Efficiency assessment of electricity generation in China using meta-frontier data envelopment analysis: Cross-regional comparison based on different electricity generation energy sources

A B S T R A C T Bank efficiency are important in the assessment of the health of banks. Data Envelopment Analysis is a model of efficiency assessment bank that is widely used because it provides a more detailed analysis of the results compared to financial ratios. Analysis carried out by the production approach, intermediation, revenues and profits. This study assesses the 10 major banks in Indonesia. The results showed that of the 10 large banks are still found inefficiencies. DEA resulted in a recommendation that development can be done bank to achieve optimum efficiency. Based on the recommendation expected the bank to maximize the desired profit through efficiency. A B S T R A K Efisiensi bank merupakan hal penting dalam penilaian kesehatan bank. Data Envelopment Analysis adalah model penilaian efisiensi bank yang banyak digunakan karena memberikan hasil analisis yang lebih detil dibandingkan rasio keuangan. Analisi dilakukan dengan pendekatan produksi, intermediasi, pendapatan dan laba. Penelitian ini melakukan penilaian pada 10 bank besar di Indonesia. Hasil penelitian menujukkan bahwa dari 10 bank besar tersebut masih ditemukan inefisiensi. DEA menghasilkan rekomendasi pengembangan yang dapat dilakukan bank untuk mencapai efisiensi optimum. Berdasarkan rekomendasi tersebut diharapkan bank dapat memaksimumkan profit yang diinginkan melalui efisiensi. JEL Classification: G29, O33

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Efficiency assessment of coal industry sustainable development by improved data envelopment analysis

2009 International Conference on Management Science and Engineering ◽

10.1109/icmse.2009.5318872 ◽

2009 ◽

Author(s):

Mei Song ◽

Li-jie Wang ◽

Wen-bin Li

Keyword(s):

Sustainable Development ◽

Data Envelopment Analysis ◽

Coal Industry ◽

Data Envelopment ◽

Efficiency Assessment

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Efficiency Assessment of Consumer’s Electronics Sector: Data Envelopment Analysis

Journal of Asia-Pacific Business ◽

10.1080/10599231.2021.1983502 ◽

2021 ◽

pp. 1-19

Author(s):

Rohit Bansal ◽

Sanjay Kar ◽

Shweta Gupta

Keyword(s):

Data Envelopment Analysis ◽

Data Envelopment ◽

Efficiency Assessment ◽

Sector Data ◽

Electronics Sector

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Analyzing the Efficiency of Renewable Energy Sources in Terms of Electricity Generation

Interdisciplinary Perspectives on Operations Management and Service Evaluation - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-7998-5442-5.ch008 ◽

2021 ◽

pp. 155-176

Author(s):

Talip Arsu

Keyword(s):

Renewable Energy ◽

Geothermal Energy ◽

Energy Supply ◽

Electricity Generation ◽

Renewable Energy Sources ◽

Biomass Energy ◽

Energy Sources ◽

Data Envelopment ◽

Efficiency Determination ◽

Energy Supply Security

Electricity generation, one of the renewable energy sources (RES), delivers a solution for various problems such as energy efficiency, energy supply security, reducing foreign dependency, and especially, environmental concerns. However, the solutions provided for these problems bring along the question of which RESs are produced more effectively. Therefore, in this research, RESs used for electricity generation in Turkey were analyzed by using generation data to show which one is more effective. Bi-objective multiple-criteria data envelopment analysis (BiO-MCDEA) method, a goal programming-based efficiency determination method, was used for the efficiency analysis conducted for five years between the years of 2014 and 2018. As a result of the analysis, geothermal energy came into prominence as the most effective RES for all of the years included in the solution. Geothermal energy was followed by biomass energy, wind energy, hydroelectric, and solar energy, respectively.

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Eco-Efficiency Assessment for Some European Countries Using Slacks-Based Measure Data Envelopment Analysis

Applied Sciences ◽

10.3390/app10051760 ◽

2020 ◽

Vol 10 (5) ◽

pp. 1760 ◽

Cited By ~ 2

Author(s):

Chia-Nan Wang ◽

Hsien-Pin Hsu ◽

Yen-Hui Wang ◽

Tri-Tung Nguyen

Keyword(s):

Data Envelopment Analysis ◽

Poor Performance ◽

European Countries ◽

Malmquist Productivity Index ◽

Productivity Index ◽

Measure Data ◽

Productivity Change ◽

Data Envelopment ◽

Efficiency Assessment ◽

Energy Inputs

One problem raised by the lack of energy efficiency is the generation of more greenhouse gases (GHGs) that can cause air pollution and climate change. Ecological efficiency (eco-efficiency) means the efficiency of resources used. A poor performance from this efficiency can then be detected for further improvement. In this research, we conduct an assessment on the eco-efficiency for some European countries as they consume a large part of global energy annually. A total of 17 European countries were selected as decision making units (DMUs) and assessed by the Slacks-based measure (SBM) Data Envelopment Analysis (DEA) model. Indices including Catch-Up, Frontier-Shift, and Malmquist Productivity Index (MPI) have been used to evaluate eco-efficiency, as well as efficiency change, technological change, and productivity change, over 2013–2017. In the model, energy consumption and share of renewable energy are used as energy inputs, and labor productivity and gross capital formation are used as economy inputs. On the other hand, GDP is used as a desired output, and CO2 emissions is used as one undesired output. The experimental results show that the 17 countries as a whole lacked eco-efficiency in 2013–2017, implying more efforts are required to improve their eco-efficiency.

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