The
Dynamics of Garbage Collection:
A System Dynamics Case Study on Privatization.
Tim Haslett
Department of Management
Monash University
email: Tim
Haslett@BusEco.Monash.edu.au
This paper outlines a consulting assignment with a local city council
in New Zealand. Local government in New Zealand, which represents the second
tier beneath the central government, had been moving towards a competition
based model for the provision of services that had previously been funded
through taxes collected through local government. Participants in a Systems
Thinking seminar identified the introduction of competition into a previously
publicly funded service, a garbage collection, as an appropriate problem for
analysis. The political imperative behind privatization in this council had
been a reduction in rates (local taxes) and increased cost effectiveness
through competition and user pays. The introduction of competition into the
garbage collection system was chosen for analysis as it had not delivered the desired
outcomes. A Causal Loop Diagram (CLD) exposed the underlying dynamics of the
situation which arose from the initial goals of the authority namely, the
introduction of the ecomonic goal of greater
efficiencies through competition and the social goal of a shift to recycling
cross-subsidized from revenue from the garbage collection.
The story that the group told for this CLD was informative. As an introduction to competition the Council
decided to begin charging a relatively low fee for garbage collection to ease
the transition from what had traditionally been a “free” (ie
funded out of local taxes) service. It was also decided to provide a “free”
(cross-subsidised) recyclable collection to move residents towards recycling
more of their garbage. Over time the price of garbage collection would be
increased to increase the amount of recycling. Thus a fundamental dynamic of
the model was a steady increase in the price the council charged to collect
garbage. The council had assumed that the price that it set for collection
would dictate the amount of recycling. It was also assumed that any private
operator would match the council’s price. However, the competitor decided to
leave entering the market until the council had raised its price to a point
where the private operator could not only discount the council’s price, but
also make a profit. Many residents stayed with the council as a matter of
principle, while others opted for the less expensive private collector. Thus
the “Price Gap” drove the relative market share of both collectors as shown in
Figure 1.
Fig 1: CLD of competitive garbage collection.
Two important policy implications emerge from the CLD. First, that
while not being required to provide a recycling service, the private collector
can set a price for garbage collection that dictates the total amount of
recycling. The presence of a competitor in the market produced a
counter-intuitive outcome for the council: a lowering of the rate of recycling.
Second, only the council is carrying the cost of recycling and this impacts on council expenses. The “behaviour over time”
graphs generated by an “iThink” model demonstrated
the dynamics of policies adopted by the council.
Figure 2 shows the point at which the private operator entered the
market when the collection price is 70c per unit. Figure 3 shows the impact on
revenue of the entry of the competitor: council revenue declines sharply and
the revenue of both operators declines as the price increases.
Fig
2: Price point for entry of competitor |
Fig
3 Relative
revenue. |
Figure 4 shows the relative profitability figures. The rising levels of recycling (shown in Figure 5), drives council
expenses up and profitability down. The competitor, who does not cross
subsidize the recycling is increasingly profitable.
Fig
4: Relative profitability |
Fig
5: Mix of recycling and collection |
The combination of the social policy on recycling with the economic
policy on competition set up dynamics that led to a decline in the
profitability of the council’s operation. The competitor took a significant
proportion of the council’s market share through discounting and would only
enter the market when it was profitable. In addition, the gradual shift to
recycling eroded the council’s profitability. Finally, the social policy goals
to be met through cross-subsidization, they create a disadvantage for the
council.
The simulation can now be used to test policy options. The first
is for the
council to keep its price at a level where it is unprofitable for a competitor
to enter (68c per unit). Figure 6 shows that the losses are greatly reduced
while Figure 7 shows that the level of recycling is similar to that in Figure 4
without the dip caused by the entry of the lower priced competitor. If the
recycling can generate a profit, the council may be able to break even or make
a slight profit overall. This option also delivers a lower price to the
resident (68c per unit) than the competitive model (88c per unit). The moral is
obvious: the council’s break even model is better for the residents than the
competitive model.
Fig
6: Council Profit - restricted price increase |
Fig
7: New mix of recycling and collection |
A number of other policy
options emerged: transfer a share of the cost of recycling to the by forcing it
to collect recyclable garbage; abandon the policy of free recyclable
collection, impose some charge and be prepared to wait longer to optimize
recycling; abandon the policy of privatization and continue to use local taxes
to achieve socially desirable outcomes in garbage collection. Another set of
dynamics was also discussed. The shire was predominantly suburban
but included rural properties where the costs of collection were higher. The
competitor was able to
“skim” the more lucrative suburban market, with the council left
with the obligation to maintain its service to the rural market. This cross
subsidization exacerbated the problems of declining council profitability.
While the council operation must maintain policies of recycling and servicing
unprofitable rural areas, it was unable to compete on an equal basis.
The exercise proved to be a simple but clear demonstration of the
counter-intuitive nature of policy. It was also a demonstration to the
participants that a deep understanding of the dynamics of policy decisions
cannot be made without the aid of systems thinking and system dynamics
modelling.