scholarly journals The Effect of the Launch of Bitcoin Futures on the Cryptocurrency Market: An Economic Efficiency Approach

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 413
Author(s):  
David Vidal-Tomás ◽  
Ana M. Ibáñez ◽  
José E. Farinós
Keyword(s):  
Data Envelopment Analysis ◽  
Economic Efficiency ◽  
Data Envelopment ◽  
Trade Off ◽  
Risk Return ◽  
Malmquist Indexes

We analyze the economic efficiency of the cryptocurrency market after the launch of Bitcoin futures by means of the Data Envelopment Analysis and Malmquist Indexes. Our results show that the introduction of Bitcoin futures did not affect the economic efficiency of the cryptocurrency market. However, we observe that Bitcoin obtained the highest risk-return trade-off due to its liquidity compared to the rest of cryptocurrencies. Therefore, our paper underlines the support of investors on Bitcoin to the detriment of the rest of cryptocurrencies.

scholarly journals Economic Efficiency of the Main Oil Producing Countries in Upstream Sector in the Period 2010-2017

2021 ◽  
Vol 17 (2) ◽  
pp. 1-17
Author(s):  
José César Lenin Navarro Chávez ◽  
Odette Virginia Delfín Ortega ◽  
Enrique Guardado Ibarra
Keyword(s):  
United States ◽  
United Kingdom ◽  
Data Envelopment Analysis ◽  
United Arab Emirates ◽  
Economic Efficiency ◽  
Allocative Efficiency ◽  
Oil Industry ◽  
Data Envelopment ◽  
Economic Vulnerability ◽  
Use Of Resources

This work aims to calculate the economic efficiency of the main upstream oil producing countries in 2010-2017, using the Data Envelopment Analysis (DEA) methodology. In the begining the technical efficiency is determined, next allocative efficiency is calculated to finally obtain the economic efficiency. The countries analyzed were: United States, Russia, Canada, China, United Arab Emirates, Kuwait, Brazil, Kazakhstan, Mexico, Angola, Venezuela, Algeria, United Kingdom, Holland, France and Spain. It can be seen from the results that no country was efficient in economic terms. However, Russia had the highest levels of economic efficiency, on the opposite side, France has the lowest values in this indicator. It is recommended to establish strategies in the sector to avoid economic vulnerability in some countries. The main limitation is the availability of the data. The originality of the research consists in obtaining economic efficiency in this industry, since there are no studies with these specific characteristics. It is concluded that in terms of economic efficiency, there was no adequate use of resources in the upstream oil industry.

scholarly journals Economic efficiency of radiology wards using data envelopment analysis: Case study of Iran

Health ◽  
2014 ◽  
Vol 06 (05) ◽  
pp. 311-316 ◽  
Author(s):  
Ali Keshtkaran ◽  
Mohsen Barouni ◽  
Ramin Ravangard ◽  
Mohammad Yandrani
Keyword(s):  
Data Envelopment Analysis ◽  
Economic Efficiency ◽  
Data Envelopment ◽  
Using Data

Collaborative Design Using Trade-Off Satisfying Method in Supervisor System

2000 ◽  
Author(s):  
Tomoyuki Miyashita ◽  
Hiroshi Yamakawa
Keyword(s):  
Data Envelopment Analysis ◽  
Decision Maker ◽  
Collaborative Design ◽  
Evaluation Criteria ◽  
The Other ◽  
Data Envelopment ◽  
Trade Off ◽  
Numerical Examples ◽  
Financial Difficulties ◽  
The Cost

Abstract Recent years, financial difficulties led engineers to look for not only the efficiency of the function of a product but also the cost of its development. In order to reduce the time for the development, engineers in each discipline have to develop and improve their objectives collaboratively. Sometimes, they have to cooperate with those who have no knowledge at all for their own disciplines. Collaborative designs have been studied to solve these kinds of the problems, but most of them need some sorts of negotiation among disciplines and assumes that these negotiations will be done successfully. However, in the most cases of real designs, manager of each discipline does not want to give up his or her own objectives to stress on the other objectives. In order to carry out these negotiations smoothly, we need some sort of evaluation criteria which will show efficiency of the product considering the designs by each division and if possible, considering the products of the competitive company, too. In this study, we use Data Envelopment Analysis (DEA) to calculate the efficiency of the design and showed every decision maker the directions of the development of the design. We will call here these kinds of systems as supervisor systems and implemented these systems in computer networks that every decision maker can use conveniently. Through simple numerical examples, we showed the effectiveness of the proposed method.

scholarly journals Economic Efficiency of Forest Enterprises—Empirical Study Based on Data Envelopment Analysis

Forests ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 462
Author(s):  
Nikolay Neykov ◽  
Stanislava Krišťáková ◽  
Iveta Hajdúchová ◽  
Mariana Sedliačiková ◽  
Petar Antov ◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
Economic Efficiency ◽  
Slovak Republic ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Factors Affecting ◽  
The Republic ◽  
Forest Enterprises ◽  
Major Factors

Countries are forced to develop bio-based economic strategies to promote efficient use of renewable natural resources. The transition towards a sustainable forest bio-based economy is associated with resource efficiency optimization, adoption of innovative bio-based approaches in terms of technological improvements and cost effectiveness, and an opportunity to reach multiple societal challenges. This paper is focused on a comparative analysis of the forestry sector in the Republic of Bulgaria and the Slovak Republic by estimating the economic efficiency of four Bulgarian state-owned forest enterprises and four Slovak forest enterprises. The evaluation of economic efficiency was carried out using selected indicators of the studied enterprises over a period of five years. A data envelopment analysis (DEA) approach was used as a non-parametric linear technique for measuring the relative efficiency of a set of production decision-making units (DMUs). The Malmquist productivity index (MPI) was used to assess the pure efficiency changes (PEC) and technological changes (TCs) of the studied forest enterprises. Data for 2014–2018 were processed. The results obtained for the economic efficiency study outlined the major factors affecting the differences in efficiency scores. The long-term sustainability and increased economic efficiency of forest enterprises in both countries can be achieved by improvements in forest management and investments in research and development activities.

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