Projects financed by the EU structural funds

How non-price instruments can help increase energy efficiency at the right time

Project Title – How non-price instruments can help increase energy efficiency at the right time
Application Code – No 01.2.2-LMT-K-718-02-0007
Research Group – dr. Andrius Kažukauskas, dr. Jūratė Jaraitė - Kažukauskė, dr. Vincentas Giedraitis, dr. Tomas Baležentis, dr. Rimvydas Baltaduonis, dr. Marye Fissha Asmare

Project Goal – The goal of this project is to bring the discussion on inefficiencies in residential energy use from theory to practical application using innovative technical methods and insights from the field of behavioural economics. This goal will be reached by accomplishing two main tasks. The first task is to analyse the issue of energy inefficiency in households, focussing on a lack of awareness and relevant information about energy use. The second task is to study Lithuanian households’ energy and financial literacies, their interaction, factors, and ways of increasing these literacies.

Project Summary – This project will implement several experiments that will help answer the question of how the provision of different types of information affects the energy consumption of Lithuanian households. This information will be updated in real time and transmitted to households via smartphones and other portable electronic devices. JSC Lietuvos Energija will provide the real-time electricity consumption data from the new generation of multifunctional electronic electricity meters required for the implementation of these experiments. Given the rapid development of these advanced meters and other information technology, project research will show whether this non-cost-effective approach can effectively lead to energy savings. As the experiments will generate frequent data, it will be possible to find out whether various non-cost interventions affect energy consumption during peak and off-peak electricity demand hours. The knowledge gained from this project can contribute to the provision of tangible value-added services to households and the energy sector as a whole. This project will provide valuable information on the importance of non-cost-effective measures delivered with the help of innovative high technologies to reduce valuable resource consumption.

Funding Resource – This project has received funding from European Regional Development Fund (project No 01.2.2-LMT-K-718-02-0007 ) under grant agreement with the Research Council of Lithuania (LMTLT).

Reassessment of the Optimum Currency Area in the persistently heterogeneous European Union (Euro4Europe)

Project Title – Reassessment of the Optimum Currency Area in the persistently heterogeneous European Union (Euro4Europe)
Application Code – No 09.3.3-LMT-K-712-01-0123
Principal Investigator – Chief researcher dr. Svatopluk Kapounek
Research Group:
Chief researcher dr. Jesus Crespo Cuaresma
Chief researcher dr. Jarko Fidrmuc
Chief researcher dr. Peter Huber
Researcher dr. Povilas Lastauskas
Researcher dr. Dmitrij Celov
Chief researcher doc. dr. Laimutė Urbšienė
Researcher dr. Rima Rubčinskaitė

Project Goal – the main goal of this project to improve the qualifications of researchers through high-level research in the field of business cycle synchronization, promoting the exchange of scientific ideas on the impact of European integration on business cycle asymmetries, as well as providing empirical evidence on the impact of European integration on business cycle asymmetries. The project will promote scientific cooperation with researchers from prestigious foreign research institutions - Vienna University of Economics and Business, Austrian Institute for Economic Research, Mendel University in Brno, and Zeppelin University in Friedrichshafen.

Project Summary – the project aims to improve the qualifications of researchers through high-level research. The project will carry out a business cycle synchronization study using 3 empirical strategies: a) analysis of national business cycle synchronization; (b) a study on economic integration and the transmission of macroeconomic shocks; (c) a study on the integration of regional business cycles. The project will seek to examine whether there is evidence to support the view of proponents of endogenous optimal currency space theory that integration increases or decreases asymmetries in business cycles (Frankel and Rose, 1998) (Krugman, 1993). The results of the project's research will: a) reassess the evolution of business cycle synchronization in Europe through equal access and at different territorial levels (national, regional); (b) provide empirical evidence to proponents of endogenous theories of an optimal currency area that integration increases or decreases asymmetries in business cycles; (c) fill the gap in business cycle synchronization measurement concepts. The regional research level will contribute to a better understanding of microconvergence from the perspective of a flexible and sustainable economic and monetary union in Europe.

Project Implementation – January 8th, 2018 – January 7th, 2022
Contact Person –

Funding Resource – this project has received funding from European Social Fund (project No 09.3.3-LMT-K-712-01-0123) under grant agreement with the Research Council of Lithuania (LMTLT).

Development of an online learning platform with a learning motivation system based on game design elements and „blockchain“ technology

Project Title – Development of an online learning platform with a learning motivation system based on game design elements and „blockchain“ technology
Application Code – No J05-LVPA-K-04-0133
Research Group – prof. dr. Vytautas Dikčius, prof. dr. Sigitas Urbonavičius, asist. dr. Karina Adomavičiūtė, asist. dr. Dalia Čiupailaitė, doc. dr. Degutis Mindaugas, j. asist. Ignas Zimaitis.

Project Goal – The goal of the project is to carry out research on learning motivation and create an online learning platform with an integrated learning motivation system, game design elements, and „blockchain“ technology.

Project Summary – The project develops an innovative next-generation online learning platform with blockchain technology, based on a system for promoting user motivation, tracking achievements, and integrated social communication and mutual assistance functionalities. The platform developed by JSC „Bitdegree“ will be the world's first online learning platform based on „blockchain“ technology, the main focus of which will be on developing skills and competencies in the digital economy. The platform will teach programming languages, website development, online business intricacies, computer game development, and other digital sciences relevant to retraining market needs and important for modern employers.

Funding Resource – this project has received funding from European Regional Development Fund (project No J05-LVPA-K-04-0133)

Personal Pricing, Privacy And Search In Retail Markets

Project Title - Personal Pricing, Privacy And Search In Retail Markets
Application Code – No 09.3.3-LMT-K-712-18-0001
Research Group - dr. Vaiva Petrikaitė

Project Goal – the main goal of this project is to investigate consumer incentives to store personal information in retail markets where personal pricing and information asymmetries prevail and to promote the exchange of research experience and knowledge between researchers and the host institution.

Project Summary – by letting sellers of goods and services know more about themselves, the consumer can not bother and look for the desired purchases: the sellers themselves will make tailor-made offers. Unfortunately, the product offered, while meeting the needs of the consumer, will often be expensive. Hence, the buyer may choose to store personal data and, without receiving personal offers, engage in time- and effort-intensive low-cost searches for the required item. During the implementation of this project, the researcher will analyze such consumer choices in the retail markets of goods and services and formulate recommendations on how to improve the efficiency of these markets and increase consumer welfare. The researcher will become a member of the academic community of Vilnius University, share the research experience gained in academic institutions in Spain and the Kingdom of the Netherlands, and contribute to the development and strengthening of international academic relations. At the same time, she will gain experience in the development and improvement of study programs and establish contacts with representatives of local businesses and other organizations. These steps will ensure that in the future the researcher will carry out successful high-level research projects, in which she will work together with the academic community of Vilnius University and other Lithuanian higher education institutions, as well as representatives of business and state institutions.

Funding Resource - this project has received funding from European Social Fund (project No 09.3.3-LMT-K-712-18-0001 ) under grant agreement with the Research Council of Lithuania (LMTLT)

Changes in the economic structure, efficiency of economic sectors and increasing productivity

Project Title – Changes in the economic structure, efficiency of economic sectors and increasing productivity
Application Code - 09.3.3-LMT-K-712-19-0090
Research Group – dr. Giedrė Dzemydaitė (trainee), prof. dr. Algirdas Miškinis (trainee supervisor)

Project Goal – To improve the scientific qualification of a young researcher through practical scientific activities aimed at assessing the efficiency of economic sectors, identifying the manifestations of unproductivity in the structure of the economy and submitting proposals for their solution.

Project Summary –In order to achieve this goal, it is planned to raise the scientific qualification of post-doctoral research fellow to carry out high-level scientific research, to analyze the applicability of methods for assessing efficiency of economic sectors, combining nonparametric efficient frontier methods and neural networks, to apply the proposed methodology for identifying inefficiencies in the economic structure of the EU countries and regions, and to give suggestions for increasing productivity and developing smart specialization. Implementation of the project expands scientific knowledge in the areas of structural changes in the economy, evaluation of efficiency of economic sectors (specializations) and productivity growth by analyzing national and regional economies. The results of the research would be relevant to the EU and national industrial policy makers to support decisions on smart specialization and sectoral policies.

Funding Resource - This project has received funding from European Social Fund (project No 09.3.3-LMT-K-712-19-0090) under grant agreement with the Research Council of Lithuania (LMTLT).

Development of climate-smart agriculture in the European Union: integrated assessment and convergence analysis

Project Title – Development of climate-smart agriculture in the European Union: integrated assessment and convergence analysis
Application Code - 09.3.3-LMT-K-712-19-0086
Research Group – dr. Mangirdas Morkūnas (trainee), prof. dr. Tomas Baležentis (trainee supervisor)

Project Goal – to assess and propose ways to improve the convergence of climate-smart agricultural development in old and new EU Member States (including between these groups).

Project Summary – A detailed analysis of scientific literature and legal-normative documents will be used to develop a system of indicators for smart agriculture in terms of climate change. The selection of indicators will be carried out by means of a survey of experts consisting of researchers and employees of the Lithuanian Ministry of Agriculture. Indicator weights will be determined both by subjective methods using AHP (Analytic hierarchy process) or BWM (Best-Worst Method) techniques and by objective weighting methods such as entropy or ex-aequo techniques. The level of development of smart agriculture in terms of climate change in the EU Member States will be assessed using at least three multi-criteria decision-making methods. Possible alternatives: SAW (Simple Additive Weighting), TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution), WASPAS (Weighted Aggregated Sum Product Assessment), MULTIMOORA (Multi-Objective Optimization on the basis of Ratio Analysis plus full multiplicative form) , VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje). The exact DSP methods are selected according to the structure of the data array. Convergence measurement will be performed using different scientific approaches (δ, β, club convergence) and using appropriate econometric models. This will create a framework to ensure the convergence process towards climate-smart agriculture in the EU. The survey will use FADN (Farm Accountancy Data Network) and Eurostat data supplemented by indicators of environmental impact (Global Footprint Network) and general public wealth (Inclusive Wealth).

Funding Resource - This project has received funding from European Social Fund (project No 09.3.3-LMT-K-712-19-0086) under grant agreement with the Research Council of Lithuania (LMTLT).

What can we learn from a medium-scale estimated HANK model?

Project Title – What can we learn from a medium-scale estimated HANK model?
Application Code - 09.3.3-LMT-K-712-19-0158
Research Group – dr. Guillermo Hausmann Guil (trainee), dr. Patrick Grüning (trainee supervisor)

Project Goal – To improve the scientific qualification of a researcher and to solve and to estimate a medium-scale New-Keynesian model with heterogeneous agents (HANK).

Project Summary - Medium-scale New-Keynesian models are widely used by policy-makers, financial institutions, and academic researchers to study macroeconomic fluctuations and to provide quantitative estimates of the impact of fiscal and monetary policies on the macroeconomy. However, the vast majority of these models builds on the Representative Agent (RA) framework, so that key features of modern economies (income and wealth inequality, portfolio composition, credit and liquidity, unemployment risk) are absent in such models. In this research project the main aim is to solve and estimate a medium-scale New-Keynesian model with Heterogeneous-Agents (HANK) that allows all the previous features to play a key role in determining business-cycle fluctuations. The interaction will be studied between household inequality and macroeconomic shocks, and the model will be used to test whether many of the modelling features routinely included in medium-scale models (with the only purpose of matching macroeconomic data) are consistent with the observed income and wealth distribution.

Funding Resource - This project has received funding from European Social Fund (project No 09.3.3-LMT-K-712-19-0158) under grant agreement with the Research Council of Lithuania (LMTLT).