Sustainable energy in Baltic States

Klevas, Valentinas; Štreimikienė, Dalia; Grikstaite, Ramute

doi:10.1016/j.enpol.2005.10.009

Cited by 33 publications

(16 citation statements)

References 4 publications

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“…EU Structural Funds have financed renewable energy technology development in some Baltic Sea states including Lithuania and Poland. Klevas, Streimikiene, and Grikstate (2007) indicated that Lithuania used the EU Structural Funds to promote national sustainable energy development. Streimikiene, Klevas, and Bubeliene (2007) suggested enhancing the use of EU Structural Funds for sustainable energy technology development in new EU members.…”

Section: Discussionmentioning

confidence: 99%

Estimation of energy productivity change in Baltic Sea and EU non-Baltic Sea states

Chang

2017

Baltic Journal of Economics

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The Baltic Sea states and the European Commission initiated the intergovernmental Baltic Sea Energy Cooperation (BASREC) in 1998 and established it the following year. The aim of this study is to examine and compare the energy productivity change, energy technical change, and energy efficiency change in Baltic Sea states and non-Baltic Sea states using the Malmquist-DEA approach. The main results indicate that energy productivity in the Baltic Sea states has been improved, with this mainly caused by energy technology progression; however, the improvement in energy efficiency is not so obvious. In addition, the subsample includes 10 former communist countries, showing that the source of their energy productivity change not only comes from energy technical change, but also energy efficiency changes. In other words, the catching up effect in the 10 former communist countries is more obvious than that in the Baltic Sea states. ARTICLE HISTORY

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Section: Discussionmentioning

confidence: 99%

Estimation of energy productivity change in Baltic Sea and EU non-Baltic Sea states

Chang

2017

Baltic Journal of Economics

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“…This could be due to the inadequate distribution of the financing. Klevas et al (2007) [26] claimed that, unfortunately, the distribution of funds should have been more oriented towards sustainable development. Branzas and Gurgen (2014) [27] supported this statement by researching in Romania; according to them, Central and Eastern Europe Countries received the same amount of financing despite the level of their development.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Impact of Investment Sources for Sustainability on a Country’s Sustainable Development: Evidence from the EU

2020

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All countries face several issues while running the process of sustainable development—the absence of a uniform means of sourcing investment for sustainable development and the lack of a unified index for the evaluation of sustainable development. No doubt, ensuring sustainable development requires constant financial investments. Hence, it is essential to examine the investment sources for sustainable development at the country level and to comprehend if the current financial investment has a direct impact on the results of a country’s sustainable development. The article aims at identifying the financing sources for sustainable development for each of the European Union (EU) countries and assessing their impact on each of the EU countries’ sustainable development, which is expressed as the Integrated Sustainable Development Index (ISDI). After the detailed analysis of investment sources for the sustainability of the EU countries, two sources of investment, assignation of budget and the EU structural funds, were selected, and ISDI calculation was applied for twenty-five of the EU member states for the period 2003–2017. Correlation analysis (using SPSS software) helped to identify the strength of the connection and to select countries for the Johansen Cointegration Test (using Eviews software) in order to determine how variables interact. The results show that the combination of the assignation of budget and the EU structural funds has a positive impact on the coherence of five (Czech Republic, Denmark, Spain, Slovenia, and Austria) out of twenty-four countries.

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“…Along this track, Christoph and Perrels used scenario analysis and an input-output model and studied the relationship between biomass power and CO2 emissions [2]. Klevas and Denis used DEA to analyze the technical efficiency of some common renewable technologies, including biomass technology [3,4]. Based on their methods, Peng Zhou in China meliorated the DEA model and made it suitable for overall efficiency assessment [5].…”

Section: Literature Review and Emerged Concernsmentioning

confidence: 99%

Biomass Power Generation Industry Efficiency Evaluation in China

Qin

Tao

2014

Sustainability

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Abstract:In this paper, we compare the properties of the traditional additive-based data envelopment analysis (hereafter, referred to as DEA) models and propose two generalized DEA models, i.e., the big M additive-based DEA (hereafter, referred to as BMA) model and the big M additive-based super-efficiency DEA (hereafter, referred to as BMAS) model, to evaluate the performance of the biomass power plants in China in 2012. The virtues of the new models are two-fold: one is that they inherited the properties of the traditional additive-based DEA models and derived more new additive-based DEA forms; the other is that they can rank the efficient decision making units (hereafter, referred to as DMUs). Therefore, the new models have great potential to be applied in sustainable energy project evaluation. Then, we applied the two new DEA models to evaluate the performance of the biomass power plants in China and find that the efficiency of biomass power plants in the northern part of China is higher than that in the southern part of China. The only three efficient biomass power plants are all in the northern part of China. Furthermore, based on the results of the Wilcoxon-Mann-Whitney rank-sum test and the Kolmogorov-Smirnov test, there is a great technology gap between the biomass power plants in the northern part of China and those in the southern part of China.

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Sustainable energy in Baltic States

Cited by 33 publications

References 4 publications

Estimation of energy productivity change in Baltic Sea and EU non-Baltic Sea states

Estimation of energy productivity change in Baltic Sea and EU non-Baltic Sea states

Impact of Investment Sources for Sustainability on a Country’s Sustainable Development: Evidence from the EU

Biomass Power Generation Industry Efficiency Evaluation in China

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