An AHP-DEA Approach for Evaluating Electricity Generation Firms of OECD Countries

Kasap, Yaşar; Kiris, Safak

doi:10.1080/15567249.2011.647242

Cited by 11 publications

(4 citation statements)

References 17 publications

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“…Meskipun ketersediaan sumber produksi energi sangat berbeda, semuanya negara membutuhkan sumber energi yang murah, melimpah, dan bersih. Pertumbuhan populasi, industrialisasi dan urbanisasi di seluruh dunia, dan iklan teknologi pembangunan secara signifikan meningkatkan kebutuhan energi, terutama energi listrik (Kasap and Kiriş, 2013).…”

Section: T a T A L O K Aunclassified

Analisis Kinerja Dana Alokasi Khusus Bidang Energi Skala Kecil dalam Meningkatkan Desa Berlistrik

2021

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Berdasarkan data yang disusun/dirilis oleh Kementerian ESDM, rasio elektrifikasi di Indonesia baru mencapai 95% di tahun 2017 dan sebanyak 5% rumah tangga di Indonesia masih belum mendapatkan akses ke pelayanan penyediaan tenaga listrik. Untuk mengatasi permasalahan tersebut, salah satu upaya pemerintah yang dilakukan yaitu dengan memberikan fasilitas pendanaan infrastuktur melalui program Dana Alokasi Khusus bidang energi skala kecil. Namun, dalam pelaksanaannya, diduga pelaksanaan DAK bidang energi skala kecil tersebut belum berjalan secara efisien. Dari target yang telah ditetapkan oleh pemerintah, terlihat bahwa serapan anggaran, peningkatan jumlah desa berlistrik, peningkatan jumlah kapasitas pembangkit masih belum optimal. Oleh sebab itu, penelitian ini dilakukan dengan tujuan yaitu untuk menganalisis kinerja pelaksanaan DAK bidang energi skala kecil. Penelitian ini mencakup kinerja 17 provinsi di Indonesia sebagai pelaksana DAK bidang energi skala kecil tahun 2017. Metode analisis yang digunakan yaitu Data Envelopment Analysis (DEA). Berdasarkan hasil yang didapat, ditemukan bahwa hanya 8 provinsi yang melaksanakan DAK bidang energi skala kecil dengan efisien. Hasil analisis DEA menunjukkan bahwa variabel ouput yang dapat ditingkatkan antara lain rumah tangga berlistrik, kapasitas terpasang pada masing-masing rumah dan desa berlistrik.

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Section: T a T A L O K Aunclassified

Analisis Kinerja Dana Alokasi Khusus Bidang Energi Skala Kecil dalam Meningkatkan Desa Berlistrik

2021

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“…There are many articles using DEA for analysis of the energy sector. [13][14][15][16][17][18] In order to avoid the drawback of traditional DEA model neglect the impact of slack variables, 19 the slack-based model (SBM) is employed in this paper and the slack variables are added in the planning equation, as shown in the following formula. Each DMU consists of two elements, the input m and the output r.…”

Section: Slack-based Model and Meta-frontier Modelmentioning

confidence: 99%

Analysis of China’s regional wind power generation efficiency and its influencing factors

Pan

Zhang

et al. 2018

Energy & Environment

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Based on the data of 30 Chinese provinces from 2011 to 2014, we use a meta-frontier data envelopment analysis model and a symbolic regression method to study wind power generation efficiency and its influencing factors. From our analytical results, the main findings are as follows: (1) The wind power generation efficiency of the eastern region is the highest, followed by the western region, and the wind power generation efficiency of the central region is the lowest. (2) The technology gap ratio of eastern region is at a high level and is stable. In contrast, the technology gap ratios of the central and western regions are at a low level and have a larger fluctuation range. (3) The room for improving internal management is huge in the three regions of China mainland, but the advancement of technical level only in the Central and Western is significant. (4) Geographical location has the most impact on wind power generation efficiency, followed by technical progress and carbon regulation, while wind energy reserve has the least impact on wind power generation efficiency.

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“…Já com relação ao consumo de energia elétrica tem-se [27] e à qualidade da energia elétrica [28]. Por outro lado, no cenário internacional destacam-se os mais recentes as aplicações de DEA no setor elétrico [29][30][31][32][33].…”

Section: A Aplicação De Dea No Setor De Distribuição De Energia Elétunclassified

Assessing the Efficiency of the Electric Energy Distribution using Data Envelopment Analysis with undesirable outputs

Tschaffon¹,

Meza

2014

IEEE Latin Am. Trans.

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In this paper we propose to use Data Envelopment Analysis (DEA) to assess the efficiency of twenty electricity distributors in Brazil. Among the variables chosen to perform this study, we have chosen some distributors' undesirable results, which in DEA are called undesirable outputs that need to be included. We use and discuss some approaches to deal with these types of variables. To determine a ranking for the electricity distributors we also use Inverted Frontier and the composed efficiency index, which provides a ranking for the distributors. The results show that all approaches used to deal with undesirable outputs provide the same ranking and the inverted frontier and the composed index aids in obtaining a ranking of distributors without any subjectivity.

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An AHP-DEA Approach for Evaluating Electricity Generation Firms of OECD Countries

Cited by 11 publications

References 17 publications

Analisis Kinerja Dana Alokasi Khusus Bidang Energi Skala Kecil dalam Meningkatkan Desa Berlistrik

Analisis Kinerja Dana Alokasi Khusus Bidang Energi Skala Kecil dalam Meningkatkan Desa Berlistrik

Analysis of China’s regional wind power generation efficiency and its influencing factors

Assessing the Efficiency of the Electric Energy Distribution using Data Envelopment Analysis with undesirable outputs

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