scholarly journals TOTAL FAKTOR PRODUKTIVITAS DAN INDEKS INSTABILITAS PERIKANAN TANGKAP: Kasus di Pelabuhan Ratu, Jawa Barat

2016 ◽  
Vol 10 (1) ◽  
pp. 35
Author(s):  
Budi Wardono ◽  
Akhmad Fauzi ◽  
Achmad Fahrudin ◽  
Agus Heri Purnomo
Keyword(s):  
Data Envelopment Analysis ◽  
Fishery Management ◽  
Sharp Decrease ◽  
Growth Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Instability Index ◽  
Long Line ◽  
Using Data ◽  
High Level

Perkembangan produksi perikanan di Pelabuhan Perikanan Nusantara (PPN) Pelabuhan Ratu secara total mengalami peningkatan lebih dari dua kali lipat pada periode 2002 sampai 2013. Peningkatan produksi hanya terjadi pada armada Kapal Motor (KM) dengan armada lebih 5 GT, sedangkan produksi ikan dari Perahu Motor Tempel (PMT) dengan armada kurang dari 5 GT mengalami penurunan tajam. Pada tahun 2013 share produksi ikan dari KM sebesar lebih 95 % sedangkan produksi ikan dari PMT kurang dari 5 %. Kondisi ini mengakibatkan ketidakseimbangan dalam alokasi sumber daya. Tujuan penelitian untuk mengetahui faktor produktivitas total dan indeks ketidakstabilan pada perikanan tangkap. Penelitian dilakukan pada bulan Agustus – Desember 2014 di Pelabuhan Ratu, Jawa Barat. Teknik analisis menggunakan pendekatan Data Envelopment Analysis (DEA) dan Coppock Index Instability (CII). Data yang digunakan adalah data time series statistik PPN Pelabuhan Ratu. Hasil analisis yang diperoleh menunjukkan bahwa sebagian besar armada telah mencapai tingkat efisiesni (nilai efisiensi=1); sedangkan perubahan total faktor produktivitas mengalami fluktuasi yang tajam (berada dikuadran III) pertumbuhan tinggi disertai ketidakpastian yang tinggi, mengindikasikan terjadi ketidakstabilan. Kondisi ini mengindikasikan terjadinya persaingan yang ketat diantara pelaku usaha sehingga menyebabkan terjadinya over-fishing dan over-capasity. Oleh karena itu diperlukan kebijakan untuk dapat mengurangi ketidakstabilan dengan cara rasionalisasi armada tangkap terutama alat tangkap yang sudah tidak efisien dan pengendalian kapal tuna long line. (Total Factor Productivity And Instability Index Of Marine Capture Fisheries: Case in Pelabuhan Ratu, West Java)Fishery production at the Nusantara Fishery Harbour in Pelabuan Ratu increases more than double of production from 2002 to 2013. The increase was only occured for number of marine inboard motor size more than 5 GT, while marine outboard motor size less than 5 GT experienced a sharp decrease. In 2013 the production share of marine inboard motor was more than 95 per cent, while the production share of marine outboard motor was less than 5 per cent. This condition had an impact on imbalaced resource allocation. The applied policy was formulated for fishery management in Pelabuhan Ratu based on information of efficiency, productivity change, and instability index. The analysis was done by using Data Envelopment Analysis (DEA) and Coppock Index Instability (CII) approaches. The result showed that most of big boats (more than 5 GT) have been efficient (efficiency value=1), while total productivity factor fluctuated sharply and indicated instability of production. Coppock Index Instability and growth index showed that most of conditions were on positive growth stage with high level of instability. This conditon caused tight competition among businessmen leading to over fishing and over capacity. A policy is needed to reduce instability by rationalizing capturing boat, especially the infficient ones and to controlling tuna long line vessel.

An Application of the Data Envelopment Analysis Method to Evaluate the Performance of Academic Departments within A Higher Education Institution

2016 ◽  
pp. 71-87 ◽  
Author(s):  
Oanh Nguyen Hoang ◽  
Ngoc Nguyen Hong
Keyword(s):  
Data Envelopment Analysis ◽  
Research Output ◽  
Academic Staff ◽  
Education Institution ◽  
Academic Departments ◽  
Productivity Change ◽  
Data Envelopment ◽  
Analysis Method ◽  
Data Set ◽  
Using Data

This paper aims to evaluate the efficiency or the productivity of academic departments within a university using Data Envelopment Analysis. As an illustrative example, we investigate the performance of 57 departments of National Economics University (NEU) for three years, from 2013 to 2015. The data set consists of one input variable, which is the number of academic staff, and three output variables in which the number of research hours is considered as research output and the number of graduates and teaching load are defined as teaching outputs. Particularly, the output-oriented CCR, BCC, and SBM model under both the CRS and VRS assumptions are applied in order to determine accurate degrees of efficiency of individual departments and directions for performance improvement for less efficient ones. The output-oriented radial Malmquist DEA model is also employed to make a comparative analysis of the productivity change of the departments over the period. The results reveal some clear policy-making implications for departments to adjust their development plan in an appropriate way.

scholarly journals Efficiency of Large Firms Operating in the Croatian Food Industry: Data Envelopment Analysis

2020 ◽  
Vol 17 ◽  
Keyword(s):  
Data Envelopment Analysis ◽  
Food Industry ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Large Firms ◽  
Industry Data ◽  
Scale Size ◽  
Using Data ◽  
High Level

The aim of this research was to estimate the overall technical, pure technical and scale efficiency of large firms operating in the Croatian food industry. The analysis was conducted using Data Envelopment Analysis, while applying both, CCR and BCC output-oriented model. With this approach, it was possible to identify efficient firms that can serve as examples of the best operating practice, as well as those inefficient firms which need to improve their performance. The obtained results revealed a high level of achieved overall technical, pure technical and scale efficiency, as well as the fact that firms in this industry mainly over-utilize the existing scale size.

Data Envelopment Analysis (DEA) in the Psychological Sciences

2019 ◽  
Author(s):  
Jeffrey A. Shero ◽  
Sara Ann Hart
Keyword(s):  
Data Envelopment Analysis ◽  
Aggressive Behavior ◽  
Personality Traits ◽  
Educational Administration ◽  
Latent Variable ◽  
Organizational Management ◽  
Data Envelopment ◽  
Targeted Interventions ◽  
Component Skills ◽  
Using Data

Using methods like linear regression or latent variable models, researchers are often interested in maximizing explained variance and identifying the importance of specific variables within their models. These models are useful for understanding general ideas and trends, but often give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method with roots in organizational management that make such insights possible. Unlike models mentioned above, DEA does not explain variance. Instead, it explains how efficiently an individual utilizes their inputs to produce outputs, and identifies which input is not being utilized optimally. This paper provides readers with a brief history and past usages of DEA from organizational management, public health, and educational administration fields, while also describing the underlying math and processes behind said model. This paper then extends the usage of this method into the psychology field using two separate studies. First, using data from the Project KIDS dataset, DEA is demonstrated using a simple view of reading framework identifying individual efficiency levels in using reading-based skills to achieve reading comprehension, determining which skills are being underutilized, and classifying and comparing new subsets of readers. Three new subsets of readers were identified using this method, with direct implications leading to more targeted interventions. Second, DEA was used to measure individuals’ efficiency in regulating aggressive behavior given specific personality traits or related skills. This study found that despite comparable levels of component skills and personality traits, significant differences were found in efficiency to regulate aggressive behavior on the basis of gender and feelings of provocation.

scholarly journals Performance Evaluation of Fishery Enterprises Using Data Envelopment Analysis—A Malmquist Model

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 469
Author(s):  
Chia-Nan Wang ◽  
Thi-Ly Nguyen ◽  
Thanh-Tuan Dang ◽  
Thi-Hong Bui
Keyword(s):  
Performance Evaluation ◽  
Data Envelopment Analysis ◽  
Technological Progress ◽  
Data Envelopment ◽  
Domestic Economy ◽  
Factor Productivity ◽  
Sales Revenue ◽  
Business Efficiency ◽  
Using Data ◽  
Decision Making Units

In Vietnam, fishing is a crucial source of nutrition and employment, which not only affects the development of the domestic economy but is also closely related to exports, heavily influencing the economy and foreign exchange. However, the Vietnamese fishery sector has been facing many challenges in innovating production technology, improving product quality, and expanding markets. Hence, the fishery enterprises need to find solutions to increase labor productivity and enhance competitiveness while minimizing difficulties. This study implemented a performance evaluation from 2015 to 2018 of 17 fishery businesses, in decision making units (DMUs), in Vietnam by applying data envelopment analysis, namely the Malmquist model. The objective of the paper is to provide a general overview of the fishery sector in Vietnam through technical efficiency, technological progress, and the total factor productivity in the four-year period. The variables used in the model include total assets, equity, total liabilities, cost of sales, revenue, and profit. The results of the paper show that Investment Commerce Fisheries Corporation (DMU10) and Hoang Long Group (DMU8) exhibited the best performances. This paper offers a valuable reference to improve the business efficiency of Vietnamese fishery enterprises and could be a useful reference for related industries.

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.

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