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Mokslo publikacijos

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.
Autoriai:dr. Tomas BaležentisEKVIFengrong Wang Chenxi Zhang William Mbanyele Hongyun Huang
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.
Autoriai:dr. Živilė Gedminaitė-RaudonėEKVIdr. Rita LankauskienėEKVISeija Virkkala Åge Mariussen Antti Mäenpää
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.
Autoriai:dr. Tomas BaležentisEKVIGangfei Luo Shouzhen Zeng
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 article proposes a decomposition approach for the agricultural labour productivity change that takes into account the landto- labour ratio, intermediate consumption intensity and intermediate consumption productivity. The case of the three Baltic States (Estonia, Latvia, Lithuania) is considered which is interesting in the light of the European Union (E.U.) expansion and the structural change taking place in those countries.
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.
Purpose - The proposed DHHFLOWLAD is used to design a recommendation system, which aims to providethe most appropriate treatment to the patient under a double hierarchy hesitant fuzzy linguistic environment. Design/methodology/approach - Based on the ordered weighted distance measure and logarithmicaggregation, we first propose a double hierarchy hesitant fuzzy linguistic ordered weighted logarithmicaveraging distance (DHHFLOWLAD) measure in this paper.
Autoriai:dr. Dalia ŠtreimikienėEKVIdr. Tomas BaležentisEKVIYuhe Fu Chonghui Zhang Yujuan Chen Fengjuan Gu
The European transition to green economy is based on long-term strategies. The Europe 2020 Strategy was launched in 2010 in order to promote smart, sustainable, and inclusive growth in the region. Later, the ambitions regarding this strategy were followed by the Green Deal and Sustainable Development Goals. Now, the effort of countries towards the green economy is even more relevant than ever because of the context of today’s global energy crisis and economic uncertainty due to many challenges such as the COVID-19 pandemic or Russia invasion of Ukraine. This paper seeks to assess the countries’ achievements in seeking to achieve climate change and energy targets of the Europe 2020 Strategy by applying the innovative multi-criteria decision-making (MCDM) technique.