A CROSS-EFFICIENCY DATA ENVELOPMENT ANALYSIS (DEA) BASED MODEL FOR MEASURING ENVIRONMENTAL PERFORMANCE

2014 ◽  
Vol 13 (5) ◽  
pp. 1139-1146 ◽  
Author(s):  
Xianguo Li ◽  
Jing Yang ◽  
Zhixiang Zhou
Keyword(s):  
Data Envelopment Analysis ◽  
Environmental Performance ◽  
Data Envelopment ◽  
Efficiency Data

scholarly journals Environmental Performance Assessment of Energy-Consuming Sectors Through Novel Data Envelopment Analysis

2022 ◽  
Vol 9 ◽  
Author(s):  
Yangang Xue ◽  
Muhammad Mohsin ◽  
Farhad Taghizadeh-Hesary ◽  
Nadeem Iqbal
Keyword(s):  
Energy Consumption ◽  
Data Envelopment Analysis ◽  
Environmental Performance ◽  
Poor Performance ◽  
Electricity Sector ◽  
Data Envelopment ◽  
Primary Input ◽  
Decision Making Unit ◽  
Energy Consuming ◽  
The Government

This study evaluates the role of information in the environmental performance index (EPI) in different energy-consuming sectors in Pakistan through a novel slack-based data envelopment analysis (DEA). The index combines energy consumption as the primary input and gross domestic product (GDP) as the desirable output and CO2 emissions as the undesirable output. Yale’s EPI measures the efficiency of the sectoral level environmental performance of primary energy consumption in the country. Performance analysis was conducted from 2009 to 2018. The sectors were assigned scores between one and zero, with zero indicating maximum decision-making unit (DMU) inefficiency and one indicating maximum DMU efficiency. Despite being in the top-performing sector, agriculture scored only 0.51 in 2018, and the electricity sector obtained 0.412. Results also show that even the best-performing sector operates below the efficiency level. The mining and quarrying sector ranked second by obtaining 0.623 EPI and 0.035 SBEPI. Results also show that much of the energy supply of Pakistan (60.17%) is focused on fossil fuels, supplemented by hydropower (33%), while nuclear, wind, biogas, and solar power account for 5.15%, 0.47%, 0.32%, and 0.03%, respectively. Nonetheless, the overall results for both measures remained reasonably consistent. According to the literature and the energy crisis and climate instability dilemma, the authors conclude that changes to a diverse green power network are a possibility and an imminent need. Similarly, the government should penalize companies with poor performance. Furthermore, to ensure the capacity development and stability of environmental management and associated actions in the country, providing access to knowledge and training to groom human resources and achieve the highest performance is crucial.

scholarly journals The Efficiency of Waste Sector in Italy: An Application by Data Envelopment Analysis

2020 ◽  
Vol 24 (3) ◽  
pp. 225-238
Author(s):  
Massimo Gastaldi ◽  
Ginevra Virginia Lombardi ◽  
Agnese Rapposelli ◽  
Giulia Romano
Keyword(s):  
Data Envelopment Analysis ◽  
Environmental Performance ◽  
Returns To Scale ◽  
Sustainable Growth ◽  
Waste Reduction ◽  
Data Envelopment ◽  
Environmental Legislation ◽  
Dea Models ◽  
Developed Nations ◽  
Variable Returns To Scale

AbstractWith growing environmental legislation and mounting popular concern for the need to pursuing a sustainable growth, there has been an increasing recognition in developed nations of the importance of waste reduction, recycling and reuse maximization. This empirical study investigates both ecological and economic performances of urban waste systems in 78 major Italian towns for the years 2015 and 2016. To this purpose the study employs the non-parametric approach to efficiency measurement, represented by Data Envelopment Analysis (DEA) technique. More specifically, in the context of environmental performance we implement two output-oriented DEA models in order to consider both constant and variable returns to scale. In addition, we include an undesirable output – the total amount of waste collected – in the two models considered. The results show that there is variability among the municipalities analysed: Northern and Central major towns show higher efficiency scores than Southern and Islands ones.

Efficiency Comparison in Chinese Construction Industry Based on Data Envelopment Analysis and Super Efficiency Data Envelopment Analysis

2013 ◽  
Vol 275-277 ◽  
pp. 2788-2792
Author(s):  
You Min Gao ◽  
Xiao Wen Wang
Keyword(s):  
Data Envelopment Analysis ◽  
Construction Industry ◽  
Empirical Analysis ◽  
National Economy ◽  
Statistical Data ◽  
Data Envelopment ◽  
Super Efficiency ◽  
Efficiency Comparison ◽  
Efficiency Data

Construction industry is a main industry in national economy, Chinese construction industry has made huge achievement, but the developments between different provinces in China are imbalanced. To compare the different efficiencies between them, data envelopment analysis and an important extended means of DEA were introduced, compared and applied in empirical analysis of Chinese construction industry efficiency between different provinces based on statistical data. Then some conclusions and advices were reached in the end.

scholarly journals Efektywność akademickich klubów sportowych funkcjonujących w szkolnictwie wyższym

Ekonomia ◽  
2019 ◽  
Vol 25 (2) ◽  
pp. 9-20
Author(s):  
Łukasz Brzezicki
Keyword(s):  
Data Envelopment Analysis ◽  
Empirical Models ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Sports Clubs ◽  
Sports Events ◽  
Efficiency Data

Efficiency of academic sports clubs operating in higher educationIn the article, the efficiency of 29 academic sports clubs in 2017 was measured using the NR-DEA non-radial-efficiency data envelopment analysis model. Two empirical models characterizing two different areas of activity of academic sports clubs were used in the study. The first model M1 fo­cused on club productivity, it includes the number of people practicing in the club and the total number of points obtained in the Polish Academic Championships. The second model M2 focused on club activity, it takes into account the number of organized events and participants taking part in the events. The results obtained show that sports clubs of technical universities were more often effective in terms of productivity than in terms of activity. A different situation occurs in university clubs, which were more often effective in terms of the activity of sports events, sporadically in terms of productivity.

ECOEFFICIENCY MEASUREMENT USING DATA ENVELOPMENT ANALYSIS: RESEARCH AND PRACTITIONER ISSUES

2004 ◽  
Vol 06 (01) ◽  
pp. 91-123 ◽  
Author(s):  
JOSEPH SARKIS ◽  
SRINIVAS TALLURI
Keyword(s):  
Data Envelopment Analysis ◽  
Environmental Performance ◽  
Published Data ◽  
Data Envelopment ◽  
Environmentally Conscious ◽  
Use Of Data ◽  
Dea Models ◽  
Using Data ◽  
Environmental Performance Evaluation ◽  
Insight Into

Ecoefficiency is critical for organisations that seek to be both environmentally conscious and profitable. Ecoefficiency has implications for a "win-win" situation to arise. Studying and managing organisations from this perspective requires an evaluation of ecoefficiency. To aid researchers and managers develop measures for ecoefficiency we review the use of data envelopment analysis (DEA) for this purpose. DEA theory and application has increased greatly. Its use as a tool for environmental performance evaluation has been limited. In this paper we provide a number of DEA models and some extensions and how they can be utilised from both the practitioner and researcher perspective. An illustrative example from published data helps to gain insight into the various models, their capabilities and limitations.

Sign in / Sign up

Export Citation Format

Share Document