Scientific publications

The encouragement of green electricity choice is vital. Thus, the aim of this analysis is to examine the impact of environmental aspects, concern over the military conflict in Ukraine, and behaviours related to energy consumption on the choice of green electricity. Referring to the data of a survey carried out in Lithuania, 2023, the binary logistic regression was applied. The results showed that one third of them stated that they have chosen green electricity.

The purpose of this study is to analyze how an organization’s ethical climate and the quality of its sustainability training initiatives contribute to innovation and knowledge while helping to minimize greenwashing risk in production-based supply chains. This study also explores employee skepticism about green claims as a mediating factor in influencing this relationship.

Food waste in the food service sector represents a significant sustainability challenge. However, empirical evidence that differentiates food waste across operational stages of the catering process and combines quantitative measurement with analysis of contributing factors and prevention initiatives remains limited. This study examines food waste across institutional and commercial catering establishments in Lithuania (n = 184), using a combined survey and one-week diary-based measurement approach.

The framework recently proposed by Nieto-García et al. (2023) presents a provocative critique of tourism research, identifying “researcher myopia” as a systematic failure to measure actual behavior. This commentary, through empirical validation with a large-scale tourism monitoring project, reveals the limitations of stated intentions, and highlights the necessity of behavioral measurement (i.e., Real Data) as a foundation for effective tourism policy.

Recent discussions on the future of European Union governance highlight a growing emphasis on integrated policy frameworks that align agricultural, territorial, and socioeconomic development objectives within unified strategic planning systems. One of the proposed innovations for the next EU programming period is the introduction of National and Regional Partnership Plans (NRPPs), which aim to coordinate several EU funding instruments within a single national planning framework.

Green credit is a financial tool stimulating environmental protection by allocating credit funds for cleaner and energy-efficient activities. However, the mechanisms of credit allocation can affect the effectiveness of green credit. This study discusses the concepts of lending discrimination and endogenous clean technology based on the economic growth model with environmental constraints. This allows explaining the mechanism through which lending discrimination and green innovation influence the effect of green credit on (reduction of) environmental impact.

Abstract This paper examines how rural development support was associated with changes in Lithuania’s agri-food sector between 2000 and 2025 across successive Common Agricultural Policy (CAP) programming periods. Integrating complementary theoretical perspectives, the study assesses whether policy interventions were linked to structural transformation, market upgrading, partial innovation deepening, and sustainability-oriented change, or whether they primarily reinforced existing agri-food development paths.

This study investigates whether digital technology adoption can drive both sustainable financial performance and enhanced corporate energy efficiency, which has received limited attention in previous research. Grounded in dynamic capability theory and upper echelons theory, and utilizing a two-way fixed-effects regression model, this study analyzes panel data from publicly listed Chinese firms from 2010 to 2022. We assess the “win–win” potential of digital technology adoption on financial and energy outcomes, with a focus on the moderating role of chief digital officers.

Given that structural efficiency serves as a significant instrument, this paper applies a novel approach to measure structural efficiency levels within Chinese banks from the perspective of potential improvement. To further investigate the patterns of structural efficiency, the overall structural efficiency is disaggregated into a series of variable-specific structural efficiencies. It reveals that fixed assets and non-interest incomes constitute the primary sources of structural inefficiency during the study period.

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.