scholarly journals Strategies to increase production efficiency in Indonesian Sharia commercial banks using Stochastic Frontier Approach (SFA)

2019 ◽  
Vol 21 (3) ◽  
pp. 379 ◽  
Author(s):  
Pratystya Ika Wardhani ◽  
Abdul Mongid
Keyword(s):  
Commercial Banks ◽  
Production Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Islamic Banks ◽  
Tobit Regression ◽  
Increase Production Efficiency ◽  
Frontier Analysis ◽  
Asset Quality

The purpose of this research is to examine the right strategy in increasing production efficiency in Sharia commercial banks in Indonesia. This research was conducted in two stages of testing. The first stage is estimating the level of production efficiency of Indonesian Islamic banks in 2010-2017 through the Stochastic Frontier Analysis (SFA) approach. The second stage uses Tobit regression to examine the relationship between the efficiency of production of sharia commercial banks with specific bank characteristics, including; LASSET, CAR, NPF, GCG, NOM and FDR. The results indicate that the level of production efficiency of sharia commercial banks is strongly influenced by several things. From the input side, optimization of DPK, PSC and LC components is needed to maximize production efficiency. This study also found that CAR (solvency performance), NPF (asset quality performance), NOM (profitability performance), and FDR (liquidity performance) greatly influenced variations in the efficiency of Indonesian Islamic banks. Improving the quality of financing supported by an increase in the operational system and the quality of human resources and began to concentrate on revenue sourced from services to be a solution that could be implied by Indonesian Islamic banks.

scholarly journals Indonesian Islamic Commercial Banks’ Efficiency: A Stochastic Frontier Analysis

2020 ◽  
Vol 5 (3) ◽  
pp. 386
Author(s):  
Sylva Alif Rusmita ◽  
Devy Ariesta Putri
Keyword(s):  
Financial Services ◽  
Commercial Banks ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Islamic Banks ◽  
Excellent Performance ◽  
Financial Reports ◽  
Frontier Analysis ◽  
Efficiency Performance ◽  
The Cost

Islamic banks in Indonesia are continuously experiencing a rapid growth; thus, it results in a competitive financial sector. Consequently, maintaining an excellent performance is a prerequisite to gain customers’ trust and loyalty, one of the ways is enhancing productivity and efficiency performance. Drawing on this issue, the present study aims to examine the efficiency of Islamic banks listed in the Financial Services Authority (OJK) in the period of 2015 to 2019. Employing Stochastic Frontier Analysis (SFA) as a parametric approach, this study measured the efficiency level of cost and profit efficiency of the Indonesian Islamic commercial banks. The data were a cross-section and panel data obtained from financial reports established by seven Indonesian Islamic commercial banks. The result of frontier analysis on the efficiency costs showed that the value of sharia banks’ average efficiency in Indonesia was approximately 93.41%, while the efficiency of profit resulted in 55.35%. These results suggest that Islamic banks tend to be efficient in controlling costs from the year of 2015 to 2019. It is a worth saying that this study’s results contribute to providing fruitful insights for Islamic banks to increase their efficiency by controlling their cost of production such as the cost of funds and cost of operation.

An Efficiency Analysis of Micro Units in a Fragile Zone: A Panel Study of the Firms in J&K, India

2021 ◽  
pp. 097492922110448
Author(s):  
Javaid Iqbal Khan ◽  
Mehak Majeed ◽  
Saeed Owais Mushtaq
Keyword(s):  
Stochastic Frontier Analysis ◽  
Small And Medium Enterprises ◽  
Panel Study ◽  
Stochastic Frontier ◽  
Negative Relationship ◽  
Jel Classification ◽  
Tobit Regression ◽  
Jammu And Kashmir ◽  
Frontier Analysis ◽  
The Government

The micro, small and medium enterprises (MSMEs) are the backbone of the community development in the developing world. In the fragile and backward regions, it is the micro enterprise that is considered to be the engine of growth and development. Being labour-intensive and requiring lesser capital input, the micro unit start-ups demand lesser investment in plant and machinery, attracting more and more potential entrepreneurs. Over the time, such units gain experience and knowledge becoming more efficient. This article studies the firms located in the fragile and geographically remote region of Jammu and Kashmir. The article uses a panel of 15 years from 2002 to 2016 based on the Annual Survey of Industries data. Using the Stochastic Frontier Analysis, the article studies the MSMEs and the micro units. From the post-estimation, technical efficiency scores are attained for both MSMEs and the micro units. The results reveal that the micro units are more efficient than the MSMEs in general. Tobit regression is used to estimate the technical inefficiency model to determine the factors that contribute to the inefficiency present in the micro units. The results show that there is a negative relationship between the efficiency of the micro unit firms and the asset-liability ratio and the loan-liability ratio, while there is a positive relationship between the private ownership of the firm and the efficiency level. Age of the firm is considered separately to validate the ‘learning theory’ by Jovanovic. The article concludes by suggesting that the government must provide adequate boost and a big-push to the micro units in order to eradicate the widespread unemployment and fragility in the region. JEL Classification: F61, L25

Is Italian R&D spending becoming more efficient?

2009 ◽  
pp. 187-198
Author(s):  
Andrea Conte
Keyword(s):  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Jel Classification ◽  
Economic Downturn ◽  
Economic Data ◽  
Frontier Analysis ◽  
Empirical Estimates ◽  
Cross Country ◽  
Over Time

- The recent economic downturn is putting increasing pressure on governments to improve the quality of their public finances. Using macro-economic data on R&D expenditures and patents, this paper aims to determine whether business and government R&D spending has become more efficient over time and in comparison to other EU countries. Descriptive evidence is coupled with empirical estimates of cross-country efficiency of R&D expenditure calculated by the Stochastic Frontier Analysis. . Keywords: R&D, patents, efficiency, public finance Parole chiave: R&S, brevetti, efficienza, finanza pubblica. Jel Classification: O33 - H50 - C23

scholarly journals Evaluation of Manufacturing Competitiveness of Hubei Province Based on Stochastic Frontier Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Weidong Gai ◽  
Lei Zhou ◽  
Chun Chen
Keyword(s):  
Manufacturing Industry ◽  
Production Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Hubei Province ◽  
Central China ◽  
Frontier Analysis ◽  
Industrial Enterprises ◽  
Promotion Policies ◽  
Manufacturing Competitiveness

The manufacturing level directly manifests the comprehensive strength of a country or region. Production efficiency provides an important metric of the competitiveness of the manufacturing industry. Based on the data of China’s industrial enterprises of 1999–2011, this paper estimates the production efficiency of manufacturing in Central China’s Hubei Province through stochastic frontier analysis (SFA) and thus characterizes the differences between prefectures of Hubei in manufacturing competitiveness. The results show that, on the prefecture level, Xianning and Wuhan saw a decline in manufacturing competitiveness, while Xiangfan and Xiaogan witnessed an increase in manufacturing competitiveness. To enhance local manufacturing competitiveness and make Hubei the forerunner and cornerstone of Central China, different prefectures should adopt different industrial promotion policies, pay attention to cultivating the technological innovation capabilities of enterprises, and strengthen the integration of production, education, and research.

scholarly journals Southeastern Peanut-Production Cost Efficiency Under the Quota System: Implications for the Farm-Level Impacts of the 2002 Farm Act

2006 ◽  
Vol 38 (1) ◽  
pp. 213-224 ◽  
Author(s):  
Denis A. Nadolnyak ◽  
Stanley M. Fletcher ◽  
Valentina M. Hartarska
Keyword(s):  
Production Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
The United States ◽  
Farm Size ◽  
Quota System ◽  
Frontier Analysis ◽  
Farm Level ◽  
Peanut Production ◽  
Growing Conditions

In the article, stochastic frontier analysis of peanut-production efficiency in the Southeastern region of the United States is conducted with a view of assessing the likely farm-level impacts of the 2002 Farm Act. Results indicate that, although quota ownership did not significantly impact inefficiency, it is likely that limitations on the quota's transferability to areas with better growing conditions were a significant cause of inefficiency. The acreage shifts and improved yields following the passage of the 2002 Farm Act support this conclusion. Certain farm characteristics, such as farm size and operator's education and age, were also important for efficiency.

HOW LARGE ARE PRODUCTIVITY DIFFERENCES BETWEEN ISLAMIC AND CONVENTIONAL BANKS?

2019 ◽  
pp. 1-20
Author(s):  
WAHIDA AHMAD ◽  
DAVID PRENTICE
Keyword(s):  
Productivity Growth ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Production Functions ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Frontier Analysis ◽  
The Difference ◽  
Conventional Banks

Despite the enormous growth in Islamic banking, most studies, using DEA/Stochastic Frontier Analysis, find Islamic banks are either equally or less productive than conventional banks. We apply the Olley–Pakes (OP) and Ackerberg–Caves–Frazer (ACF) approaches for estimating the production functions of conventional, Islamic and mixed banks in Bahrain and Malaysia between 1990 and 2011. The ACF results are the most plausible. Though Islamic banks tend to be less efficient than conventional banks the difference is not statistically significant. In Malaysia, mixed banks are significantly more productive than other banks and tend to have faster productivity growth.

scholarly journals Measuring banking efficiency in Vietnam: parametric and non-parametric methods

2019 ◽  
Vol 14 (1) ◽  
pp. 55-64 ◽  
Author(s):  
Loan Thi Vu ◽  
Nga Thu Nguyen ◽  
Linh Hong Dinh
Keyword(s):  
Commercial Banks ◽  
Stochastic Frontier Analysis ◽  
Positive Impact ◽  
Parametric Method ◽  
State Ownership ◽  
Tobit Regression ◽  
Banking Efficiency ◽  
Frontier Analysis ◽  
The Impact ◽  
Non Parametric

The article aims to evaluate the business efficiency of commercial banks in Vietnam using both parametric and non-parametric approaches. In this study, the Stochastic Frontier Analysis (SFA), which belongs to a parametric method, and Data Envelopment Analysis (DEA), a non-parametric approach, are applied to a sample of 30 joint stock commercial banks in Vietnam in the period of 2011–2015. Applying Tobit regression model, the impact of bank size, bank age, and the ownership feature on the efficiency of bank service industry in Vietnam is also investigated. The analysis results show that in general, the Vietnamese banking efficiency is improving during the selected period regardless of techniques used. However, there is small level of similarity in efficiency rankings identified from the SFA and DEA models. In terms of efficiency determinants, the results show that all three variables of size, age, and state ownership have a positive impact on bank efficiency.

Hope for Change: Is Diversifying Production Portfolios an Ideal Strategy to Boost Farming Efficiency in Afghanistan?

2021 ◽  
pp. 146499342110317
Author(s):  
Hayatullah Ahmadzai
Keyword(s):  
Production Efficiency ◽  
Management Practices ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Farm Households ◽  
Crop Diversification ◽  
Endogeneity Bias ◽  
Frontier Analysis ◽  
Farming Efficiency ◽  
Production Efficiencies

In this article, I present empirical evidence on the extent of crop diversification and assess its merits as a strategy for improving production efficiency in Afghanistan. The transformed Herfindahl–Harshman index is used to measure the scale and magnitude of crop diversification. I find a compelling evidence that diversifying production portfolios significantly improves production efficiencies. This finding is critical, given that the data show that nearly a third of the farm households do not diversify, achieving, on average, about 52% of potential revenues. The estimated efficiency scores reveal that, on average, the farm households in our analytical sample of over 7,000 households achieve 74% of potential revenue, with nearly 15% of households realizing less than 50% and about 23% between 50% and 70% of potential revenue. These results infer that there exist substantial inefficacies in agricultural production that can be eliminated by employing improved management practices without having to use additional inputs and production resources and rising cost of production. Our results are robust to potential endogeneity bias in crop diversification; I account for the endogeneity problem in the stochastic frontier analysis, by employing a recent estimation approach, using instrumental variable techniques. Mapping the spatial distribution of crop diversification index and estimated efficiency scores across the country revealed that districts with higher diversification levels correspond to higher efficiency indices. Aside from crop diversification, other socio-economic factors also have critical implications for efficiency; households with access to farm assets (such as land, cattle, oxen and tractor) and extension services appear to realize substantially higher production efficiencies. A direct policy recommendation that can be generated from the findings of this study is that crop diversification should be given more recognition by policymakers to enhance productivity and resilience in agriculture.

scholarly journals The Determinants of Technical Efficiency of Hazelnut Production in Azerbaijan: An Analysis of the Role of NGOs

2019 ◽  
Vol 11 (16) ◽  
pp. 4332 ◽  
Author(s):  
Orkhan Guliyev ◽  
Aijun Liu ◽  
Gershom Endelani Mwalupaso ◽  
Jarkko Niemi
Keyword(s):  
Technical Efficiency ◽  
Production Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Stakeholder Involvement ◽  
Cross Sectional ◽  
Frontier Analysis ◽  
Government Organizations ◽  
Good Organization

The role of non-government organizations (NGOs) has been commendable in promoting sustainable farming. Through mobilization of existing resources and provision of training to farmers on various agriculture subjects, NGOs could trigger increased productivity and agricultural sustainability. However, empirical evidence on this claim is limited and no study recognizes the supporting conditions required for NGO intervention to improve productivity. Cross-sectional data from hazelnut farmers in Azerbaijan are used to evaluate the role of NGO intervention in improving farmers’ technical efficiency. To this end, stochastic frontier analysis (SFA) is applied to study hazelnut farmers’ production efficiency. Three different measures are employed to estimate NGO intervention: Training, subsidy and, a combination of training and subsidy. The results indicate that NGO intervention is not significant in influencing technical efficiency. This is attributable to the absence of good organization, innovation orientation, accountability and stakeholder involvement and support which are the necessary supporting conditions facilitating an enabling environment for NGO intervention to improve farmers’ technical efficiency. Therefore, we recommend policy directed at addressing these issues in order to simultaneously enhance farmers’ productivity and improve the functioning of the NGOs. Beyond NGO intervention, encouraging farmers to specialize in hazelnut production and allocating more suitable land for hazelnut production will also improve farmers’ technical efficiency significantly.

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