Analyzing sustainable power supply chain performance

Jiasen Sun · Shuqi Xu · Guo Li

27 citations0/0 files storedJournal of Enterprise Information Management

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Efficiency Analysis Using DEA Sustainable Supply Chain Management Renewable energy and sustainable power systems

Abstract

Purpose The power industry is the pillar industry of the Chinese economy, and also a major carbon emitter. The performances of both the production and operation of the power industry are crucial for a harmonious development of society. This study proposes an improved data envelopment analysis (DEA) model to analyze the sustainable performance of China's power supply chain (PSC). Design/methodology/approach To analyze the sustainable performance of PSC systems in China's provincial regions, this study proposes a two-stage directional distance function (DDF) model. The proposed model not only considers the leader–follower game relationship between the power-generation system and the retail system, but also considers the factors that measure the sustainability level of the PSC. Findings The proposed model is applied to assess the sustainable performance of the PSCs of China's provincial regions. The findings are valuable and mainly include the following aspects: First, compared with other models, this study regards the intermediate variable of the power system as a freely disposable variable; therefore, the efficiency of the proposed model is more realistic. Second, the average efficiency of China's power retailing system is generally lower than the average efficiency of its power-generation system. Third, significant regional differences affect the power-generation efficiency, while the regional differences in power retail efficiency are not significant. The power-generation performances of PSCs in East China and Northeast China are generally higher than in other regions. Originality/value This study introduces the convex technique into a DEA model and thus proposes an improved two-stage DDF DEA model. In response to the game-theoretic inherent in power systems, this study also introduces the leader–follower game into the two-stage model. In addition to the theoretic novelty, all PSCs can be classified with this model. Moreover, specific recommendations for each type of PSCs are proposed based on the efficiency results, thus providing vital guidance for the practice.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 27 citations exist upstream.

References

2002Modeling undesirable factors in efficiency evaluation 2007Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan 1999Profitability and Marketability of the Top 55 U.S. Commercial Banks 2008Additive efficiency decomposition in two-stage DEA 2008DEA models for two‐stage processes: Game approach and efficiency decomposition 2005Weak Disposability in Nonparametric Production Analysis with Undesirable Outputs 2006DEA models for supply chain efficiency evaluation 2018Technological challenges of green innovation and sustainable resource management with large scale data

Cited by

2022Environmental efficiency of port and regional system: A two-stage network efficiency model

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.