scholarly journals The Analysis of Tuberculosis Funds Efficiency on High Burden Countries

2019 ◽  
Author(s):  
Estro Dariatno Sihaloho ◽  
Adiatma Y.M Siregar
Keyword(s):  
Technical Efficiency ◽  
High Efficiency ◽  
Positive Impact ◽  
Data Envelopment ◽  
High Burden ◽  
Marginal Effects ◽  
Dea Method ◽  
Low Efficiency ◽  
Using Data ◽  
Global Health Problem

Tuberculosis remains a major global health problem and ranks as the second leading cause of death from infectious disease worldwide. Countries devote their budgets to overcome the tuberculosis problem. An efficient use of these budgets will arguably reduce the number of tuberculosis cases and eventually give a positive impact to the economy. This paper aims it aims to estimate the technical efficiency scores of tuberculosis funds on high-burden countries by using Data Envelopment Analysis(DEA) method. Further, this study analyzes other environmental factors that are crucial to increase the efficiency scores by using Tobit method. DEA shows that some countries exhibit high efficiency scores while others exhibit low efficiency scores. It also informs how countries use funds to maximize their results. Meanwhile, the Tobit estimation shows that taxing cigarettes and committing budgets to control tobaccos have positive marginal effects on technical efficiency scores.

scholarly journals The analysis of tuberculosis funds efficiency on high burden countries

2019 ◽  
Vol 22 (1) ◽  
pp. 45-62
Author(s):  
Estro Dariatno Sihaloho ◽  
Adiatma Y. M. Siregar
Keyword(s):  
Technical Efficiency ◽  
High Efficiency ◽  
Positive Impact ◽  
Data Envelopment ◽  
High Burden ◽  
Marginal Effects ◽  
Dea Method ◽  
Low Efficiency ◽  
Using Data ◽  
Global Health Problem

Tuberculosis remains a major global health problem and ranks as the second leading cause of death from infectious disease worldwide. Countries devote their budgets to overcome the tuberculosis problem. An efficient use of these budgets will arguably reduce the number of tuberculosis cases and eventually give a positive impact to the economy. This paper aims it aims to estimate the technical efficiency scores of tuberculosis funds on high-burden countries by using Data Envelopment Analysis (DEA) method. Further, this study analyzes other environmental factors that are crucial to increase the efficiency scores by using Tobit method. DEA shows that some countries exhibit high efficiency scores while others exhibit low efficiency scores. It also informs how countries use funds to maximize their results. Meanwhile, the Tobit estimation shows that taxing cigarettes and committing budgets to control tobaccos have positive marginal effects on technical efficiency scores.

EVALUATING THE EFFICIENCY OF VIETNAM BANKS USING DATA ENVELOPMENT ANALYSIS

2021 ◽  
pp. 2150010
Author(s):  
DO THI THANH NHAN ◽  
KIM-HUNG PHO ◽  
DANG THI VAN ANH ◽  
MICHAEL MCALEER
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Data Envelopment ◽  
Resource Analysis ◽  
Scientific Disciplines ◽  
Business Efficiency ◽  
Dea Method ◽  
Using Data

Efficiency is a topic of great interest because its applications are diverse and rich. It is applied greatly in all scientific disciplines, especially accounting for a very large proportion in economics, finance and accounting. The main objective in this paper is to analyze the effectiveness of banks in Vietnam. In order to investigate this issue, there are several implements to examine bank effectiveness where the data envelopment analysis (DEA) method is widely used. This paper presents details of the DEA method. Using the data collected from banks in Vietnam for the period 2014–2017, the approach is executed to investigate issues of technical efficiency, resource analysis and business efficiency of banks in Vietnam.

scholarly journals Efficiency and Profitability Analysis of Agricultural Cooperatives in Mpumalanga, South Africa

2018 ◽  
Vol 10 (6) ◽  
pp. 1
Author(s):  
Thembi Xaba ◽  
Nyankomo Marwa ◽  
Babita Mathur-Helm
Keyword(s):  
Decision Making ◽  
Technical Efficiency ◽  
High Efficiency ◽  
Secondary Data ◽  
Agricultural Cooperatives ◽  
Business Context ◽  
Profitability Analysis ◽  
The Matrix ◽  
Low Efficiency ◽  
Using Data

Agricultural cooperatives are expected to generate sustainable profit as they are established as a vehicle of economic development. Efficiency and profitability analysis measures the performance of a firm, and assists management in decision-making through benchmarking with other firms (Marwa & Aziakpono, 2014). To understand the performance of agricultural cooperatives, our study analysed efficiency and profitability using an efficiency-profitability matrix to provide for multi-dimensional analysis. The study used secondary data from annual financial statements for the financial years 2015/16 collected from 19 agricultural cooperatives. Technical efficiency was estimated using Data Envelopment Analysis (DEA) and profitability was estimated using Returns on Assets (ROA). The median scores were 68% for technical efficiency and 10% for profitability. Using the 68% efficiency and 10% profitability benchmark, the matrix separated best performers from low performers. The matrix indicated that 26% of the cooperatives had high-efficiency levels with high profitability (stars), however there was an even distribution between the stars and sleepers: 5 out of 19 cooperatives were sleepers and 5 out of 19 were stars. The majority of the decision-making units (DMUs) at 42% (8 out of 19) are in quadrant 3, categorised as ‘question mark’. These DMUs had low-efficiency scores and low profitability ratios. Only 1 out of 19 cooperatives had high-efficiency levels and low profitability scores. The results demonstrate that technically efficient firms do not always translate to profitable firms: in this regard, management needs to investigate how best to allocate resources in order to remain relevant within the business context and competition. Policy makers need to investigate other drivers of efficiency and profitability when measuring the performance of a firm to influence future policy directives.

scholarly journals Efficiency and Profitability Analysis of Agricultural Cooperatives in Mpumalanga, South Africa

2018 ◽  
Vol 10 (6(J)) ◽  
pp. 1-10
Author(s):  
Thembi Xaba ◽  
Nyankomo Marwa ◽  
Babita Mathur-Helm
Keyword(s):  
Decision Making ◽  
Technical Efficiency ◽  
High Efficiency ◽  
Secondary Data ◽  
Agricultural Cooperatives ◽  
Business Context ◽  
Profitability Analysis ◽  
The Matrix ◽  
Low Efficiency ◽  
Using Data

Agricultural cooperatives are expected to generate sustainable profit as they are established as a vehicle of economic development. Efficiency and profitability analysis measures the performance of a firm, and assists management in decision-making through benchmarking with other firms (Marwa & Aziakpono, 2014). To understand the performance of agricultural cooperatives, our study analysed efficiency and profitability using an efficiency-profitability matrix to provide for multi-dimensional analysis. The study used secondary data from annual financial statements for the financial years 2015/16 collected from 19 agricultural cooperatives. Technical efficiency was estimated using Data Envelopment Analysis (DEA) and profitability was estimated using Returns on Assets (ROA). The median scores were 68% for technical efficiency and 10% for profitability. Using the 68% efficiency and 10% profitability benchmark, the matrix separated best performers from low performers. The matrix indicated that 26% of the cooperatives had high-efficiency levels with high profitability (stars), however there was an even distribution between the stars and sleepers: 5 out of 19 cooperatives were sleepers and 5 out of 19 were stars. The majority of the decision-making units (DMUs) at 42% (8 out of 19) are in quadrant 3, categorised as ‘question mark’. These DMUs had low-efficiency scores and low profitability ratios. Only 1 out of 19 cooperatives had high-efficiency levels and low profitability scores. The results demonstrate that technically efficient firms do not always translate to profitable firms: in this regard, management needs to investigate how best to allocate resources in order to remain relevant within the business context and competition. Policy makers need to investigate other drivers of efficiency and profitability when measuring the performance of a firm to influence future policy directives.

Analisis Efisiensi Pendidikan Sekolah Menengah Atas Negeri (SMAN) di Kabupaten Semarang

2018 ◽  
Vol 1 (3) ◽  
pp. 220-231
Author(s):  
Mulyati Sri ◽  
Dyah Maya Nihayah
Keyword(s):  
High School ◽  
Teacher Education ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Senior High School ◽  
Uneven Distribution ◽  
Data Envelopment ◽  
Exam Score ◽  
Dea Method ◽  
Using Data

This research due to analysis the technical efficiency of education in Semarang Regency  using Data Envelopment Analysis (DEA) method and assumption of Variable Return to Scale (VRS). Variables that used in this research are the ratio of students per teachers, the ratio of students per administrative employee, teacher education ratio, and teachers experience ratio, the output variables are the average national exam score, and the percentage of graduation. Result of this research, State Senior High School (SMAN) in Semarang Regency can reach efficiency at level are SMAN 1 Tengaran, and  SMAN 1 Susukan. Some SMAN in Semarang regency also can’t achieve efficient at level are SMAN 1 Getasan, SMAN 1 Ambarawa, SMAN 1 Bringin, SMAN 1 Bergas SMAN 1 Suruh, SMAN 1 Pabelan and SMAN 1 Tuntang, SMAN 2 Ungaran, and SMAN 1 Ungaran. The reason  inefficiency level of students ratio per teachers, students ratio per administration employee, teachers education ratio and teachers experience ratio, due to uneven distribution of teachers to various regions, especially SMAN can’t reach efficiency at level. Penelitian ini menganalisis efisiensi teknis bidang pendidikan di Kabupaten Semarang dengan menggunakan metode Data Envelopment Analysis (DEA) dan asumsi Variabel Return to Scale (VRS). Penelitian ini menggunakan variabel input, yaitu rasio siswa per guru, rasio siswa per pegawai administrasi, rasio pendidikan guru, dan rasio pengalaman guru, untuk variabel outputnya, yaitu rata- rata nilai ujian nasional dan presentase kelulusan. Penelitian memberikan hasil bahwa ada beberapa Sekolah Menengah Atas Negeri (SMAN) di Kabupaten Semarang yang bisa mencapai tingkat efisiensi, yaitu SMAN 1 Tengaran, dan SMAN 1 Susukan. Beberapa SMAN di Kabupaten Semarang juga belum bisa mencapai tingkat efisiensi, yaitu SMAN 1 Getasan, SMAN 1 Ambarawa, SMAN 1 Bringin, SMAN 1 Bergas, SMAN 1 Suruh, SMAN 1 Pabelan, SMAN 1 Tuntang SMAN 2 Ungaran, dan SMAN 1 Ungaran. Penyebab utama tingkat inefisiensi rasio siswa per guru, rasio siswa per pegawai administrasi, rasio pendidikan guru dan rasio pengalaman guru, dikarenakan kurang meratanya penyebaran guru ke berbagai daerah, khususnya SMAN yang belum bisa mencapai tingkat efisiensi.

scholarly journals Technical efficiency among agricultural households and determinants of food security in East Java, Indonesia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rachman Hakim ◽  
Tri Haryanto ◽  
Dyah Wulan Sari
Keyword(s):  
Food Security ◽  
Technical Efficiency ◽  
Data Envelopment ◽  
Rice Farming ◽  
Logit Regression ◽  
Agricultural Households ◽  
And Gender ◽  
Using Data ◽  
Land Size ◽  
Average Consumption

AbstractRice is a staple food in East Java, and the average consumption is 100 kg/capita/year. However, rice productivity has declined dramatically in recent years. Food security can be reached by improving the technical efficiency of rice farming, especially in rice farming centers such as East Java Province. This study aims to measure technical efficiency and its determinants using two limit tobit. And it also aims to examine the effect of the technical efficiency of rice farming on food security using logit regression. Technical efficiency will be measured by using data envelopment analysis (DEA). The results show that the technical efficiency of rice farming is very low in East Java. Government assistance, irrigation, and extension have a significant effect on technical efficiency. Meanwhile, membership of farmer organization has no effect on technical efficiency. Around 69% of farmers can be categorized as food secure households. The estimation of logit regression shows that household size, income, land size, education, age, and gender significantly influence food security in East Java. Meanwhile, credit and technical efficiency did not have any significant effect.

scholarly journals Measuring the Efficiency of Football Clubs Using Data Envelopment Analysis: Empirical Evidence From Spanish Professional Football

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402198925
Author(s):  
Isidoro Guzmán-Raja ◽  
Manuela Guzmán-Raja
Keyword(s):  
Data Envelopment Analysis ◽  
High Efficiency ◽  
Sport Performance ◽  
Data Envelopment ◽  
Professional Football ◽  
Efficiency Measure ◽  
Factors Affecting ◽  
Football Clubs ◽  
Main Factors ◽  
Using Data

Professional football clubs have a special characteristic not shared by other types of companies: their sport performance (on the field) is important, in addition to their financial performance (off the field). The aim of this paper is to calculate an efficiency measure using a model that combines performance (sport and economic) based on data envelopment analysis (DEA). The main factors affecting teams’ efficiency levels are investigated using cluster analysis. For a sample of Spanish football clubs, the findings indicate that clubs achieved a relatively high efficiency level for the period studied, and that the oldest teams with the most assets had the highest efficiency scores. These results could help club managers to improve the performance of their teams.

scholarly journals The Measurement of Innovation Efficiency of Chinese High-tech Industry Using Data Envelopment Analysis

2015 ◽  
Vol 65 (s2) ◽  
pp. 101-113 ◽  
Author(s):  
Ling Jiang ◽  
Yunyu Jiang ◽  
Zhijun Wu ◽  
Dongsheng Liao ◽  
Runfa Xu
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Environmental Variables ◽  
Scale Efficiency ◽  
High Tech ◽  
Data Envelopment ◽  
High Tech Industry ◽  
Economic Competitiveness ◽  
Development Level ◽  
Using Data

In the era of knowledge economy, a country’s economic competitiveness depends largely on the development level of high-tech industry. This paper evaluates the efficiency of China’s high-tech industry in 31 provinces in 2012 with data envelopment analysis. The empirical results are summarized as following. Firstly, when the effects of exogenous environmental variables are not controlled, the comprehensive technical efficiency of 31 provinces will be overestimated, the pure technical efficiency will be underestimated, and the scale efficiency value will be overestimated. Secondly, after eliminating the environmental impact, the comprehensive technical efficiency of 31 provinces with the average of 0.395 is rather low, due to the low scale efficiency.

Assessment of the technical efficiency of Brazilian logistic operators using data envelopment analysis and one inflated beta regression

2018 ◽  
Vol 286 (1-2) ◽  
pp. 703-717
Author(s):  
Murilo Wohlgemuth ◽  
Carlos Ernani Fries ◽  
Ângelo Márcio Oliveira Sant’Anna ◽  
Ricardo Giglio ◽  
Diego Castro Fettermann
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Beta Regression ◽  
Data Envelopment ◽  
Using Data
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