scholarly journals Productive efficiency analysis of quantitative economics journals through Stochastic Frontier Analysis using panel data

2020 ◽  
Vol 30 ◽  
pp. 297-311
Author(s):  
José Manuel Gavilan Ruiz ◽  
Francisco Javier Ortega Irizo
Keyword(s):  
Production Process ◽  
Stochastic Frontier Analysis ◽  
Scientific Journal ◽  
Stochastic Frontier ◽  
Productive Efficiency ◽  
Mathematical Methods ◽  
Frontier Analysis ◽  
Economics Journals ◽  
Using Data ◽  
Number Of Citations

The main goal of a scientific journal is to diffuse new knowledge. The number of citations received by a journal can be considered as a measure of this objective and, in turn, as a measure of productivity in relation to the production process in which the journals are involved. In order to assess this production process, in this paper econometric models using data panel are employed to obtain measures of efficiency for those journals belonging simultaneously to the areas of “economics” and “social science, mathematical methods” in the Web of Science database. This efficiency is measured in terms of the distance between the actual production of the journals and their estimated maximum achievable number of citations based on their available resources.

Market Pricing of Bank M&As and Efficiency in Europe

2021 ◽  
pp. 91-110
Author(s):  
Sailesh Tanna ◽  
Hodian Urio ◽  
Ibrahim Yousef
Keyword(s):  
Stochastic Frontier Analysis ◽  
Shareholder Value ◽  
Stochastic Frontier ◽  
Abnormal Returns ◽  
Positive Influence ◽  
Bank Efficiency ◽  
Market Pricing ◽  
Frontier Analysis ◽  
Using Data ◽  
Merger Announcements

This study investigates the impact of bank mergers and acquisitions (M&As) on bank efficiency and how such efficiencies are expected to influence bank shareholder value upon merger announcements. It employs stochastic frontier analysis and event study methods along with regression analysis to account for the influences of pre-merger and post-merger efficiencies of bidders and targets in assessing their impact on bidder abnormal returns. Using data for a sample of large commercial bank M&As from 22 European countries, the authors find that bank bidders achieve short-term shareholder value gains from merger announcements, and this could be associated with the perceived efficiencies of bidders and targets. More generally, the evidence supports the view that bank profit efficiency has a positive influence on bidder returns from merger announcements, and therefore markets do take into account the importance of efficiency in value creation. This suggests that stock markets price operational efficiency of banks in predicting value gains from European Bank M&As.

scholarly journals Resources, innovation and performance in labor courts in Brazil

2018 ◽  
Vol 52 (3) ◽  
pp. 486-506
Author(s):  
Marcos de Moraes Sousa ◽  
Tomas Aquino Guimaraes
Keyword(s):  
Stochastic Frontier Analysis ◽  
Negative Impact ◽  
Stochastic Frontier ◽  
Critical Periods ◽  
Key Factors ◽  
Judicial Process ◽  
Frontier Analysis ◽  
Adoption Of Innovations ◽  
And Performance ◽  
Using Data

Abstract This article examines the relationships between resources, innovation, and performance in courts. Data from 24 Brazilian labor courts covering the period between 2003 and 2013 were used to develop theoretical/empirical models using Data Envelopment Analysis and stochastic frontier analysis. The results indicate that there was improvement in the performance of the courts during the period examined. This improvement owed more to the adoption of innovations than to variation in technical efficiency. Critical periods for the adoption of the electronic judicial process (in 2006 and 2012) had a negative impact on the index related to innovation adoption. The stochastic model shows that court size and investment in the training of personnel are key factors for explaining the variation in the efficiency of the courts.

Measuring efficiency of Vietnamese banks

2017 ◽  
Vol 29 (2) ◽  
pp. 171-182 ◽  
Author(s):  
Thanh Ngo ◽  
David Tripe
Keyword(s):  
Cost Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Control Variable ◽  
Banking System ◽  
Alternative Methods ◽  
Content Type ◽  
Frontier Analysis ◽  
Using Data ◽  
The Cost

Purpose This paper aims to examine alternative methods for treating nonperforming loans (NPLs) in bank cost-efficiency studies using stochastic frontier analysis (SFA). Design/methodology/approach The authors consider three methods of treating NPLs in SFA: as an additional control variable, as an environmental factor or as a deduction from total loans. Using data from the Vietnamese banking system (2003-2010), the authors then compare these results with those of the base model (where total loans is used regardless of the NPLs) to see which one is more appropriate for this study. Findings The authors observed that the first two methods are inappropriate for the analysis: one cannot find the significant relationship between NPLs and the banks’ total cost, and the other cannot account for any inefficiency at all. The authors suggested that the third method of separating NPLs from total loans can provide better insights. Using the proposed method, the authors showed that the cost-efficiency of Vietnamese banks over the period examined was moderate with a slight decreasing trend. When NPLs are separated, the cost-efficiency decreases in state-owned banks and big banks, whereas it increases in small and private banks. Research limitations/implications Research is limited to Vietnamese banks during a certain period, and it would be useful to apply the same technique to other data sets. Practical implications The paper suggests a new approach to account for NPLs in cost SFA studies in banking. Originality/value The paper provides a much more searching analysis of NPLs in banking than has generally been seen in previous research.

Technical Efficiency Through Innovative Methods and Estimations in Financial Markets

2021 ◽  
pp. 55-70
Author(s):  
Aikaterini Kokkinou
Keyword(s):  
Financial Markets ◽  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Productive Efficiency ◽  
Data Envelopment ◽  
Frontier Analysis ◽  
Parametric Data ◽  
Efficiency Estimation ◽  
Non Parametric

This paper investigates technical efficiency estimation in financial markets, using both parametric and non-parametric techniques: parametric Stochastic Frontier Analysis (SFA) approach or non-parametric Data Envelopment Analysis (DEA). This chapter focuses on reviewing the stochastic frontier analysis literature regarding estimating inefficiency in financial markets level, as well as explaining producer heterogeneity along with the relationships with productive efficiency level. This chapter investigates technical efficiency estimation in financial markets, using both parametric and non-parametric techniques: parametric Stochastic Frontier Analysis (SFA) approach or non-parametric Data Envelopment Analysis (DEA). More specifically, this chapter focuses on reviewing the stochastic frontier analysis literature regarding estimating inefficiency, its industrial level, as well as explaining producer heterogeneity along with the relationships with productive efficiency level.

STOCHASTIC FRONTIER ANALYSIS OF SINGAPORE MANUFACTURING INDUSTRIES

2004 ◽  
Vol 49 (01) ◽  
pp. 85-103 ◽  
Author(s):  
SOO-WEI KOH ◽  
SHAHIDUR RAHMAN ◽  
G. K. RANDOLPH TAN
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Learning By Doing ◽  
Alternative Measure ◽  
Efficiency Change ◽  
Frontier Analysis ◽  
Manufacturing Productivity ◽  
Using Data ◽  
Allocative Inefficiency

Previous papers on Singapore manufacturing productivity have focused almost exclusively on total factor productivity (TFP) growth rates and ignored the problem of measuring the extent of learning-by-doing. In this paper, we examine an alternative measure: the rate of technical efficiency change. Using data from 1974–1998, a translog production frontier is estimated. Following a conceptual framework popularised by Bauer (1990), productivity growth is decomposed into components arising from technical progress, technical efficiency change, a scale economies effect and an allocative inefficiency effect.

scholarly journals Efficiency Estimates and Rankings Employing Data Envelopment and Stochastic Frontier Analyses: Evaluating the Management of U.S. Public Colleges

2012 ◽  
Vol 4 (8) ◽  
pp. 444-452 ◽  
Author(s):  
G. Thomas Sav
Keyword(s):  
Public Management ◽  
Stochastic Frontier Analysis ◽  
Public Funding ◽  
Stochastic Frontier ◽  
Returns To Scale ◽  
The United States ◽  
Data Envelopment ◽  
Frontier Analysis ◽  
Truncated Normal ◽  
Using Data

This paper estimates and compares operating efficiencies of publicly owned associate degree granting colleges in the United States using data envelopment analysis (DEA) and stochastic frontier analysis (SFA). Comparisons are based on panel data for 698 colleges over four academic years, 2005-09. Included are both constant and variable returns to scale DEA estimates along with half and truncated normal inefficiency SFA estimates. The values 0.56 vs. 0.45 represent the largest mean DEA-SFA efficiency differential. DEA results indicate that 13% of colleges are fully (100%) efficient while SFA puts that percentage at only 1.7%. Comparisons of rankings based on efficiency performance generated a weak 0.65 correlation. Encouragingly, despite the financial turmoil initiated by the global crisis, the findings indicate that colleges have managed large efficiency gains over the four-year period. By 2008-09, DEA estimated efficiency increased to approximately 60%. Given continuing reductions in higher education public funding and increasing interest in public management reforms, the results should be of both managerial and public policy interest.

scholarly journals Comparison of Technical Efficiency of Hospitals Affiliated to Shahid Sadoughi University of Medical Sciences before and after Executing Health Reform Plan

2020 ◽  
Author(s):  
Mohammad Zarezadeh ◽  
Payman Mahboobi Ardakan
Keyword(s):  
Technical Efficiency ◽  
Health Reform ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
P Value ◽  
Medical Sciences ◽  
Frontier Analysis ◽  
Reform Plan ◽  
Before And After ◽  
Using Data

Background: Hospitals are one of the greatest and most costly operational units of the health system and a study on its performance may be a criterion for operation and efficiency assessment of its resource consumption. The present study was done in 2017 with the purpose of assessing technical efficiency of the selected hospital under the coverage of Yazd University of Medical Sciences using Data Envelopment Analysis (DEA) in context of Health Reform Plan. Methods: This research is a descriptive-analytical study was done in 2017. In this research in order to determine assessing the efficiency of Yazd University of Medical Sciences hospitals, 10 hospitals affiliated with this university were chosen. To collect data the information collection form including specifications of hospital as well as input and output index is used and the data before and after executing Health Reform Plan were collected and compared. The input-oriented DEA method is used for estimating technical efficiency of hospitals and data analysis is done by DEAP software and two-sample paired-t test SPSS21. Results: The average of hospitals that have been studied before and after the reform plan is 0.985 and 0.990 respectively. In management efficiency, it is respectively 0.986 and 0.992 before and after the reform plan and the efficiency average of the hospital's scale before and after executing the health reform plan is respectively 0.999 and 0.997. There is no meaningful relationship observed between hospitals' efficiency grades before and after the reform plan in these three technical, management and scale types of efficiency (P-value > 0.05). Conclusion: According to results we could say the efficiency of the hospitals was not so affected by reform plan. It is recommended to assess the efficiency of the Stochastic Frontier Analysis (SFA) method on a linear basis in addition to identifying indexes that are effective in efficiency of hospitals.

National versus Local Production

2017 ◽  
Vol 46 (6) ◽  
pp. 926-948
Author(s):  
William P. McAndrew
Keyword(s):  
Fiscal Federalism ◽  
Economies Of Scale ◽  
Stochastic Frontier Analysis ◽  
Local Level ◽  
National Level ◽  
Stochastic Frontier ◽  
Unique Contribution ◽  
Frontier Analysis ◽  
National Institute Of Justice ◽  
Using Data

Public finance and public choice economists have contrasting views on the determinants of public sector size. This article makes a unique contribution to this literature by exploring an integer count of output, rather than the commonly used dollar approximation of output, using data that are homogeneous across the levels of government, where a unit of observation is not a governing body, but rather a service provider. Specifically, this article explores the counteracting effects of fiscal federalism and economies of scale using data from the National Institute of Justice with an application of data envelopment analysis and stochastic frontier analysis. I determine that provision of forensic science services at the national level rather than local level does not lead to higher relative cost, and national production may be relatively more efficient. In general, however, neither locally nor nationally operated laboratories are operating at an efficient scale, a potential argument for privatization, insourcing, or outsourcing.

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