Two-stage efficiency evaluation of production and pollution control in Chinese iron and steel enterprises

Chen, Lili; He, Feng; Zhang, Qingzhi; Jiang, Wei; Wang, Jianjian

doi:10.1016/j.jclepro.2017.07.155

Cited by 51 publications

(12 citation statements)

References 38 publications

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“…Moreover, previous studies have examined the environmental and economic efficiency problem from different perspectives while considering the input and output process of economic development as a “black box”. However, since actual economic development is not an isolated process and suffers from high environmental costs in many cases, ignoring the undesirable output will not help to identify the real cause of inefficiency [32]. Regional economic activities include both the economic production stage and pollution treatment stage.…”

Section: Literature Reviewmentioning

confidence: 99%

Cross-Regional Comparative Study on Environmental–Economic Efficiency and Driving Forces behind Efficiency Improvement in China: A Multistage Perspective

Qin

Yan-ming

2019

IJERPH

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Environmental–economic efficiency assessment is an effective way to evaluate the degree of coordination between an economy and the environment. Previous studies on environmental–economic efficiency have primarily investigated the efficiency of economic production and have often overlooked the efficiency of pollution treatment in overall economic activities. We applied a network data envelopment analysis model to evaluate the environmental–economic efficiency of a multistage process with undesirable outputs in 30 Chinese provinces during 2001–2017. The multistage process consisted of two sequential stages: economic production and pollution treatment. The results show that the average environmental–economic efficiency across all provinces was generally low but demonstrated a gradual upward trend during the study period. The spatial pattern for the 30 provinces showed that provinces with medium or high environmental–economic efficiency are mainly located in the eastern regions in China. Finally, few provinces exhibited economic activities with high economic production and pollution treatment efficiency, with most provinces generally having low economic production and pollution treatment efficiency. Hence, provinces with different economic production and pollution treatment efficiency modes should implement targeted improvement strategies according to their characteristics.

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Section: Literature Reviewmentioning

confidence: 99%

Cross-Regional Comparative Study on Environmental–Economic Efficiency and Driving Forces behind Efficiency Improvement in China: A Multistage Perspective

Qin

Yan-ming

2019

IJERPH

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“…A two‐stage DEA model is a typical method to get rid of the traditional hypothesis with black box and present the internal relations. Chen et al made a two‐stage efficiency analysis by taking 47 China's steel firm with over 60% of the national steel output as samples. In this evaluation model, the first stage was defined as production efficiency, and the second stage was defined as pollution treatment efficiency.…”

Section: Evaluation Methods Of Energy Efficiency In the Isimentioning

confidence: 99%

Review of evaluation methodologies and influencing factors for energy efficiency of the iron and steel industry

Sun

et al. 2019

Int J Energy Res

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Summary To promote the sustainable development of the iron and steel industry (ISI), evaluation methods and influencing factors of energy efficiency have been studied in the past decades. A systematic review of these methodologies and influencing factors is presented in this paper. Initially, this paper states the development, current situation, and energy consumption of the world's ISI. Then, the definition of energy efficiency is described. After that, the evaluation methods are categorized as single‐factor methods (including these indicators of thermodynamic, thermos‐physical, thermo‐economic, and economic) and multifactor methods (including parametric and nonparametric methods). Furthermore, typical evaluation methods are highlighted. Thermal analysis method and exergy analysis method are routinely combined to optimize the energy utilization. Data envelopment analysis (DEA) and stochastic frontier analysis (SFA) are widely concerned and well developed to gain a better economic benefit. Malmquist index method is often associated with DEA to analyze the technical process and return to scale. Some emerging methods are proposed, for example, the three‐stage DEA method together with DEA and SFA. Finally, the influencing factors of energy efficiency in the ISI are discussed, including industrial structure, technological level, energy consumption structure, price, and so on. It is suggested that optimizing energy structure and improving technology level are effective measures to improve the energy efficiency in the ISI.

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“…The results in Table 2 shows that energy efficiency scores of China's IS industry ranged from 0.53 to 0.7 during the observation period but dropped in 2012 and 2015. Due to the after effect of the "$4 trillion investment" in 2009 and 2010, the IS industrial capacity utilization reached a low point when the market demand declined in 2011 and 2012 [48]. Despite rebounding in 2013-2014, the national industrial efficiency score dropped dramatically in 2015 due to dual challenges coming from strict environmental regulations represented by the new Environmental Protection Law released in 2014 and the decline in both demand and production price during 2014-2015 [49].…”

Section: Estimation Of Energy Efficiencymentioning

confidence: 99%

Energy Efficiency of China’s Iron and Steel Industry from the Perspective of Technology Heterogeneity

Wang

Zhang³

et al. 2018

Energies

Self Cite

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This paper investigates energy efficiency with the presence of undeniable outputs, efficiency gaps across regions, and determinants of inefficiency of the Chinese Iron and Steel (IS) industry by combining hybrid measure technology and the meta-frontier approach. Empirical results obtained from analyses based on panel data spanning 2010-2015 reveal the necessity of green transition of the IS industry. Simultaneously addressing power supply, environmental impacts, and value creation of energy is still one of the most formidable challenges facing the IS industry nowadays. Moreover, distinct spatial heterogeneity in technology exists extensively across the regions. Energy efficiency of the IS industry in the eastern region performed the best, whereas the central and western areas fell behind due to the intension of managerial failure and expansion of the technology gap. Based on the findings, general and regional-specific policy implications and suggestions are posited.

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Two-stage efficiency evaluation of production and pollution control in Chinese iron and steel enterprises

Cited by 51 publications

References 38 publications

Cross-Regional Comparative Study on Environmental–Economic Efficiency and Driving Forces behind Efficiency Improvement in China: A Multistage Perspective

Cross-Regional Comparative Study on Environmental–Economic Efficiency and Driving Forces behind Efficiency Improvement in China: A Multistage Perspective

Review of evaluation methodologies and influencing factors for energy efficiency of the iron and steel industry

Energy Efficiency of China’s Iron and Steel Industry from the Perspective of Technology Heterogeneity

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