Measuring energy and environmental efficiency of transportation systems in China based on a parallel DEA approach

Wu, Jie; Zhu, Qingyuan; Chu, Junfei; Liu, Hongwei; Liang, Liang

doi:10.1016/j.trd.2015.08.001

Cited by 180 publications

(65 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…DEA results showed that two-thirds of the wind farms were operated efficiently, and the Tobit regression model showed that the brand choice of the wind turbine had a significant impact on the productive efficiency of wind farms. Similarly, Wu et al [48] used DEA methodology to obtain the efficiency scores of wind farms in China in the first stage and then used the Tobit regression model to examine the relationship between the efficiency scores and environment variables in the second stage.…”

Section: Literature Reviewmentioning

confidence: 99%

A two-stage analytical approach to assess sustainable energy efficiency

Ervural

Zaim

2018

Energy

View full text Add to dashboard Cite

Section: Literature Reviewmentioning

confidence: 99%

A two-stage analytical approach to assess sustainable energy efficiency

Ervural

Zaim

2018

Energy

View full text Add to dashboard Cite

“…DEA was used to compute country-level efficiencies and ANOVA was used to carry out regional comparisons. Again in a transportation related study, Wu et al (2016) applied DEA to measure the energy and environment performance of transportation systems in China with the goal of sustainable development. We do not intend to do a comprehensive literature review in this paper, but one last application to show the diversity of industries that DEA has been applied in, Wu and Lin (2008) conducted revealed comparative advantage (RCA) analysis to investigate India's logistics competitiveness and subsequently used DEA to analyze the efficiency of India's container port operations, using data from the transportation and freight service industry during 2000-2005. As most industries within the service sector come to terms with maturing markets, profitability will increasingly be sourced from higher productivity.…”

Section: Dea Literaturementioning

confidence: 99%

Measuring aftersales productivity by multi attribute decision making methods: An application in the automotive sector

Gençer¹,

Akküçük²

2018

Int. j. adv. appl. sci.

View full text Add to dashboard Cite

The aim of the research is to propose a Data Envelopment Analysis (DEA) methodology for the performance evaluation of 76 dealers of Hyundai in Turkey in terms of after sales services such as repair and maintenance. Through this work, appropriate inputs and outputs are determined and the DEA methodology is applied for 76 dealers. DEA is a multi-criteria decision making model that can be used to determine rank orders of units when there are given inputs and outputs. Three inputs and four outputs are determined by the authors and expert opinion. After data collection and DEA analysis, we reported the ranks of 76 dealers after sales services and classify the ranks by regions in order to spotlight certain regional considerations (such as popular touristic destinations) in terms of after sales performance. Research is limited to a specific brand and can be extended to include other brands in the future. Also, other after sales services such as appliance repair can be included. After sales service personnel can easily use the method by Excel and can see their performance with respect to other dealers. As dealers can see performance based incentives becoming a major part of their total profits being able to see the relative positions among the many dealers would have practical implications.

show abstract

“…The first is to expand the scope of efficiency research. The analysis of urban scales is more granular than provincial ones [80] and more systematic than industrial parks [81], businesses [41], and industries [82]. A city is an important carrier of human activities in production and life.…”

Section: Implications For Policy-makingmentioning

confidence: 99%

A Road to Sustainable Development of Chinese Cities: A Perception of Improving Urban Management Efficiency Based on Two-Level Production Factors

Zhang

Chu

et al. 2017

Sustainability

View full text Add to dashboard Cite

Abstract:It is an inevitable requirement of regional governance and sustainable development to improve urban management efficiency (UME). Different from the previous studies, this paper gives it a new meaning based on the production factors theories. Then the paper analyzes the response of UME to the primary production factors (PPFs) characterized by the traditional production factors theory (land, labor, and capital), and the expanded production factors (EPFs) reflected by the modern production factors theory (energy and ecology). By analyzing UME in China's 334 cities on global and local scales, this paper found four characteristics of UME: (1) the striking spatial differences; (2) the strong correlation between management models; (3) the evident development emphasis; and (4) the weak matching linkage. Finally, we put forward the countermeasures of spatial governance, including strengthening the agglomeration effect, promoting diversified development models on different scales, and accelerating resource coordination and sharing.

show abstract

Measuring energy and environmental efficiency of transportation systems in China based on a parallel DEA approach

Cited by 180 publications

References 46 publications

A two-stage analytical approach to assess sustainable energy efficiency

A two-stage analytical approach to assess sustainable energy efficiency

Measuring aftersales productivity by multi attribute decision making methods: An application in the automotive sector

A Road to Sustainable Development of Chinese Cities: A Perception of Improving Urban Management Efficiency Based on Two-Level Production Factors

Contact Info

Product

Resources

About