scholarly journals Evaluation of Efficiency and Its Determinants in Croatian Hotel Industry

2021 ◽  
Vol 9 ◽  
pp. 108-115
Author(s):  
Maja Pervan ◽  
Petra Babic
Keyword(s):  
Regression Analysis ◽  
Hotel Industry ◽  
Medium Size ◽  
Data Envelopment ◽  
Truncated Regression ◽  
Independent Variables ◽  
Second Stage ◽  
Using Data ◽  
Stage Analysis ◽  
First Time

The main objective of this research was to evaluate the efficiency of Croatian hotels and provide insights into the sources of their efficiency. In order to obtain set goals, a two-stage analysis was performed on a sample of 69 large and medium-size hotels that were operating in Croatia in 2019. In the first stage of analysis, the efficiency scores of hotels were obtained by using Data envelopment analysis (DEA), whereas in the second stage of analysis, achieved efficiency coefficients were served as dependent variable in a truncated regression model in which hotel’s ownership, age, location, size and star rating were applied as independent variables. As this is the first time that efficiency of Croatian hotel industry is investigated with the application of truncated regression analysis, this research contributes to the existing literature by shading new lights on the sources of hotels’ efficiency from the perspective of a country heavily relaying on seasonal seaside tourism. Results of the research showed that all analysed variables (except age) play significant and important role in determining the achieved level of efficiency.

scholarly journals Advertising efficiency in the Spanish beer industry: spending too much?

2018 ◽  
Vol 30 (4) ◽  
pp. 410-427 ◽  
Author(s):  
Ricardo Sellers-Rubio
Keyword(s):  
Environmental Variables ◽  
Data Envelopment ◽  
Truncated Regression ◽  
Content Type ◽  
Second Stage ◽  
Beer Industry ◽  
Multiple Input ◽  
Brand Portfolio ◽  
First Time ◽  
Advertising Efficiency

Purpose The purpose of this paper is to estimate advertising efficiency in the Spanish beer industry and to analyse the effects of several environmental variables and brand portfolio scope on advertising efficiency scores. Design/methodology/approach A two-stage double bootstrap procedure is used. In the first stage, advertising efficiency is estimated using a bootstrapped data envelopment analysis on a multiple input-output model of advertising. In the second stage, a bootstrapped truncated regression model is estimated to identify the determinants of advertising efficiency. Both stages are estimated simultaneously. The empirical application is carried out on a sample of Spanish brewers between 2007 and 2014. Findings Results show low advertising efficiency scores and highlight the effects that environment and brand portfolio scope have on these estimates. Originality/values For the first time, this paper analyses the effect of environmental variables and the brand portfolio scope on advertising efficiency in the beer industry.

scholarly journals ANALISIS EFISIENSI PENGGUNAAN DANA MASYARAKAT UNTUK KEGIATAN DHARMA PENDIDIKAN DI INSTITUT PERTANIAN BOGOR

2018 ◽  
Vol 20 (3) ◽  
pp. 352
Author(s):  
Mohammad Nur Hadi, Hermanto Siregar, Hendro Sasongko
Keyword(s):  
Data Envelopment Analysis ◽  
Academic Staff ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Academic Factors ◽  
Second Stage ◽  
Financial Factors ◽  
Measuring Efficiency ◽  
Using Data ◽  
Stage Analysis

This study focuses on measuring efficiency of all departements in Bogor Agricultural Institute using Data Envelopment Analysis (DEA) on the first stage and second stage is to determine the factors that influence the efficiency . DEA methodology is to evaluate the efficiency by comparing the all departement and using financial as an inputs and non-financial factors as an outputs. Second stage analysis using tobit regression because dependent factors are cencored between 0 to1 and independent factors uncencored. The results of first stage demonstrate that 54,29 % of departements in Bogor Agricultural University is efficiently operated in terms of academic factors during the period from 2012 to 2014, while 45,71 % is inefficient. And for the second stage the result are international accreditation and non academic staff are the factors can influence the efficiency of departements.

scholarly journals INSOLVENCY OF BRAZILIAN ELECTRICITY DISTRIBUTORS: A DEA BOOTSTRAP APPROACH

2018 ◽  
Vol 24 (2) ◽  
pp. 718-738 ◽  
Author(s):  
Rodrigo Simonassi SCALZER ◽  
Adriano RODRIGUES ◽  
Marcelo Álvaro da Silva MACEDO ◽  
Peter WANKE
Keyword(s):  
Geographical Location ◽  
Regulatory Body ◽  
Data Envelopment ◽  
State Control ◽  
Truncated Regression ◽  
Second Stage ◽  
Public Hearings ◽  
Bootstrap Approach ◽  
Stage Analysis ◽  
Domestic Inflation

This study investigates the financial and operational indicators that explain the insolvency of Brazilian electricity distributors, using a data envelopment analysis (DEA) bootstrap approach. The Wagner and Shimshak (2007) stepwise procedure was used to select the variables that had the greatest impact on average efficiency estimated by DEA in the construction of an inefficient frontier. Through a second stage analysis, the Simar and Wilson (2007) bootstrapped truncated regression analyzed contextual variables associated with inefficiency, and consequently with firm insolvency. The sample was composed of electricity distributors, whose financial information for the 2000–2015 period was available on the Brazilian Securities Exchange (CVM) website. The results indicated that the Actual Equivalent Frequency of Power Interruptions/Regulatory Equivalent Frequency of Power Interruptions and Overall Indebtedness were the most important indicators in explaining insolvency. The second-stage analysis showed that the inefficiencies calculated using the selected indicators are positively related to insolvency criteria used by the literature, state control, dollar and geographical location, and negatively related to the domestic inflation index. The results provide valuable information for the Brazilian electricity sector’s regulatory body, which recently began to hold public hearings prior to setting up procedures for monitoring financial sustainability using financial and operational indicators.

scholarly journals ANALISIS EFISIENSI PENGGUNAAN DANA MASYARAKAT UNTUK KEGIATAN DHARMA PENDIDIKAN DI INSTITUT PERTANIAN BOGOR

2017 ◽  
Vol 20 (1) ◽  
pp. 72
Author(s):  
Mohamad Nur Hadi ◽  
Hermanto Siregar ◽  
Hendro Sasongko
Keyword(s):  
Data Envelopment Analysis ◽  
Academic Staff ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Academic Factors ◽  
Second Stage ◽  
Financial Factors ◽  
Measuring Efficiency ◽  
Using Data ◽  
Stage Analysis

This study focuses on measuring efficiency of all departements in Bogor Agricultural Institute using Data Envelopment Analysis (DEA) on the first stage and second stage is to determine the factors that influence the efficiency. DEA methodology is to evaluate the efficiency by comparing the all departement and using financial as an inputs and non-financial factors as an outputs. Second stage analysis using tobit regression because dependent factors are cencored between 0 to 1 and independent factors uncencored. The results of first stage demonstrate that 54,29 % of departements in Bogor Agricultural University is efficiently operated in terms of academic factors during the period from 2012 to 2014, while 45,71 % is inefficient. DEA results also show that the Department of gain increasing and decreasing on the time between 2012-2014, the increasing Department is 29% from the total Department, while the decreasing is 20% and the rest always obtain a good level of efficiency. Second stage the result are international accreditation and non academic staff are the factors can influence the efficiency of departements.

Analyzing Africa's Total Factor Productivity Trends

2020 ◽  
pp. 128-146
Author(s):  
Chali Nondo ◽  
Juan R Jaramillo
Keyword(s):  
Data Envelopment ◽  
Truncated Regression ◽  
African Countries ◽  
Second Stage ◽  
Tfp Growth ◽  
Dependent Variables ◽  
Malmquist Indices ◽  
Productivity Indices ◽  
Using Data

Using data envelopment analysis (DEA), the authors investigate the productivity changes of 42 African countries by computing the Malmquist productivity indices. Subsequently, the measured Malmquist productivity indices become the dependent variables of a pooled truncated regression. The point estimates of the Malmquist indices indicate that TFP improved at an annual rate of 1.97% over the period 1992-2007. The decomposition of TFP shows that the major contribution of TFP growth is technological progress. Nevertheless, technical efficiency also appears to be trending upwards. Therefore, these results suggest that contrary to the dominant view in previous studies, Africa's TFP since the early 1990s has been accompanied by positive technological change rather than stagnation. The second stage results suggest that improving the quality of human capital and FDI not only augments the quality of labor, but also indirectly improves TFP. Regression results also show that an increase in openness positively affects TFP growth as this facilitates adoption of more efficient techniques of production.

Analyzing Africa's Total Factor Productivity Trends

2018 ◽  
Vol 7 (4) ◽  
pp. 45-61
Author(s):  
Chali Nondo ◽  
Juan R Jaramillo
Keyword(s):  
Data Envelopment ◽  
Truncated Regression ◽  
African Countries ◽  
Second Stage ◽  
Tfp Growth ◽  
Point Estimates ◽  
Malmquist Indices ◽  
Productivity Indices ◽  
Using Data

Using data envelopment analysis (DEA), the authors investigate the productivity changes of 42 African countries by computing the Malmquist productivity indices. Subsequently, the measured Malmquist productivity indices become the dependent variables of a pooled truncated regression. The point estimates of the Malmquist indices indicate that TFP improved at an annual rate of 1.97% over the period 1992-2007. The decomposition of TFP shows that the major contribution of TFP growth is technological progress. Nevertheless, technical efficiency also appears to be trending upwards. Therefore, these results suggest that contrary to the dominant view in previous studies, Africa's TFP since the early 1990s has been accompanied by positive technological change rather than stagnation. The second stage results suggest that improving the quality of human capital and FDI not only augments the quality of labor, but also indirectly improves TFP. Regression results also show that an increase in openness positively affects TFP growth as this facilitates adoption of more efficient techniques of production.

scholarly journals The efficiency of public expenditure on Higher Education: a study with Brazilian Federal Universities

2020 ◽  
Vol 28 (109) ◽  
pp. 1076-1097
Author(s):  
David Daniel Hammes Junior ◽  
Leonardo Flach ◽  
Luísa Karam de Mattos
Keyword(s):  
Higher Education ◽  
Regression Model ◽  
Statistical Significance ◽  
Significance Test ◽  
Survey Method ◽  
Public Expenditures ◽  
Data Envelopment ◽  
Truncated Regression ◽  
Second Stage ◽  
Determining Factors

Abstract This study aims to describe the determining factors in efficiency of public expenditures in Brazilian Federal Universities. A two-stage survey method was applied for a sample of fifty-nine Brazilian Federal Universities, from 2013 to 2017. The Data Envelopment Analysis (DEA) was applied for the first stage in order to measure the efficiency of public expenditures. For the second stage, a truncated regression model was applied, with a double bootstrap procedure for bias correction and statistical significance test of the variables. Results show that some Brazilian Federal Universities were inefficient during this period. Considering the truncated regression model of Simar and Wilson (2007), significant variables that influence the efficiency of public expenditures in federal universities were: public expenditures in Higher Education, number of professors, amount of enrolments, amount of graduates, total expenditures with employees and total amount of employees. Therefore, this study has contributed to scientific literature showing that these variables play a key role to public efficiency in federal universities.

scholarly journals The Effect of Job Satisfaction in Mediating the Relationship between Compensation, Tasks Competence and Commitment of Teachers ofSMA Don Bosco Padang

2020 ◽  
Vol 8 ◽  
pp. 514-522
Author(s):  
Martinus Kiwan ◽  
Heryanto
Keyword(s):  
Job Satisfaction ◽  
Data Analysis ◽  
Work Motivation ◽  
Independent Variables ◽  
Second Stage ◽  
Using Data ◽  
The Relationship ◽  
Effect Test ◽  
And Task ◽  
Task Commitment

This study aims to determinethe effect of Job Satisfaction in Mediating the Relationship between Compensation, Tasks Competence and Commitment of Teachers of SMA Don Bosco Padang as many as 64 people. Data were collected through questionnaires distributed to the entire population that could be used for analysis purposes. Hypothesis testing was carried out by using data analysis techniques through Path Analysis. The results of the data analysis show that of the (two) independent variables, Compensation has no significant effect. Menawhile, task competence has a significant effect on the Task Commitment variable (the dependent variable). Furthermore, the Compensation and Task CompetencyVariables have a significant effect on the Job Satisfaction variable as an intervening variable. Likewise, the Job Satisfaction variable also has a significant effect on performance. Both of the Independent Variables are eligible for the Mediation test. Job Satisfaction as an intervening variable has no influence between Compensation and Task Commitment. While Job Satisfaction as an intervening variable influences the Task Competence and the Task Commitment of Teachers of SMA Don Bosco Padang.The effect of compensation variable and career development to the commitment of the task in the first phase amounted described by value R2is 0.783 or 78.3%, when compared to the effect test of variable compensation and competency tasks to task commitment in the second stage by inserting a mediating variable work motivation where the effect described by the value R2is 0.783 or 84.6% or the increase of effect by incorporating variable job satisfaction as an intervening variable is 84.6% - 78.3%, or 6.3%

scholarly journals Efficiency in Vietnamese Banking: A Meta-Regression Analysis Approach

2021 ◽  
Vol 9 (3) ◽  
pp. 41
Author(s):  
Tin H. Ho ◽  
Dat T. Nguyen ◽  
Thanh Ngo ◽  
Tu D. Q. Le
Keyword(s):  
Regression Analysis ◽  
Banking Sector ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Data Envelopment ◽  
Truncated Regression ◽  
Frontier Analysis ◽  
Meta Regression ◽  
Meta Regression Analysis ◽  
Frontier Efficiency

This study explains the differences and variances in the efficiency scores of the Vietnamese banking sector retrieved from 27 studies published in refereed academic journals under the framework of meta-regression analysis. These scores are mainly based on frontier efficiency measurements, which essentially are Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) for Vietnamese banks over the period of 2007–2019. The meta-regression is estimated by using truncated regression to obtain bias-corrected scores. Our findings suggest that only the year of publication is positively correlated with efficiency, whilst the opposite is true for the data type, and sample size.

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