Efficiency and productivity analysis of microfinance institutions

Author(s):  
Valentina Hartarska
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.


2021 ◽  
Vol 13 (21) ◽  
pp. 12008
Author(s):  
Corrado lo Storto

This paper presents a dynamic efficiency study of the solid waste management in the municipalities of the Apulia region (Southern Italy). The study employs the non-parametric Global Malmquist Index to measure the change in productivity of the municipal solid waste service from 2010 to 2017. Three different DEA-based models are implemented to measure productivity. The first model computes the service productivity solely from the economic perspective, while the second and third models compute the service productivity from both the economic and environmental perspectives. Adopting two distinct perspectives provides a more comprehensive insight into the performance of the waste management service considering the productivity and the eco-productivity of service provision. The results from the productivity analysis show that, between 2010 and 2017, the municipal solid waste sector was still facing a transitional period characterized by low cost-efficiency and productivity growth measurements. Vice versa, the efficiency and productivity indicators improve when the analysis is performed accounting for the environmental impact. Indeed, both the eco-efficiency and eco-productivity measures increase from 2010 to 2017. Findings demonstrate the critical importance to include environmental indicators in the efficiency and productivity analysis.


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