Eco-efficiency assessment of industrial parks in Central China: a slack-based data envelopment analysis

Author(s):  
Gengyu Gao ◽  
Shanshan Wang ◽  
Ruoyu Xue ◽  
Donghui Liu ◽  
Bingyi Huang ◽  
...  
2015 ◽  
Vol 8 (4) ◽  
pp. 222-227
Author(s):  
Maurizio Bevilacqua ◽  
Filippo Emanuele Ciarapica ◽  
Giovanni Mazzuto ◽  
Claudia Paciarotti

2015 ◽  
Vol 2 (02) ◽  
pp. 113-126
Author(s):  
J.M.V. Mulyadi

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


2020 ◽  
Vol 10 (5) ◽  
pp. 1760 ◽  
Author(s):  
Chia-Nan Wang ◽  
Hsien-Pin Hsu ◽  
Yen-Hui Wang ◽  
Tri-Tung Nguyen

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.


Energy Policy ◽  
2019 ◽  
Vol 134 ◽  
pp. 110921 ◽  
Author(s):  
Patricia Zurano-Cervelló ◽  
Carlos Pozo ◽  
Josep María Mateo-Sanz ◽  
Laureano Jiménez ◽  
Gonzalo Guillén-Gosálbez

Healthcare ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 189
Author(s):  
Chien-Wen Shen ◽  
Chin-Hsing Hsu ◽  
For-Wey Lung ◽  
Pham Thi Minh Ly

This study proposes the approach of context-dependent data envelopment analysis (DEA) to measure operating performance in halfway houses to enable suitable adjustments at the current economic scale. The proposed approach can be used to discriminate the performance of efficient halfway houses and provide more accurate DEA results related to the performance of all halfway houses in a region or a country. The relative attractiveness and progress were also evaluated, and individual halfway houses’ competitive advantage and potential competitors could be determined. A case study of 38 halfway houses in Taiwan was investigated by our proposed approach. Findings suggest that fifteen halfway houses belong to the medium level, which can be classified into a quadrant by examining both their attractiveness score and progress score. The results can be used to allocate community resources to improve the operational directions and develop incentives for halfway houses with attractive and progressive values, which can reduce the institutionalization and waste of medical resources caused by the long-term hospitalization of patients with mental illnesses. Our proposed approach can also provide references for operators and policy makers to improve the management, accreditation, and resource allocation of institutions.


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