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Efficiency assessment of real estate cadastral offices using DEA

By: CORDERO FERRERA, José Manuel.
Contributor(s): PEDRAJA CHAPARRO, Francisco | SALINAS JIMÉNEZ, Javier.
Material type: materialTypeLabelArticlePublisher: Brussels : Sage, dec. 2011Subject(s): Eficiência | Avaliação de Desempenho | Técnica AdministrativaInternational Review of Administrative Sciences 77, 4, p. 802-824Abstract: This article describes an approach to measuring efficiency of a set of units operating in an administrative public service context, namely real estate cadastral offices, a venue which has not been analysed previously in the reported literature. This study was made possible thanks to the dataset provided by the Directorate General of Real Estate Cadastral Assessment and includes relevant information on regional cadastral offices in Spain over the time period 2000 to 2005. Data Envelopment Analysis and Malmquist indices were used to estimate the efficiency levels of these units. The results of these analyses revealed the existence of significant differences between average efficiency levels and the identification of efficient units throughout the period under consideration, although it is possible to detect a substantial improvement in technical efficiency for the last two years of the data collection period, when the new regulation about real estate evaluation came into effect. Likewise, the estimation of a second stage model based on bootstrap techniques highlights the importance of collaborating with other public sector agents to enhance efficiency levels.Abstract: Points for practitioners This article provides an empirical analysis of units providing cadastral services in Spain using Data Envelopment Analysis. This technique is an excellent tool for professionals working in public management and administration since it is easy to implement and allows identifying the best performers among producers operating in a field, which can be considered as benchmarks for other units searching to improve their results. Ourresults confirm that the units collaborating with other public sector agents (mainly councils and notaries) accomplish enhanced performances in terms of efficiency. This evidence can be useful for policy-makers interested in reducing costs and improving the organization of administrative units
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This article describes an approach to measuring efficiency of a set of units operating in an administrative public service context, namely real estate cadastral offices, a venue which has not been analysed previously in the reported literature. This study was made possible thanks to the dataset provided by the Directorate General of Real Estate Cadastral Assessment and includes relevant information on regional cadastral offices in Spain over the time period 2000 to 2005. Data Envelopment Analysis and Malmquist indices were used to estimate the efficiency levels of these units. The results of these analyses revealed the existence of significant differences between average efficiency levels and the identification of efficient units throughout the period under consideration, although it is possible to detect a substantial improvement in technical efficiency for the last two years of the data collection period, when the new regulation about real estate evaluation came into effect. Likewise, the estimation of a second stage model based on bootstrap techniques highlights the importance of collaborating with other public sector agents to enhance efficiency levels.

Points for practitioners This article provides an empirical analysis of units providing cadastral services in Spain using Data Envelopment Analysis. This technique is an excellent tool for professionals working in public management and administration since it is easy to implement and allows identifying the best performers among producers operating in a field, which can be considered as benchmarks for other units searching to improve their results. Ourresults confirm that the units collaborating with other public sector agents (mainly councils and notaries) accomplish enhanced performances in terms of efficiency. This evidence can be useful for policy-makers interested in reducing costs and improving the organization of administrative units

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