Strengths and weaknesses of data envelopment analysis: An urban and regional perspective

Stolp, Chandler

doi:10.1016/0198-9715(90)90016-m

Cited by 55 publications

(31 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The benefit of DEA in nontraditional situations is that instead of estimating the average relationship across inputs and outputs, it presents a frontier composed of the most efficient DMUs. Though the "inefficient" DMUs do not contribute to the shape of the frontier, which can be viewed as a loss of information on RTS, among other things, these drawbacks are less important when utilizing DEA simply for relative efficiency, as is the case here (Stolp 1990). …”

Section: Dea Methodologymentioning

confidence: 93%

Data Envelopment Analysis to Evaluate the Reliance and Engagement of Florida Communities on Gulf of Mexico Commercial Red Snapper Fisheries

Alsharif

Miller

2012

Fisheries

View full text Add to dashboard Cite

Análisis de inclusión de datos para evaluar la confiabilidad y compromiso de las comunidades de Florida en la pesca comercial de huachinango del Golfo de México RESUMEN: La pesquería de huachinango es impactada por el programa de Cuotas Individuales de Pesca (CIP), el cual se considera como el nuevo paradigma para esta pesquería en el Golfo de México. La pesquería del huachinango es esencial en las industrias pesqueras de Florida, y su manejo es crucial en el mantenimiento de la salud y sustentabilidad de las comunidades. Para determinar el grado de involucramiento de las comunidades costeras de Florida en la pesquería comercial de huachinango y, por consiguiente, el alcance potencial de las decisiones relativas a la pesquería, en este estudio se utilizó el Análisis de Inclusión de Datos (AIC); técnica empleada para estimar desempeño. Algunos de los hallazgos más interesantes de este trabajo mostraron que comunidades numerosas tienden a comprometerse con la pesquería más que a confiar en ella, mientras que las comunidades más pequeñas, compuestas por 5,000 personas o menos, tendieron a exhibir más confianza en la pesquería en comparación con las comunidades medianas o grandes ABSTRACT: The red snapper fishery is impacted by the individual fishing quotas (IFQ) program, which is considered a new paradigm for the red snapper fishery in the Gulf of Mexico. The commercial red snapper fishery is one of the essential fishing industries in Florida, and its management is crucial to maintain healthy, sustainable communities. To determine the involvement of Florida GulfCoast communities in the commercial red snapper fishery and thus the potential extent of fishery-related decisions, this study made use of data envelopment analysis (DEA), an estimation performance technique. Some of the most interesting findings of this study show that larger communities tended to be more engaged in the fishery than they were reliant on it, whereas smaller communities with populations of 5,000 people or fewer tended to exhibit more reliance on the fishery than larger or even mid-sized communities.

show abstract

Section: Dea Methodologymentioning

confidence: 93%

Data Envelopment Analysis to Evaluate the Reliance and Engagement of Florida Communities on Gulf of Mexico Commercial Red Snapper Fisheries

Alsharif

Miller

2012

Fisheries

View full text Add to dashboard Cite

show abstract

“…Traditional regression approaches do specify a unique functional relationship for all of the municipalities examined while DEA allows each municipality to formulate its own optimum production relationship (Stolp, 1990;Cubbin and Tzanidakis, 1998;Bowlin, 2004). Inefficiency occurs only in terms of excess inputs or a shortfall of outputs (Cooper et al, 2002;Bowlin, 2004).…”

Section: Dea Methodologymentioning

confidence: 99%

“…An additional strength of this approach is its use of multiple inputs and outputs (Stolp, 1990;Cubbin and Tzanidakis, 1998). Traditional regression approaches do specify a unique functional relationship for all of the municipalities examined while DEA allows each municipality to formulate its own optimum production relationship (Stolp, 1990;Cubbin and Tzanidakis, 1998;Bowlin, 2004).…”

Section: Dea Methodologymentioning

confidence: 99%

“…Performance or efficiency evaluation can be done using DEA. As a frontier estimation technique developed by Charnes et al (1981), performance measures are simple output-to-input ratios that are used as efficiency measures (Stolp, 1990). DEA can use multiple inputs and outputs to determine summary efficiency scores that can be used to evaluate the relative efficiency of the Palestinian municipalities.…”

Section: Dea Methodologymentioning

confidence: 99%

See 1 more Smart Citation

Governance of water supply systems in the Palestinian Territories: A data envelopment analysis approach to the management of water resources

Alsharif

Feroz

Klemer

et al. 2008

Journal of Environmental Management

View full text Add to dashboard Cite

“…They do not require any a priori assumptions on the production function. They therefore have more flexibility and, as such, let the data speak for themselves (Stolp, 1990). A disadvantage of this class lies in the restrictive curse of dimensionality and they often deliver a large variance and wide confidence interval.…”

Section: Operational Modelsmentioning

confidence: 99%

COOPER-framework: A unified process for non-parametric projects

Emrouznejad

Witte

2010

European Journal of Operational Research

107

View full text Add to dashboard Cite

Practitioners assess performance of entities in increasingly large and complicated datasets. If non-parametric models, such as Data Envelopment Analysis, were ever considered as simple push-button technologies, this is impossible when many variables are available or when data have to be compiled from several sources. This paper introduces by the 'COOPER-framework' a comprehensive model for carrying out non-parametric projects. The framework consists of six interrelated phases:Concepts and objectives, On structuring data, Operational models, Performance comparison model, Evaluation, and Result and deployment. Each of the phases describes some necessary steps a researcher should examine for a well defined and repeatable analysis. The COOPER-framework provides for the novice analyst guidance, structure and advice for a sound non-parametric analysis. The more experienced analyst benefits from a check list such that important issues are not forgotten. In addition, by the use of a standardized framework non-parametric assessments will be more reliable, more repeatable, more manageable, faster and less costly.

show abstract

Strengths and weaknesses of data envelopment analysis: An urban and regional perspective

Cited by 55 publications

References 15 publications

Data Envelopment Analysis to Evaluate the Reliance and Engagement of Florida Communities on Gulf of Mexico Commercial Red Snapper Fisheries

Data Envelopment Analysis to Evaluate the Reliance and Engagement of Florida Communities on Gulf of Mexico Commercial Red Snapper Fisheries

Governance of water supply systems in the Palestinian Territories: A data envelopment analysis approach to the management of water resources

COOPER-framework: A unified process for non-parametric projects

Contact Info

Product

Resources

About