A robust network DEA model for sustainability assessment: an application to Chinese Provinces

Chen, Zhongfei; Kourtzidis, Stavros A.

doi:10.1007/s12351-020-00553-x

Cited by 12 publications

(4 citation statements)

References 60 publications

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“…The concept of environmental efficiency encompasses both economic and environmental aspects (Mardani et al, 2017;Chen et al, 2020). The worsening energy consumption and environmental pollution problems force scholars and practitioners to pay attention to environmental efficiency, the improvement of which is one of the most cost-effective ways to conserve energy and reduce pollution emission and finally achieve sustainable development (Zha et al, 2016;Sueyoshi et al, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

The average environmental efficiency technique and its application to Chinese provincial panel data

Tang

Yang

Wei

2022

Environ Sci Pollut Res

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Section: Literature Reviewmentioning

confidence: 99%

The average environmental efficiency technique and its application to Chinese provincial panel data

Tang

Yang

Wei

2022

Environ Sci Pollut Res

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“…Researchers from across the world have studied methods by which we can reconcile the relationship between the economy, society, and the environment to achieve sustainable development of the regional economy. For example, Chen et al constructed an environmental sustainability index and studied China's regional efficiency from 2000 to 2012 [6]. They used the data envelopment analysis model of the multiplicative relation network to analyze the variation trend of acquisition efficiency over time, revealing that overall, environmental sustainability has enormous potential for improvement.…”

Section: Introductionmentioning

confidence: 99%

Assessment and Suggestions on Sustainable Development of Regional Ecological Economy Based on Emergy Theory: A Case Study of Henan Province

Si,

Zhang,

Liu

2023

Sustainability

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A rapid development in regional economy is often accompanied by an increase in energy consumption and the intensification of environmental pollution, which brings great pressure to the social economy and the natural environment. In order to solve the integrated problem of economic, social, and natural factors, we propose an evaluation method for the sustainable development of the regional economy, based on emergy. By analyzing the statistical data of Henan’s economic development from 2010 to 2018, an evaluation index system of regional eco-economic sustainable development was constructed based on four aspects: natural subsystem, economic subsystem, social subsystem, and sustainable development index. The index system was then used to measure and comprehensively evaluate the sustainable development of the ecological economy and the environmental friendliness of Henan Province. The assessment results showed that the emergy self-sufficiency rate decreased, indicating decreased self-sufficiency. Moreover, the environmental load rate was high, indicating high environmental pressure. The emergy currency rate declined with a rise in the emergy investment rate, indicating economic growth. Additionally, the population carrying capacity was consistently > 1, indicating that the population was overloaded. Collectively, the emergy-based evaluation method of regional economic sustainable development in this study provides a comprehensive and scientific evaluation framework, which can help decision makers and researchers better understand and evaluate the problems brought about by the rapid development of regional economy, and provide targeted decision making suggestions. It includes four sub-systems: natural, economic, social, and sustainable, which have important theoretical and practical significances, while also serving as a useful reference for the evaluation of the sustainable economic development of similar regions.

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“…Bai et al (2019) also show that there is a positive influence of government research and development (R&D) funding on green innovation efficiency of the energy‐intensive industries. In this scenario, eco‐efficiency is the key concept to assess the trade‐offs between maximized energy productions and minimized environmental influence (Chen et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Demographic efficiency drivers in the Chinese energy production chain: A hybrid neural multi‐activity network data envelopment analysis

2022

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For meeting the external requirements of the Paris Agreement and reducing energy consumption per gross domestic product, China needs to improve its energy efficiency. Although the existing studies have attempted to investigate energy efficiency from different perspectives, little effort has yet been made to consider the collaboration among different stages in the production chain to produce energy outputs. In addition, various studies have also examined the determinants of energy efficiency, however, they mainly focused on technology and economic factors, no study has yet proposed and considered the influence of geographical factors on energy efficiency. In this article, we fill in the gap and make theoretical and empirical contributions to the literature. In this study, a two‐stage analysis method is used to analyse energy efficiency and the influencing factors in China between 2009 and 2021. More specifically, from the theoretical/methodological perspective, a multi‐activity network data envelopment analysis model is used to measure energy efficiency of different processes in the energy production chain. From the empirical perspective, we attempt to investigate the influence of geographical factors on energy efficiency through a neural network analysis. Meanwhile, the comparisons among different provinces are made. The result shows that the overall energy efficiency is low in China, and China relies more on the traditional energy industry than the clean energy industry. The efficiency level experiences a level of volatility over the examined period. Finally, we find that raw fuel pre‐process and industry have a significant and positive impact on energy efficiency in China.

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A robust network DEA model for sustainability assessment: an application to Chinese Provinces

Cited by 12 publications

References 60 publications

The average environmental efficiency technique and its application to Chinese provincial panel data

The average environmental efficiency technique and its application to Chinese provincial panel data

Assessment and Suggestions on Sustainable Development of Regional Ecological Economy Based on Emergy Theory: A Case Study of Henan Province

Demographic efficiency drivers in the Chinese energy production chain: A hybrid neural multi‐activity network data envelopment analysis

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