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# Efficiency Analysis - Science topic

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Questions related to Efficiency Analysis

Hello to everyone!

I am doing a research on bank branches efficiency, and I want firstly to count Malmquist efficiency index (I have data for 3-year period), and then run a double bootstrapped truncated regression, with Malmquist Index as dependent variables and one exogenous variable.na

Maybe someone can advice me, how can I run such a regression on Malmquist index in R?

Thank you very much in advance!

Best regards,

An

Hello Everyone,

I want help to evaluation

**efficiency of DC-DC power converter**with Matlab/Simulink. Is there any block for the calculation? Please share any ideas regarding this.Thanks

I know that R Software specifically Benchmarking package can be used to assess the MEA scores but I don't know how to capture the non-discretionary inputs when running a non-oriented analysis.

I know that using non-discretionary input could be an issue in the original, input-oriented DEA models where input can be expanded and/or contracted. The concern, I think, was that we don't want to produce efficiency scores suggesting efficiency could be improved by reducing uncontrollable (non-discretionary) inputs. However, I wonder if the inclusion of non-discretionary input is as consequential for

**output-oriented VRS DEA models**? Most of the literature is based on input-oriented DEAs. Any comments will be appreciated, Thanks.I want to conduct a study to check the impact or shock of predicted estimates of technical efficiency of the farmers for agricultural production on the ecological footprint and Emissions of Green House Gases for a time series panel data.

I want to purify my insoluble organic compound from sodium chloride through washing.

I have done my first trial with distilled water having tds approx 44 p.p.m and the second with fresh ground water having tds approx 500 p.p.m.

The results differs in both trials.

So how t.d.s and hard minerals affects the solubility of sodium chloride in water?

how can i calculate the ratio of solubility based on water quality (t.d.s).

Suggestions are highly appreciated.

Dear Colleague,

Part of my Ph.D. thesis needs to be completed questionnaire, which, unfortunately, due to Covid 19, we cannot attend the company under review. For this reason, I request supply chain experts who wish to complete the questionnaire to notify me, that I will email the questionnaire to them. It would be your generosity to respond to the questionnaires and also distribute them among your colleagues, students, and networks.

Thank you in advance for your help and cooperation.

I want to compare the efficiencies of different machine learning techniques for Structural reliability and surrogate modelling. Although my problem is specific, I think there should be well-known criteria for that. Unfortunately, I have not found any in the literature!

One simple idea is to multiply accuracy by the number of calls or time, but it is really not a very proper criterion most of the time.

How can we define good criteria? is it a good idea to go with a weighted multiplication based on a specific objective? or is there any well-known method for making this comparison?

I appreciate your help with this challenge!

I have to isolate and then properly purify some of azo pigment compounds.

i have done TLC and column chromatography of these pigments but ending up with the seperation of thier isomers only.

i believe that my pigment compounds still have some side products and impurities that i am unable to separate out.

suggestions required for highly efficient isolation and purification of the following pigment compounds attached.

Dear Colleagues,

May I know how to calculate the Energy Efficiency analysis of AODV routing protocol in MANET, with the formula? If available any good reference will be fine.

Thank you in advance.

Dear all.

I would like to ask you some sort of guideline, developed from your own experience or from references, about condition where it is better to use the "traditional" DEA and when is more appropriate to consider for the Slack Based alternative, (Tone, 2001 and Tone, 2002). I mentioned conditions having in mind for istance sample sizes, area of investigation (healthcare, transportation ecc.) or other instrument combined with the DEA analysis (regressions, bootstrap, bayesian methods...).

I thank you in advance.

Stefano

I am interested in obtaining the efficiency scores of the public education system across the country's municipalities. I have 60 municipalities with various inputs and outputs over a period of 5 years. I am able to obtain the efficiency scores of them on a yearly basis - 300, but I am interested in obtaining the overall efficiency score of each municipality over the years, what is the simplest method to complete this task (Preferably in r software)? Thank you!

The algorithmic management of today comes in the form of AI-based solutions but it still is an algorithm with a binary system intact. What do you think of its usage and its novelty? How can we use AI-based evaluation to measure the efficiency of someone's work?

I am trying to assess or predict the use of one specific technology that might have several impacts on an operational activity - drilling in the oil industry. This technology is supposed to improve the efficiency of drilling in various aspects among which the economic aspects are of high importance to me.

I am seeking a quantitative method that can help me measure and predict the economic outcomes of this change. So I would be thankful if anyone could suggest using any method for this need.

I am planning to conduct a meta-analysis on the efficiency of MFIs from existing literature, restricted to DEA/ SFA based studies. However, most DEA/ SFA based meta-analyses (Thiam and Bravo-Ureta (2005); Odeck and Bråthen (2012); Kiadaliri et. al (2013) Fall et. al (2018)) use the mean technical efficiency (MTE) as a measure of effect size usually without compensating for sampling bias (they included sample size as a moderating variable instead). Is there any other way to compute a different measure of effect size for DEA/ SFA based studies that compensates for bias like the Hedge's g or Fisher's z?

I am doing frontier analysis of banks and I calculated the robust efficiency scores for each of the bank. Now I want to run a bootstrap truncated regression with efficiency scores as dependent variable to examine their relationship with characteristics of banks. How can I run the method proposed by simar and wilson (20007) in R. Please help in this regards.

Suppose, in case of input-oriented approach, for one firm has the CRS efficiency is 0.8682 and the VRS efficiency score is 0.96652. What we can say by both of these two results?

Scale efficiency = 0.8982. What we can understand from this?

Hello, Everybody!

I wil be grateful for any help. I have a problem with frontier function. I want to make a model of life expectancy in 11 countries depending on some factors (consumption of alcohol, school years, gross national income per capita and etc.) using frontier method for panel data (from 2000 to 2013 year) to calculate efficiency of national care system at the end. I've made a model and then used the command

predict te, te

for each country but the meanings are very small and almost the same. Due to the fact I took into consideration different countries (from Australia to Nigeria) it is impossible that efficiency of national care system are equal. Besides, I've calculated u and tried to calculate e^(-u), but what is the difference between u and te? I've spent a lot of time to sort out this, but overall I don't understand clearly:(

Thanks!

Is there any specific book/research paper where i can find a validated model of relation between Inverter temperature, Ambient Temerature and Inverter Efficiency? Reduction in Inverter's efficiency at any given temerature compared to STC condition due to internal heat generated in Inverter plus the Convective heat from ambient temperature.

I know that...

As the inverter works to convert DC power to AC power, it generates heat. This heat is added to the ambient temperature of the inverter enclosure, and the inverter dissipates the heat through fans and / or heat sinks. The heat needs to stay below a certain level at which the materials in the inverter will start to degrade. Insulation will become brittle, solder can expand and crack and metal components in capacitors can fatigue.

In order to keep the heat low, the inverter will stop generating power or reduce the amount of power it generates by “derating” as it passes programmed temperature milestones. Most inverters will derate at around 45 – 50 Degrees C.

But is there any specific relation formula or validated model or something?

I would like to get information and articles about measurements of efficiency in zakat institutions.

Dear collegues, researchers and practicioners on DEA.

In the 16th International Conference on Data Envelopment Analysis we presented

**deaR**, a new R package for DEA. Now, it is a pleasure for me to announce that deaR is available to be installed and used.**deaR**has been designed and built so that non-R users can easily use it. This package allows to run a wide variety of models based on DEA:

- Conventional DEA models: CCR, BCC, directional distance function multiplier, additive, non radial, sbm, radial super efficiency, additive super efficiency, sbm super efficiency, cross efficiency, bootstrapping, etc.
- Malmquist index
- Fuzzy DEA models: Kao and Liu´s model, some possibilistic DEA models, fuzzy cross efficiency.

You can get a brief introduction tutorial to install and use deaR (in English, Spanish, and Chinese) by clicking on the following link:

**deaR**is not only oriented to research but also teaching. For that reason,

**deaR**provides some datasets that come from articles already published. These datasets are used in the

**deaR**function examples to replicate the results of the articles.

We would really appreciate if you could spread the information about

**deaR**among your colleagues and students.We will release a

**deaR**shiny version (an interactive web app) son. We will inform you when it is available.Any comments and suggestions to improve

**deaR**will be really appreciated. We also accept suggestions of DEA models to be considered for being programmed in new versions of**deaR**.Best regards.

Dear all,

I used those two types of regression to estimate effects of environment factors on hospital efficiency.

However, they gave me opposite results. For instance, in FR percentage of people above 65 was negatively associated with DEA score, whereas in DBTR it was positively associated. The same results was for turnover rate.

I appreciate if you could explain me such contradictory.

I am performing a Stochastic Frontier Analysis on unbalanced panel data in R with the package frontier (based on Battese & Coelli 95). I wonder how can we check for autocorrelation / endogeneity. The residuals() function returns the residuals, which consist of both the noise term and the inefficiency term, i.e. residual = y - f(x) = v - u. I am not sure if one can use these residuals to test for heteroscedasticity (Breush-Pagan test) or autocorrelation (LM test). Have you seen this in the literature?

I have simulated the 0.37KW capacitor start induction motor in ansys maxwell RM Xprt. Its efficiency is 45% (percent), results attached. These are no load results. I have few questions

How to perform the on- load analysis of motor using RM Xprt or 2D analysis?

How to optimize the winding design, wire size and no of turns etc.?

How to select the starting capacitor for this motor?

How to select the rotor shape, its dimensions and torque optimization?

How to increase the overall efficiency to fulfil the IE1 and IE2 standard?

Simulation results shows that stator losses are 129watt, thats hufe losses in 373 watt motor, How can I reduce it ?

How to select the switching time of auxilery winding ?

Any paper, books, tutorials or presentation or videos that can help me in this regards. Please share

Your kind support and recommendation will be highly appreciated.

Thank you

Help with Stochastic Frontier Analysis in Stata, bc95 model

If you could please help me with this.

I am working on 'the determinants of health systems in Sub-Saharan Africa' and testing whether some socio-economic and environmental factors effect the efficiency of the system for my project. It is from the period of 2001-2015 and include some other countries as benchmark counties. Where Health adjusted life expectancy is my output -- my inputs are :Health expenditure, GDP per capita, ,Unemployment, Immunization of measles, diphtheria and pertussis, Access to sanitation facilities, Population density -- and my exogenous variables are: Public share of health expenditure, Out-of-pocket expenditure, Urbanization, Gini coefficient, Corruption, Government effectiveness, Rule of law.

I am using the Battese & Coelli(1995) model, where I can simultaneously parameterize the inputs and exogenous determinants of efficiency. I have gone through the Stata journal by Belotti et al. (2013) as well. I took the log of some of the inputs that were not already in % form. Every time I try and run the model I keep running into errors.

I have been developing the processing maps after hot deformation of a Mg-Rare Earth Alloy. The strain rate sensitivity, m, is becoming negative in some regions. Here, probably due to this, the

**power dissipation efficiency eta is also becoming negative.**What is the physical interpretation of this? Efficiency is a parameter that is generally defined between 0 and 1. So is its negative value wrong? What could be the reasons?

scale efficiency expresses whether a firm is operating at it's "optimal size." If it is not, then using further comparisons of DEA outputs (using increasing or decreasing returns to scale) it is possible to see whether the firm is too large or too small. However, I'm confused if it's possible to conclude that a firm operating at constant return scale for long period is operating at it's optimal size? In addition, which of the return scales (INCREASING, DECREASING, CONSTANT) is a best operating condition for a firm?

I would like to know the basic difference(s) between productivity and efficiency in spite of their being used interchangeably in many published articles

Looking for those that are free to access. Thank you! :)

For cost efficiency analysis, i ran a DEA model and a time varying panel SFA model , but i found that DEA scores are greater than SFA, and the DEAs' are decreasing during the period while The SFAs' are increasing

All the papers i read about DEA and SFA comparisons have found that SFAs' should be greater than DEAs' ,

So is there any explanation for this? could it be because of the cross-sectional nature of the DEA?

Can we check the efficiency of the Eigenvector

Please provide some valuable information on how to measure current density from IPCE data or graph for solar cell.

I'm using more than 300 dmu and 12 a year period for my research. I tried to do this with stata and DEAP 2.1 as well but it takes a long time, however, at the final stage I did not get the result fully (not showing the full result for stata, I used only 100 dmu for 1 year). Can anyone tell me how to handle large sample for DEA?

DEA software for bootstrapping

In the eighties, as part of my standard marketing training, I learned a technique designated Frontier of Efficiency Analysis as applied to product pricing.

I looked for references to this to be sure that I correctly recalled the definitions and terms before investigating its application in an alternative process.

All the references I find lead to work derivative from Markowitz who used a similar term on the evaluation of portfolios. This is not what I need.

Can anyone help / recall work in its application to product pricing?

Hi,

I am interested in doing FISH on leukocytes in a single cell suspension so that they can be analyzed via FACS. If effective, this would allow for more efficient analysis and of many more cells than traditional FISH-fluorescent microscopy (a method I have previously used with success).

Protocol:

1) Cells fixed with Carnoy's in a drop-wise manner. Spin, decant supe.

2) Permeabilize cells with 0.1% Igepal in 2X SSC. Spin, decant supe.

3) Resuspend cells in hybridization buffer (70% formamide 2x SSC).

a) Co-denaturation: Expose cells and probe to 75C for 5' together. 37C o/n

b) Separate denaturation: Cells 72C for 5' and Probe 90C for 10'. 37C o/n

c) Separate denaturation: Cells 37C for 5' and Probe 90C for 10'. 37C o/n

4) Wash with 0.1% Igepal in 2X SSC. Spin, decant supe.

5) Preheat 0.3% Igepal in 0.4X SSC to 72C. Add buffer to cells expose to 72C for 2'. Add equal volume ice cold PBS. Spin, decant supe.

6) Resuspend in PBS.

At this point I'm not attempting FACS, I am cytospinning on to slides until I optimize the hybridization conditions. I have given it a couple passes and I am routinely running into the same issues:

1) Enlarged nuclei, (the nuclei appear to be large and have a more diffuse DAPI signal). The nuclei seem to denature/enlarge once exposed to 70% formamide 2x SSC independent of heat. Possible problems: inadequate fixation, absence of graded alcohol dehydration steps like in traditional fix.

2) Ineffective hybridization. Since the conditions used have successfully worked for traditional FISH it would seem they should work. Also probably a inadequate fixation or denaturation issue.

3) Cell clumping. Cellular denaturation is resulting in the 'netting' of cells by DNA strands after exposure to 70% formamide 2x SSC.

I have some ideas of what to try next, but if anyone has had previous experience with Flow-FISH and could provide insight that would be great.

Thanks!

In incorporating risks into efficiency analysis in agriculture, what approaches are employed in quantifying and estimating the related frontiers?

I need the sintaxis required for that macro, in order to proceed.

In Differential Scanning Calorimetry Testing (DSC) can we use liquid sample like some oil or waxes? Thermal efficiency analysis

I am using different university departments in an efficiency analysis using DEA. syllabuses and evaluation procedure are different in different units. do I need to standardize the tests scores separately for each department.

How do we calculate the efficiency of a HPGe in percentage.

How can I evaluate efficiency of a H-bridge driven DC machine under different control methods? I can measure input voltage and current of H-bridge and output speed and torque produced on the shaft of DC machine (I have torque transducer). I have samples of all variables every 50us.

I want to evaluate actual efficiency during chosen interval. When evaluating efifciency as (output power / input power), zero samples are causing a problem. Should I use moving average filter for all variables in order to avoid zero samples?

HI I am working on monopole antenna. But I experience one thing that when I increase the ground size to 3*lmbda or more i get total efficiency of the antenna greater than 100% which is not possible. When I decrease the ground plane size the efficiency is less than 100%. Can you please suggest me why this is giving efficiency greater than 100%?

when using malmquist.components routine in the FEAR package (R program).

high conversion efficiency in my idea is sth more than 14%

Hello all,

I am working on estimating the technical, cost and total efficiency of some ten school districts using Data Envelopment Analysis in Stata. I have two input variables - teacher salary and number of teachers; and one out variable Math Score of students. I am using the output-oriented variable returns to scale (vrs) option. This gives me the theta values and crs, vrs, nirs and scale efficiencies. Can I consider the theta values as the total efficiency score? And how do I get the cost efficiency values?

Any suggestion as to how to code or point me to a help source would be very much appreciated. Thank you in advance!

Charles

I did efficiency analysis using Data Envelopment Analysis (DEA) and I am using these efficiency scores as a dependent variable. My independent variables are farmers' socioeconomics (age, education, farming experience, family member is farming, area under cotton) and institutional variables (access to extension, credit and market).

I have applied truncated regression, censored regression and Tobit model. But each of these models does not give many significant variables and most of the signs are negative too, except education. So, where am I doing wrong? Is the model selection not appropriate or there isn't necessarily a relationship among these variables? I found in literature, many researchers have found significant relationships using these models.

Any useful comments will be highly appreciated.

I am running the SBM model using the package "DJL" in R. Although it was fine, when I changed my model's input variable, almost all the DMUs turned to be zero efficient and a few got a efficiency index equals 1. Do you have any suggestions or conclusions about that?

I found it quiet weird because it semmed to be ok before.

Thank you.

Hi, I want to measure how the variable X affects the way Y is efficiently used to generate the outcome Z.

Y is an acknowledged enabler of Z, and I want to verify whether X is able to improve Y beneficial effect.

I would use DEA (output oriented, VRS) to assess the extent to which Y is used efficiently to generate Z (step 1), and then use the efficiency values of the DMUs as dependent variables in a regression with X as a independent variable (step 2).

Here is the question: Y is NOT the only input of Z, but i wouldn't add any other in order to avoid "rumor". I would add other independent variables that are likely to influence Z in step 2 regression.

Will this make the output of the DEA virtually useless or meaningless due to the small part of Z explained by Y?

Hope I've been clear, thanks for helping!

Hello all,

I have been trying to differentiate P19Cl6 cells into cardiomyocytes. However the efficiency is quite low. I know that serum plays quite important role for the process. Do you have any suggestions about that? So far, I tried almost every FBS version of Gibco and none of them worked better for me.

Thank you very much for your help in advance

By combining stochastic frontier and copula function it's possible to relax two main strict conditions of standard SFA. These regard the normal distribution and the independence of inefficiency and the pure randomness component.It is possibile to prove that if these two components are dependent and follow distributions other than normal, then the estimated efficiency scores are highly biased, thereby implying that past efficiency literature might be wrong.

If you are using (or if you have used) standard frontier approach (e.g., à la Battesi and Coelli 1992 and 1995) you can provide us your dataset and write a joint paper based on the re-specification of your model.

Data may refer to any sector.

Comments welcome

what is the appropriate formular for this effciency measure?

Can anyone researcher help me in calculating Drug Encapsulation Capacity and Efficiency.in nanoparticles?

Thanking in advance.

I the last decade or so, research focus has shifted from policy implementation and administration to that of measuring efficiency and effectiveness of public sector in respect to performance.

In this context, measuring efficiency and effectiveness in public sector organization is key in my research. My main research focus at this point in time is to design set of metrics to measure efficiency and effectiveness in the Nigerian public sector.

I wrote a GAMS code for a non-radial DEA model i.e. a multiplier Slack Based Model (SBM) with undesirable outputs, presented by WEI et al. (2012). Why do the model results in negative scores, despite the set Constrains 1(j) (see the GAMS code)?! Where did I go wrong? I attached the required files.

Thanks in advance.

Wei, C., Ni, J., & Du, L. (2012). Regional allocation of carbon dioxide abatement in China. China Economic Review, 23(3), 552-565.

I used sfcross command to estimate stochastic frontier of production function.

The example of STATA command :

sfcross lnYield lnLand lnChemfer lnLaborloc lnMachineryh if Typology==0

predict e,u

I wonder if the value of e represent the technical efficiency? I really doubt it.

I would like to know if there is any study assessing the efficiency of clinical research conducted in private research center vs universities or public/governmental research centers.

I am looking for comparison of: patient retention, cost, time from initiation of the study to completion of the study, time from initiation of the study to publication of the findings, time from initiation of the study to FDA approval.

This can apply to any type of research: medical or dental, social, engineering etc.

I new some variables to include in measuring teacher efficiency.

I am interested to investigate the relationships of sense of home and building efficiency in housing context. I think the effect of sense of home in improving individuals' behavioral and emotional pattern would eventually affect the building efficieny. I appreciate a lot if anyone can help me by introducing papers and research works in this area.

I am interested to estimate technical efficiency based on Battese and Coelli (1992) model. I have tried many times for the estimation both using the command prompt as well the use of instruction file in Frontier 4.1. But the dialog box immediately disappear once I end up the process by giving the command through running the FR0NT41 .EXE. Could anyone guide me where is the problem and how could i estimate it.

What are the parameters which influence vehicle performance in terms of fuel consumption [Gas Consumption] ?

For Eg : Air density , road terrain , atmospheric conditions influence vehicle performance in terms of fuel consumption [Gas Consumption]

I want to know are their any other major,minor factors that i have missed which influence fuel consumption.

I should solve a DEA CCR or BCC input oriented model. All data are considered as outputs and there is no inputs (objective function is maximizing the outputs). With LINPROG in matlab we need Aeq and Beq. Should we add a virtual input? or a unit vector as our only input?

what is the difference between measuring performance and measuring efficiency using Pabon Lasso model?

Can anyone advise on how to carry out sensitivity analysis in DEA using any freely available software like EMS or Max DEA or any other?

I would like to use a Data Envelopment analysis (DEA) model in which one input is a probability value and one output is an expected value (whose value depends on the probability value used as input). In such a situation, should be the case to use the chance-constrained DEA? I know that it can use when inputs and outputs are random variable with a known probability distribution. However, in my case, I have as a input a probability value.

Thank you very much

As the capture antibody is mouse antihuman, I suppose I will need to use antiseptics detection antibody such as rabbit anti mouse, goat anti mouse. I could infer this from answers I received previously on this site and also from some other sources.

I am writing now to request suggestion on some recommended detection antibody/ies appropriate for the above mentioned capture antibody. Thanks.

I have programmed 2D magnetotelluric forward modeling using both finite difference and finite element method . i want efficiency analysis of these pregame. What is the best way to do this ?

I prefer to use ratio or percentage, as this way takes care of the issue of unit measure or size of input/output.

Is inefficiency one of the inherent properties of complex systems or does inefficiency lie in the eyes of beholder?

I am thinking of encapsulating a hydrophobic antioxidant (lets call it A) using a spray dryer.

Since it is hydrophobic, i was thinking of dissolving A with a vegetable oil, maltodextrin as a wall material and gum arabic as surfactants in water. This emulsion is then spray dried.

However, I am not too sure how to determine encapsulation efficiency. Any advice?

*sadly i do not process a spray dryer capable of handling solvent.

How to improve solar cell efficiency?

I rarely read of it's use in papers - is it problematic/does it complicate the picture?

I'm going to run second stage for banking efficiency using Tobit Model. I need to find out the determinants for banking efficiency. Other than the Tobit Model, is there any other model I can use?.

I am trying to perform a congestion analysis, using R (benchmarking package). I would like to calculate the TE under these 2 different assumptions. After going through dozens of papers, I am still confused as to how the TE ratio can be calculated. Looking at the Benchmarking package, I don't see any specific function for this purpose. Appreciate if any DEA experts can provide some insight.