scholarly journals EFISIENSI BANK PEMBANGUNAN DAERAH: PENDEKATAN STOCHASTIC FRONTIER

2015 ◽  
Vol 4 (1) ◽  
Author(s):  
Ahmad Husein Fadhlullah
Keyword(s):  
Human Resources ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Output Variable ◽  
Frontier Analysis ◽  
Average Efficiency ◽  
Regional Bank ◽  
Regional Banks ◽  
Efficiency Rate ◽  
Percent Efficiency

The objective of this research is to analyze the efficiency rate at Islamic regional banks (BPD) in Indonesia, with case of 15 Islamic regional banks from 2008 – 2012. The method that used in this research is stochastic frontier analysis approach (SFA), which uses the input variable (such as human resources cost, administration cost, and other expenses) and the output variable is SFA (operational income). The average efficiency rate from 15 Islamic regional banks from 2008 – 2012 with SFA method is 53.21 percent and all of the Islamic regional banks doesn’t achieve the 100 percent efficiency. The most efficient banks is Islamic regional bank of Kalimantan Barat which the efficiency rate achieve 90.42 percent and the most inefficiency banks is Islamic regional bank of Sumatera Barat. The average efficiency rate from 2008-2012 is always increase each year. In 2008 the average efficiency rate only 33.57 percent and in the last of 2012 achieve 71.81 percent.DOI: 10.15408/sjie.v4i1.2291

scholarly journals Measurement and Comparison of Efficiency of Saving and Loan Cooperatives in Jakarta, Indonesia, through the Stochastic Frontier Analysis

2021 ◽  
Vol 4 (2) ◽  
pp. 68
Author(s):  
. Sudarmadji ◽  
Zarina Md. Nor ◽  
Fazelina Sahul Hamid ◽  
Anton Abdulbasah Kamil
Keyword(s):  
General Public ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Operating Costs ◽  
Local Market ◽  
Government Employees ◽  
Frontier Analysis ◽  
Average Efficiency ◽  
Total Capital ◽  
Savings And Loan

Savings and loan cooperatives play an important role in the Indonesian economy as they also contribute to providing capital in the local market. This study examines the efficiency of savings and loan cooperatives in terms of number of members, total capital and operating costs and their effects on profits, total assets, disbursed loans and debt repayments. Two types of savings and loan cooperatives studied are savings and loan cooperatives owned by government employees and savings and loan cooperatives owned by the general public (community owned). The efficiency of these two types of cooperatives is studied separately and comparatively using the parametric Stochastic Frontier Analysis (SFA) method. and the research involved a total of 22 cooperatives from five areas in Jakarta. The results of the study used the SFA method and found that the average efficiency of community-owned cooperatives was greater than cooperatives owned by government employees.   Received: 9 May 2021 / Accepted: 5 August 2021 / Published: 5 November 2021

scholarly journals Wheat yield gaps across smallholder farming systems in Ethiopia

2021 ◽  
Vol 41 (1) ◽  
Author(s):  
João Vasco Silva ◽  
Pytrik Reidsma ◽  
Frédéric Baudron ◽  
Moti Jaleta ◽  
Kindie Tesfaye ◽  
...  
Keyword(s):  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Wheat Yield ◽  
Farming Systems ◽  
Smallholder Farming ◽  
Yield Gap ◽  
Frontier Analysis ◽  
Ecological Zones ◽  
Relative Contribution ◽  
Yield Gaps

AbstractWheat yields in Ethiopia need to increase considerably to reduce import dependency and keep up with the expected increase in population and dietary changes. Despite the yield progress observed in recent years, wheat yield gaps remain large. Here, we decompose wheat yield gaps in Ethiopia into efficiency, resource, and technology yield gaps and relate those yield gaps to broader farm(ing) systems aspects. To do so, stochastic frontier analysis was applied to a nationally representative panel dataset covering the Meher seasons of 2009 and 2013 and crop modelling was used to simulate the water-limited yield (Yw) in the same years. Farming systems analysis was conducted to describe crop area shares and the availability of land, labour, and capital in contrasting administrative zones. Wheat yield in farmers’ fields averaged 1.9 t ha− 1 corresponding to ca. 20% of Yw. Most of the yield gap was attributed to the technology yield gap (> 50% of Yw) but narrowing efficiency (ca. 10% of Yw) and resource yield gaps (ca. 15% of Yw) with current technologies can nearly double actual yields and contribute to achieve wheat self-sufficiency in Ethiopia. There were small differences in the relative contribution of the intermediate yield gaps to the overall yield gap across agro-ecological zones, administrative zones, and farming systems. At farm level, oxen ownership was positively associated with the wheat cultivated area in zones with relatively large cultivated areas per household (West Arsi and North Showa) while no relationship was found between oxen ownership and the amount of inputs used per hectare of wheat in the zones studied. This is the first thorough yield gap decomposition for wheat in Ethiopia and our results suggest government policies aiming to increase wheat production should prioritise accessibility and affordability of inputs and dissemination of technologies that allow for precise use of these inputs.

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