scholarly journals Measuring the environmental efficiency of the Chinese industrial sector: A directional distance function approach

2013 ◽  
Vol 58 (5-6) ◽  
pp. 936-947 ◽  
Author(s):  
Peng Yuan ◽  
Shi Cheng ◽  
Jia Sun ◽  
Wenbo Liang
Keyword(s):  
Distance Function ◽  
Industrial Sector ◽  
Directional Distance Function ◽  
Environmental Efficiency ◽  
Function Approach

scholarly journals Holistic Impact and Environmental Efficiency of Retrofitting Interventions on Buildings in the Mediterranean Area: A Directional Distance Function Approach

2021 ◽  
Vol 11 (22) ◽  
pp. 10794
Author(s):  
Monica Cariola ◽  
Greta Falavigna ◽  
Francesca Picenni
Keyword(s):  
Distance Function ◽  
Life Cycle Cost ◽  
Optimal Solution ◽  
Mediterranean Area ◽  
Directional Distance Function ◽  
Environmental Efficiency ◽  
Function Approach ◽  
Building Stock ◽  
Simple Method ◽  
The Mediterranean

the study focuses on the application of a nonparametric methodology for evaluating the sustainability of retrofitting interventions to be applied on different typologies of buildings and different climate zones of the Mediterranean area. The paper starts from the analysis of data collected through the HAPPEN project, that is a H2020 European project which proposes a holistic approach for a deep and sustainable renovation of the Mediterranean residential Building stock. Even if the European Commission allocated considerable funds for retrofitting interventions, the choice of the optimal solution is not always that easy because several variables have to be considered. The present manuscript proposes a methodology to compare different retrofitting solutions combining Life-Cycle Cost (i.e., LCC) estimations with the nonparametric Directional Distance Function approach (i.e., DDF). In detail, the literature suggests that the DDF can be effectively used for comparing different observations through efficiency scores. The main result of the paper is the definition of a hybrid methodology that, starting from estimates of LCC and applying a DDF technique, represents a simple method for evaluating the best retrofitting intervention. Results are represented by two scores where the former represents a holistic efficiency measure, while the latter shows an environmental efficiency score.

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.

Sign in / Sign up

Export Citation Format

Share Document