Efficiency evaluation and productivity analysis of complex electric power systems in China: A directional slacks-based network data envelopment analysis approach
The paper introduces a robust methodology for evaluating complex electricity system efficiency, making several contributions. It systematically decomposes the electric power system into various processes, including power generation, transmission, distribution, and power consumption, with parallel su...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-02-01
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| Series: | International Journal of Electrical Power & Energy Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061523008086 |
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| author | Ruiyue Lin Lingling Ding Zongxin Li |
| author_facet | Ruiyue Lin Lingling Ding Zongxin Li |
| author_sort | Ruiyue Lin |
| collection | DOAJ |
| description | The paper introduces a robust methodology for evaluating complex electricity system efficiency, making several contributions. It systematically decomposes the electric power system into various processes, including power generation, transmission, distribution, and power consumption, with parallel sub-processes for production and domestic power consumption. Employing data envelopment analysis (DEA), the paper develops a network directional slacks-based (DSB) model to evaluate the whole system and the internal processes. The model is theoretically proven to be feasible, providing efficiency scores and identifying inefficiencies in the system and its processes. A noteworthy addition is the introduction of the DSB green Luenberger productivity index and its decomposition, offering an analysis of productivity changes in electricity systems. Empirical analysis covering 30 Chinese provinces from 2013 to 2019 uncovers the performance variations among provinces and processes, pointing out inefficiencies and changes in technology and efficiency over time. The empirical findings aim to support efforts in enhancing the overall efficiency of China’s interprovincial power system. |
| format | Article |
| id | doaj-art-d161968a3bc54250a1134c1179f47fcd |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-d161968a3bc54250a1134c1179f47fcd2024-11-25T04:40:42ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152024-02-01156109751Efficiency evaluation and productivity analysis of complex electric power systems in China: A directional slacks-based network data envelopment analysis approachRuiyue Lin0Lingling Ding1Zongxin Li2College of Mathematics and Physics, Wenzhou University, Wenzhou, Zhejiang, 325035, PR China; Corresponding author.School of Social Management, JiangXi College of Applied Technology, Ganzhou, Jiangxi, 341000, PR China; College of Mathematics and Physics, Wenzhou University, Wenzhou, Zhejiang, 325035, PR ChinaSchool of Economics and Management, Northwest University, Xi’an, Shaanxi 710127, PR ChinaThe paper introduces a robust methodology for evaluating complex electricity system efficiency, making several contributions. It systematically decomposes the electric power system into various processes, including power generation, transmission, distribution, and power consumption, with parallel sub-processes for production and domestic power consumption. Employing data envelopment analysis (DEA), the paper develops a network directional slacks-based (DSB) model to evaluate the whole system and the internal processes. The model is theoretically proven to be feasible, providing efficiency scores and identifying inefficiencies in the system and its processes. A noteworthy addition is the introduction of the DSB green Luenberger productivity index and its decomposition, offering an analysis of productivity changes in electricity systems. Empirical analysis covering 30 Chinese provinces from 2013 to 2019 uncovers the performance variations among provinces and processes, pointing out inefficiencies and changes in technology and efficiency over time. The empirical findings aim to support efforts in enhancing the overall efficiency of China’s interprovincial power system.http://www.sciencedirect.com/science/article/pii/S0142061523008086Data envelopment analysisNetworkDirectional slacks-based measureLuenberger indexComplex electric power system |
| spellingShingle | Ruiyue Lin Lingling Ding Zongxin Li Efficiency evaluation and productivity analysis of complex electric power systems in China: A directional slacks-based network data envelopment analysis approach International Journal of Electrical Power & Energy Systems Data envelopment analysis Network Directional slacks-based measure Luenberger index Complex electric power system |
| title | Efficiency evaluation and productivity analysis of complex electric power systems in China: A directional slacks-based network data envelopment analysis approach |
| title_full | Efficiency evaluation and productivity analysis of complex electric power systems in China: A directional slacks-based network data envelopment analysis approach |
| title_fullStr | Efficiency evaluation and productivity analysis of complex electric power systems in China: A directional slacks-based network data envelopment analysis approach |
| title_full_unstemmed | Efficiency evaluation and productivity analysis of complex electric power systems in China: A directional slacks-based network data envelopment analysis approach |
| title_short | Efficiency evaluation and productivity analysis of complex electric power systems in China: A directional slacks-based network data envelopment analysis approach |
| title_sort | efficiency evaluation and productivity analysis of complex electric power systems in china a directional slacks based network data envelopment analysis approach |
| topic | Data envelopment analysis Network Directional slacks-based measure Luenberger index Complex electric power system |
| url | http://www.sciencedirect.com/science/article/pii/S0142061523008086 |
| work_keys_str_mv | AT ruiyuelin efficiencyevaluationandproductivityanalysisofcomplexelectricpowersystemsinchinaadirectionalslacksbasednetworkdataenvelopmentanalysisapproach AT linglingding efficiencyevaluationandproductivityanalysisofcomplexelectricpowersystemsinchinaadirectionalslacksbasednetworkdataenvelopmentanalysisapproach AT zongxinli efficiencyevaluationandproductivityanalysisofcomplexelectricpowersystemsinchinaadirectionalslacksbasednetworkdataenvelopmentanalysisapproach |