TY - JOUR
T1 - Does China's power supply chain systems perform well? A data-based path-index meta-frontier analysis
AU - Sun, Jiasen
AU - Xu, Shuqi
AU - Li, Guo
N1 - Publisher Copyright:
© 2020, Emerald Publishing Limited.
PY - 2021/9/23
Y1 - 2021/9/23
N2 - Purpose: To improve the sustainable performance of the power supply chain system (PSCS), the Chinese government proposed a series of relevant policies and promoted the application of various technologies in the power industry. This study analyzes the sustainable performance and technology levels of PSCSs in various regions of China. Design/methodology/approach: To quantify the technological heterogeneity between PSCSs, this study incorporates a meta-frontier into the performance evaluation model. To increase the performance of inefficient PSCSs, this study also proposes a series of performance improvement path indexes. Findings: Empirical analysis of China's provincial PSCSs, using data from 2014 to 2017, has yielded several key findings. First, the average performance of PSCSs of all provinces in China is 0.7192, indicating that PSCSs in China have great potential for improvement. Second, independent of power generation subsystem (PGS) or power retail subsystem (PRS), regional differences affect the technological heterogeneity of PSCSs in China. Third, for PGS, the technological level of PSCSs in the eastern region displays a high level, while the management level can still be greatly improved. Fourth, only the PSCS of Beijing is best in both PGS and PRS. The two subsystems of the PSCSs in the other provinces are either insufficiently managed or technologically inadequate. Originality/value: Compared with the traditional performance model, the model proposed in this study considers the technological heterogeneity between PSCSs. In addition, the path indexes proposed in this study clearly indicate an improvement direction and the specific improvement level for inefficient PSCSs.
AB - Purpose: To improve the sustainable performance of the power supply chain system (PSCS), the Chinese government proposed a series of relevant policies and promoted the application of various technologies in the power industry. This study analyzes the sustainable performance and technology levels of PSCSs in various regions of China. Design/methodology/approach: To quantify the technological heterogeneity between PSCSs, this study incorporates a meta-frontier into the performance evaluation model. To increase the performance of inefficient PSCSs, this study also proposes a series of performance improvement path indexes. Findings: Empirical analysis of China's provincial PSCSs, using data from 2014 to 2017, has yielded several key findings. First, the average performance of PSCSs of all provinces in China is 0.7192, indicating that PSCSs in China have great potential for improvement. Second, independent of power generation subsystem (PGS) or power retail subsystem (PRS), regional differences affect the technological heterogeneity of PSCSs in China. Third, for PGS, the technological level of PSCSs in the eastern region displays a high level, while the management level can still be greatly improved. Fourth, only the PSCS of Beijing is best in both PGS and PRS. The two subsystems of the PSCSs in the other provinces are either insufficiently managed or technologically inadequate. Originality/value: Compared with the traditional performance model, the model proposed in this study considers the technological heterogeneity between PSCSs. In addition, the path indexes proposed in this study clearly indicate an improvement direction and the specific improvement level for inefficient PSCSs.
KW - Improvement path
KW - Power supply chain systems
KW - Sustainable performance
KW - Technology
KW - Two-stage model
UR - http://www.scopus.com/inward/record.url?scp=85090789906&partnerID=8YFLogxK
U2 - 10.1108/IMDS-04-2020-0183
DO - 10.1108/IMDS-04-2020-0183
M3 - Article
AN - SCOPUS:85090789906
SN - 0263-5577
VL - 121
SP - 2048
EP - 2070
JO - Industrial Management and Data Systems
JF - Industrial Management and Data Systems
IS - 9
ER -