economic regulation of ppp contract in the water...
TRANSCRIPT
Economic Regulation of
PPP contract
in the water sector
Case study
Maria Salvetti
Sherer (1980):
A natural monopoly exists when economies of scale are so substantial
that a single firm can produce total market output at a lower unit cost,
and thus more efficiently than two or more firms.
→ Marginal cost < Average cost
Natural Monopoly Definition
Demand (water sold)
Mean cost
Marginal
cost
Price
Quantity (water volume, thousands m3)
Natural monopoly considered as a market failure
How to organize natural monopolies market/companies to gain advantages of
production by a single firm (economies of scale) while minimizing the
disadvantages resulting from non-competitive market?
Potential conflict between cost-efficiency and competition
More competition = more cost-efficiency but loss of economies of scale
Public intervention is required:
on the ground of economic justifications
on the ground of social/political justifications.
Natural Monopoly Characteristics
Monopoly price dilemma:
- Monopoly price is not efficient as it is set higher than the marginal cost which
leads to abstraction of monopoly rent
- Forcing the natural monopoly to sell at efficient price (i.e. marginal cost) leads to
negative profits (Cm<Ca)
Avoid abstraction of
monopoly rent and
allocative inefficiency
→ Public intervention is required to address this market failure situation and help
settle this pricing dilemma…
Why regulate NM?
Demand (water sold)
Mean cost Margin
al cost
Price
Quantity (water volume, thousands
m3)
Other reasons justifying NM regulation
X inefficiency: internal efficiency, cost minimization.
In a competitive environment (pressure from competitors), incentive to reduce costs
to obtain higher profits. In a monopoly situation, lack of incentive.
Technical progress: no incentive to promote technical change and invest in R&D.
Due to its protected position, monopoly would not fear that a rival will promote
products and production methods and would therefore not be driven to innovation.
Why regulate NM?
Competition for the market:
Create competition between firms for the right of exclusive supply over a
limited period, namely a franchise solution (Demsetz).
Such competition for the market (i.e., the right to be the natural monopolist)
may be an adequate substitute under some circumstances, where competition is
not possible within the market.
Monopoly franchises could be auctioned off to the bidder offering the most
attractive terms.
Limits: advantages (experience, knowledge, reputation…) to the incumbent
compared to the outsider bidder
Alternatives to Regulation
• Contract regulation: price & performance
– Set a price to avoid monopoly rent
– Set a level of performance/quality required to
avoid inefficiency
• Issues: asymmetry & capture of information
Economic regulation targets
Price Regulation
Cost-based, price-based,
revenue-based tariffs and
additional methodologies
Price regulation
Regulating the price: 2 broad types of methodologies
1) “cost-plus-fair rate of return” regulation method (cost based)
Tariff is calculated to cover the regulated firms’ operating costs, plus a
rate of return on the investment.
Prices are adjusted to keep the company’s rate of return on capital at a
constant level.
If the company’s rate of return falls below that level, the regulator allows
prices to rise.
Used in the USA & transferred to other countries (ex:
telecommunications sector in Philippines)
RoR = (Revenues – Opex)/K ≤ x%
price ≤ Opex + (x%*K)/volume
Revenues – Opex: net profit
K: capex or initial asset base (stock of capital)
x%: limit set by regulator
Regulating the price: 2 broad types of methodologies
2) “price cap” regulation method (price based)
Prices rise according to “RPI-X” formula: tariff increases by the increase
in the retail price index adjusted by efficiency factor “X” to account for
expected productivity gains & other changes.
Company has incentive to lower costs, since it keeps the resulting
profits, at least for a designated period.
When tariffs are revised, a share of productivity gains can be passed on
to consumers.
It emerged during privatization of UK utilities in mid-1980s, also used in
countries such as Argentina, Brazil & Chile.
Pt = (1+ RPIt – X)*Pt-1
Price regulation
Additional price regulation methodologies
“Earning sharing”
Explicit sharing of extra-earnings
between operator & consumers above threshold
“Revenue sharing”
Scheme more incentive than earning sharing
“Hybrid model”
Possibility to remunerate investment according
to their nature (supply or demand side) = use different rate Ř (rate for
demand investment > rate for supply investment, long term risk)
Earnings = Revenues – Opex
Earning sharing = (Revenues – Opex)*rate (%)
Revenue sharing = (Revenues*rate %) – Opex
Price = č*(1+RPI-X) + Ř*Capex č : cost fct, average of costs
of companies in the sector
Ř: rate for RoR
Price regulation
Case Study – Contractual Regulation
SEDIF PPP contract
Syndicat des Eaux d’Ile-de-France
• Founded in 1923 to produce and deliver drinking water
• SEDIF today :
– Covers 142 cities located on the outskirts of Paris
– Supplies 4 million customers
– Produces 250 millions m3/yr (685 000 m3 distributed/day)
• Main assets :
– 3 water treatment plants
– 48 relay plants
– 8 700 kilometres of pipes
Delivery
territory
Primary
Network
SEDIF organisation
• Committee with 142 representatives from municipalities
– Gathers 3 times/yr
– Elects a President and 11 Vice-presidents (The Board)
• Make decisions with regard to :
– The price of water: 1.74 € excl. taxes/m³ (2010)
– Budgetary allocations (581 M€)
o Investments scheduled : 200 M€/yr
o Operation and maintenance : 357 M€/yr
– Supervision of operator: 90 employees
– Operation (Veolia Water): 1,100 employees
PPP contract
• Previous operating contract with Veolia Water
signed in 1962 ending on Dec. 31st 2010.
• Operator in charge of :
– Production and distribution
– Monitoring and maintenance
– Controlling water quality
– Customer service
PPP contract
Sedif
Responsible
authority
Private
company
operator
Water service customer
Investments
Operation
Invoice
Contract
• New contract signed with Veolia Water for 12 years
(2011-2022) to manage & operate SEDIF water service
PPP contract
• Describe how economic regulation & performance have
been included in the contract
Through two examples: price revision formula
operator remuneration
Price revision formula
Price revision formula: Rn = R0 x CRTn R0: price on January 1st 2011 Rn: revised price CRTn: price revision coefficient defined as follows
CRTn = (1-Pn) x ( a + b + c + d + e ) a, b, c, d, e: coefficients with (a+b+c+d+e)=1 Pn: productivity
Ind.1
Ind.1
0
Ind.2
Ind.2
0
Ind.3
Ind.3
0
Ind.4
Ind.4
0
Generic comments:
Reduced number of indexes compared to previous contract (8 to 4)
Choose 4 indexes among the proposed ones: ICHTTS1 (wages), EMT
(electricity), TP10A (works in water/sanitation sectors), FSD3 (various costs), PCIB (chemical
products), EM (mechanic equipment)
Indexes have to be easy to follow, long lasting
CRTn = (1-Pn) x ( a + b + c + d + e )
Elements of economic regulation within the price revision formula
1) Coefficients and indexes should
describe & match the service
opex structure; hence price revision
& evolution will properly
reflect opex evolution control
over price evolution
Ind.1
Ind.1
0
Ind.2
Ind.2
0
Ind.3
Ind.3
0
Ind.4
Ind.4
0
Indexes Coefficient matching SEDIF opex structure
Coefficient proposed by Operator
ICHTTS 0.4 0.39
FSD3 0.3 0.25
EMT 0.04 0.06
TP10A 0.11 0.15
2) 9 price variation “meet up” clauses stated in the contract...
Price revision formula
9 price variation “meet up” clauses stated in the contract :
• Every three years
• If the average water volumes sold over the past three years varies from
more than 4% (excluding bulk volumes)
• If the scope of the contract varies, as the operator remuneration formula
will have to reflect this change
• If applying CRT induces a variation of more than 4% of the water price
• If there is a substantial change in the infrastructure, in the water treatment
processes or in the service operation conditions
• If there is a substantial change in the service operation conditions due to a
change in legislation
• If there is a substantial change in the service statutory rules
• If one of the four indexes varies from more than 20%
• If the overall remuneration of the operator is caped according to the
present contract conditions for more than 4 years in a row
Price revision formula
CRTn = (1-Pn) x ( a + b + c + d + e )
Elements of economic performance within the price revision formula productivity gains required from operator 1) Pn = 0.75% from the 4th year of the contract onwards
2) Coefficient “a”
Neutrality coefficient used to neutralise a certain proportion of opex:
Former Sedif contract, “a” = 0.1 neutralisation of 10% of opex
New Sedif contract, “a” = 0.15 neutralisation of 15% of opex
Ind.1
Ind.1
0
Ind.2
Ind.2
0
Ind.3
Ind.3
0
Ind.4
Ind.4
0
Price revision formula
Operator overall remuneration: fixed part + variable part, caped at 9% 1) Fixed remuneration: 2% of revenues from water volumes sold (incl. bulk) 2) Variable remuneration calculated on basis of operation balance as follows: “Operation incomes – opex – fixed remuneration” = Operation balance - fixed remuneration If balance is negative, operator does not receive any variable remuneration
Elements of variable remuneration
Share in variable remuneration
Purpose of variable remuneration
Service quality 40% Performance
Opex management 40% Regulation, performance
Share on remaining operating balance
20% Incentive
Variable
remuneration
Operator remuneration
Opex management
“k” accounts for & reflects:
Productivity gains (Pn)
Control of variable & fixed costs evolution (CV and CF) compared to
variable & fixed reference costs (CRCV and CRCF) as defined in the contract
The formula takes into account a correction by the volumes (V) for variable costs
k>= k<
<0.9875
0.9875 0.99
0.99 0.9925
[…] […]
1.0075 1.0100
1.0100 1.0125
>1.025
Share o/
remuneration for
operator
Share o/
remuneration for
SEDIF
100% 0%
90% 10%
78% 22%
[…] […]
14.3% 85.7%
7.1% 92.9%
0% 100%
Remuneration is
shared between
SEDIF &
operator
depending on
the value of “k”
Operator remuneration
Cn
k=
(1-Pn) * [(CRCF réf * CFn) + (CRCV réf * CVn * (Vn/V0))]
Operator remuneration
Service quality
3 elements of service quality performance taken into account:
performance of the customer service
performance of the technical management of service
performance in terms of sustainable development
For each of these 3 elements of service quality performance:
several indicators are defined & account for operator remuneration
targets & thresholds are set for these indicators
if targets not reached & thresholds not met by operator, penalties to be
paid
Indicators for performance
of the customer service
CRTn = (1-Pn) x ( a + b + c + d + e )
Pn = 0.75% from the 4th year of the contract onwards
Ind.1
Ind.1
0
Ind.2
Ind.2
0
Ind.3
Ind.3
0
Ind.4
Ind.4
0
Year Value for n Value for P
2011 1 0
2012 2 0
2013 3 0
2014 4 0.75%
2015 5 1.50%
2016 6 2.25%
2017 7 3%
2018 8 3.75%
2019 9 4.50%
2020 10 5.25%
2021 11 6%
2022 12 6.75%
Price revision formula
Customer service – Performance
indicators Indicator - definition Period Target Points for
remuneratio
n
Penalty
threshold
Penalty amount
Nb of written claims /1000 customers Monthly Yearly <3 5 5 1000€ per bracket of 0.1 (N/A if collective claim)
% of answers to letters/mails received
within 8 working days
Monthly Yearly 99.5% 5 98% 1000€ per bracket of
0.1%
% of answers to written information
request on water quality within 48h
after reception
Monthly Yearly 99.5% 5 98% 1000€ per bracket of
0.1%
Subscription/termination taken into
account within 24h on working days
Monthly Yearly 99.5% 5 98% 1000€ per bracket of
0.1%
% of connection quote requests
answered within 8 working days
Monthly Yearly 99.5% 10 98% 1000€ per bracket of
0.1%
% of water intake analysis results after
written claim within 48h
Monthly Yearly 99.5% 5 98% 1000€ per bracket of
0.1%
% of emergency intervention within 2h
after customer call
Monthly Yearly 99.5% 10 98% 1000€ per bracket of
0.1%
% of appointments within a 2h time slot Monthly Yearly 99.0% 10 95% 1000€ per bracket of
0.1%
Certification of customer service
centre
Yearly Certification 0 Loss of
certification
500,000€ if loss or no
certification
Average rate of phone pick up (excl.
exceptional circumstances)
Monthly Yearly 40 sec. 15 60 seconds 1000€/sec.
Rate of unmissed calls (excl. exceptional
circumstances)
Monthly Yearly 90% 15 85% 10,000€/missing %
Rate of recall after message on Monthly Yearly 99% 10 95% 5000€/missing %
Thank you