricultural policy, supporting rural development,
and representing the interests of farmers and agribusinesses in rural areas. This research provides a comparative
analysis of the Chambers of agriculture in Lithuania, Latvia, and Estonia, focusing on their historical development,
governance structures, legal frameworks, membership principles, and relationships with public authorities.
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 public sector is perceived as a cornerstone of societal growth and development, innovation, social inclusion, and economic progress. Ensuring an environment that supports these key aspects requires effective governance, transparency, and investments, including investments in education. The role of the public sector should include providing high-quality and accessible higher education, which significantly influences students’ entrepreneurial motivation.
Autoriai:dr. Justas ŠtreimikisEKVIMartina Jakubcinova Jaroslav Belas Jr. Alexandra Hotkova Małgorzata Leśniowska-Gontarz
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.
Forecasting hotel occupancy during external shocks is particularly challenging due to their disruptive effects.
This study develops a forecasting framework that integrates multisource data using a time-varying parameter
state-space model (TVP-SSM). In this framework, search engine data (SED) are used to construct exogenous
variables, intervention variables are used to reflect the severity of external shocks, and holiday and weekend
dummy variables are used to capture the seasonal effect.
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.
Autoriai:dr. Dalia ŠtreimikienėEKVIdr. Ahmad BathaeiEKVIdr. Tomas BaležentisEKVIdr. Justas ŠtreimikisEKVI
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.
Autoriai:dr. Nelė JurkėnaitėEKVI
