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

2016 ◽  
Vol 28 (1) ◽  
pp. 83-89 ◽  
Author(s):  
Giedrė Dzemydaitė ◽  
Ignas Dzemyda ◽  
Birutė Galinienė

Abstract This paper evaluates the Eastern and Central EU regions according to the efficiency level of innovation systems by application of nonparametric data envelopment analysis (DEA). The most technologically inefficient NUTS2 regions of Central and Eastern EU are identified. The governmental institutions in these regions should enforce a higher level of regional innovative activity, as regional potential to create a higher value to the economy with current resources has not been reached yet.

2019 ◽  
Vol 7 (1) ◽  
pp. 498-509 ◽  
Author(s):  
Yelena Vechkinzova ◽  
Yelena Petrenko ◽  
Stanislav Benčič ◽  
Dmitriy Ulybyshev ◽  
Yerlan Zhailauov

Proceedings ◽  
2020 ◽  
Vol 38 (1) ◽  
pp. 20
Author(s):  
Manuel Jesús Hermoso-Orzáez ◽  
Miriam García-Alguacil ◽  
Julio Terrados-Cepeda ◽  
Paulo Brito

In recent years there has been growing interest in measuring the environmental efficiency of the different territories, countries and/or nations. This has led to the development of different methods applied to the evaluation of environmental efficiency such as the Data Envelopment Analysis (DEA) method. This method, supported by different studies, allows measuring relative environmental efficiency and is consolidated as a very reliable method to measure the effectiveness of environmental policies in a specific geographical area. The objective of our study is the calculation of the environmental efficiency of the 28 member countries of the European Union (EU) through the DEA method. We will collect the data regarding the last years in which there are reliable comparative data in all. We will study in reference to them, the results of the environmental policies applied in the different countries, in order to make comparisons between countries and classify them according to their environmental efficiency. Using this, two variants of calculation within the DEA method to compare in a contrasted way the results of environmental efficiency for the 28 countries of the European Union (EU) analyzed and propose possible solutions for improvement. Contributing in this work as main novelty the application of a new variant of the DEA Method, which we will call Improved Analysis Method (MAN) and that aims to agglutinate and assess more objectively, the results of the two DEA methods applied. The results show that there are 14 of the 28 countries that have a high relative environmental efficiency. However, we also find countries with very low environmental efficiency that should improve in the coming years. Coinciding precisely in this last group with countries recently admitted to the EU and where environmental policies have not yet been applied effectively and with positive results.


Author(s):  
Roman Sass

The paper aims to determining the farms’ capabilities to develop measured with their technical and financial effectiveness as well as the investments’ net volume. The research covers the farms from the Bydgoszcz’s sub-region (former province of Bydgoszcz) which prior to accession to the European Union took advantage of preferential loans. At the same time in the years 2004-2015 they uninterruptedly conducted accountancy in the Polish FADN system. The technical effectiveness of the farms has been determined with the use of the non-parametric DEA method – Data Envelopment Analysis, while for the purposes of the financial standing of farms’ analysts, there has been used the value creation index. In order to determine farms’ development capacity (competitive farms) the Boston Consulting Group (BCG) modified matrix has been applied. It results from the conducted studies, that in the best situation are the farms which have been rated among the group of leaders, as were characterised by the highest technical and financial effectiveness and also the highest level of net investments. The endangered farms are in the worst situation. In spite of the fact that these farms’ technical effectiveness was high, the developmental restrictions result from low scale of production. Competitiveness of farms is closely connected with their area.


Sign in / Sign up

Export Citation Format

Share Document