Gastos públicos com educação: a análise da eficiência dos municípios da Zona da Mata mineira (p. 119-143)

1969 ◽  
Author(s):  
Leonardo Mesquita Nascimento ◽  
Ivy Silva Costa ◽  
Bruno Silva Olher
Keyword(s):  
Data Envelopment Analysis ◽  
Management Practices ◽  
Local Development ◽  
Secondary Data ◽  
Data Envelopment ◽  
Use Of Resources ◽  
Public Resources ◽  
Capita Spending ◽  
Per Capita ◽  
Social Area

ResumoA educação pública é fator importante para amenizar as disparidades socioeconômicas e para promover o desenvolvimento local. Este estudo buscou analisar a eficiência na alocação dos gastos públicos nos 142 municípios da Zona da Mata mineira por meio da análise envoltória de dados (DEA). Utilizou-se de dados secundários referentes ao ano de 2010, obtidos nos sites do Instituto Brasileiro de Geografia e Estatística (IBGE), Fundação João Pinheiro (FJP) e Secretaria do Tesouro Nacional (STN). Foram extraídas as variáveis PIB per capita, gastos com educação per capita e o Índice Mineiro de Responsabilidade Social (IMRS) relacionado à área de educação. Com base no modelo DEA, apenas 13 municípios foram classificados como eficientes. Por meio da análise de correlação, foi possível inferir que o PIB per capita e os gastos com educação per capita influenciam positivamente o IMRS relacionado à área de educação. No entanto, essa correlação positiva não permite afirmar que maiores investimentos em educação acarretam em eficiência nesta área. Os resultados sugerem a revisão das práticas de gestão dos municípios considerados ineficientes, no intuito de aperfeiçoar os métodos alocativos adotados para que haja melhor aproveitamento dos recursos e melhor provimento da educação pública nesses municípios.Palavras-chave: Análise envoltória de dados. Recursos públicos. Municípios da Zona da Mata mineira. Responsabilidade social em educação pública.Public spending on education: the analysis of the efficiency of municipalities in the Zona da Mata MineiraAbstractPublic education is an important factor to reduce the socioeconomic disparities and to promote local development. This study aimed to analyze the efficiency in the allocation of public spending in the 142 municipalities in the Zona da Mata through data envelopment analysis (DEA). We used secondary data for the year 2010, obtained on the websites of the Brazilian Institute of Geography and Statistics (IBGE), João Pinheiro Foundation (FJP) and the National Treasury Secretariat (STN). The GDP variables were extracted per capita, per capita spending on education and Mining Index of Social Area of Responsibility Education (IMRS Education). Based on DEA model, only 13 municipalities were classified as efficient. Through correlation analyzes indicated that GDP per capita and per capita spending on education influence positively the IMRS Education. Therefore, this positive correlation did not show that greater investment in education lead in efficiency in this area. The results suggest the review of municipalities management practices that were considered inefficient in order to improve the allocation methods adopted so there is a better use of resources and public education provision in these municipalities.Keywords: Data envelopment analysis. Public resources. Zone municipalities da Mata. Social responsibility in public education.El gasto público en educación: el análisis de la eficiencia de los municipios de la Zona da Mata MineiraResumenLa educación pública es un factor importante para mitigar las disparidades socioeconómicas y promover el desarrollo local. Este estudio investiga la eficiencia en la asignación del gasto público en los 142 municipios de la Zona da Mata mediante el análisis envolvente de datos (DEA). Utilizamos datos secundarios para el año 2010, obtenida en los sitios web del Instituto Brasileño de Geografía y Estadística (IBGE), João Pinheiro Fundación (FJP) y la Secretaría del Tesoro Nacional (STN). Las variables del PIB fueron extraídos por habitante, el gasto per cápita en educación y Minería Índice de Área Social de Educación Responsabilidad (IMRS Educación). Basado en el modelo DEA, sólo 13 municipios fueron clasificados como eficiente. A través del análisis de correlación fue posible inferir que el PIB per cápita y el gasto per cápita en educación positivamente influir en la Educación IMRS. Sin embargo, esta correlación positiva no dice que una mayor inversión en la educación lograr la eficiencia en esta área. Los resultados sugieren una revisión de las prácticas de gestión de los municipios considerados ineficientes, con el fin de mejorar los métodos de asignación adoptadas para que haya un mejor uso de los recursos y una mejor provisión de la educación pública en estos municipios.Palabras clave: Análisis envolvente de datos. Los recursos públicos. Municipios Zona da Mata. Responsabilidad social en la educación pública.

scholarly journals Efficiency Institution Baitul Maal Tamwill in The Westdistrict Bandung

2020 ◽  
Vol 1 (1) ◽  
pp. 18-24
Author(s):  
Annisa Nur Hakim ◽  
A Jajang W Mahri ◽  
Aas Nurasyiah
Keyword(s):  
Data Envelopment Analysis ◽  
Research Method ◽  
Secondary Data ◽  
Data Envelopment ◽  
Analysis Technique ◽  
Dea Analysis ◽  
Input Variables ◽  
Operational Activities ◽  
A Company ◽  
Descriptive Method

Abstract.     Baitul Maal Wat Tamwil has experienced development in recent years. However, based on BMT performance data in West Bandung regency is less optimal. It is known that there are one efficient BMTs in West Bandung Regency and three BMTs that are inefficient. The cause of BMT's less optimal performance is inefficiency in operational activities. This study aims to determine the level of efficiency of BMT in West Bandung 2011-2017 period and find out the causes of inefficiency. This study uses secondary data from four BMTs in West Bandung District which are sampled. The research method used is descriptive method with Data Envelopment Analysis (DEA) analysis technique which is to measure the level of efficiency of a company. Input variables used are operating expenses, total assets, and TPF. Furthermore, the output variables used are SHU, income, and financing. Based on the results of research conducted, the conditions of the BMT in West Bandung Regency have not been perfectly efficient. There are three BMTs that have experienced inefficiencies including BMT Dana Ukhuwah, BMT Mustama, and BMT Rabbani. Keywords.          Efficiency, Baitul Maal Wat Tamwil, Data Envelopment Analysis

scholarly journals Keterkaitan Efisiensi Kredit Usaha Rakyat (KUR) dengan Topografi Wilayah di Kabupaten Pati, Provinsi Jawa Tengah

2019 ◽  
Vol 3 (2) ◽  
pp. 117-130
Author(s):  
Farida Farida ◽  
Nur Wahyuni ◽  
Ida Zulfida
Keyword(s):  
Spatial Distribution ◽  
Data Envelopment Analysis ◽  
Economic Activity ◽  
Research Method ◽  
Secondary Data ◽  
Data Envelopment ◽  
Economic Activities ◽  
Central Java ◽  
Exogenous Factors ◽  
Descriptive Qualitative

Exogenous factors such as topography of the region are often overlooked in determining the pattern of economic activity. In fact, the geographical surface contributes to the spatial distribution of varied economic activities. The purpose of this study was to see the linkage between the efficiency of the disbursement of People’s Business Credit (KUR) program and the topography of the region in Pati Regency-Central Java. The research method is descriptive qualitative by overlaying the efficiency level of 35 KUR channeling banks with polygon maps of each subdistrict in Pati regency. Data on the efficiency level of unit banks are secondary data of each bank unit which has been calculated with Data Envelopment Analysis (DEA) application. Is it dicovered that unit banks are very inefficient at topographies bordered with arid limestone mountains or along rivers that often overflows. As a result, economic activity is not optimal and the disbursement of KUR is not efficient at the area. On the contrary, at topographies in the lowlands, the trade, agriculture, and fisheries sectors are advanced, population is large,  economic activities are fast, thus encourage efficient credit disbursement.

scholarly journals Analyzing the performance of the Major League Baseball Teams by using the Data Envelopment Analysis

2021 ◽  
pp. 1-13
Author(s):  
Yanzhi Bi
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Major League Baseball ◽  
Scale Effects ◽  
Competitive Environment ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Use Of Resources ◽  
Major League ◽  
Reasonable Use

Abstract Professional teams are commercial and recreational organizations, and team managers always set their goals to be playing well and benefitting more in a highly competitive environment. In order to measure the ability of the professional teams to make reasonable use of resources and create various outputs, this study employs the Data Envelopment Analysis (DEA) model to measure the efficiencies of 30 Major League Baseball (MLB) teams. The results showed that the inefficiencies were due to pure technical inefficiencies rather than scale effects, and the scale efficiency on average is more higher than the other efficiencies, applying the managers in the Major League Baseball Teams have higher ability of controlling the scale change. Keywords: Major League Baseball, Data Envelopment Analysis, Technical efficiency, Pure technical efficiency, Scale efficiency.

Benchmarking of Indian Rail Freight by DEA

2014 ◽  
pp. 273-291
Author(s):  
Neeraj Bhanot ◽  
Harwinder Singh ◽  
Rajbir Singh Bhatti
Keyword(s):  
Performance Evaluation ◽  
Comparative Analysis ◽  
Data Envelopment Analysis ◽  
Public Participation ◽  
Secondary Data ◽  
Container Terminals ◽  
Data Envelopment ◽  
Business Operations

The overall development of business operations logistics activities becomes more important for firms with the globalization of economy and therefore performance measurement being equally important. In order to break monopolistic control of Container Corporation of India (CONCOR), Indian Railways entered for competition in the container segment in January 2006 through private-public participation for customer centric competitiveness. The purpose of this book chapter is to benchmark the performance indicators in CONCOR. A case study has been conducted employing basic and super-efficiency models of Data Envelopment Analysis (DEA) on secondary data of CONCOR, Adani and Gateway container terminals from 1995-96 till 2010-11 for performance evaluation within CONCOR and comparative analysis for three organizations from 2005-06 till 2010-11. The exercise identified efficiency trends fluctuating between 87.5% to 1000% within CONCOR owing to haphazard infrastructure developed while comparison with private players showed 38.31% to 77.59% efficiency fluctuation concurrent to licensing policy norms.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI IMPOR BERAS DI INDONESIA PERIODE 2000:01 – 2009:04

Media Ekonomi ◽  
2017 ◽  
Vol 18 (2) ◽  
pp. 69
Author(s):  
Malyda Husna Salsyabilla
Keyword(s):  
Data Envelopment Analysis ◽  
Capital Market ◽  
Secondary Data ◽  
Data Envelopment ◽  
Analysis Method ◽  
Output Variable ◽  
Performance Levels ◽  
Public Firms ◽  
Debt Capital ◽  
Input Variables

<p>This study aims to determine the efficiency levels of cigarettes industry in Indonesia. The analysis tools used in this study is the DEA (Data Envelopment Analysis) method of analysis. Expecially for the “Go Public” firms those are PT BAT Indonesia, PT Bentoel, PT Gudang Garam, PT HM Sampoerna. The research, used secondary data, from the Indonesian Capital Market Directory year 2006 - 2008. Variables used in the study consist of four input variables and two output variables. Its input variables consist of labor, Debt, Capital, and Total Asset, whiles its output variable consist of Net Sales and Gross Profit. The research results show that there only two companies that consistent to maintained the level of efficiency of 100% during the study, namely PT BAT Indonesia and PT HM Sampoerna. Meanwhile, two other companies show their performance levels efficiency have not stabillized during the study, namely PT Bentoel and PT Gudang Garam.</p>

scholarly journals ANALISIS EFISIENSI INDUSTRI ROKOK DI INDONESIA DENGAN MENGGUNAKAN METODE DEA (DATA ENVELOPMENT ANALYSIS) TAHUN 2006 - 2008

Media Ekonomi ◽  
2017 ◽  
Vol 19 (2) ◽  
pp. 73 ◽  
Author(s):  
Ida Ayu Puspitasari
Keyword(s):  
Data Envelopment Analysis ◽  
Capital Market ◽  
Secondary Data ◽  
Total Asset ◽  
Data Envelopment ◽  
Analysis Method ◽  
Output Variable ◽  
Public Firms ◽  
Debt Capital ◽  
Input Variables

<p>This study aims to determine the efficiency levels of cigarettes industry inIndonesia. The analysis tools used in this study is the DEA (Data Envelopment Analysis)method of analysis. Expecially for the “Go Public” firms those are PT BAT Indonesia, PT Bentoel, PT Gudang Garam, PT HM Sampoerna. The research, used secondary data, from the Indonesian Capital Market Directory year 2006 - 2008. Variables used in the study consist of four input variables and two output variables. Its input variables consist of labor, Debt, Capital, and Total Asset, whiles its output variable consist of Net Sales and Gross Profit. The research results show that there only two companies that consistent to maintained the level of efficiency of 100% during the study, namely PT BAT Indonesia and PT HM Sampoerna. Meanwhile, two other companies show their performance levels efficiency have not stabillized during the study, namely PT Bentoel and PT Gudang Garam.<br />Keywords : Efficiency, DEA, Cigarette Company, Labor, Debt, Capital, Total Asset, Net Sales, Gross Profit.</p>

scholarly journals Economic Efficiency of the Main Oil Producing Countries in Upstream Sector in the Period 2010-2017

2021 ◽  
Vol 17 (2) ◽  
pp. 1-17
Author(s):  
José César Lenin Navarro Chávez ◽  
Odette Virginia Delfín Ortega ◽  
Enrique Guardado Ibarra
Keyword(s):  
United States ◽  
United Kingdom ◽  
Data Envelopment Analysis ◽  
United Arab Emirates ◽  
Economic Efficiency ◽  
Allocative Efficiency ◽  
Oil Industry ◽  
Data Envelopment ◽  
Economic Vulnerability ◽  
Use Of Resources

This work aims to calculate the economic efficiency of the main upstream oil producing countries in 2010-2017, using the Data Envelopment Analysis (DEA) methodology. In the begining the technical efficiency is determined, next allocative efficiency is calculated to finally obtain the economic efficiency. The countries analyzed were: United States, Russia, Canada, China, United Arab Emirates, Kuwait, Brazil, Kazakhstan, Mexico, Angola, Venezuela, Algeria, United Kingdom, Holland, France and Spain. It can be seen from the results that no country was efficient in economic terms. However, Russia had the highest levels of economic efficiency, on the opposite side, France has the lowest values in this indicator. It is recommended to establish strategies in the sector to avoid economic vulnerability in some countries. The main limitation is the availability of the data. The originality of the research consists in obtaining economic efficiency in this industry, since there are no studies with these specific characteristics. It is concluded that in terms of economic efficiency, there was no adequate use of resources in the upstream oil industry.

scholarly journals The Role Of Contested And Uncontested Passes In Evaluating Defensive Basketball Efficiency

2011 ◽  
Vol 4 (2) ◽  
pp. 33-42 ◽  
Author(s):  
James T. Bartholomew ◽  
David. A. Collier
Keyword(s):  
Data Envelopment Analysis ◽  
Full Advantage ◽  
Analytical Methods ◽  
Performance Metrics ◽  
Future Research ◽  
Data Envelopment ◽  
Performance Information ◽  
Use Of Resources ◽  
Modern Analytical

The global economic impact of basketball is measured in tens of billions of dollars and requires the efficient use of resources to maximize success on and off the court. Today, coaches, players, investors, and owners need to take full advantage of modern analytical methods and digital video software capabilities to make the most efficient use of a teams resources. This research is the first in a series that makes full use of modern analytic methods and begins to define new defensive and offensive criteria to supplement the decades old game box score performance information. Data envelopment analysis and statistical methods are used to evaluate two new defensive performance metrics on defensive efficiency. The two new defensive metrics are contested and uncontested passes that are fully defined in the articles appendix. Future research will expand the sample size and allow for more comprehensive models of basketball team defensive efficiency.

scholarly journals COMPARISON OF EFFICIENCY SCHOOL PERFORMANCE BETWEEN NATURAL AND SOCIAL SCIENCES: A BOOTSTRAPPING DATA ENVELOPMENT ANALYSIS

2019 ◽  
Vol 38 (2) ◽  
pp. 281-291
Author(s):  
Zaenal Mustakim ◽  
Muhamad Chamdani ◽  
Umi Mahmudah
Keyword(s):  
Social Sciences ◽  
High School ◽  
Data Envelopment Analysis ◽  
Secondary Data ◽  
School Education ◽  
High School Education ◽  
Average Score ◽  
Data Envelopment ◽  
General Description ◽  
Decision Making Unit

The main purpose of this study is to compare the efficiency performance of high school education in Indonesiabased on its specialization groups, namely natural and social sciences. This study uses secondary data of high school published by Ministry of Education and Culture of Republic of Indonesia in 2016 which covers general description such as the numbers of schools, students, teachers, graduates, classes, et cetera. This study uses a bootstrap approach that is applied in Data Envelopment Analysis (DEA) method, which compares the efficiency of each Decision Making Unit (DMU). To compare its efficiency, as many as 34 provinces are used as DMUs by using six input variables, namely the number of participants of national exam, students, schools, teachers, libraries, and the number of classrooms. The output variables are the number of graduates, the average score of national exam in Indonesian, English, and mathematics.The results indicate that all provinces have very good performance in organizing high school education for both natural and social sciences where the average efficiency scores of the traditional DEA are .99 and .98 for natural and social sciences, respectively. Meanwhile, its average scores from bootstrapped DEA are .98 and .96 for natural and social sciences, respectively. The empirical results also reveal that bootstrapped DEA provides better accuracy of efficiency scores than the traditional DEA. Overall, the provinces in Indonesia have better performance in organizing natural science than social science.

Measurement of Technical and Scale Efficiency of Dairy Farms in Pune District of Maharashtra: Data Envelopment Analysis Approach

2021 ◽  
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Management Practices ◽  
Dairy Farms ◽  
Herd Size ◽  
Efficiency Score ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Resource Saving ◽  
Technical Efficiency Score

The present study intended to determine the technical and scale efficiency of sample dairy farms for evaluating their performance. Data Envelopment Analysis (DEA) technique was used to estimate the technical and scale efficiency of 80 each of member and nonmember dairy farms in the Pune district of Maharashtra state during 2019. Technical efficiency score further partitioned into pure technical efficiency and overall technical efficiency. The technical efficiency score was more for member dairy farms as compared to the non-members under the assumption of constant return to scale (CRS) and variable return to scale (VRS). It highlighted that the non-members of dairy cooperatives had more potential to reduce the input use without affecting the output level compared to the member group. It was also observed that the technical efficiency under the CRS assumption was more than VRS for both member and non-member groups. It revealed that the farms were scaled inefficient (SE<1) and not operating at optimal scale. The study further revealed a positive relationship between technical efficiency and herd size. It also revealed that the resource-saving potential due to the scale effect. So, it supported the policy of providing technical advice on the use of feed and fodder resources, better management practices, and increasing the herd size to increase the technical and scale efficiency.

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