Research 350 - NZ Transport Agency
Research 350 - NZ Transport Agency
Research 350 - NZ Transport Agency
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modified CGE modelling. However, adding up the results of SCBA and CGE<br />
modelling, as in ACG’s recent modelling of New Zealand road projects, is wrong. In<br />
addition, the use of CGE modelling to derive welfare outcomes, such as advocated<br />
by Dwyer et al (2004), still faces investment modelling and non-market transactions<br />
issues. Thus, any use of other macroeconomic modelling approaches in combination<br />
with SCBA should carefully note issues of double counting and compatibility. In<br />
addition, the issue of parsimony, namely the extensive work required to develop and<br />
maintain CGE (or, theoretically, LUTI) models in return for modest improvements in<br />
SCBA accuracy, should be noted. This is especially true given limited resources in<br />
small economies, such as New Zealand’s.<br />
• There would therefore not seem to be a strong case for abandoning SCBA for more<br />
complex techniques to account for ‘missing benefits’; the proposed alternatives do<br />
not provide a reliable substitute and do not appear to be justified on grounds of<br />
parsimony.<br />
Question 2.3<br />
• It is not possible to derive a direct linkage between the outputs of SCBA and<br />
changes in macroeconomic indicators, such as GDP. SCBA provides no direct<br />
information on such indicators. Thus, projects which record a negative NPV (BCR<br />
below 1.0) may still produce increases in GDP. While it is likely that projects which<br />
produce a positive NPV (BCR above 1.0) will be associated with GDP growth, even<br />
this is not certain (particularly given that SCBA may include valuations of non-market<br />
products such as environmental externalities and some non-work travel time).<br />
• In theory, I-O, LUTI and CGE models could be used to complement the results of<br />
SCBA. All of these models may provide some form of national macroeconomic<br />
information of use to policy makers. Depending on the model, these may include<br />
data on employment, income, GDP, land use, investment, trade, consumption,<br />
wages and tax. However CGE modelling is the most accurate and reliable<br />
methodology and should be preferred if national impacts are to be modelled. I-O<br />
analysis may be acceptable (and preferable) within a regional context – see below.<br />
• As SCBA does not produce these broader measures as outputs, using SCBA in<br />
combination with of these approaches could provide a policymaker with a broader<br />
view of the overall impacts of the project.<br />
• CGE could also help pinpoint some omitted benefits, such as the impacts of<br />
imperfect competition, however there may still be some issues of compatibility with<br />
SCBA.<br />
• However, it is recommended that SCBA be viewed as the primary decision-making<br />
tool in such cases.<br />
• Further, given the issues of time and expense and the scepticism expressed<br />
regarding the need to develop/maintain such models by governments in larger<br />
jurisdictions (such as the UK), it is likely that only the largest New Zealand projects<br />
would require development and maintenance of such models This is particularly the<br />
case since the average impacts of imperfect competition in New Zealand may be<br />
even smaller then those derived by UK studies such as SACTRA (1999).<br />
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