scholarly journals Regional Environmental Efficiency Based on a Modified Proportional DEA Model

2018 ◽  
pp. 64-79
Author(s):  
Yuting Xuan ◽  
Wei Woo
Keyword(s):  
Yangtze River ◽  
Risk Attitude ◽  
Environmental Efficiency ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
The Yangtze River ◽  
Environmental Capacity ◽  
Dea Model ◽  
Conservation Policies ◽  
Ecological Conservation

With the increased attention paid to environmental and ecological issues in China, many methods have been used to evaluate the performance of ecological conservation. Scholars have evaluated environmental efficiency in the production process with undesirable outputs, and used a data envelopment analysis (DEA) model for further examination. However, previous studies do not detail the influence of uncertain factors on undesirable outputs, such as environmental capacity and risk attitude. Therefore, this study proposes and applies a modified proportional DEA model to evaluate the environmental efficiency of various textile and clothing companies located around the main stem and tributaries of the Yangtze River. The empirical results indicate that this model is more suitable to evaluate the environmental efficiency of companies in these acutely polluted regions. Based on these findings, we suggest considering environmental capacity and risk attitude in ecological conservation policies to improve environmental efficiency.

Exploring the water–energy–food nexus from a perspective of agricultural production efficiency using a three-stage data envelopment analysis modelling evaluation method: a case study of the middle and lower reaches of the Yangtze River, China

Water Policy ◽  
2018 ◽  
Vol 21 (1) ◽  
pp. 49-72 ◽  
Author(s):  
Jiazhong Zheng ◽  
Weiguang Wang ◽  
Dan Chen ◽  
Xinchun Cao ◽  
Wanqiu Xing ◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
Agricultural Production ◽  
Yangtze River ◽  
Production Efficiency ◽  
Evaluation Method ◽  
Data Envelopment ◽  
The Yangtze River ◽  
Agricultural Resources ◽  
Important Challenge

Abstract A coordinated nexus of agricultural resources is vital to achieve food security and sustainable development in China. Comprehensively considering the water–energy–food nexus as well as the external environment, this study adopts a three-stage data envelopment analysis (DEA) modelling evaluation method to assess the agricultural production efficiency (APE) of seven provinces in the middle and lower reaches of the Yangtze River (MLYR) during 1996–2015. The results show that the three-stage DEA modelling evaluation method reveals real APE and is considered to be a better quantitative method than conventional approaches. A gradually widening range of APE is an important challenge for this region. Significantly, this region generates huge demands for agricultural resources. Moreover, regional emissions of greenhouse gases (GHG) decreased from 34.20 million tons standard coal in 1996 to 32.11 million tons standard coal in 2015, though APE has continued to decrease by 2.56% in the past two decades. In general, the management and technology levels should be improved simultaneously, even though specific opportunities for APE improvement vary across provinces in MLYR. However, understanding the temporal and spatial variation of APE along with the WEF nexus from a production-based insight is a vital step toward appropriately targeted policy making for nationwide resources savings and emissions reduction.

scholarly journals A Range Adjusted Measure of Super-Efficiency in Integer-Valued Data Envelopment Analysis with Undesirable Outputs

2021 ◽  
Vol 9 (4) ◽  
pp. 378-398
Author(s):  
Chunhua Chen ◽  
Haohua Liu ◽  
Lijun Tang ◽  
Jianwei Ren
Keyword(s):  
Data Envelopment Analysis ◽  
Transportation Systems ◽  
Decision Makers ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Super Efficiency ◽  
Dea Model ◽  
Dea Models ◽  
Analysis Models ◽  
Transport Accidents

Abstract DEA (data envelopment analysis) models can be divided into two groups: Radial DEA and non-radial DEA, and the latter has higher discriminatory power than the former. The range adjusted measure (RAM) is an effective and widely used non-radial DEA approach. However, to the best of our knowledge, there is no literature on the integer-valued super-efficiency RAM-DEA model, especially when undesirable outputs are included. We first propose an integer-valued RAM-DEA model with undesirable outputs and then extend this model to an integer-valued super-efficiency RAM-DEA model with undesirable outputs. Compared with other DEA models, the two novel models have many advantages: 1) They are non-oriented and non-radial DEA models, which enable decision makers to simultaneously and non-proportionally improve inputs and outputs; 2) They can handle integer-valued variables and undesirable outputs, so the results obtained are more reliable; 3) The results can be easily obtained as it is based on linear programming; 4) The integer-valued super-efficiency RAM-DEA model with undesirable outputs can be used to accurately rank efficient DMUs. The proposed models are applied to evaluate the efficiency of China’s regional transportation systems (RTSs) considering the number of transport accidents (an undesirable output). The results help decision makers improve the performance of inefficient RTSs and analyze the strengths of efficient RTSs.

Research on operating efficiency of incubators based on DEA: A case study of China’s yangtze river economic belt

2021 ◽  
pp. 1-9
Author(s):  
Wang Lijun ◽  
Pang Yaqian ◽  
Chen Mengdong
Keyword(s):  
Yangtze River ◽  
Science And Technology ◽  
Operating Efficiency ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
The Yangtze River ◽  
Business Incubators ◽  
Government Investment ◽  
Input Sharing

Data envelopment analysis (DEA) was used to measure the comprehensive efficiency, pure technical efficiency and scale efficiency of science and technology business incubators in 11 provinces and cities of the Yangtze River economic belt from 2011 to 2017, and the situation of incubators in the Yangtze River economic belt was analyzed from the overall, horizontal and vertical perspectives. Results show that the overall operation efficiency of science and technology business incubators in the Yangtze River economic belt is relatively high, but it shows a downward trend in the sample period, and it is found that the development of science and technology business incubators in the Yangtze River economic belt is unbalanced, there are regional differences, and some provinces and cities have serious redundancy of incubator personnel and incubation funds. On this basis, some suggestions are put forward, such as reducing the number of managers and tutors, adjusting the dominant position of government investment in science and technology business incubators, and creating resource input sharing enterprise output circulation chain.

A common-weights approach for efficiency evaluation in fuzzy data envelopment analysis with undesirable outputs: Application in banking industry

2020 ◽  
Vol 39 (5) ◽  
pp. 7705-7722
Author(s):  
Mohammad Kachouei ◽  
Ali Ebrahimnejad ◽  
Hadi Bagherzadeh-Valami
Keyword(s):  
Data Envelopment Analysis ◽  
Performance Management ◽  
Banking Industry ◽  
Evaluation Process ◽  
Fuzzy Arithmetic ◽  
Data Envelopment ◽  
Fuzzy Data ◽  
Undesirable Outputs ◽  
Dea Model ◽  
The Impact

Data Envelopment Analysis (DEA) is a non-parametric approach based on linear programming for evaluating the performance of decision making units (DMUs) with multiple inputs and multiple outputs. The lack of the ability to generate the actual weights, not considering the impact of undesirable outputs in the evaluation process and the measuring of efficiencies of DMUs based upon precise observations are three main drawbacks of the conventional DEA models. This paper proposes a novel approach for finding the common set of weights (CSW) to compute efficiencies in DEA model with undesirable outputs when the data are represented by fuzzy numbers. The proposed approach is based on fuzzy arithmetic which formulates the fuzzy additive DEA model as a linear programing problem and gives fuzzy efficiencies of all DMUs based on resulting CSW. We demonstrate the applicability of the proposed model with a simple numerical example. Finally, in the context of performance management, an application of banking industry in Iran is presented for analyzing the influence of fuzzy data and depicting the impact of undesirable outputs over the efficiency results.

scholarly journals A New DEA Model for Evaluation of Supply Chains: A Case of Selection and Evaluation of Environmental Efficiency of Suppliers

Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 565 ◽  
Author(s):  
Krmac ◽  
Djordjević
Keyword(s):  
Sensitivity Analysis ◽  
Complex Problem ◽  
Environmental Efficiency ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Chain Management ◽  
Dea Model ◽  
Multi Stage ◽  
Stage System

Supply Chain Management (SCM) represents an example of a complex multi-stage system. The SCM involves and connects different activities, from customer’s orders to received services, all with the aim of satisfying customers. The evaluation of a particular SCM is a complex problem because of the internally linked hierarchical activities and multiple entities. In this paper, the introduction of a non-radial DEA (Data Envelopment Analysis) model for the evaluation of different components of SCM, primarily in terms of sustainability, is the main contribution. However, in order to confirm the novelty and benefits of this new model in the field of SCM, a literature review of past applications of DEA-based models and methods are also presented. The non-radial DEA model was applied for the selection and evaluation of the environmental efficiency of suppliers considering undesirable inputs and outputs resulting in a better ranking of suppliers. Via perturbation of the data used, behavior, as well as the benefits and weaknesses of the introduced model are presented through sensitivity analysis.

An Integrated DEA Model Allowing Decomposition of Eco-Efficiency: A Case Study of China

2017 ◽  
Vol 5 (5) ◽  
pp. 473-488 ◽  
Author(s):  
Wanbin Pan ◽  
Lei Huang ◽  
Linlin Zhao
Keyword(s):  
Economic Efficiency ◽  
Economic Benefits ◽  
Environmental Efficiency ◽  
Decision Makers ◽  
Pollutant Emissions ◽  
Data Envelopment ◽  
Dea Model ◽  
Almost All ◽  
Economic Efficiencies

Abstract A common feature of previous studies about the application of data envelopment analysis (DEA) to determine environmental and economic efficiencies is that the two were analyzed in separate models or frameworks. The purpose of this paper is to analyze the economic efficiency and environmental efficiency with a single model. This paper proposes an integrated DEA model, based on a modification of the directional distance function, which allows us to decompose the eco-efficiency (EE) into the economic efficiency (ECE) and environmental efficiency (ENE). The ECE characterizes the ability of gaining economic benefits while the ENE characterizes the ability to control pollutant emissions in production activities. Identification of ECE and ENE can help decision makers of different regions detect what kind of factor (economic inefficiency or environmental inefficiency) is the main source of eco-inefficiency. This can help decision makers more targeted to improve EE. To illustrate the feasibility of our approach, a case study of 30 regions in China is presented. The empirical results show that almost all regions have very high economic efficiencies. The environmental inefficiency is the main source of eco-inefficiency. The differences of environmental efficiencies lead to the differences of eco-efficiencies in the east, central and west areas, while the economic efficiencies do not have significant differences among these areas. The economic efficiencies showed an opposite “V” shape and the environmental efficiencies showed a decreasing trend during the period 2010–2014.

scholarly journals Analysis of Farming Environmental Efficiency Using a DEA Model with Undesirable Outputs

2014 ◽  
Vol 10 ◽  
pp. 154-158 ◽  
Author(s):  
Hsing-Fu Kuo ◽  
Hsiang-Leng Chen ◽  
Ko-Wan Tsou
Keyword(s):  
Environmental Efficiency ◽  
Undesirable Outputs ◽  
Dea Model

scholarly journals Regional Differences of Manufacturing Green Development Efficiency Considering Undesirable Outputs in the Yangtze River Economic Belt Based on Super-SBM and WSR System Methodology

2021 ◽  
Vol 8 ◽  
Author(s):  
Gen Li ◽  
Ying Zhou ◽  
Fan Liu ◽  
Tao Wang
Keyword(s):  
Influencing Factors ◽  
Regional Differences ◽  
Yangtze River ◽  
Manufacturing Industry ◽  
Mean Value ◽  
Three Dimensions ◽  
Scale Efficiency ◽  
Undesirable Outputs ◽  
The Yangtze River ◽  
Green Development

To explore the evolution mechanism of manufacturing green development efficiency is of great significance to realize green transformation of manufacturing industry in the Yangtze River Economic Belt. This paper fully considers the resource inputs and undesirable outputs in the production process and applies WSR methodology to construct the index system of influencing factors. Based on the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 1998 to 2017, the super-SBM model is used to calculate the manufacturing green development efficiency. Then, the regional differences of manufacturing green development efficiency in the Yangtze River Economic Belt are deeply analyzed. Finally, Tobit model is applied to analyze the influencing factors of the manufacturing green development efficiency. And it turns out, during the statistics period, manufacturing green development efficiency in the Yangtze River Economic Belt is “U” shaped distribution, the mean value of each province over the years is 0.812, which is at the medium development level; the manufacturing green development efficiency in the Yangtze River Economic Belt is on the rise, and the low scale efficiency is the main reason that restricts the manufacturing green development efficiency in the Yangtze River Economic Belt. All the influencing factors have different effects on the manufacturing green development efficiency in different regions. Therefore, this paper puts forward corresponding policy suggestions from the three dimensions of Wuli, Shili and Renli.

Sign in / Sign up

Export Citation Format

Share Document