scholarly journals Efficiency Development in the German Pharmaceutical Market

2020 ◽  
Vol 68 (5) ◽  
pp. 877-884
Author(s):  
Tim Gaebert ◽  
Michaela Staňková
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Malmquist Index ◽  
Pharmaceutical Market ◽  
Data Envelopment ◽  
Analysis Method ◽  
Efficiency Change ◽  
Negative Effects ◽  
Production Possibility ◽  
Production Possibility Set

Changes in Germany legislation since 2009 significantly limited the operation of German pharmacies. Since then, there has been a steady decline in the total number of pharmacies. This article deals with the efficiency change within the German retail and wholesale pharmaceutical sectors in the years 2009 to 2016. The efficiency calculation was based on the nonparametric data envelopment analysis method and the Malmquist index was used to evaluate changes. Two components of Malmquist index were also monitored separately, capturing changes in the area of technical efficiency and changes in the area of the production possibility set. The results point to the increasing efficiency which means that decreasing number of pharmacies is caused by concentration tendencies rather than by negative effects of government decisions.

scholarly journals Growth in Agricultural Productivity and Its Components in Bangladeshi Regions (1987–2009): An Application of Bootstrapped Data Envelopment Analysis (DEA)

Economies ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 37 ◽  
Author(s):  
Mita Bagchi ◽  
Sanzidur Rahman ◽  
Yao Shunbo
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Technical Change ◽  
Bias Correction ◽  
Technological Progress ◽  
Agricultural Extension ◽  
Data Envelopment ◽  
Crop Diversification ◽  
Factor Productivity ◽  
Efficiency Change

The present study applies a bootstrapped data envelopment analysis (DEA) procedure to compute bias-corrected measures of agricultural total factor productivity (TFP) change and its components (technical change and technical efficiency change) using a panel data of 19 regions of Bangladesh covering a 23-year period (1987–2009), thereby overcoming the limitation of the lack of statistical inference of the conventional non-parametric DEA. Results revealed that overall productivity grew at a modest rate of 0.03%, mainly powered by technological progress at 0.03% and a negligible decline in technical efficiency at 0.004% with large disparities amongst regions. Six regions in the middle order shifted ranks with regard to TFP change following bias correction. The estimated confidence intervals demonstrated that many regions underwent either progress or regress in productivity performance over time. Investments in research and development (R&D), agricultural extension, and crop diversification are suggested to improve regional inequality and declining technical efficiency.

Data Envelopment Analysis and Malmquist Index Application: Efficiency of Primary Health Care in Morocco and Covid-19

2021 ◽  
Vol 12 (5) ◽  
pp. 971-983
Author(s):  
Youssef Er Rays, Et. al.
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Malmquist Index ◽  
Policy Implications ◽  
Data Envelopment ◽  
Primary Health ◽  
Parametric Data ◽  
Strategic Role

The Primary Health Care in Morocco plays a very strategic role in the prevention against various diseases, in particular the current pandemic COVID 19. The efficiency of these centers has a direct impact on the reduction of this pandemic. First, this is why will try to research the literature review about the technical efficiency of primary health care. In the second step, the non-parametric: Data Envelopment Analysis method will be used to apply the empiric phase during the period 2012-2015, to estimate the relative technical efficiency, this method will be calculated by using two models: the theory of the return to scale constant with a middle equal to 0.437 and the theory of the variable return to scale with an average of 0.537. It’s necessary to combine the DEA approach with the Malmquist index to evaluate the factors of production. Finally, to compare the results of the proposed method which are generally very poor, and discuss his policy implications for health care.

State- Owned Forest Tenure Reform Efficiency Evaluation of Heilongjiang Province

2011 ◽  
Vol 66-68 ◽  
pp. 1917-1922
Author(s):  
Wei Wei Zhong ◽  
Yu Kun Cao
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Heilongjiang Province ◽  
Analysis Method ◽  
Tenure Reform ◽  
Forest Tenure ◽  
Forest Farm

This dissertation adopts Data Envelopment Analysis method, in accordance with principles of comprehensiveness, concise, relevance and relativity as well as decision package requirements on quality and quantity, it selects four input indexes as woodland area, stuff, technical stuff proportion and fund; two output indexes as live stumpage and output value of state-owned forest farm, and takes use of DEAP2.1 software based on input-oriented BCC model to make an efficiency evaluation of 11 state-owned forest farms which participate in forest tenure reform and 19 which does not. The result shows no matter it's technical efficiency, scale efficiency or pure technical efficiency, forest farms which carries out reform are more efficient that those which does not.

scholarly journals Novel models for obtaining the closest weak and strong efficient projections in data envelopment analysis

2021 ◽  
Vol 39 (5) ◽  
pp. 9-24
Author(s):  
Javad Vakili ◽  
Hanieh Amirmoshiri ◽  
Mir Kamal Mirnia
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Efficient Frontier ◽  
Data Envelopment ◽  
Nonparametric Method ◽  
Target Setting ◽  
Production Possibility ◽  
Production Possibility Set ◽  
And Performance ◽  
Decision Making Units

Data Envelopment Analysis (DEA) is a nonparametric method for measuring the relative efficiency and performance of Decision Making Units (DMUs). Traditionally, there are two issues regarding the DEA simultaneously i.e., the identification of a reference point on the efficient boundary of the production possibility set (PPS) and the use of some measures of distance from the unit under assessment to the efficient frontier. Due to its importance, in this paper, two alternative target setting models were developed to allow for lowefficient DMUs find the easiest way to improve its efficiency and reach to the efficient boundary. One seeks the closest weak efficient projection and the other suggests the most appropriate direction towards the strong efficient frontier surface. Both of these models provides the closest projection in one stage. Finally, a proposed problem is empirically checked by using a recent data related to 30 European airports.

scholarly journals Analysis of Technical Efficiency of Paddy and Maize Farming

2021 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Surojudin Sodiq ◽  
Tri Haryanto
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Average Level ◽  
Data Envelopment ◽  
Analysis Method

This study aims to determine the level of technical efficiency of paddy and maize farming in Gorontalo Province in 2019. The data used comes from the 2019 Ubinan Survey conducted by BPS Gorontalo Province. The total samples studied were 833 farming units, consisting of 392 paddy farming units and 441 maize farming units. The analysis method used is Data Envelopment Analysis (DEA). The results showed that most of the paddy and maize farming in Gorontalo Province in 2019 had not yet reached the full level of technical efficiency. The average level of technical efficiency in paddy farming was 68.7 percent, while the average level of efficiency in maize farming was only 56.7 percent. 

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