Examining Production Efficiency in Higher Education: The Utility of Stochastic Frontier Analysis

2016 ◽  
pp. 441-512 ◽  
Author(s):  
Marvin A. Titus ◽  
Kevin Eagan
Keyword(s):  
Higher Education ◽  
Production Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Frontier Analysis

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.

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.

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 Analisis Efisiensi Teknis pada Usaha Peternakan Sapi Perah Rakyat di Kecamatan Lembang (Technical Efficiency Analysis of Smallholder Dairy Farming at Lembang)

1970 ◽  
Vol 4 (2) ◽  
pp. 46-56
Author(s):  
Anggraeni Efrika Cahyawati ◽  
Bagus Priyo Purwanto ◽  
Suryahadi Suryahadi
Keyword(s):  
Technical Efficiency ◽  
Production Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Dairy Farming ◽  
Ratio Test ◽  
Frontier Analysis ◽  
Lactating Cows ◽  
Smallholder Dairy ◽  
Smallholder Dairy Farming

This study aims to analyze the level of techincal production efficiency of smallholder dairy farming at Lembang, West Java Province. Data were collected from selected 60 farmers by using proportionate stratified judgemental sampling method. The respondents were categorized into two groups based on lactating cow : category 1 = 1-5 lactating cows, and category 2 = 6-10 lactating cows. Each category comprised of 30 respondents. The data analysis in this study used stochastic frontier production. The result of the analysis of category 2 indicated that the presence of technical inefficiency had effects in milk production by the significant estimated gamma coefficient, the likelihood ratio test and the predicted technical within farmers. The estimated gamma parameter (ɣ) of model for production function was 0.99, indicating about 99 percent of variation in output milk among farmers was due to differences in their technical efficiencies. The result indicated that smallholder dairy farming in Lembang is efficient with an average of technical efficiency of 91 percent. Factors influencing production efficiency are farmer's age, farming experience, and livestock ownership.Keywords : dairy farms, technical efficiency, stochastic frontier analysis

scholarly journals Efficiency Comparison and Efficiency Development of the Metallurgical Industry in the EU: Parametric and Non-parametric Approaches

2020 ◽  
Vol 68 (4) ◽  
pp. 765-774
Author(s):  
Michaela Staňková
Keyword(s):  
Czech Republic ◽  
Production Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Metallurgical Industry ◽  
Analysis Method ◽  
The Czech Republic ◽  
Frontier Analysis ◽  
Parametric Data ◽  
Non Parametric

This article deals with the development of technical (production) efficiency in the metallurgical industry in EU countries with an emphasis on the situation in the Czech Republic. The efficiency of individual countries was estimated for the period from 1995 to 2015. The parametric stochastic frontier analysis method with different settings was chosen to estimate efficiency and the results were verified using a competitive non-parametric data envelopment analysis method. It was found that during the period under review, there was an average increase in efficiency in the metallurgical industry. The largest increase in efficiency (confirmed by all types of models) was observed in the Czech Republic. A visible positive efficiency shift was also recorded in Spain and Greece. Surprisingly, there has been a decline in efficiency in Sweden and Italy.

Bachelor's Degree Productivity X-Inefficiency: The Role of State Higher Education Policy

2009 ◽  
Vol 11 (1) ◽  
pp. 7-32 ◽  
Author(s):  
Marvin A. Titus
Keyword(s):  
Higher Education ◽  
Education Policy ◽  
Higher Education Policy ◽  
Fixed Effects ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Bachelor's Degree ◽  
Frontier Analysis ◽  
Degree Production ◽  
State Higher Education

Using stochastic frontier analysis and dynamic fixed-effects panel modeling, this study examines how changes in the x-inefficiency of bachelor's degree production are influenced by changes in state higher education policy. The findings from this research show that increases in need-based state financial aid help to mitigate the convergence among states in x-inefficiency with regard to bachelor's degree production.

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