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Cutting the cake: supporting environmental fund allocation decisions.

Stefan Hajkowicz1

  • 1CSIRO Sustainable Ecosystems, St Lucia, QLD, Australia. stefan.hajkowicz@csiro.au

Journal of Environmental Management
|April 21, 2009
PubMed
Summary

This study presents a decision model for allocating environmental funds using multiple criteria analysis (MCA). The method improved transparency and acceptance of funding decisions in Queensland, Australia.

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Area of Science:

  • Environmental Management
  • Decision Science
  • Public Policy

Background:

  • Financial resource allocation in environmental management is complex and often politicized.
  • Previous methods lacked transparency and broad acceptance.
  • The Natural Heritage Trust (NHT) required a robust system for fund distribution.

Purpose of the Study:

  • To develop and implement a decision support model for allocating financial resources in environmental management.
  • To improve the transparency, auditability, and acceptance of funding allocation decisions.
  • To target funds to regions with the greatest natural resource management needs.

Main Methods:

  • Utilized multiple criteria analysis (MCA) based on the compromise programming method.
  • Developed a needs assessment framework using 19 weighted criteria for natural resource assets and threats.
  • Applied the model to allocate NHT funds across 14 regions in Queensland, Australia.

Main Results:

  • The MCA model successfully informed the allocation of NHT funds in Queensland.
  • The model was accepted by governmental bodies and regional groups in 2005 and improved in 2007.
  • Demonstrated improved transparency and auditability in the allocation process.

Conclusions:

  • Multiple criteria analysis (MCA) provides a viable framework for equitable and justifiable environmental funding allocation.
  • The implemented model enhanced decision-making processes, reducing political influence.
  • The approach offers a scalable solution for resource allocation in natural resource management.