A Study on Efficiency and Productivity Analysis of Mokpo Port -DEA model and FCM combined analysis-

2020 ◽  
Vol 36 (1) ◽  
pp. 183-196
Author(s):  
Sam-Youl Kim ◽  
Thi Quynh Mai ◽  
Kyoung-Hoon Choi
2021 ◽  
Vol 13 (13) ◽  
pp. 7401
Author(s):  
Sedef E. Kara ◽  
Mustapha D. Ibrahim ◽  
Sahand Daneshvar

This paper examines the dual efficiency of bioenergy, renewable hydro energy, solar energy, wind energy, and geothermal energy for selected OECD countries through an integrated model with energy, economic, environmental, and social dimensions. Two questions are explored: Which renewable energy alternative is more dual efficient and productive? Which renewable energy alternative is best for a particular country? Data envelopment analysis (DEA) is used for the efficiency evaluation, and the global Malmquist productivity index is applied for productivity analysis. Results indicate bioenergy as the most efficient renewable energy alternative with a 20% increase in average efficiency in 2016 compared to 2012. Renewable hydro energy, wind energy, and solar energy show a 17.5%, 16%, and 11% increase, respectively. The average efficiency growth across all renewable energy alternatives signifies major advancement. Country performance in renewable energy is non-monolithic; therefore, they should customize their renewable energy portfolio accordingly to their strengths to enhance renewable energy efficiency. Renewable hydro appears to have the most positive productivity change in 2016 compared to 2012, while solar energy regressed in productivity due to its scale inefficiency. All renewable energy alternatives have relatively equal average pure efficiency change. The positive trend in efficiency and productivity provides an incentive for policy makers to pursue further development of renewable energy technologies with a focus on improving scale efficiency.


2019 ◽  
Vol IV (III) ◽  
pp. 71-79
Author(s):  
Adnan Ahmad ◽  
Muhammad Ilyas ◽  
Muhammad Nisar Khan

This study reviews the growth strategies and their effect on the efficiency and productivity of the microfinance sector of Pakistan. The sector needs to have adopted intensive growth strategy instead of extensive strategies of wide expansion in term of physical infrastructure and human resources, which had increased the financial sustainability risks for the credit constrain institutions. The sixdimension model of outreach used in this study also shows that the sector does not achieve the targets set forth for these micro finance institutes with respect to its active borrowers’ outreach. The sector has mainly focused the big cities and urban areas whereas the poverty levels are higher in rural areas. The government has also shown its interest by launching two different types of loan schemes. Among the three different types of institution, the microfinance banks dominate the sector.


Author(s):  
Alina Syp ◽  
Dariusz Osuch

The aim of the study was assessment of efficiency and productivity of farms in the Lublin province in the years 2014-2016. The analysis was based on the Data Envelopment Analysis (DEA) model oriented on inputs and Malmquist indices with its components. The calculations were made for medium-sized field and dairy farms that continuously collected data for the FADN system during the period under consideration. In our research all efficiency indicators for dairy farms were larger than for field crop farms. In the years 2014-2016, the average technical efficiency of dairy farms was 0.752, which means that in those farms it is possible to reduce inputs on average by 25% and the value of production will remain at the same level. In the case of field crop farms, inputs should be limited by 33%. The applied decomposition of calculated Malmquist indices allowed to define what factors influenced changes in productivity.


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