Efficiency evaluation of healthcare services in China based on stochastic multicriteria acceptability analysis and directional distance function

2021 ◽  
Author(s):  
Fangqing Wei ◽  
Xiaoqi Zhang ◽  
Jiayun Song ◽  
Feng Yang
Keyword(s):  
Distance Function ◽  
Healthcare Services ◽  
Directional Distance Function ◽  
Efficiency Evaluation

Modeling European Health Regional Systems through a Directional Distance Function Metafrontier framework. Are there any differences?

2017 ◽  
Author(s):  
Mariangela Bonasia ◽  
Oreste Napolitano ◽  
Konstantinos Elias Kounetas
Keyword(s):  
Distance Function ◽  
Directional Distance Function ◽  
Regional Systems ◽  
European Health

Selecting common projection direction in DEA directional distance function based on directional extensibility

2021 ◽  
Vol 154 ◽  
pp. 107105
Author(s):  
Junfei Chu ◽  
Fangqing Wei ◽  
Jie Wu ◽  
Zhe Yuan
Keyword(s):  
Distance Function ◽  
Directional Distance Function ◽  
Projection Direction

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 Financial development and productive inefficiency: A robust conditional directional distance function approach

2016 ◽  
Vol 145 ◽  
pp. 196-201 ◽  
Author(s):  
Sushanta Mallick ◽  
Roman Matousek ◽  
Nickolaos G. Tzeremes
Keyword(s):  
Financial Development ◽  
Distance Function ◽  
Directional Distance Function ◽  
Function Approach
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