Energy efficiency analysis on Chinese industrial sectors: an improved Super-SBM model with undesirable outputs

Li, Hong; Shi, Jinfeng

doi:10.1016/j.jclepro.2013.09.035

Cited by 258 publications

(85 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…On the condition of other factors remaining unchanged and the market share of the firm increasing by 1%, the environmental efficiency will increase by 0.18072 in random Tobit regression and by 0.15102 in bootstrap truncation regression. The result is consistent with Li [11].…”

Section: Impact Of Enterprise Scalesupporting

confidence: 89%

“…However, we argue that undesirable outputs should be selected based on the aims of the research objectives and the characteristics of the industry targeted, for instance, waste water, waste gas and solid waste are used to measure the environmental efficiency in manufacturing [11] and SO 2 is usually used in power industry [12].…”

Section: Measuring Environmental Efficiencymentioning

confidence: 99%

“…Influencing variables analysis: These studies are generally focused on countries or regions [13], or an industry [7,11,14] or at firm level [6,15]. Variables used can be summarized as region related (e.g., regional technology investment intensity, and location), industry related (e.g., industry concentration and industrial structure) and firm related (e.g., enterprise scale and age, ownership, energy consumption, R&D, profit, labor capital structure, etc.…”

Section: Measuring Environmental Efficiencymentioning

confidence: 99%

See 2 more Smart Citations

Environmental Efficiency Analysis of Listed Cement Enterprises in China

Fang

et al. 2016

Sustainability

View full text Add to dashboard Cite

China's cement production has been the highest worldwide for decades and contributes significant environmental pollution. Using a non-radical DEA model with slacks-based measure (SBM), this paper analyzes the environmental efficiency of China's listed cement companies. The results suggest that the average mean of the environmental efficiency for the listed cement enterprises shows a decreasing trend in 2012 and 2013. There is a significant imbalance in environmental efficiency in these firms ranging from very low to very high. Further investigation finds that enterprise size and property structure are key factors. Increasing production concentration and decreasing the share of government investment could improve the environmental efficiency. The findings also suggest that effectively monitoring pollution products can improve environmental efficiency quickly, whereas pursuit for excessive profitability without keeping the same pace in energy saving would cause a sharp drop in environmental efficiency. Based on these findings, we proposed that companies in the Chinese cement sector might consider restructuring to improve environmental efficiency. They also need to make a trade-off between profitability and environmental protection. Finally, the Chinese government should reduce ownership control and management interventions in cement companies.

show abstract

Section: Impact Of Enterprise Scalesupporting

confidence: 89%

Section: Measuring Environmental Efficiencymentioning

confidence: 99%

Section: Measuring Environmental Efficiencymentioning

confidence: 99%

See 1 more Smart Citation

Environmental Efficiency Analysis of Listed Cement Enterprises in China

Fang

et al. 2016

Sustainability

View full text Add to dashboard Cite

show abstract

“…As one of most popular DEA models, the slacks-based measure (SBM) model, which was proposed by Tone in 2001 [36,37], considers the input and output of each decision-making unit (DMUs) and provides an effective solution for the slack problem. Unlike traditional DEA models, which take into account the slackness problems of inputs and outputs caused by the radial and angular choices, the slack variables are directly added into the target function [38]. The SBM model is thus non-radial and deals with input/output slacks directly, eliminating the radial and oriented deviation [39].…”

Section: The Sbm Modelmentioning

confidence: 99%

Measuring Eco-Efficiency of Agriculture in China

et al. 2016

View full text Add to dashboard Cite

Eco-efficiency is a tool for sustainability analysis that indicates how to carry out economic activities effectively. This paper assesses agricultural eco-efficiency using data envelopment analysis (DEA) and the Theil index approach. Using basic data of 31 provinces in China during 2003-2013, we analyzed the agricultural eco-efficiency development level and spatial pattern in China. The results show that the agricultural eco-efficiency of only four provinces has been relatively efficient in the entire study period, namely, Zhejiang, Hainan, Chongqing, and Tibet. The results also show that agricultural eco-efficiency was higher mainly in south of the Qinling Mountains-Huaihe River Line and north of the Yangtze River area, that agricultural eco-efficiency is mainly affected by pure technical efficiency, and that highly efficient areas are mainly concentrated in the densely populated areas, i.e., the economic developed areas (except Tibet). The Theil index results show that the agricultural eco-efficiency difference weakened between provinces in China, as did western and northeast regions, but eastern and central regions show a slight upward trend.

show abstract

“…For example, Hosseini and Kaneko (2013) find an inverted U-shaped relationship between population density and pollution emissions. Li and Shi (2014) analyze the energy efficiency of China's industrial sectors, and the results indicate that with the proportion of electricity consumption increasing by 1%, the industrial energy efficiency will increase by 43.77%. Liu et al (2015a) find that older respondents and those with higher education background and income level generally tend to be more energy conservative.…”

Section: Related Literature Reviewmentioning

confidence: 99%