Make or Buy Urban Public Transport Services: A Rational Choice?
Make or Buy Urban Public Transport Services: A Rational Choice?
Make or Buy Urban Public Transport Services: A Rational Choice?
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distributed, the probabilities associated with each provision mode is given by:<br />
P r {Organization i = j} = P r<br />
=<br />
{<br />
k i−1 ≺<br />
}<br />
3∑<br />
(X i β l + ɛ i ) ≤ k i xxxxxxxxx<br />
l=1<br />
1<br />
1 + exp(−k i + ∑ 3<br />
l=1 X i β l ) − 1<br />
1 + exp(−k i−1 + ∑ 3<br />
, j = 1, 2, 3. (2)<br />
l=1 X i β l )<br />
Columns 1 and 3 of table 3 rep<strong>or</strong>t results from this rst specication.<br />
Impact of economic determinants. First, our results show a clear impact of service<br />
complexity. Models 1 and 3 indicate that cities whose urban public transp<strong>or</strong>t<br />
netw<strong>or</strong>k is complex are less likely to outsource the provision of transp<strong>or</strong>t services as<br />
the coecient associated to the variable Complexity i is negative and signicantly<br />
dierent from zero. This is consistent with our prediction: an increase in netw<strong>or</strong>k<br />
complexity, hence in contracting diculties, reduces the likelihood of outsourcing.<br />
Second, we nd a signicant negative c<strong>or</strong>relation between the probability to outsource<br />
and the number of cities covered by a transp<strong>or</strong>t netw<strong>or</strong>k (model 3). This supp<strong>or</strong>ts<br />
the view that local governments monit<strong>or</strong>ing several cities might face m<strong>or</strong>e contracting<br />
diculties if they decide to delegate the provision of the service.<br />
Third, our tests indicate that our proxy f<strong>or</strong> demand uncertainty (Uncertainty i ) is<br />
a signicant determinant of <strong>or</strong>ganizational choices. However, as opposed to our conjecture,<br />
the yearly uctuations of the demand f<strong>or</strong> transp<strong>or</strong>t appear to impact positively<br />
on the decision to outsource the provision of the service. One possible explanation is<br />
that in the presence of a high level of demand uncertainty, local governments might<br />
prefer to transfer commercial risks to private companies operating on several dierent<br />
netw<strong>or</strong>ks and hence able to mutualize these risks. However, this interpretation has to<br />
be qualied as delegation contracts do not necessarily imply the transfer of commercial<br />
risks on operat<strong>or</strong>s. As rep<strong>or</strong>ted by Roy and Yvrande-Billon (2007), in approximately<br />
50% of the delegation contracts risks on revenues are b<strong>or</strong>ne by local auth<strong>or</strong>ities 11 ,<br />
suggesting that the incidence of demand uncertainty on the likelihood of outsourcing<br />
depends on the type of contract chosen to govern service provision. And indeed, when<br />
we classify the various contracts acc<strong>or</strong>ding to the degree of commercial risk b<strong>or</strong>ne by<br />
the external provider and then estimate the impact of demand uncertainty on contractual<br />
choices, we nd that the m<strong>or</strong>e volatile the demand f<strong>or</strong> transp<strong>or</strong>t, the lower<br />
the likelihood to choose a net cost contract 12 . In other w<strong>or</strong>ds, netw<strong>or</strong>ks characterized<br />
11 About 50% of the contracts in the urban public transp<strong>or</strong>t sect<strong>or</strong> are indeed cost plus contracts<br />
<strong>or</strong> gross cost contracts. Hence only half of the contracts are net cost contracts.<br />
12 To look at the impact of demand uncertainty on contractual choices, we constructed a dummy<br />
variable (Commercial risk i) taking the value 1 when the external contract<strong>or</strong> bears commercial<br />
17