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An Introduction to Data Envelopment Analysis

An Introduction to Data Envelopment Analysis
Author: R Ramanathan
Publisher: SAGE
Total Pages: 208
Release: 2003-08-18
Genre: Business & Economics
ISBN: 9780761997610

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From the Foreword: 'This book is an excellent tool for practitioners who are interested in the merits and pitfalls of the technique.... (The author's) research is an example of inventiveness, diligence and accuracy' - Freerk A. Lootsma, Delft Institute of Technology Data envelopment Analysis is a Mathematical Programme for measuring performance efficiency of organizational units. The organizational units, termed as decision-making units (DMU) can be of any kind: manufacturing units, a set of schools, banks, hospitals, power plants, police stations, prisons, a set of firms etc. DEA has been unsuccessfully applied to measure the performance efficiency of these different kinds of DMUs which share a common characteristic - that they are non-profit organization where measurement of performance efficiency is difficult. DEA has been employed for assessing the relative performance of a set of firms that use a variety of identical inputs-say in the case of a school: quality of students, teachers, grants etc.,-to produce a variety of identical outputs-number of students who pass the final year, average grades obtained by the students in the final year etc. DEA assumes the performance of the DMUs by using the concepts of efficiency or productivity which is measured as the ratio of total outputs to total inputs. Also, the efficiencies estimated are relative to the best performing DMU or DMUs. The best performing DMU is given a score of 100% and the performance of other DMUs vary between 0 -100%.


Handbook of Production Economics

Handbook of Production Economics
Author: Subhash C. Ray
Publisher: Springer Nature
Total Pages: 1797
Release: 2022-06-02
Genre: Business & Economics
ISBN: 9811034559

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This three-volume handbook includes state-of-the-art surveys in different areas of neoclassical production economics. Volumes 1 and 2 cover theoretical and methodological issues only. Volume 3 includes surveys of empirical applications in different areas like manufacturing, agriculture, banking, energy and environment, and so forth.


Measuring Capacity in Fisheries

Measuring Capacity in Fisheries
Author: Sean Pascoe
Publisher: Food & Agriculture Org.
Total Pages: 332
Release: 2003
Genre: Business & Economics
ISBN: 9789251049747

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The methods are applied to a number of fisheries for example purpose.


Combining Balanced Score Card and Data Envelopment Analysis for Analyzing the Performance of Small Scale Fisheries

Combining Balanced Score Card and Data Envelopment Analysis for Analyzing the Performance of Small Scale Fisheries
Author: Mona Rezaei
Publisher:
Total Pages:
Release: 2014
Genre: University of Ottawa theses
ISBN:

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The balanced scorecard (BSC) is an accepted methodology for putting strategy into action. The BSC provides a comprehensive performance measurement for an organization with respect to both financial and non-financial perspectives, including the triple bottom line of planet, people, and profit. Through various implementations to companies, organizations, and sectors, balanced scorecards have been used widely both for strategic purposes, as well as for more tactical focus for auditing current performance. BSC implementation is particularly adequate when integrated with the operational processes of the organization. The integration between the strategic plan and the financial and operational plans proceed via the business process model that covers the operational processes associated with the objectives of the organization in the strategy map. In this way, BSC is a tool for real-time monitoring of performance as well as providing the crucial linkage to the organization's strategy that enables the proper implementation of the organization's strategy. Data envelopment analysis (DEA) has been widely applied for measuring the efficiency of a specific decision-making unit (DMU) against a projected point on an efficiency frontier. DEA is therefore particularly suitable for measuring the organizational efficiency based on the BSC indicators, which are defined as Key Performance Indicators (KPIs). In the commercial fisheries sector, sustainable strategy of fisheries organizations can be gained by running the current operations more effectively, and by integrating processes enabling adaptation to change. The efficiency frontier of the DEA model can be used to calculate the efficiency of fisheries operations. The proposed research is undertaken as part of the Canadian Fisheries Research Network (CFRN) to investigate the application of BSC and DEA for defining commercial fisheries performance evaluation variables with respect to the objectives of environmental sustainability, economic viability, and social and cultural stability in compliance with, and in the absence of, performance monitoring alleged in the Fisheries and Oceans, Canada Integrated Fisheries Management Plans (IFMP). The combination of BSC-DEA methodologies is developed in this research as a required performance monitoring system suitable for IFMPs for analyzing the relative efficiency of commercial fisheries case studies across Canada towards incorporating best sustainable practices in the industry.


Three Essays in Applied Economics

Three Essays in Applied Economics
Author: Son Linh Nguyen
Publisher:
Total Pages: 366
Release: 2010
Genre: Fisheries
ISBN:

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This thesis consists of five chapters and presents three essays: one on technical efficiency analysis and two on fisheries management. Chapter 1 introduces the thesis and describes software packages and computation facilities used. In chapter 2, we discuss the new approach and techniques of Kalirajan and Obwona that use a stochastic varying coefficients production model to measure technical efficiency. Beside the advantages of the approach, we show that the estimation and frontier output formulation techniques of Kalirajan and Obwona have a significant limitation due to a strict assumption that is necessary for their techniques but not appropriate in production models. Thus, to improve their techniques, we propose a relaxation of that assumption as well as a new estimation procedure and a new frontier output formula that can be used under the assumption relaxation. After that, a case study on Vietnamese rice production is presented, in which the improvements we propose are used and illustrated to be practical and easy to apply.