Measuring environmental efficiency of thermoelectric power plants: a common equilibrium efficient frontier DEA approach with fixed-sum undesirable output

Wu, Jie; Xia, Panpan; Zhu, Qingyuan; Chu, Junfei

doi:10.1007/s10479-018-2958-0

Cited by 49 publications

(13 citation statements)

References 43 publications

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“…Efficiency is measured as a percentage or alternatively bounded between zero and one, with a value of one indicating a DMU’s being efficient laying on the efficiency frontier, whereas a value of less than one inefficient. This method is used to evaluate the efficiency of entities having complex or unexplored relations between multiple inputs and outputs because it does not require any parametric specifications and thus is not susceptible to specification error (Wu et al, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

A Stochastic Frontier Approach to Assessing Total Factor Productivity Change in China’s Star-Rated Hotel Industry

Liu

Tsai

2020

Journal of Hospitality & Tourism Research

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Using a stochastic frontier analysis approach and a ﬂexible translog production function considering neutral technological progress, this study assesses technical efficiency change, technological change, and scale change, and further measures the total factor productivity (TFP) change and its convergence of China’s star-rated hotel industry in 31 provinces, municipalities, and regions from 2001 to 2015. The results show that the TFP change of China’s star-rated hotel industry was generally favorable and boosted by both the technical efficiency change and technical change; nevertheless, the scale change hindered and largely caused fluctuations in the TFP change. From a regional economic perspective, the TFP change of the star-rated hotel industry in most of the eight comprehensive economic regions examined was rather stable. While few comprehensive economic regions existed absolute convergence, all of the regions showed significant conditional convergence except for the Eastern Coastal region.

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Section: Literature Reviewmentioning

confidence: 99%

A Stochastic Frontier Approach to Assessing Total Factor Productivity Change in China’s Star-Rated Hotel Industry

Liu

Tsai

2020

Journal of Hospitality & Tourism Research

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“…The pollution resulted from traditional operation of enterprises, raises serious challenges for human health and environment. With the increasingly urgent environmental problems, how to reduce air and water pollution caused by business activities of enterprises has triggered intensive attention from consumers to governments [1,2]. As a fundamental tactic for sustainable development, green technology adoption (GTA) has become an important means for enterprises to cope with the environmental pressures and improve their economic and environmental performance, which triggers the interest of practitioners as well as researchers [3,4].…”

Section: Introductionmentioning

confidence: 99%

Research on Enterprises’ Intention to Adopt Green Technology Imposed by Environmental Regulations with Perspective of State Ownership

et al. 2021

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Environmental regulations (ER) affect enterprise behaviors. Nevertheless, whether the state ownership influences the relationship between environmental regulations and enterprises’ green intentions and behaviors need to be explored further. In this paper, the effects of environmental regulations on enterprises’ intentions to adopt green technologies, especially the moderating role of state ownership between environmental regulations and green technologic adoption intentions (GTAI), are proposed. An empirical study is carried out with the questionnaire data collected from 207 Chinese managers and executives in order to explore the influence of environmental regulations. With the perspective of ownership, the results confirm that the three kinds of environmental regulations (command-and-control (CAC), market-based incentives (MBI) and voluntary environmental (VER) regulations) have positive effects on enterprise green technology adoption intention. Furthermore, the state ownership of enterprise plays a positive moderating role in the relationship between command-and-control environmental regulations and green technology adoption intentions, but plays a negative moderating role in the relationship between voluntary environmental regulations and green technology adoption intentions. It generates no significant moderate effect on the relationship between market-based incentives environmental regulations and green technology adoption intentions. The work verifies that the differences of ownership would lead to varying effects on the intentions of enterprise green technology adoption imposed by regulations. Managerial implications, as well as the limitation of the work, are concluded at the end of this paper.

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“…The theoretical contributions of this study can be summarized in the following aspects: First, several scholars have proposed a series of DEA methods to study the performances of both the power industry and power enterprises, but these did not integrate the PSC perspective (Ji et al , 2017; Wu et al , 2019). The internal structure of the PSC is complex, and includes power generation, carbon emission, power transmission, and power sales.…”

Section: Introductionmentioning

confidence: 99%

Analyzing sustainable power supply chain performance

Sun

Li³

2020

JEIM

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PurposeThe 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/approachTo 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.FindingsThe 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/valueThis 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.

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Measuring environmental efficiency of thermoelectric power plants: a common equilibrium efficient frontier DEA approach with fixed-sum undesirable output

Cited by 49 publications

References 43 publications

A Stochastic Frontier Approach to Assessing Total Factor Productivity Change in China’s Star-Rated Hotel Industry

A Stochastic Frontier Approach to Assessing Total Factor Productivity Change in China’s Star-Rated Hotel Industry

Research on Enterprises’ Intention to Adopt Green Technology Imposed by Environmental Regulations with Perspective of State Ownership

Analyzing sustainable power supply chain performance

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