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The Budgeting of Portuguese Public Museums: a dynamic panel data analysis

Author

Listed:
  • João Coelho

    (Faculdade de Economia e Gestão - Universidade Católica Portuguesa - Porto)

  • Carlos Santos

    (Faculdade de Economia e Gestão - Universidade Católica Portuguesa - Porto)

Abstract

In this paper, the first panel on sources of funding for Portuguese publicly owned museums is explored. There has been little work in this field worldwide, and none for Portugal. Evidence in this paper seems contrary to that relating to the UK and to the US. We find that incremental budgeting still plays a major role on the funding of Portuguese museums, allowing for inefficient management and moral hazard: the interests of museums’ management may diverge clearly from those of the authorities ruling them and from those of the general public. We also find that the ability to generate their own revenues plays no role in the funding allocated to museums every year. Budgeting is mainly determined by past operating costs. Policy changes seem to be advisable. The scarce relevance of museum patronage by the private sector makes a discussion of possible crowding out effects irrelevant in the current Portuguese context.

Suggested Citation

  • João Coelho & Carlos Santos, 2008. "The Budgeting of Portuguese Public Museums: a dynamic panel data analysis," Working Papers de Economia (Economics Working Papers) 032008, Católica Porto Business School, Universidade Católica Portuguesa.
    • Handle: RePEc:cap:wpaper:032008
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature
    • Z19 - Other Special Topics - - Cultural Economics - - - Other
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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