Data Envelopment Analysis Application in Turkish Energy Market

Coşgun, Özlem; Kaya, Gamze Ogcu

doi:10.1080/18756891.2014.960223

Cited by 3 publications

(1 citation statement)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The advantage lies in the ability to evaluate the efficiency of similar decision-making units (DMUs) with multiple input and output indicators and complex relationships. Since it was proposed, it is a popular approach and has been widely discussed in the literature [2][3][4][5]. The traditional three-stage DEA model established on the DEA model firstly proposed by Fried et al [6], which takes into account the influence of external environment and random errors on the efficiency calculation based on Stochastic Frontier Analysis (SFA).…”

Section: Introductionmentioning

confidence: 99%

An Extended Three-Stage DEA Model with Interval Inputs and Outputs

Cheng¹,

Wang²,

Wang³

2020

IJCIS

View full text Add to dashboard Cite

The traditional three-stage data envelopment analysis (DEA) model only measures exact input-output indicator data, but cannot perform efficiency analysis on uncertain data. The interval DEA method does not exclude the influence of external environmental factors. Therefore, this paper combines the traditional three-stage DEA model with the interval DEA method, and proposes a three-stage interval DEA efficiency model, which eliminates the impact of external environmental factors and realizes the measurement of the efficiency for interval data. From the perspective of the impact of environmental factors, defining the degree of efficiency change vector, a clustering analysis technique based on the efficiency change degree vector is proposed to provide improvement benchmark for poorly performing decision-making units. Finally, an example is used to demonstrate the feasibility and validity of the proposed method in this paper.

show abstract

Section: Introductionmentioning

confidence: 99%

An Extended Three-Stage DEA Model with Interval Inputs and Outputs

Cheng¹,

Wang²,

Wang³

2020

IJCIS

View full text Add to dashboard Cite

show abstract

Do operation and maintenance contracts help photovoltaic poverty alleviation power stations perform better?

Zhang

Ding²,

Dai³

et al. 2022

Energy

View full text Add to dashboard Cite

Performance evaluation of thermal power plants considering CO2 emission: A multistage PCA, clustering, game theory and data envelopment analysis

Mahmoudi

Emrouznejad

Khosroshahi

et al. 2019

Journal of Cleaner Production

View full text Add to dashboard Cite

Data envelopment analysis is a relative performance assessment method to evaluate performance of a group of decision making units. Empirically, when the number of decision making units is insufficient, the classical data envelopment analysis models cannot discriminate the efficient units perfectly. To overcome this issue, in this paper, several mathematical approaches, including "multivariate data analysis techniques", "game theory", ESSSum of square deviations of members of cluster j from the cluster's center Highlights Multistage data analysis and game theory are combined with DEA to overcome the problem insufficient number of DMUs  An approach is proposed to integrate the results of different DEA models  The proposed approaches are applied to evaluate the performance of Iranian thermal power plants  The power plants should move from governmental structure toward becoming private  New cleaner production systems should be installed

show abstract

Data Envelopment Analysis Application in Turkish Energy Market

Cited by 3 publications

References 36 publications

An Extended Three-Stage DEA Model with Interval Inputs and Outputs

An Extended Three-Stage DEA Model with Interval Inputs and Outputs

Do operation and maintenance contracts help photovoltaic poverty alleviation power stations perform better?

Performance evaluation of thermal power plants considering CO2 emission: A multistage PCA, clustering, game theory and data envelopment analysis

Contact Info

Product

Resources

About