Scientific publications and editions

The Lithuanian agricultural system survived paramount structural changes after the country had joined the EU. This paper investigates the case of peas. The study applies qualitative and quantitative methods in order to identify the potential of this raw material and map the most important solutions that allow to increase value added by introducing new products.

The sustainability-related decision-making oftentimes involves uncertain information. One of the key solutions in representing the interval information is the use of the interval information (numbers). This paper proposes a multi-criteria decision-making approach that relies on the algebra of random variables in handling the interval information.

The study aims at evaluating crop insurance effects on the farms’ production and investment indicators in Lithuania. The Common Agricultural Policy after 2020 considers measures helping farmers to adapt to climate change. For this reason, it is essential to evaluate existing risk management measures in order to propose appropriate schemes for the next programming period. In order to evaluate crop insurance effects on the farms’ production and investment indicators farm-level, data from Farm Accountancy Data Network dataset and propensity score matching approach was used.

Despite the extent and importance of the Smart Specialization strategies, achieved in a short cohesion policy period from 2014 to 2020, the evidence on the assessment of their actual effect on the economic development and the mobilization via the Smart Specialization implementation of the regions is still pending. In light of green transformation, accelerated by the European Green Deal, the heart of Smart Specialization strategies of EU regions is to avoid fragmentation and to reach a complementary in reaching the oint EU ambition of climate neutrality by 2050. This article aims to demonstrate how to identify the region-specific (place-based and bottom–up) pathways for green transformation and align them with the European Green Deal-focused Smart Specialization strategies in regions, using moderated co-creation in DPSIR analysis and policy modeling.

Financial agglomeration (FA) may play an essential role in enhancing energy efficiency (EE) and, thus, is important from both theoretical and empirical viewpoints. However, few studies have investigated the causal nonlinear relationship between FA and EE. Hence, we first extend the novel ray slacksbased measure with global technology to evaluate the urban EE in China during 2003-2018.

This article shows how the application of a method - connectivity analysis - developed through a Baltic Sea Region project ‘LARS - Learning Among Regions on Smart Specialization,’can be used to support Smart Specialization. The method includes transnational comparisons and targeted policy recommendations for public sector institutions operating within various institutional frameworks and different clusters.

This study explores China’s educational inequality from the perspective of regions, urban-rural areas, genders, and age cohorts by constructing and decomposingeducational Gini coefficient based on the concept of relative deprivation. The results indicatethat China’s average years of schooling continued to improve, and educational inequalityshowed a downward trend during 2000-2018. Both men and women average years ofschooling in cities was higher than that in towns and village even for the youngest agecohort.

This study presents an innovative approach to measuring the impact of EU CAP directpayments on the economic resilience of agriculture at a sectoral level. The construct of resilience isapproached from the perspective of the resilience of the main functions of the sector. The overalllevel of direct payments impact on sectoral economic resilience is seen as a weighted sum of thepayments’ impact on the resilience of the main economic functions of the sector.

This paper explores the issue of food waste in the Lithuanian retail sector. A questionnaire survey was designed in order to collect the relevant data from both the largest retail chains with stores around the country and companies with small-scale stores in rural areas. The present case is interesting as the literature on Central and Eastern European countries is scarce in the sense of the quantification of food waste.

This paper applies the Bennet total factor productivity (TFP) indicator and the economic surplus methodology to identify the stakeholders who generate or consume the gains from the productivity growth. The case of Lithuania is considered. The period covered is 2001-2020. The annual TFP growth of 2.3% is observed. The results confirm price advantages for consumers, whereas the price disadvantages were faced by the suppliers of the intermediate inputs to Lithuanian agricultural sector.