scholarly journals A Data Envelopment Analysis based Research on the Economic Efficiency of Primary industry in Hohhot, Baotou and Ordos

2013 ◽  
Vol 5 (19) ◽  
pp. 4681-4684
Author(s):  
Yuan Yuan ◽  
Ji Rimutu ◽  
Ma Shengyun ◽  
Ma Zhanxin
Keyword(s):  
Data Envelopment Analysis ◽  
Economic Efficiency ◽  
Data Envelopment ◽  
Primary Industry

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

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.

scholarly journals Economic Efficiency of Stingless Bee Farms in Peninsular Malaysia Estimated by Data Envelopment Analysis (DEA)

2021 ◽  
Vol 29 (1) ◽  
Author(s):  
Norhidayah Che Soh ◽  
Nur Syahirah Samsuddin ◽  
Mohd Mansor Ismail
Keyword(s):  
Data Envelopment Analysis ◽  
Economic Efficiency ◽  
East Coast ◽  
Northern Region ◽  
Peninsular Malaysia ◽  
Stingless Bee ◽  
Food Sources ◽  
Data Envelopment ◽  
Important Indicator ◽  
Coast Region

The commercial stingless beekeeping industry has good economic growth potential in Malaysia, which is a tropical country rich in flora that serves as food sources for stingless bees. Local consumption of honey is increasing and its production locally can be raised to meet the demand by sustainable stingless beekeeping. An important indicator that measures the success of the industry is the economic efficiency of the farm. This study hence examined the cost efficiency (CE), technical efficiency (TE), and allocative efficiency (AE) of commercial stingless beekeeping farms in the East Coast and Northern regions of Peninsular Malaysia using Cost Data Envelopment Analysis (DEA) under the assumption of Constant Return to Scale (CRS). Interviews with 47 respondents in the East Coast region and 28 respondents in the Northern region showed that the average CE scores for the two regions were 0.291 and 0.172, respectively. TE for the East Coast region and Northern region were 0.656 and 0.385 while mean AE scores of 0.445 and 0.404 were obtained. Factors that influenced the efficiency of the farms included farmers’ years of schooling and extension officer visits. In conclusion, CE, TE, and AE of commercial stingless bee honey production in Peninsular Malaysia were fairly low, and the determinants responsible for this low efficiency is of concern. Economic efficiency in stingless beekeeping needs to be further elevated to optimise productivity.

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