scholarly journals APPLICATION OF STEPWISE DATA ENVELOPMENT ANALYSIS AND GREY INCIDENCE ANALYSIS TO EVALUATE THE EFFECTIVENESS OF EXPORT PROMOTION PROGRAMS

2013 ◽  
Vol 14 (3) ◽  
pp. 638-650 ◽  
Author(s):  
Seyed Hossein Razavi Hajiagha ◽  
Edmundas Kazimieras Zavadskas ◽  
Shide Sadat Hashemi
Keyword(s):  
Resource Allocation ◽  
Data Envelopment Analysis ◽  
International Markets ◽  
Export Promotion ◽  
Decision Makers ◽  
The Other ◽  
Data Envelopment ◽  
Different Types ◽  
Grey Incidence Analysis ◽  
Incidence Analysis

Export promotion programs are incentives to increase the participation of companies in international markets. On the other hand, governments try to help exporting companies with developing their goal markets. Therefore, for this purpose, many different programs have been created. To show the effectiveness of these programs, the paper refers to stepwise DEA and grey incidence analysis. Finally, the article determines a unified ranking of the applied programs that can be used by decision makers for resource allocation considering different types of programs based on their effectiveness.

DEA models for two decision makers with conflicts: the principal-agent problem

2019 ◽  
Vol 53 (3) ◽  
pp. 749-765
Author(s):  
Yuandong Gu ◽  
Linlin Zhao ◽  
Yong Zha ◽  
Liang Liang
Keyword(s):  
Data Envelopment Analysis ◽  
Electric Power ◽  
Incentive Contracts ◽  
Decision Makers ◽  
The Other ◽  
Principal Agent ◽  
Data Envelopment ◽  
Principal Agent Problem ◽  
Dea Models ◽  
The Impact

This paper studies the impact of two decision makers’ interaction with conflicts on the efficiencies of the system. We start with a general principal-agent framework where the principal and the agent make decisions independently and the principal has a contradictive objective to that of the agent. We develop data envelopment analysis (DEA) models in the principal’s and the agent’s perspectives respectively. Non-cooperation between the principal and the agent is discussed to illustrate how one decision maker affects the other and the corresponding efficiency and incentive contract of the system. In addition, cooperation of the two parties is also analyzed to better derive how the performance of the system is influenced by the parties and their interactions as well. Then, this study illustrates the proposed models and effective incentive contracts by applying them to the efficiency evaluations of 22 China listed electric power companies.

Key principles for the improved conduct of health technology assessments for resource allocation decisions

2008 ◽  
Vol 24 (03) ◽  
pp. 244-258 ◽  
Author(s):  
Michael F. Drummond ◽  
J. Sanford Schwartz ◽  
Bengt Jönsson ◽  
Bryan R. Luce ◽  
Peter J. Neumann ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Health Technology ◽  
Resource Allocation Decision ◽  
Decision Makers ◽  
Costs And Benefits ◽  
Allocation Decision ◽  
Health Technologies ◽  
System A ◽  
Different Types ◽  
Allocation Decisions

Health technology assessment (HTA) is a dynamic, rapidly evolving process, embracing different types of assessments that inform real-world decisions about the value (i.e., benefits, risks, and costs) of new and existing technologies. Historically, most HTA agencies have focused on producing high quality assessment reports that can be used by a range of decision makers. However, increasingly organizations are undertaking or commissioning HTAs to inform a particular resource allocation decision, such as listing a drug on a national or local formulary, defining the range of coverage under insurance plans, or issuing mandatory guidance on the use of health technologies in a particular healthcare system. A set of fifteen principles that can be used in assessing existing or establishing new HTA activities is proposed, providing examples from existing HTA programs. The principal focus is on those HTA activities that are linked to, or include, a particular resource allocation decision. In these HTAs, the consideration of both costs and benefits, in an economic evaluation, is critical. It is also important to consider the link between the HTA and the decision that will follow. The principles are organized into four sections: (i) “Structure” of HTA programs; (ii) “Methods” of HTA; (iii) “Processes for Conduct” of HTA; and (iv) “Use of HTAs in Decision Making.”

scholarly journals A Range Adjusted Measure of Super-Efficiency in Integer-Valued Data Envelopment Analysis with Undesirable Outputs

2021 ◽  
Vol 9 (4) ◽  
pp. 378-398
Author(s):  
Chunhua Chen ◽  
Haohua Liu ◽  
Lijun Tang ◽  
Jianwei Ren
Keyword(s):  
Data Envelopment Analysis ◽  
Transportation Systems ◽  
Decision Makers ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Super Efficiency ◽  
Dea Model ◽  
Dea Models ◽  
Analysis Models ◽  
Transport Accidents

Abstract DEA (data envelopment analysis) models can be divided into two groups: Radial DEA and non-radial DEA, and the latter has higher discriminatory power than the former. The range adjusted measure (RAM) is an effective and widely used non-radial DEA approach. However, to the best of our knowledge, there is no literature on the integer-valued super-efficiency RAM-DEA model, especially when undesirable outputs are included. We first propose an integer-valued RAM-DEA model with undesirable outputs and then extend this model to an integer-valued super-efficiency RAM-DEA model with undesirable outputs. Compared with other DEA models, the two novel models have many advantages: 1) They are non-oriented and non-radial DEA models, which enable decision makers to simultaneously and non-proportionally improve inputs and outputs; 2) They can handle integer-valued variables and undesirable outputs, so the results obtained are more reliable; 3) The results can be easily obtained as it is based on linear programming; 4) The integer-valued super-efficiency RAM-DEA model with undesirable outputs can be used to accurately rank efficient DMUs. The proposed models are applied to evaluate the efficiency of China’s regional transportation systems (RTSs) considering the number of transport accidents (an undesirable output). The results help decision makers improve the performance of inefficient RTSs and analyze the strengths of efficient RTSs.

scholarly journals PENGUKURAN EFISIENSI AGROINDUSTRI PANGAN LOKAL ENBAL DENGAN PENDEKATAN DATA ENVELOPMENT ANALYSIS

2017 ◽  
Vol 13 (1) ◽  
pp. 1
Author(s):  
Natelda R Timisela ◽  
Ester D Leatemia ◽  
Febby J Polnaya ◽  
Rachel Breemer
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Production Cost ◽  
Efficiency Analysis ◽  
The Other ◽  
Data Envelopment ◽  
Sago Starch ◽  
Good Efficiency ◽  
Business Efficiency ◽  
Production Increase

The current research aimed to analyze the relative efficiency level of enbal (sago starch) agro-industries. The relative efficiency analysis on 32 DMUs of enbal agro-industries showed that 40,63% of the industries were efficient and 59.38% were inefficient. Every efficient DMU became the reference for the inefficient DMUs based on the suggested quality. Each DMU of the enbal agro-industries has not reached a good efficiency level, which was indicated by the average relative efficiency scale of 0.886. This was a relatively low value, and improvements on the use of production input were needed. The analysis result on the DMUs of the enbal agro-industries which were on constant return to scale position were 40,62%. This showed that enbal agro-industries actors have applied production input efficiently, for the production increase was equal to the use of input. In other words, the use of input was more proportional. The DMUs of enbal agro-industries which were on decreasing return to scale position were 15,63%. This showed that the use of production input had been unsuitable so that the output decreases and the production cost increased. Meanwhile, the DMUs that were on increasing return to scale position were 43,75%. This showed that the industry actors who used certain production input would create efficient DMUs. On the other hand, the input excess would possibly decrease the output. As a result, the industry actors should be concerned about the use of production input in order to establish business efficiency.

THE IMPACTS OF BIASED RESOURCE ALLOCATION ON THE EFFECTIVENESS OF OFFICIAL DEVELOPMENT ASSISTANCE

2018 ◽  
Vol 65 (01) ◽  
pp. 239-256
Author(s):  
SUNG-KO LI ◽  
CHUN-KEI TSANG
Keyword(s):  
Economic Growth ◽  
Resource Allocation ◽  
Developing Countries ◽  
Data Envelopment Analysis ◽  
Development Assistance ◽  
Official Development Assistance ◽  
Data Envelopment ◽  
Allocation Of Resources ◽  
Negative Impacts

Many developing countries are receiving official development assistance (ODA). Whether ODA is beneficial or harmful to the receiving country is controversial in the literature. This paper analyzes this issue from a new angle by adopting the framework of competitiveness which allows us to link resource allocation with economic growth. Under this framework, we point out that the mechanism of resource allocation influences the effectiveness of ODA on economic growth. By applying data envelopment analysis (DEA) to competitiveness, we capture the effects of inefficient and biased allocation of resources on ODA. The data confirm the co-existence of positive and negative impacts of ODA. Finally, we conclude that current ODA is not efficient in helping most of the receiving countries.

Evaluation of Supply Chain Efficiency Based on a Novel Network of Data Envelopment Analysis Model

2015 ◽  
Vol 25 (14) ◽  
pp. 1540036 ◽  
Author(s):  
Li Fang Fu ◽  
Jun Meng ◽  
Ying Liu
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Decision Makers ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Analysis Model ◽  
Multilayer Network ◽  
Supply Chain Efficiency ◽  
Proposed Model

Performance evaluation of supply chain (SC) is a vital topic in SC management and inherently complex problems with multilayered internal linkages and activities of multiple entities. Recently, various Network Data Envelopment Analysis (NDEA) models, which opened the “black box” of conventional DEA, were developed and applied to evaluate the complex SC with a multilayer network structure. However, most of them are input or output oriented models which cannot take into consideration the nonproportional changes of inputs and outputs simultaneously. This paper extends the Slack-based measure (SBM) model to a nonradial, nonoriented network model named as U-NSBM with the presence of undesirable outputs in the SC. A numerical example is presented to demonstrate the applicability of the model in quantifying the efficiency and ranking the supply chain performance. By comparing with the CCR and U-SBM models, it is shown that the proposed model has higher distinguishing ability and gives feasible solution in the presence of undesirable outputs. Meanwhile, it provides more insights for decision makers about the source of inefficiency as well as the guidance to improve the SC performance.

Measuring technical, allocative and economic efficiencies of dairy farms in western Turkey

2016 ◽  
Author(s):  
Mustafa Terin ◽  
Murat Kulekci ◽  
Ibrahim Yildirim
Keyword(s):  
Data Envelopment Analysis ◽  
Dairy Cattle ◽  
Agricultural Development ◽  
Dairy Farms ◽  
The Other ◽  
Data Envelopment ◽  
Western Turkey ◽  
Current Output ◽  
Production Value ◽  
Cattle Farms

A study was conducted to determine the input efficiencies of 43 dairy cattle farms under the aegis of Agricultural Development Cooperative in Erikler Village of Center Town of Kirklareli Province in Western Turkey. Data envelopment analysis was used. The technical, allocative and economical efficiencies were found to be as 0.66, 0.43 and 0.23 respectively. The analysis results showed that only 23.26% of the farms were efficient (they had constant return to scale) regarding the usage of major inputs while the remaining 76.74% had increasing return to scale, indicating that these farms could maintain the current output with decreasing current inputs. The current output (gross production value) per cow could be maintained by saving 46.56, 46.72, 42.96, and 45.20% dry weed (kg), straw (kg), concentrated feed (kg), and labour (hour), respectively along with 39.82% veterinary and 46.73% the other expenses.

Interval Data Envelopment Analysis for Inter-Group Data Usage

2020 ◽  
Vol 24 (1) ◽  
pp. 113-122
Author(s):  
Tomoe Entani ◽  
Keyword(s):  
Data Envelopment Analysis ◽  
Efficient Frontier ◽  
Original Data ◽  
Weight Vector ◽  
The Other ◽  
Data Envelopment ◽  
Broad Perspective ◽  
Data Usage ◽  
Group Data ◽  
Multiple Groups

Organizations are interested in exploiting the data from the other organizations for better analyses. Therefore, the data related policies of organizations should be sensitive to the data privacy issue, which has been widely discussed recently. The present study is focused on inter-group data usage for a relative evaluation. This research is based on the data envelopment analysis (DEA), which is used to measure the efficiency of a decision making unit (DMU) relatively employed within a group. In DEA, establishing an efficient frontier consisting of efficient DMUs is essential. We can obtain the efficiency values of a DMU by projecting it to the efficient frontier, and including in the efficiency interval via the interval DEA. When the original data of multiple groups are not open to each other, the alternative is to exchange the information corresponding to the efficient frontiers to estimate the efficiency intervals of a DMU in such a manner that the alternative is in the other groups. Therefore, in this paper, we propose a method to replace the efficient frontier with a weight vector set, from which it is not possible to reconstruct the original data. Considering the weight vector sets of multiple groups, a DMU has three types of efficiency intervals: in its own group, in each of the other groups, and in the integrated group. They provide rich insights on the DMU from a broad perspective, and this encourages inter-group data usage. In this process, we focus on two types of information reduction: one is from the efficient frontier to the weight vector set, and the other is from a union of the groups to the integrated group.

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