scholarly journals Efficiency and Capacity Utilization of India’s Marine Fisheries

2017 ◽  
Vol 4 (3) ◽  
pp. 14
Author(s):  
Ghirmai Tesfamariam Teame
Keyword(s):  
Data Envelopment Analysis ◽  
Capacity Utilization ◽  
Policy Formulation ◽  
Economic Losses ◽  
Data Envelopment ◽  
Excess Capacity ◽  
Fish Stocks ◽  
Marine Fishery ◽  
The Subject ◽  
Definition Of

For decades, the problems of excess capacity and overfishing have been the subject of considerable attentions, sincethey are the primary reasons for the depletion of fish stocks, reduction of the profitability and economic performanceof the fishery sectors at the national and international levels. As a result, estimations of technical efficiency,harvesting capacity, and capacity utilization has become an increasingly important practice in the fishery, since theyprovide useful information about the optimum allocation of inputs and outputs, and guide policy formulation tocombat biological and economic losses. Based on the Johansen (1968) definition of capacity we have examined thetechnical efficiency, capacity and capacity utilization of the marine fishery sectors of the India’s 9 marine states and4 union territories using an output oriented data envelopment analysis approach. The result of the study shows thatmajority of the states/union territories have been inefficient and have the capacity to harvest considerably more thanwhat they have actually been harvesting by using the existing resources in an efficient configuration and showed howserious the problem of excess capacity is in the India’s marine fishery.

ASSESSING TECHNICAL EFFICIENCY OF INNOVATIONS IN CANADA: THE GLOBAL SNAPSHOT

2019 ◽  
Vol 23 (03) ◽  
pp. 1950025 ◽  
Author(s):  
WOJCIECH NASIEROWSKI
Keyword(s):  
Technical Efficiency ◽  
Returns To Scale ◽  
Data Envelopment ◽  
Simulation Experiments ◽  
Canadian Perspective ◽  
Country Characteristics ◽  
Policy Measures ◽  
The Subject ◽  
Definition Of ◽  
Innovation Approach

This paper presents the results of a comparison of the technical efficiency of innovation approach in Canada to approaches in 41 other countries. Data Envelopment Analysis was used to investigate this subject. Results of simulation experiments were used to anticipate possible general suggestions regarding policy measures that may be considered when exploring means to improve Canadian performance. Data from the World Competitiveness Yearbook and European Innovation Scoreboard were used. Oslo Manual definition of innovations was used. Enablers (context) — difficult to change country characteristics that may impact upon technical efficiency — were entered into the examination. A qualitative overview of the Canadian perspective to innovations supplements the quantitative portion of the presentation. It is observed that return to scale and congestion issues dominate considerations on technical efficiency of innovations. Wealthier countries seem to be less technically efficient in innovations than not so rich ones. Canada operates under Decreasing Returns to Scale. Congestions seem to be the main contributor to inefficiencies. Suggestions regarding the betterment of technical efficiency of innovations in Canada are presented here. Attention was drawn to several questions for further studies on the subject and their importance clarified.

The Measurement of Efficiency in Multiunit Public Services

1987 ◽  
Vol 19 (11) ◽  
pp. 1511-1524 ◽  
Author(s):  
W D Macmillan
Keyword(s):  
Linear Programming ◽  
Data Envelopment Analysis ◽  
Fractional Programming ◽  
Policy Formulation ◽  
Operating Conditions ◽  
Data Envelopment ◽  
Linear Fractional Programming ◽  
New Concepts ◽  
Nonlinear Version ◽  
Efficiency And Effectiveness

After a review of the concepts of efficiency and effectiveness in multiunit nonmarket organisations, a recently developed technique known as Data Envelopment Analysis (DEA) is described and illustrated in this paper, and it is shown how this technique may be used in performance measurement. The linear fractional programming and equivalent linear programming formulations of the DEA problem are presented and an illustrative problem is solved. Some new concepts concerned with the application of DEA are introduced. A nonlinear version of the DEA problem is then described and illustrated. A comparison is made between the solutions of the linear and the nonlinear DEA problems. Last, brief consideration is given to the problems of uncontrollable operating conditions, policy formulation, and the acceptability of the technique to unit managers.

scholarly journals KAPASITAS PERIKANAN PELAGIS KECIL DI WILAYAH PENGELOLAAN PERIKANAN-714 LAUT BANDA MALUKU

2017 ◽  
Vol 2 (1) ◽  
pp. 43
Author(s):  
Johanis Hiariey ◽  
Mulyono Sumitro Baskoro
Keyword(s):  
Data Envelopment Analysis ◽  
Fishery Management ◽  
Time Series Data ◽  
Series Data ◽  
Data Envelopment ◽  
Excess Capacity ◽  
Fishing Capacity ◽  
Management Area ◽  
Management Policies ◽  
Pelagic Fishery

Kapasitas penangkapan berlebih merupakan suatu masalah kritis padaperikanan tangkap. Berkaitan dengan isu kapasitas tersebut, kajian ini dilakukan untuk menentukan kapasitas penangkapan ikan pelagis kecil di wilayah pengelolaan perikanan-714 Laut Banda, dengan menggunakan data runtun waktu periode tahun 1985-2006 yang dianalisis dengan teknik data envelopment analysis. Terdapat indikasi excess capacity pada perikanan pelagis kecil, dan pada periode tahun 1989-1998 kondisi perikanan menunjukan over capacity. Dengan demikian, dibutuhkan alternatif kebijakan pengelolaan perikanan untuk mengurangi input penangkapan pada perikanan di wilayah pengelolaan perikanan-714 Laut Banda.Excessive fishing capacity is a critical problem in marine capture fisheries. In line with the capacity issue, this study was conducted to determine fishing capacity of the small pelagic fishery at fishery management area-714 Banda Sea using time series data of 1985-2006 analyzed using technique of data envelopment analysis. There was indication of excess capacity on the small pelagic fishery, and the fishery in the period of 1989-1998 was found to be over capacity. Therefore, alternative fishery management policies were needed to reduce fishing inputs from the fishery of the fishery management area-714 Banda Sea.

Data Envelopment Analysis Development in Banking Sector

2018 ◽  
pp. 462-484
Author(s):  
Sepideh Kaffash ◽  
Mehran Torshizi
Keyword(s):  
Linear Programming ◽  
Data Envelopment Analysis ◽  
Banking Sector ◽  
Programming Model ◽  
Real Life ◽  
Relative Performance ◽  
Data Envelopment ◽  
Non Linear Programming ◽  
Dea Models ◽  
The Subject

Data Envelopment Analysis is a non-linear programming model introduced by Charnes, Cooper and Rhodes in 1978. It is used widely in literature to measure the relative performance of units in several various fields including the banking. The fascinating real life cases and problems needed to be solved, the nature of data and the types of indicators in the banking field makes it one the most popular fields for DEA researchers theoretically and empirically. DEA and its applications have been the subject of several reviews. However, in this paper the authors specifically review the classic and new DEA models and the applications of them in the banking field.

scholarly journals KAPASITAS PENANGKAPAN PUKAT CINCIN MINI DI PEMALANG

2017 ◽  
Vol 15 (2) ◽  
pp. 171
Author(s):  
Erfind Nurdin ◽  
Tri Wahyu Budiarti
Keyword(s):  
Data Envelopment Analysis ◽  
Capacity Utilization ◽  
Pelagic Fish ◽  
Fish Stock ◽  
Data Envelopment ◽  
Small Pelagic Fish ◽  
Fishing Capacity ◽  
Java Sea ◽  
Fishery Status ◽  
Dea Method

Sumber daya ikan pelagis kecil di Laut Jawa merupakan komoditi perikanan yang penting dan bersifat strategis. Sejalan dengan perkembangan pemanfaatannya, tekanan penangkapan yang tinggi dialami oleh hampir seluruh kawasan, terlebih di wilayah tradisionil. Kapasitas penangkapan akhir-akhir ini menjadi isu penting dalam perikanan global, mengingat di berbagai kawasan terjadi kapasitas berlebih dan penurunan stok ikan. Salah satu cara untuk mengetahui status perikanan terkini dilakukan dengan mengukur kapasitas perikanan. Penelitian ini dilakukan pada bulan Mei dan Juli tahun 2007 dengan metode Data Envelopment Analysis. Nilai rata-rata pemanfaatan variabel input (VIU) untuk daya lampu dan bahan bakar menunjukkan nilai di atas 1 (optimum = 1) yang mengindikasikan adanya kelebihan penggunaan variabel sehingga dipandang perlu untuk melakukan pengurangan variabel input. Nilai pemanfaatan kapasitas (CU) lebih besar dari 0,5 hampir mencapai 60% dari 106 kapal contoh. Hal ini menunjukkan bahwa nilai CU kurang dari 1 mendominansi distribusi perolehan nilai CU yang dapat diartikan telah terjadi kelebihan kapasitas pemanfaatan untuk penangkapan pukat cincin mini dengan basis di Pemalang, sehingga perlu upaya pengurangan kapasitas. Small pelagic fish resource in Java sea is an important fishery commodity. Nowadays high fishing pressure is experienced by mostly fishing areas, particularly in traditional zone. Fishing capacity recently becomes important issue in global fishery, because over capacity and fish stock decreasing is occured in various areas. One method to know the fishery status is by measuring fishery capacity, which is categorized as over capacity, under capacity or optimal condition. This study was carried out on May and July 2007. The method applied in this measurement of fishing capacity was DEA method (Data Envelopment Analysis). The average of variable input utilization for light intensity and fuel showed value of more than 1 (optimum = 1), indicating the usage of excess variable that need to reduce the input variable. The value of higher than 0.5 of capacity utilization showed 60% from 106 ships sample. This indicates that the CU value of less than 1 dominated the distribution of capacity utilization value. For mini purse seine based in Pemalang showed over capacity. This means, it needs to reduce the effort of fishing capacity.

Fishing capacity and capacity utilization of purse seiners using data envelopment analysis

2008 ◽  
Vol 74 (4) ◽  
pp. 730-735 ◽  
Author(s):  
Efthymia V TSITSIKA ◽  
Christos D MARAVELIAS ◽  
Premachandra WATTAGE ◽  
John HARALABOUS
Keyword(s):  
Data Envelopment Analysis ◽  
Capacity Utilization ◽  
Data Envelopment ◽  
Fishing Capacity ◽  
Using Data

scholarly journals Measuring the efficiency of Serbian insurance companies

2015 ◽  
Vol 65 (1) ◽  
pp. 91-105 ◽  
Author(s):  
Snežana Knežević ◽  
Milanka Marković ◽  
Andrijana Brown
Keyword(s):  
Data Envelopment Analysis ◽  
Economic Crisis ◽  
Optimal Strategy ◽  
Transition Period ◽  
Insurance Market ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Future Events ◽  
The Subject ◽  
Dea Method

The transition period, and the still ongoing economic crisis, amplify the volatility in the domestic insurance market and forces the management of insurance companies to continuously monitor changes in the market, i.e. to identify risks and opportunities, and therefore to undertake certain activities. The focus of the business of insurance companies is based on satisfying the needs of existing and potential clients. Respecting the current situation in the insurance market in anticipation of future events, the management of insurance companies must create and implement the optimal strategy in line with the company’s capabilities. For this purpose it is necessary to measure the efficiency of the business, which is the subject of this paper where the Data Envelopment Analysis (DEA) method is applied to the case of insurance companies operating in Serbia.

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