Giedrė Dzemydaitė, Ignas Dzemyda and Birutė Galinienė
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
., & Garcia-del-Barrio, P. (2008). Efficiency measurement of the English Football Premier League with a random frontier model. Economic Modelling , 25(5), 994-1002. http://dx.doi.org/10.1016/j.econmod.2008.01.004
5. Benicio, J. D. C.T., Bergiante, N. C. R., & Soares, D. M. J. C. C. B. (2013). A FDH study of the Vancouver 2010 Winter Olympic Games. WSEAS Transaction on Systems , 12(3), 179-188.
6. Bosca, J. E., Liern, V., Martinez, A., & Sala, R. (2009). Increasing offensive or defensive efficiency? An analysis of Italian and Spanish football. Omega , 37(1), 63
Māris Balodis, Valērijs Skribans and Poļina Ivanova
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.
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
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
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.
Fisher, M. M., Mark, F. E., Kingsbury, T., Vehlow, J., & Yamawaki, T. (2005). Energy recovery in the sustainable recycling of plastic from end-of-life electrical and electronic products. In: International Symposium on Electronics and the Environment (2005 ISEE/Summit).
Flash Eurobarometer. (2011). Attitudes of Europeans towards resource efficiency . Analytical report, Flash EB Series No. 316. Brussels: European Commission.
Flash Eurobarometer. (2014). Attitudes of Europeans towards waste management
Porter, M. E., & Emmons, W. M. (2003). Institutions for collaboration: Overview. Harvard Business School Background Note , 703-436.
Resbeut, M., & Gugler, P. (2016). Impact of clusters on regional economic performance: A methodological investigation and application in the case of the precision goods sector in Switzerland. Competitiveness Review: An International Business Journal , 26 (2), 188-209.
Resbeut, M., Gugler, P., & Charoen, D. (2019). Spatial agglomeration and specialization in emerging markets: Economic efficiency of clusters in Thai industries
Saša Ranđelović, Jelena Žarković Rakić, Marko Vladisavljević and Sunčica Vujić
Aaberge, R., Colombino, U., & Strøm, S. (1999). Labour supply in Italy: An empirical analysis of joint household decisions, with taxes and quantity constraints. Journal of Applied Econometrics , 14 , 403-422. https://doi.org/10.1002/(SICI)1099-1255(199907/08)14:4<403::AIDJAE520>3.0.CO;2-4
Arandarenko, M., & Vukojević, V. (2008). Labor costs and labor taxes in the Western Balkans. In C. Bredenkamp, M. Gragnolati & V. Ramljak (Eds.), Enhancing efficiency and equity: Challenges and reform opportunities facing health and pension systems in
2005, 24, 41-71.
O’Donnell, E. & Johnson, E. N. (2001). The Effects of Auditor Gender and Task Complexity on Information Processing Efficiency. International Journal of Auditing , 5(2), 91–105.
Pablo, A, Sitkin, S. & Jemison, D. (1996). Acquisition Decision-Making Processes: The Central Role of Risk. Journal of Management , 22, 723-746.
Pintrich, P. R. & de Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology , 82(1), 33-40.
Pintrich, P. R. & Schrauben