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Cost Efficiency of Banks in Croatia

References 1. Ariss, R. T. (2010). On the implications of market power in banking: Evidence from developing countries. Journal of banking & Finance , Vol. 34, pp. 765-775. 2. Berger, A. (1993). ’Distribution-Free’ Estimates of Efficiency in the U.S. Banking Industry and Tests of the Standard Distributional Assumptions. Journal of Productivity Analysis , Vol. 4, pp. 261-292. 3. Berger, A., Hannan T. (1998). The efficiency cost of market power in the banking industry: A test of the “quiet life” and related hypotheses, Review of Economics and

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The Efficiency of Public Procurement in the Republic of Kosovo: An Econometric Approach

.100. https://www.ebrd.com Efficiency Unit. (2010). Management Study on Procurement and Related Management Issues . LC Paper No. CB (2)835/10-11(01), https//www.legco.gov.hk >panels>papers Estache, A., & Iimi, A. (2011). Bidders’ Entry and Auctioneer’s Rejection: Applying a Double Selection Model to Road Procurement Auctions . Journal of applied economics, Vol. 14 (2), 199-223. EC, (2010). Green Paper. On expanding the use of e-Procurement in the EU, SEC (2010) 1214. pp 23. https//www.ec.europa.eu >docs>e-procurement EC, (2015

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The Efficiency of Regional Innovation Systems in New Member States of the European Union: A Nonparametric DEA Approach

.1467-9787.2010.00705.x Bai, J. (2013). On Regional Innovation Efficiency: Evidence from Panel Data of China’s Different Provinces, Regional Studies, 47(5), 773-788. http://dx.doi.org/10.1080/00343404.2011.591784 Bosco, M., G., Brugnoli, A. (2010). Regional Efficiency, Innovation and Productivity. RSA Conference proceedings, Pecs. Broekel, T. (2012). Collaboration Intensity and Regional Innovation Efficiency in Germany - A Conditional Efficiency Approach. Industry and Innovation, 19(2), 155-179. http://dx.doi.org/10

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Cluster analysis and artificial neural networks in predicting energy efficiency of public buildings as a cost-saving approach

. (2016). Soft computing methodologies for estimation of energy consumption in buildings with different envelope parameters. Energy Efficiency , Vol. 9, No. 2, pp. 435-453. 8. Patterson, M. G. (1996). What is energy efficiency?: Concepts, indicators and methodological issues. Energy Policy , Vol. 24, No. 5, pp. 377-390. 9. Prieto, A., Prieto, B., Martinez Ortigosa, E., Ros, E., Pelayo, F., Ortega, J., Rojas, I. (2016). Neural networks: An overview of early research, current frameworks and new challenges. Neurocomputing , Vol. 204, pp. 242-268. 10

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Impact of the Corporate Governance Reform on the Management Effectiveness of State-Owned Enterprises in Lithuania in 2012–2014

-265 Jurkonis, L., “Valstybės valdomų įmonių valdymo kontrolės ir autonomijos poveikis veiklos efektyvumui”, VU Politologija, 2012/2 (66), ISSN 1392-1681 Jurkonis, L., Aničas, I., Impact of the board on management of Lithuanian state-owned enterprises, ISSN 1392-1258, VU Ekonomika, 2015 Vol. 94(3) Jurkonis, L., Petrusauskaitė, D., “Effects of corporate governance on management efficiency of Lithuanian state-owned enterprises”, ISSN 1392-1258. Ekonomika 2014 Vol. 93(2) Jurkonis, L.; Gineitienė, Z.; “Valstybės valdomų įmonių

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Development of a System Dynamics Model for Evaluation of the Impact of Integration of Renewable Energy Sources on the Operational Efficiency of Energy Supply Facilities: Theoretical Background

Abstract

Nowadays, energy companies operate in a highly competitive environment. To maintain the leader position, as a reaction to various changes energy companies must take appropriate steps in a timely manner.

Correct assessment of the situation ensures implementation of adequate measures. The situation can be assessed correctly by using a complex approach and/or analysing it according to the specific circumstances. The complex approach also envisages designing of an appropriate model, which studies the impact of changes on the research object, while dealing with the object within a system and as part of the system.

The article gives a theoretical background of the system dynamics model in order to evaluate the impact of integration of renewable energy sources (RES) on the operational efficiency of energy supply facilities (power and heat supply) on the national and regional levels, as well as provides the first modelling results.

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Renewable Energy Efficiency for Regional Development: Case of Belgorod Region

References A Guidebook to the Green Economy. Issue 4: A guide to the green economy initiatives. (2013). United Nations Division for Sustainable Development, UNDESA. p. 51. Retrieved from https://sustainabledevelopment.un.org/content/documents/916geguidebook4.pdf Bezrukih, P. P. (2012). Energoeffektivnost i ohrana okruzhajushhej sredy: aktualnye zadachi (Energy efficiency and environmental protection: actual issues). Bjulleten Instituta ustojchivogo razvitija Obshhestvennoj palaty RF (Bulletin of the Institute of Sustainable

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Efficient Use of Behavioral Tools to Reduce Electricity Demand of Domestic Consumers

-2601(08)60330-5 Cialdini, R. B., Reno, R. R., and Kallgren, C. A., 1990. A focus theory of normative conduct: Recycling the concept of norms to reduce littering in public places. Journal of Personality and Social Psychology, 58(6), 1015-1026. doi: http://dx.doi.org/10.1037/0022-3514.58.6.1015 Creyts, J., Derkach, A., Farese, P., Nyquist, S., and Ostrowski, K., 2009. Unlocking energy efficiency in the US economy. United Kingdom: McKinsey Global Energy and Materials. Darby, S., 2006. The Effectiveness of Feedback on Energy Consumption - A Review for Defra

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Expert In-depth Interview on Development and Efficiency of “RIGA International Airport” Reflecting Factors

References Ahn, Y-H., & Min, H. (2014). Evaluating the multi-period operating efficiency of international airports using data envelopment analysis and the Malmquist productivity index. Journal of Air Transport Management, 39, 12-22. http://dx.doi.org/10.1016/j.jairtraman.2014.03.005 Airports Council International official website. Available www.aci.aero Retrieved from 12.04.2014. Allroggen, F., & Malina, R. (2014). Do the regional growth effects of air transport differ among airports? Journal of Air Transport

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Modelling Support Mechanism Impact on Electric Vehicle Registration in Latvia

Abstract

Globalization has led to an increased anthropological impact on the climate, and transport is one of the most greenhouse gas (GHG) intensive sectors that is facilitating it. Transport generated around 14 percent of global GHG emissions in 2010. Transport decarbonization is vital for limiting climate change, and electric vehicle (EV) is one of the solutions. EV prevalence in Latvia after Climate Financial Instrument (CCFI) funding has steadily increased and the average yearly EV growth has remained at 0.09 percent among newly registered light-duty passenger vehicles. The aim of this research is to model the impact of different direct and indirect support mechanisms on EV growth in Latvia taking into account the costs of the given support mechanisms. Accordingly, theoretical literature and research on vehicle decarbonization, EV support mechanisms, and barriers were analyzed. In order to obtain the data related to individual attitude towards EVs and their support policies a survey of different age groups was conducted. Based on the theoretical literature, a model was devised using STELLA software. The model was verified and validated. The results of the model indicate that until 2030 direct subsidies of at least 45 percent will have the largest impact on EV registration, while decreasing VAT by at least 9 percent is the most cost-effective option. The results regarding indirect support mechanisms show that free charging and development of charging infrastructure, as well as improvements to EV related technologies would increase EV registration. However, to ensure sustainable support to EVs it is advisable to combine direct incentives with indirect support mechanisms. Combining different policies lowers incentive costs and increases their efficiency.

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