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Colin Duffield - Australian APEC Study Centre

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<strong>APEC</strong> Workshop<br />

Establishing, maintaining and utilisation of a data<br />

base<br />

Associate Professor <strong>Colin</strong> <strong>Duffield</strong><br />

10 February 2010


Outline / Introduction<br />

1. Databases and their purpose<br />

a) Interest<br />

b) Market understanding – activity<br />

c) Harmonisation of approaches – lower prices and less delays due to<br />

consistency<br />

d) Identification of potential opportunities<br />

e) Policy and practice enhancement<br />

2. Some examples<br />

a) Europe<br />

b) Australia<br />

c) India<br />

d) Researchers<br />

3. Issues<br />

4. Reality check


Example<br />

European<br />

data<br />

[source European PPP<br />

Report 2009 – EPEC]


Infrastructure Australia<br />

[source<br />

www.infrastructureaustr<br />

aslia.gov.au Feb 2010]


[source<br />

www.infrastructureaustr<br />

aslia.gov.au Feb 2010]


[source Linking<br />

Melbourne Authority,<br />

Feb 2010]<br />

Details:<br />

- Transparent<br />

- In depth<br />

- Across all project<br />

areas


Indian database<br />

Eg Report 1 Eg Report 2


Data Capture<br />

Requested data<br />

Project number<br />

Description<br />

Project name<br />

Project delivery method<br />

Project description<br />

Including details of the form of the project contract, e.g. managing<br />

contractor, head contracts, design and construct, public private<br />

partnership<br />

Including brief details of the scope and objective of the project<br />

Project costs<br />

Including details of cost estimates at the various stages of procurement<br />

and actual project costs or forecast of final cost; include a break down in<br />

terms of operating and capital costs. Please record data in nominal<br />

dollars.<br />

Project cost details<br />

Project risk allocation<br />

Brief reasons for any variance and inflation assumptions and the Public<br />

Sector Comparator (PSC) nominal discount rate used.<br />

Details of the risk allocation between parties of the design and/or<br />

construction risk, ownership risk, operational risk, residual value risk.<br />

Standard forms were developed to clearly represent this data. Any<br />

additional explanation or comments regarding these risks was also<br />

requested.


Data Capture cont…<br />

Requested data<br />

Project timeline<br />

Description<br />

Details of estimates at the various stages of procurement for project<br />

duration, important milestones and forecast completion dates. Standard<br />

forms were developed to clearly represent this data. Brief reasons for<br />

deadlines not being achieved were also requested.<br />

Project outcome<br />

Specific outcome (metrics)<br />

Details of the whether project objectives were [are likely to be] achieved,<br />

including any reduction or increase in scope; provide reasons for<br />

objectives not being achieved; include value for money measured as a<br />

percentage of the PSC*; include results of any post-project benefits<br />

assessment that may have taken place if the project has been completed;<br />

include relevant quantitative data for all projects to support project<br />

outcomes where available<br />

Metrics of project outcomes were requested, Eg.: PSC = $100m; Contract<br />

NPV (forecast/actual) = $90; VFM = $10m; VFM % of PSC = 10%


Methodology - periods<br />

• Full Period: $<br />

• Government as well as<br />

PPP/TP affect this<br />

• Stage 3:<br />

• Mostly influenced by PPP<br />

consortium/TP contractor<br />

Original<br />

approval<br />

Final<br />

budget<br />

Contractual<br />

commitment<br />

Actual<br />

final<br />

TIME<br />

(MILESTONES)<br />

FULL PERIOD<br />

STAGE 1<br />

STAGE 2<br />

STAGE 3


Methodology - periods<br />

• Full Period: $<br />

• Government as well as<br />

PPP/TP affect this<br />

• Stage 3:<br />

• Mostly influenced by PPP<br />

consortium/TP contractor<br />

Original<br />

approval<br />

Final<br />

budget<br />

Contractual<br />

commitment<br />

Actual<br />

final<br />

TIME<br />

(MILESTONES)<br />

FULL PERIOD<br />

STAGE 1<br />

STAGE 2<br />

STAGE 3


Construction cost over-runs<br />

Total Cost of Traditional & PPP Projects ($M)<br />

Expected<br />

Cost<br />

Net Cost<br />

Over-run<br />

Final<br />

Cost<br />

% Cost<br />

Over-run<br />

Full Period<br />

Original Approval -<br />

Final<br />

Tradition<br />

al<br />

PPP<br />

3,082.0<br />

4,484.4<br />

1,087.6<br />

519.3<br />

4,169.6<br />

5,003.7<br />

35.3%<br />

11.6%<br />

Stage 3:<br />

Contract - Final<br />

Tradition<br />

al<br />

PPP<br />

4,532.6 672.5 5,205.1 14.8%<br />

4,946.1 57.6 5,003.7 12% 1.2%<br />

Source: ACG/University of Melbourne


Cost performance over project initiation<br />

and delivery (source: VFM report 2009)


Time performance over project initiation<br />

and delivery (source: <strong>Duffield</strong> 2008)<br />

20<br />

Time Performance (based on averages)<br />

15<br />

% La ater than anticip pated<br />

10<br />

5<br />

0<br />

% Earlier r than<br />

antici pated<br />

-5<br />

-10<br />

Original<br />

Announcement<br />

Budget<br />

approval<br />

Contractual<br />

commitment<br />

Actual<br />

Final<br />

Project Milestones PPP Traditional


Issues associated with data collection<br />

1. Confidentiality – commercially sensitive<br />

2. Contractual limitations on sharing of commercial details<br />

3. Dynamic environment means data changes as a project<br />

progresses – what perspective is being sought<br />

4. Different perspectives for different audiences<br />

5. Timing of the release of data is critical<br />

6. Data management is difficult and data can be either incorrect,<br />

dated or misleading if not adequately controlled


Reality check<br />

What may be practical for a generic <strong>APEC</strong> database<br />

• Database for:<br />

a) Interest Achievable<br />

b) Market understanding – activity Achievable<br />

c) Harmonisation of approaches –<br />

detailed learning<br />

d) Identification of potential<br />

opportunities<br />

e) Policy and practice enhancement Unlikely<br />

<br />

<br />

Is a database that achieves points a) & b) (potentially with some mis-<br />

) ) ( y<br />

information) worthwhile


Reference to benchmarking studies:<br />

Wood, P. and <strong>Duffield</strong>, CF 2009, In Pursuit of Additional Value: A<br />

benchmarking study into alliancing in the <strong>Australian</strong> Public Sector.<br />

Melbourne, Department of Treasury and Finance, State of Victoria.<br />

[www.dtf.vic.gov.au… project-alliancing]<br />

<strong>Duffield</strong>, CF 2008, National PPP Forum – Benchmarking <strong>Study</strong>, Phase II:<br />

Report on the performance of PPP projects in Australia when<br />

compared with a representative sample of traditionally procured<br />

infrastructure projects, Report to the PPP Forum by the Melbourne<br />

Engineering Research Institute, 15 November: 44,<br />

http://repository.unimelb.edu.au/10187/3148.<br />

Allen Consulting Group, <strong>Duffield</strong>, CF and Raisbeck, P 2007,<br />

‘Performance of PPPs and Traditional Procurement in Australia’,<br />

Melbourne, Infrastructure Partnerships Australia: 57.


A/Prof <strong>Colin</strong> <strong>Duffield</strong><br />

colinfd@unimelb.edu.au<br />

© Copyright The University of Melbourne 2007 cricos code 00116K

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