scholarly journals Measuring efficiency of Brazilian courts: one decade later

2020 ◽  
Vol 279 (1) ◽  
pp. 111
Author(s):  
Luciana Yeung
Keyword(s):  
Data Envelopment Analysis ◽  
Political Institutions ◽  
Malmquist Index ◽  
Data Envelopment ◽  
Quality Of Data ◽  
Measuring Efficiency ◽  
Malmquist Indexes ◽  
Local Courts ◽  
In The Beginning ◽  
Year 2000

<p><span>Medindo a eficiência dos tribunais brasileiros: uma década depois</span></p><p><span><br /></span></p><p><span>ABSTRACT<br />The Judiciary is perhaps one of the most scrutinized political institutions in Brazil. Its credibility, independence and efficiency are considered to have crucial impacts on social, political and economic outcomes. This paper aims at measuring (in)efficiency of the Brazilian Judiciary and its dynamism in recent years (2009-2015). We use DEA (Data Envelopment Analysis) and the Malmquist index to evaluate efficiency and productivity<br />change in Brazilian courts. Our results show that, more than a decade after the Conselho Nacional de Justiça’s (CNJ) first attempts to publicize judicial statistics in the beginning of the year 2000, local courts have substantially improved the discipline and the quality of data production and collection. Yet, there is still much room for progress. In terms of productivity, the picture has not changed much; also, the Malmquist indexes showed little improvement throughout the years.</span></p><p><span><br /></span></p><p><span>RESUMO<br />O Judiciário é, talvez, uma das instituições políticas mais escrutinadas no Brasil. Sua credibilidade, independência e eficiência têm impactos cruciais nos resultados sociais, políticos e econômicos. Este trabalho visa medir a (in)eficiência do Judiciário brasileiro e sua dinâmica nos últimos anos (2009-15). Utilizamos a Análise Envoltória de Dados — Data Envelopment Analysis (DEA) e o Índice de Malmquist para avaliar a eficiência e a mudança de produtividade nos tribunais. Nossos resultados mostram que, mais de uma década depois das primeiras divulgações de estatísticas pelo Conselho Nacional de Justiça (CNJ), os tribunais locais melhoraram substancialmente a disciplina e a qualidade da produção e coleta de dados. Mas há ainda muito espaço para progresso. Em termos de produtividade, a situação não mudou muito; também os Índices de Malmquist apresentaram pouca evolução ao longo dos anos.</span></p>

scholarly journals The Effect of the Launch of Bitcoin Futures on the Cryptocurrency Market: An Economic Efficiency Approach

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 413
Author(s):  
David Vidal-Tomás ◽  
Ana M. Ibáñez ◽  
José E. Farinós
Keyword(s):  
Data Envelopment Analysis ◽  
Economic Efficiency ◽  
Data Envelopment ◽  
Trade Off ◽  
Risk Return ◽  
Malmquist Indexes

We analyze the economic efficiency of the cryptocurrency market after the launch of Bitcoin futures by means of the Data Envelopment Analysis and Malmquist Indexes. Our results show that the introduction of Bitcoin futures did not affect the economic efficiency of the cryptocurrency market. However, we observe that Bitcoin obtained the highest risk-return trade-off due to its liquidity compared to the rest of cryptocurrencies. Therefore, our paper underlines the support of investors on Bitcoin to the detriment of the rest of cryptocurrencies.

scholarly journals Long-Term Economic Sustainability of Humanitarian Logistics—A Multi-Level and Time-Series Data Envelopment Analysis

2021 ◽  
Vol 18 (5) ◽  
pp. 2219
Author(s):  
Matthias Klumpp ◽  
Dominic Loske
Keyword(s):  
Data Envelopment Analysis ◽  
Time Series Data ◽  
Malmquist Index ◽  
Developed Countries ◽  
Efficiency Analysis ◽  
Humanitarian Logistics ◽  
Series Data ◽  
Data Envelopment ◽  
Least Developed Countries ◽  
Window Analysis

Although resources are scarce and outputs incorporate the potential to save human lives, efficiency measurement endeavors with data envelopment analysis (DEA) methods are not yet commonplace in the research and practice of non-government organizations (NGO) and states involved in humanitarian logistics. We present a boot-strapped DEA window analysis and Malmquist index application as a methodological state of the art for a multi-input and multi-output efficiency analysis and discuss specific adaptions to typical core challenges in humanitarian logistics. A characteristic feature of humanitarian operations is the fact that a multitude of organizations are involved on at least two levels, national and supra-national, as well as in two sectors, private NGO and government agencies. This is modeled and implemented in an international empirical analysis: First, a comprehensive dataset from the 34 least developed countries in Africa from 2002 to 2015 is applied for the first time in such a DEA Malmquist index efficiency analysis setting regarding the national state actor level. Second, an analysis of different sections in a Rohingya refugee camp in Bangladesh is analyzed based on a bootstrapped DEA with window analysis application for 2017, 2018, and 2019 quarter data regarding the private NGO level of operations in humanitarian logistics.

scholarly journals Measuring Efficiency of Knowledge Production in Health Research Centers Using Data Envelopment Analysis (DEA): A Case Study in Iran

10.19082/3266 ◽  
2016 ◽  
Vol 8 (11) ◽  
pp. 3266-3271
Author(s):  
Mohammad Meskarpour Amiri ◽  
Taha Nasiri ◽  
Seyed Hassan Saadat ◽  
Hosein Amini Anabad ◽  
Payman Mahboobi Ardakan
Keyword(s):  
Data Envelopment Analysis ◽  
Knowledge Production ◽  
Health Research ◽  
Data Envelopment ◽  
Research Centers ◽  
Measuring Efficiency ◽  
Using Data

scholarly journals KOMPARASI EFISIENSI & PRODUKTIVITAS PERUSAHAAN ASURANSI JIWA KONVENSIONAL DAN SYARIAH DI INDONESIA PADA TAHUN 2014 – 2017, DENGAN PENDEKATAN DEA & INDEKS MALMQUIST

2020 ◽  
Vol 6 (9) ◽  
pp. 1877
Author(s):  
Oky Suryoaji ◽  
Eko Fajar Cahyono
Keyword(s):  
Data Envelopment Analysis ◽  
Total Factor Productivity ◽  
Malmquist Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Constant Return

Tujuan penelitian ini adalah untuk mengetahui tingkat efisiensi dan produktivitas perusahaan asuransi jiwa antara konvensional dan syariah (baik Unit Usaha Syariah maupun Full Fledge) periode 2014 – 2017. Penelitian ini menggunakan pendekatan kuantitatif dengan metode non parametrik DEA (Data Envelopment Analysis) yang dilandaskan dengan asumsi CRS (Constant Return to Scale) dan VRS (Variable Return to Scale) dan Indeks Malmquist asumsi TFPC (Total Factor Productivity Change) dengan diolah menggunakan aplikasi DEAP Versi 2.1. Variabel yang digunakan meliputi Total Aset, Beban, Klaim, Premi/Dana Tabrru’, dan Pendapatan. Subjek yang digunakan dalam penelitian ini sebanyak 29 perusahaan asuransi jiwa syariah yang terdiri 10 perusahaan asuransi jiwa syariah dan 19 perusahaan asuransi jiwa konvensional. Hasil penelitian menunjukkan bahwa rata-rata perusahaan asuransi jiwa konvensional dan syariah belum mencapai efisien (CRS) dan rata-rata TFPC perusahaan asuransi jiwa konvensional sudah mencapai produktivitas sementara syariah belum mencapai produktivitas.Keywords:Asuransi Jiwa Syariah, Efisiensi, Produktivitas, Data Envelopment Analysis (DEA), Constant Return to Scale (CRS), Variable Return to Scale (VRS), Malmquist Index (MI), Total Factor Productivity Change (TFPC)

Measuring and Evaluating Efficiency on IT Outsourcing operations through Data Envelopment Analysis

2016 ◽  
Vol 12 (1) ◽  
pp. 1-20 ◽  
Author(s):  
João Correia dos Santos ◽  
Miguel Mira da Silva
Keyword(s):  
Data Envelopment Analysis ◽  
Design Science ◽  
Science Research ◽  
Business Environment ◽  
It Outsourcing ◽  
Data Envelopment ◽  
It Services ◽  
Programming Technique ◽  
Efficient Operation ◽  
Measuring Efficiency

Information Technology (IT) outsourcing is a set of IT services that require providers to manage a long relationship with multiple services that have a high degree of variance between clients. IT outsourcing operational contexts display multi-input and multi-output variables, so managers need guidance on developing suitable approaches in order to identify the set of variables to analyse. This work proposes a model based on Data Envelopment Analysis (DEA), which is a linear programming technique able to manipulate multiple inputs and outputs. DEA allows the identification of the most efficient operation, which in turn enables providers to set the best operational strategy to follow. The results demonstrate the importance of quantitative measures in a dynamic business environment like IT outsourcing. To develop the authors' research, design science research was applied, and eighteen IT outsourcing contracts were used to demonstrate their model's utility. This work is a major contribution for measuring efficiency in IT outsourcing operations.

Sign in / Sign up

Export Citation Format

Share Document