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Alencar, C T (2000) Highway concessions in Brazil: an analysis towards the feasibility of the securitization. Journal of Financial Management of Property and Construction, 5(03), 159–69.

Ali, H M and Ruddock, L (2000) The impact of portfolio strategy onthe 'style' performance of UK property companies. Journal of Financial Management of Property and Construction, 5(03), 123–33.

Kennedy, P and Milligan, J L (2000) Cost of the adjudication process in the UK since the introduction of the Housing Grants, Construction and Regeneration Act 1996. Journal of Financial Management of Property and Construction, 5(03), 171–80.

Liow, K H (2000) Corporate financial reporting of Singapore property companies: issues and evidence. Journal of Financial Management of Property and Construction, 5(03), 149–58.

Mbugua, L M, Holt, G D and Olomolaiye, P O (2000) An evaluation of international frameworks for business self-assessment and their application in UK construction. Journal of Financial Management of Property and Construction, 5(03), 135–47.

Sohail, M and Edum-Fotwe, F T (2000) Cost-duration tool for policy decision on micro and small projects. Journal of Financial Management of Property and Construction, 5(03), 111–22.

  • Type: Journal Article
  • Keywords: micro projects; cost; duration; infrastructure; non-linear regression
  • ISBN/ISSN: 1366-4387
  • URL: http://www.emeraldinsight.com/journals.htm?issn=1366-4387
  • Abstract:
    For policy makers connected with infrastructure developments, a decision on whether a particular scheme should be pursued or abandoned will be influenced in no small measure by the overall cost and duration involved in undertaking the scheme. The speed with which such a decision can be arrived at and the cost and time involved in generating the information for making such decisions is equally crucial. For medium to large projects, the cost and time for generating this information is insignificant compared to the overall scheme cost and duration. This however, is not the case for schemes that fall into the magnitude that is categorised as micro and small. The paper presents a simple graphical tool that can be employed to facilitate the decision of policy makers involved in such small and micro projects. The tool was developed with data from 132 micro projects using statistical modelling techniques, and provides a quick and cost effective means of arriving at the information that should support policy decisions relating to small and micro projects.