IDEAS home Printed from https://ideas.repec.org/p/anp/en2005/142.html
   My bibliography  Save this paper

Eficiência Econômica: Uma Aplicação Do Modelo De Fronteira Estocástica Em Empresas De Saneamento

Author

Listed:
  • Thelma Harumi Ohira
  • Ricardo Shirota

Abstract

The objective of the present study, is measure the efficiency in the sector of basic sanitation. Verifying the existence of economical efficiency among basic sanitation companies on Sao Paulo State, according to the different products determination, assuming two types of systematical errors (half-normal and truncated-normal), as well as, the covered services: regional and local. To perform that, it has been evaluated the efficiency existence on the companies, on Sao Paulo State, using the data from the 'Sistema Nacional de Informação sobre Saneamento' (SNIS), of 2002, from Cities Ministry; through stochastic frontier models of cost function to each type of output used as the dependent variable. It is possible to conclude that, according to the different determinations of outputs, and the assumed distribution of the systematic error, the results has presented different results. That way, the determination of the efficiency is sensible to the choice of output. Performed tests have showed that covered services of the companies were not significant to determine a result. This allows that is possible decrese costs of this enterprises and hold the service's level.

Suggested Citation

  • Thelma Harumi Ohira & Ricardo Shirota, 2005. "Eficiência Econômica: Uma Aplicação Do Modelo De Fronteira Estocástica Em Empresas De Saneamento," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33rd Brazilian Economics Meeting] 142, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  • Handle: RePEc:anp:en2005:142
    as

    Download full text from publisher

    File URL: http://www.anpec.org.br/encontro2005/artigos/A05A142.pdf
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:anp:en2005:142. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Rodrigo Zadra Armond (email available below). General contact details of provider: https://edirc.repec.org/data/anpecea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.