Environmental Efficiency Analysis of Listed Cement Enterprises in China

Fang, Zhang; Fang, Hongyuan; Wu, Junjie; Ward, Damian

doi:10.3390/su8050453

Cited by 13 publications

(6 citation statements)

References 46 publications

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“…Output and input variables were chosen on the basis of the characteristics of the tea industry. Waste water, waste gas, and solid waste are mostly used to measure the EE in manufacturing industries (Zhang, Fang, Wu, & Ward, ). Output variables included were process waste, level of GHG emission, and wastewater.…”

Section: Methodsmentioning

confidence: 99%

Environmental sustainability and financial performance of the small‐scale tea processors in Kenya

et al. 2018

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In the light of global warming, natural resource depletion and increasing stakeholder demand for environmental sustainability; corporate entities are compelled to reexamine their impact on the biophysical environment. Although the debate on how investment in environmental sustainability impacts on the corporates themselves is inconclusive, it is clear that combating negative environmental impacts can be very expensive and may substantially reduce the profits. Thus, this study sought to establish the relationship between environmental efficiency and profitability of small‐scale tea processors in Kenya. Using a random effects model on a 5‐year panel data (2012–2016) on all the 54 small‐scale tea processors in Kenya, the study found a negative correlation between environmental efficiency and profitability. The tea processors, whose environmental efficiency score was above 80%, recorded a paltry profitability of not more than 1.23%. The policy implication is that the tea processors may require motivation to take up environment conserving innovations and technologies in their production processes. These motivations could take the form of government subsidies or tax waivers on such innovations and technologies.

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Section: Methodsmentioning

confidence: 99%

Environmental sustainability and financial performance of the small‐scale tea processors in Kenya

et al. 2018

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“…Long et al [22] investigated total factor productivity eco-efficiency and the determinants of Malmquist in China's cement manufacturers. Zhang et al [23] analyzed the environmental efficiency of China's listed cement companies using a non-radical DEA model with slacks-based measures. Tu et al [12] studied the environmental efficiency of the Chinese cement industry based on the undesirable output DEA model.…”

Section: Literature Reviewmentioning

confidence: 99%

Environmental Regulation, Technological Innovation and Industrial Environmental Efficiency: An Empirical Study Based on Chinese Cement Industry

Dai

Yuan

et al. 2022

Sustainability

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China’s cement production has been the highest worldwide for decades and contributes significant environmental pollution. Using the DEA-Tobit model, the paper empirically analyzes the impact of environmental regulation and technological innovation on industrial environmental efficiency with data from the Chinese Cement Industry. The results show that both environmental regulation and technological innovation have a significant role in promoting the environmental efficiency of the cement industry. Among all the influencing factors, the improvement of pollution disposal capacity has the biggest positive effect on environmental efficiency, while the energy-saving effect caused by environmental regulation is not obvious, the factor endowment structure has no substantial impact on environmental efficiency. Adhering to the strategy of “reducing emissions mainly and saving energy as auxiliary”, continuously optimizing the energy consumption structure, raising the level of industrialization and industrial agglomeration are conducive to the sustainable development of the Chinese cement industry.

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“…Since then, a vast and substantial number of articles have appeared, including key theoretical discoveries and an enormous number of works on DEA applications, both in the public and private sectors, to evaluate the efficiency and productivity of their activities [19]. For example, Zhang et al [20] used the slacks-based measure DEA model to examine the environmental efficiency of the 16 listed cement enterprises in China from 2008 to 2013. Xia et al [21] evaluated the environmental efficiency of China's mining sector from 2007 to 2016 by the meta-frontier slacks-based measure method.…”

Section: Literature Reviewmentioning

confidence: 99%

Effective Decision Making: Data Envelopment Analysis for Efficiency Evaluation in the Cloud Computing Marketplaces

Wang

Nguyen

et al. 2021

Axioms

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Assessing business performance is a critical issue for practicing managers, and business performance has always been of interest to managers and researchers. In recent years, the world has experienced a rapid growth in the cloud computing service sector thanks to its benefits to business organizations and economic development. Therefore, the performance efficiency of this sector has been concerned as one of the keys in today’s economic environment. This study aimed to assess the performance efficiency of cloud computing service providers in the United States of America, one of the biggest global markets in terms of cloud computing, by applying the data envelopment analysis models. The efficiency of cloud computing providers was evaluated based on the assumption of the non-cooperative game among cloud computing providers in which providers selfishly choose the best strategy to maximize their payoff with three stages. In the first stage, the performance of these providers over the past period was measured by a super slack-based measure. In the second stage, the performance in the future period was predicted by the new data envelopment analysis model: the past–present–future model based on resampling. In the last stage, the efficiency improvement was investigated by adopting the Malmquist productivity index. The findings of this study indicated that the percentage of inefficient providers would increase from 10% in the period from 2017 to 2020 to 20% for 2021 and 2024. Moreover, 30% of providers showed a regress in performance efficiency over the research period of 2017 to 2024. The results of this study provide an insight picture to the decision-makers, and this research will fill the gap in the literature as the first study that measures and predicts the performance efficiency of cloud computing service providers, which will provide a helpful reference for future studies.

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Environmental Efficiency Analysis of Listed Cement Enterprises in China

Cited by 13 publications

References 46 publications

Environmental sustainability and financial performance of the small‐scale tea processors in Kenya

Environmental sustainability and financial performance of the small‐scale tea processors in Kenya

Environmental Regulation, Technological Innovation and Industrial Environmental Efficiency: An Empirical Study Based on Chinese Cement Industry

Effective Decision Making: Data Envelopment Analysis for Efficiency Evaluation in the Cloud Computing Marketplaces

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