Addendum to “Accounting for emissions in the measurement of transit agency efficiency: A directional distance function approach” [Transportation Research Part D 12 (2007) 1–9]

2007 ◽  
Vol 12 (5) ◽  
pp. 379 ◽  
Author(s):  
B. Starr McMullen ◽  
Dong-Won Noh
Keyword(s):  
Distance Function ◽  
Directional Distance Function ◽  
Function Approach ◽  
Part D ◽  
D 12 ◽  
Transportation Research ◽  
Transportation Research Part

Examining the relationship between farm size and productive efficiency: a Bayesian directional distance function approach

2019 ◽  
Vol 50 (2) ◽  
pp. 237-246 ◽  
Author(s):  
Robertson R.B. Khataza ◽  
Atakelty Hailu ◽  
Graeme J. Doole ◽  
Marit E. Kragt ◽  
Arega D. Alene
Keyword(s):  
Distance Function ◽  
Directional Distance Function ◽  
Productive Efficiency ◽  
Function Approach ◽  
Farm Size ◽  
The Relationship

Analysis of Energy Efficiency in China with a Slack-Based Directional Distance Function Approach

2013 ◽  
Vol 291-294 ◽  
pp. 1241-1244 ◽  
Author(s):  
Rui Xiang Liu ◽  
Jing Luo
Keyword(s):  
Energy Efficiency ◽  
Environmental Regulation ◽  
Distance Function ◽  
Central Area ◽  
Average Energy ◽  
Directional Distance Function ◽  
Function Approach ◽  
Improve Energy Efficiency ◽  
Regional Energy ◽  
Energy Conversation

It is crucial to improve China’s energy efficiency in the context of energy conversation and environmental regulation. This paper approaches the measurement of Chinese regional energy efficiency based on slack-based directional distance function from a production theoretic perspective. The results show that there exists inequality among different regions in China and the east area have the best average energy efficiency for the period 2000-2009, followed by the central area. Based on these findings, this paper correspondingly proposes some policies to improve energy efficiency in China.

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