An extended DEA-based measurement for eco-efficiency from the viewpoint of limited preparation

Wu, Yimin; Zhi-xin, Chen; Xia, Panpan

doi:10.1016/j.jclepro.2018.05.200

Cited by 32 publications

(15 citation statements)

References 27 publications

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“…The possibility of further research is to modify and apply the approach proposed by [39] to create a dynamic, large data model that adapts to changing circumstances. It is also possible to test variables such as the Gini Index [1] or the Quality of Life Index, the Human Development Index, the Environmental Performance Index, and similar aggregate indices.…”

Section: Discussionmentioning

confidence: 99%

Determinants of Environmental Efficiency of the EU Countries Using Two-Step DEA Approach

Lacko

Hajduová

2018

Sustainability

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The article discusses the environmental efficiency of the countries of the European Union and its main objective is to verify models that could be used to explain changes in efficiency in selected countries and to add to the contributions of other authors. Two-step Data Envelopment Analysis (DEA) has been used, which is a suitable method for verifying the statistical significance of environmental variables. Two DEA models—CCR and BCC—were used and efficiencies have undergone a double-bootstrap procedure. As input variables, three emission per capita indices were computed to single output GDP per capita. Three truncated regression models have been proposed. Results have shown that the model with drivers of climate change and variables connected to socio-economic factors is the most relevant and significant. There are common variables, whose improvement increases the efficiencies in all European Union countries, but there are also indices which have to be considered in individual/subgroup policies and implications, such as environmental taxes, waste management, resources productivity, and transport of goods management.

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Section: Discussionmentioning

confidence: 99%

Determinants of Environmental Efficiency of the EU Countries Using Two-Step DEA Approach

Lacko

Hajduová

2018

Sustainability

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“…Data envelopment analysis is a linear programming method to measure the efficiency of multiple decision-making units (DMUs) when the production process has multiple inputs and outputs [45]. In this study, each block is regarded as a DMU, and the intensity level of block form is regarded as the input and output productivity of each unit (Fig.…”

Section: ) Data Envelopment Analysismentioning

confidence: 99%

Investigating the Intensive Redevelopment of Urban Central Blocks Using Data Envelopment Analysis and Deep Learning: A Case Study of Nanjing, China

Leng

Jie

2019

IEEE Access

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Intensification of morphology of blocks, which are the basic units of urban form and land management, is the key to sustainable urban development. Taking 206 blocks of Nanjing's central city area as an example, an evaluation system featuring six output-oriented indicators and five input-oriented indicators was constructed for data envelopment analysis to measure the blocks' intensity level. Relatively intensive blocks were selected as training data, and the output-oriented indicators of non-intensive blocks were predicted by a deep learning model, completing the procedure from evaluation of intensity to optimisation of morphological indicators. Finally, using the difference calculation and Arctool of weighted overlay in ArcGIS, a reference for the optimisation design of urban block morphology was created.

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“…The concept of eco-efficiency, first introduced in 1990 by Schaltegger and Sturm [1], has become an issue of great importance due to the growing need for reducing the global trend of environmental degradation. Because of its multidimensional nature, measuring the eco-efficiency of production systems with the help of Data Envelopment Analysis (DEA) in recent years has become the mainstream in the scientific literature [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. In most studies, environmental efficiency (or eco-efficiency) is considered as the ability of a production system to minimize undesirable outputs (negative externalities of production activity) with fixed inputs (material and human resources) and maximize desired outputs (indicators of the economic performance of the production system) [2,5,6,[9][10][11]13].…”

Section: Introductionmentioning

confidence: 99%

Efficiency Evaluation of Regional Environmental Management Systems in Russia Using Data Envelopment Analysis

et al. 2021

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The concept of eco-efficiency has recently become an issue of great importance due to the growing trend of environmental degradation, and many approaches based on Data Envelopment Analysis (DEA) are used in the literature to evaluate the environmental performance of economic systems. However, research to date has paid little attention to the possibility of extending the DEA approach to the problem of measuring the economic feasibility of eco-efficiency improvement. The main aim of this study is to evaluate the efficiency of investments focused on improving the eco-efficiency of the regional economy in Russia using the DEA approach. The various types of costs for environmental protection measures are considered as inputs and the annual decrease in specific environmental impacts of the regional economy are considered as outputs of DEA models. This is different from previous research, which generally focused on environmental efficiency only, omitting the integration of economic aspects in eco-efficiency measures. This study compares three different modifications of basic DEA models in the context of technical complexity and practical feasibility. The results show that the efficiency of regional environmental management in many Russian regions has a great potential for improvement. From a practical point of view, the Slack-Based Measure (SBM) model provides the most accurate results for policy applications. Unlike other ratings, the DEA-SBM model may stimulate an optimization of environmental protection spending and the introduction of technological and organizational eco-innovations.

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An extended DEA-based measurement for eco-efficiency from the viewpoint of limited preparation

Cited by 32 publications

References 27 publications

Determinants of Environmental Efficiency of the EU Countries Using Two-Step DEA Approach

Determinants of Environmental Efficiency of the EU Countries Using Two-Step DEA Approach

Investigating the Intensive Redevelopment of Urban Central Blocks Using Data Envelopment Analysis and Deep Learning: A Case Study of Nanjing, China

Efficiency Evaluation of Regional Environmental Management Systems in Russia Using Data Envelopment Analysis

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