Analysis of Efficiency for the Selection of Benchmarking Model to Prepare When a Korean Nuclear-powered Submarine Will be Acquired: Focusing on a Directional Distance Function Model

2021 ◽  
Vol 4 (2) ◽  
pp. 96-108
Author(s):  
Miae Jeong ◽  
Youngjae Choi ◽  
Seungjin Lee ◽  
Junghwan Lee
Keyword(s):  
Distance Function ◽  
Directional Distance Function ◽  
Function Model ◽  
Selection Of

scholarly journals A Study of Regional Power Generation Efficiency in China: Based on a Non-Radial Directional Distance Function Model

2019 ◽  
Vol 11 (3) ◽  
pp. 659 ◽  
Author(s):  
Jin Zhu ◽  
Dequn Zhou ◽  
Zhengning Pu ◽  
Huaping Sun
Keyword(s):  
Environmental Policy ◽  
Technological Change ◽  
Distance Function ◽  
Production Efficiency ◽  
Power Production ◽  
Directional Distance Function ◽  
Total Carbon ◽  
Regional Power ◽  
Function Model ◽  
Significant Difference

With the deterioration caused by environmental pollution, studies on the low-carbon economy have received more attention. As far as we know, electricity production accounts for a large portion of total carbon emissions. Therefore, based on panel data from 2005 to 2014, we used the non-radial directional distance function model based on the data envelope analysis (DEA) to evaluate the static electricity product efficiency of various provinces in China. Further, the global Malmquist index was introduced to analyze the main factors. The relationship between the environmental policy stringency and the regional power production efficiency was also investigated. Static results show that China’s regional power production efficiency has a significant difference between coastal developed and inland areas. Dynamic evaluation further proved that the difference is mainly due to technological change. Finally, regression results show that technological change is the only factor directly affecting regional environmental policy stringency.

scholarly journals Directional Distance Function Technical Efficiency of Chili Production in Thailand

2021 ◽  
Vol 13 (2) ◽  
pp. 741
Author(s):  
Wirat Krasachat ◽  
Suthathip Yaisawarng
Keyword(s):  
Distance Function ◽  
Rainy Season ◽  
Sample Selection ◽  
Agricultural Practices ◽  
Directional Distance Function ◽  
Dry Season ◽  
Small Samples ◽  
Function Technique ◽  
Security Problem ◽  
Gap Technology

To overcome the challenging food safety and security problem, in 2003, the Thai government initiated ‘Good Agricultural Practices’ (GAP) technology. This paper used a sample of 107 small chili farms from the Chiyaphoom province for the 2012 crop year, and data envelopment analysis (DEA) meta-frontier directional distance function technique to answer two questions: (1) Are GAP-adopting farms, on average, more efficient than conventional farms? (2) Does access to GAP technology affect farmers’ decisions to adopt GAP technology? We also developed an ‘indirect’ approach to reduce the potential sample selection bias for small samples. For the dry-season subsample, GAP farms were more technically efficient when compared with non-GAP farms. These dry-season non-GAP farms may not adopt the GAP method because they have limited access to GAP technology. For the rainy-season subsample, on average, GAP farms were more efficient than non-GAP farms at the 5% level. Access to the GAP technology is not a possible reason for non-GAP rainy season farms to not adopt the GAP technology. To enable sustainable development, government agencies and nongovernmental organizations (NGOs) must develop and implement appropriate educational and training workshops to promote and assist GAP technology adoption for chili farms in Thailand.

scholarly journals Measurement of Dynamic Efficiency: A Directional Distance Function Parametric Approach

2011 ◽  
Vol 93 (3) ◽  
pp. 756-767 ◽  
Author(s):  
Teresa Serra ◽  
Alfons Oude Lansink ◽  
Spiro E. Stefanou
Keyword(s):  
Distance Function ◽  
Directional Distance Function ◽  
Dynamic Efficiency ◽  
Parametric Approach

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
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