Capacity and Technical Efficiency Estimation in Fisheries: Parametric and Non-Parametric Techniques

2007 ◽  
pp. 273-294 ◽  
Author(s):  
Sean Pascoe ◽  
Diana Tingley
Keyword(s):  
Technical Efficiency ◽  
Efficiency Estimation ◽  
Non Parametric

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.

TECHNICAL AND SCALE EFFICIENCY OF FOOD PRODUCERS IN POLAND IN 2006-2016. DOES THE SIZE AND LEGAL STATUS OF ENTERPRISES MATTER ?

2018 ◽  
Vol XX (3) ◽  
pp. 90-95
Author(s):  
Sylwester Kozak
Keyword(s):  
Technical Efficiency ◽  
Legal Status ◽  
Scale Efficiency ◽  
Financial Reports ◽  
Macroeconomic Conditions ◽  
Economy Of Scale ◽  
Dea Method ◽  
Non Parametric

The article empirically examines how the size and legal status of an enterprise influence the technical and scale efficiency of Polish food producers. Technical and scale efficiency indices are measured using the non-parametric DEA method. The study is based on the annual financial reports of 52 sugar and confectionery producers operating in 2006-2016. The analysis covers all enterprises in the sector, as well as groups of larger and smaller enterprises (distinguished by the median of assets), as well as groups of capital companies and cooperatives. Research has shown that enterprises were characterized by relatively high technical efficiency and scale efficiency in the range, respectively, between 82 and 93% and between 93 and 98%. All enterprises operated more efficiently in more favorable macroeconomic conditions. The level of enterprises’ technical and scale efficiency depends on the value of their assets and the legal status. Larger enterprises were less technically effective than smaller ones, but they made greater use of the effect of scale. Capital companies were more effective than cooperatives, but to a lesser extent used economy of scale.

scholarly journals SLACK AND NET TECHNICAL EFFICIENCY MEASUREMENT: A BOOTSTRAP APPROACH

2005 ◽  
Vol 04 (03) ◽  
pp. 395-410 ◽  
Author(s):  
J. RICHMOND
Keyword(s):  
Confidence Intervals ◽  
Technical Efficiency ◽  
Small Component ◽  
Empirical Application ◽  
Use Of Resources ◽  
Bootstrap Techniques ◽  
Bootstrap Approach ◽  
Efficiency Estimation ◽  
Downward Bias ◽  
Cautious Interpretation

Statistical properties of DEA methods for efficiency estimation are poorly understood and currently the best way forward must be to use bootstrap techniques. The article seeks to extend bootstrap methods to allow investigation of the properties of estimates of inefficiencies due to the slack in the use of resources as well as technical efficiency. In an empirical application, it is found that inefficiency due to slack is a small component of the overall inefficiency and that the DEA technical efficiency estimates have a small downward bias, with confidence intervals that are wide enough to suggest cautious interpretation.

scholarly journals Pengukuran Efisiensi Perbankan: Studi Kasus Kelompok Bank Buku I Dan Buku II

2018 ◽  
Vol 11 (2) ◽  
pp. 188-201
Author(s):  
Teguh Santoso
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Parametric Method ◽  
Data Envelopment ◽  
Operational Approach ◽  
Efficiency Calculation ◽  
Non Parametric

This study aims to measure the technical efficiency of banks (BUKU I and BUKU II categories). The efficiency calculation in this study uses Non-Parametric method, Data Envelopment Analysis (DEA). This research uses an operational approach in performing input and ouput specifications. The inputs are interest expenses, labor expenses, and other expenses. The result of technical efficiency calculation shows that both banks in BUKU I and BUKU II have less efficient in technical efficiency value, either with the assumption of CRS or VRS. However, the value of technical efficiency indicates that BUKU II banks have greater technical efficiency value than the banks in BUKU I category.

scholarly journals A Novel Hybrid Parametric and Non-Parametric Optimisation Model for Average Technical Efficiency Assessment in Public Hospitals during and Post-COVID-19 Pandemic

2021 ◽  
Vol 9 (1) ◽  
pp. 7
Author(s):  
Mirpouya Mirmozaffari ◽  
Reza Yazdani ◽  
Elham Shadkam ◽  
Seyed Mohammad Khalili ◽  
Leyla Sadat Tavassoli ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Financial Stability ◽  
Stochastic Frontier Analysis ◽  
Parametric Method ◽  
Stochastic Frontier ◽  
Integrated Approach ◽  
Public Hospitals ◽  
Statistical Testing ◽  
Frontier Analysis ◽  
Non Parametric

The COVID-19 pandemic has had a significant impact on hospitals and healthcare systems around the world. The cost of business disruption combined with lingering COVID-19 costs has placed many public hospitals on a course to insolvency. To quickly return to financial stability, hospitals should implement efficiency measure. An average technical efficiency (ATE) model made up of data envelopment analysis (DEA) and stochastic frontier analysis (SFA) for assessing efficiency in public hospitals during and after the COVID-19 pandemic is offered. The DEA method is a non-parametric method that requires no information other than the input and output quantities. SFA is a parametric method that considers stochastic noise in data and allows statistical testing of hypotheses about production structure and degree of inefficiency. The rationale for using these two competing approaches is to balance each method’s strengths, weaknesses and introduce a novel integrated approach. To show the applicability and efficacy of the proposed hybrid VRS-CRS-SFA (VCS) model, a case study is presented.

Theory matters! Efficiency measurement and water utilities

2005 ◽  
Vol 5 (6) ◽  
pp. 251-261
Author(s):  
J. Sauer
Keyword(s):  
Statistical Inference ◽  
Technical Efficiency ◽  
Efficiency Measurement ◽  
Water Utilities ◽  
The Internet ◽  
Efficiency Frontier ◽  
Water Sector ◽  
Efficiency Measures ◽  
Efficiency Estimation ◽  
Regulatory Measures

As is the case of other infrastructure sectors the availability of efficiency estimation software based on statistical inference – freely distributed via the internet and relatively easy to use – recently inflated the number of corresponding applications in the water sector. The robustness of regulatory measures based on inferences from efficiency measures nevertheless crucially depends on theoretically well-founded estimates. This is illustrated by using an empirical example of an inconsistent technical efficiency frontier for water utilities in Germany.

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