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Revisiting the Role of PPPs in the Power Sector
Results from the ESW tasked managed byMaria Vagliasindi,
Lead Economist, Energy Anchor,World Bank
Prepared for the Workshop held on 9 June 2011,World Bank,
Washington DC
Outline
1. Background
2. Analytical Approach and Data
3. Determinants of PPPs
4. Emerging results
5. Policy Implications
0
20
40
60
80
100
120
140
160
1995 2000 2005 2009 2010
Electricity projects with private participation in developing countries by quarter, 1995–2010 Q1
1st Q 2nd Q 3rd Q 4th Q
Asian crisis
Russian
crisis
Argentine
and Brazilian
crisis
Global
financial
crisis
Background: Overview of the global financial crisis
& comparison with past financial crises
• Reduced energy demand
• Deterioration in revenue collection and
reduced access to finance
• Gov’t response to crisis
• Pre-existing financing challenges
How does the financial crisis affect the financing gaps?
• Impact of the financial crisis on BAU emissions
• Estimates of mitigation related additional
investment in energy sector
• Adaptation
How do climate change considerations affect investment needs?
• In period of crisis
• For climate change mitigation
• Phasing out energy subsidies
Sources of financing
Background: Climate Change Implications
The adoption of the Kyoto Protocol marked the start of a period of strong
exponential growth in mainstream renewable energy investment
internationally, only slowed downed by the global financial crisis.
Source: Bloomberg New Energy Finance
Background (ctd)
The feed-in tariff policy has already been implemented in about 80
states and countries around the world, more than half of which are
developing economies
Source: REN2011
Background (ctd)
There has been an exponential growth in the number of autonomous
regulators among developing countries from less than 10 in 1995 to
about 60 in 2008
Cumulative number of autonomous regulators
World oil crude prices, annual trends in real terms (1861-2010)
Background (ctd)
Boom/bust price shocks have been a feature of oil history
Our research presents the new global evidence on the key determinants of PPP investment in electricity) based on a panel data analysis for 105 developing countries including 16 years from 1993 to 2008.
This research aims at determining the evidence of the effectiveness of sectoral support mechanisms such as feed-in tariffs for attracting private investment in renewables and regulatory governance in T&D. We divide the determinants of PPPs into (sectoral and economy-wide) governance variables and short and long run drivers, represented respectively by financial crises and climate change variables. We also control for macroeconomic and regional variables.
Analytical Approach and Data
1) PROBIT ANALYSIS
Introduction of private sector investment in electricity (Generation, Transmission &Distribution)
of which Investment in Generation only
of which Investment in Renewables only
of which Investment in T&D
of which Investment in D only
of which Investment in T only
2) HECKMAN
Total private (committed) investment in electricity (Generation, Transmission &Distribution)
of which Investment in Generation only
of which Investment in Renewables
of which Investment in T&D
Analytical Approach and Data
EXPLANATORY VARIABLES
SHORT TERM AND LONG TERM FUNDAMENTALS
SECTORAL GOVERNANCE VARIABLES
Introduction of feed-in tariffs (for generation)
ECONOMY WIDE GOVERNANCE VARIABLES
Price of Oil, Kyoto Protocol
ENVIRONMENTAL SUSTAINABILITY
Control of Corruption, Degree of Political Competition
MACROECONOMIC CONTROLS
GDP per capita, Population
FINANCIAL CRISES
East Asian and Latin American Crisis
REGIONAL CONTROL
Regional dummies
Analytical Approach and Data
Trends in PPP Investment over time
World Bank/PPIAF Private Participation in Infrastructure (PPI) Database
The trends over time in PPP investment among developing countries
confirms the exponential growth recorded at a global level following the
adoption of the Kyoto Protocol and the introduction of support schemes,
particularly feed-in tariffs. The past financial crises, notably the East Asian and
Russian crises in 1997-1998, as well as the most recent Latin American crisis in
2001, negatively affected PPP investments
Empirical Hypotheses
Hypothesis 1.GEN (T&D) The likelihood of attracting private investors to
provide electricity from renewables (T&D) is higher in countries where support
mechanisms, including feed-in tariff, (regulatory agencies)have been put in
place. The level of investment in renewable-based energy (T&D)is expected to
be higher in countries using such incentives (introducing regulatory agencies).
Hypothesis 2 The likelihood of attracting private investors to provide electricity
from renewable-based energy is higher in countries characterized by higher
standards of economy-wide governance and a higher degree of political
competition.
Hypothesis 1.b Countries that have attracted more private investment in
transmission are also better prepared to integrate renewables in their system
and hence more likely to attract higher investment in renewables.
Hypothesis 3 Countries facing severe financial crises are less likely to attract
new PPPs and to receive PPP investment from existing PPPs in the years
immediately following the crises.
Hypothesis 4 Countries characterized by higher income and size of the
market are more likely to attract PPPs and a higher volume of investment.
Hypothesis 5 (GEN) Developing countries are more likely to attract and
retain more investment in years following the entry into force of the Kyoto
Protocol due to the rise of climate change up in the political agenda.
Hypothesis 5 (GEN, T&D) Developing countries that have attracted more
private investment in transmission are better prepared to integrate
renewables in their system and hence more likely to attract higher
investments in renewables (& viceversa).
Empirical Hypotheses (ctd)
GEN REN T&D T D
SECTORAL GOVERNANCE VARIABLES
Introduction of feed-in tariffs +*** + ***
Electricity regulation + *** + *** + ***
ECONOMY WIDE GOVERNANCE VARIABLES
Control of Corruption wgi_cc + *** + ***
Degree of democracy Polity2 + *** + *** + *** + ***
MACROECONOMIC CONTROL
GDP
ln_GDP+** + + + +
Population
ln_Pop+ *** + *** + *** + *** + ***
LONG RUN CLIMATE CHANGE
PPP Investment in Transmission + *** + ***
PPP Investment in Renewables + *** + *** + ***
Price of Oil _ *** + ***
Kyoto Protocol + *** + ***
Price of Oil*Kyoto Protocol + ***
Summary of Analytical Evidence (Probit)
TOT GEN REN FF T&D
SECTORAL GOVERNANCE VARIABLES
Introduction of feed-in tariffs FIT + *** +***
Regulation + ***
ECONOMY WIDE GOVERNANCE VARIABLES
Control of Corruption wgi_cc
Degree of democracy Polity2
MACROECONOMIC CONTROL
GDP + ** + ** + ***
Population
ln_Pop+ *** + *** + ***
LONG RUN ENVIRONMENTAL SUSTAINABILITY
PPP Investment in Transmission + ***
PPP Investment in Renewables + ***
Price of Oil _ ** + *** --**
Kyoto Protocol + *** + *** -***
Price of Oil*Kyoto Protocol + ***
Summary of Analytical Evidence (Heckman)
Two step (1) Two step (2) (3) (4)
GOVERNANCE VARIABLES
SECTORAL GOVERNANCE VARIABLES
Introduction of feed-in tariffs FIT
First step in red
0.519**
(0.276)
0.297*
(0.171)
0.653*
(0.298)
0.624
(0.298)
PPP Transmission Investment First stage in red
0.003***
(0.001)
PPP Investment in Transmission and Distribution (ln)
0.105*
(0.058)
0.111**
(0.054)
ECONOMY WIDE GOVERNANCE VARIABLES
Control of Corruption wgi_ccFirst step in red
0.419*
(0.244)
0.351***
(0.101)
Degree of democracy Polity2First step in red
0.016***
(0.010)
0.013
(0.010)
MACROECONOMIC CONTROL
GDP per capitaln_GDP/cap
0.817***
(0.250)
0.651***
(0.243)
0.751***
(0.213)
0.661***
(0.215)
Populationln_Pop
0.337***
(0.079)
0.255***
(0.084)
0.276***
(0.084)
0.210**
(0.090)
Key Determinants of the PPP Investment in Electricity Renewable based Generation
LONG RUN CLIMATE CHANGE
Kyoto Protocold_Kyoto
0.683**(0.304)
0.749***(0.301)
0.589**(0.318)
0.669**(0.318)
REGIONAL CONTROL
Regional dummies Yes No Yes Yes
Constant-7.745**
(3.361)-4.790(3.191)
-6.518***(2.559)
-4.443***(2.664)
N 726 726 164 164
Censored N 566 566
Wald χ2 61.61*** 62.41*** 65.23*** 70.92***
Within R2 11.43 12.59
Between R2 46.25 49.15
Overall R2 29.76 31.67
Key Determinants of the PPP Investment in Electricity Renewable based Generation (ctd)
Key Results
Better control of corruption and higher degree of political competition are crucial in attracting the entry of private investors, but they do not affect the extent of investment in the presence of substantial sharing of risks between the public and private sector..
Investment in renewable-based energy has been significantly affected by the signing of the Kyoto Protocol.
The sectoral support scheme, provided by feed-in tariffs (regulation), instead, affect both the entry and the level of investment in renewable-based energy, though they became much less significant (insignificant) when it comes to determine the amount of investment.
The market for renewable-based energy is strongly driven by supportive
policies. Support policies serve not only to attract the entry of private investor but
also to determine the level of investment.
In contrast, broader economy-wide governance factors, including control for
corruption and degree of political competition, are considered by private investor
mainly for taking the decision to enter into renewable-based generation.
Private investors in renewable-based energy also require technical and
regulatory certainty about the availability of renewable-ready transmission
resources, if they are to finance investments.
Private investors entering the market looks more at the size of the market
rather than the income level, whereas when determining the level of investment
they assess both the size and “affordability” level.
Short run financial crises also affect more the decision to enter the renewable
market rather than the level of investment, proving the resilience of renewable-
based energy to such shocks.
Policy Implications
Changes in the level and composition of investment can be particularly drastic if
a move toward low carbon solutions is implemented through an increasing
proportion of renewable energy..
Investments in renewable energy typically have higher upfront capital costs than
conventional power generation, but lower operational costs (wind and solar, for
example, do not have a fuel cost or fuel price volatility to manage).
The higher costs and risk mean that companies particularly in the private sector
will not be willing to undertake investments in renewable generation, unless they
are required to or offered economic and financial incentives to do so. The price
support mechanisms need to be structured in such a way as to reward the most
efficient renewable energy suppliers and to give them an incentive to reduce costs as
rapidly as possible
Policies that support renewable energy use either price or quantity setting
instruments. Of the different options to support renewable energy, feed-in tariffs
is increasingly seen as the “policy of choice” to attract private investment in
renewable energy. Under a feed-in tariff scheme, electric utilities are obliged to
purchase renewable energy through long term contracts that guarantee access to the
grid, at an enhanced price (the so called feed-in tariff).
Case studies: a focus on RE Support mechanisms
It is difficult to strike the right level of feed-in tariff.
Low feed-in tariff may not trigger enough investment inrenewable-based energy.
High feed-in tariffs, though, also have a negative effect on costreductions as they induce generators to choose high-cost sites andprovide fewer incentives for cost cuts. This illustrates theimportance of designing an efficient energy support system, whichnot only promotes diffusion but also provides continuousincentives for cost-reducing innovations.
• The rapid expansion of the Spanish solar PV and subsequentintervention to contract the market in 2008 (capping overall marketsize, alongside a 30% cut in the tariff) has been attributed as muchto tariff design as to unsustainably high levels of tarifss.
• In contrast, Germany prescribed stepped tariff reductions(degressions) and has produced steadier growth.
Case studies: a focus on RE Support mechanisms
-Decree 1002 introduced auctions as way of incorporating RE to the electricity grid.
-Penetration of 5 % of RE
-Price is passed-through to consumers
-Incentives:
1) Preferential treatment to access the grid
2) Tariff stability: the investor is guaranteed a fixed price during the 20 years of the length
of the contract
HYDRO50%
BIOMASS, SOLAR, WIND50%
Required capacity 1st auction
70%
19%
7% 4%
Quotas 1st auction
HYDRO BIOMASS
Auction in Peru
-Not all the quotas were covered, as a
results the regulator made a 2nd call (only
45 % of the total was covered)
- From an efficient perspective, the auction
was successful as final prices were lower
than the price fixed by the regulator
- Average price was twice the price of
electricity generated from conventional
sources
MINIMUM
PRICE
OFFERED
MAXIMUM
OFFERED PRICE
AVERAGE
OFFERED PRICE
BASELINE PRICE
FIXED BY THE
REGULATOR
% OF OFFERED
PRICES
BIOMASS (Ctv
US$/kWh)5.2 11 6.35 12 -47%
WIND (Ctv
US$/kWh)6.55 8.7 8.04 11 -27%
SOLAR (Ctv
US$/kWh)21.5 22.5 22.11 26.9 -18%
HYDRO (Ctv
US$/kWh)5.5 7 6.03 7.4 -18%
Auction in Peru
FEED-IN TARIFFS (PROINFA) - discontinued
Designed to contract 3,300 MW of wind, biomass, and small hydro until 2006
Each RE has a different tariff and quota of 1,100 MW
Energy is purchased by ELETROBRAS through a 20 years contract; the company resells the
energy to all consumers in proportion to actual consumption
DISCOUNTS:
Discounts on transmission and distribution for non-regulated consumers who purchased RE
Discounts are authorized by the regulator; they’ve been in the order of 50 %
Discounts are economically more attractive for some types of small scale developers than
auctions (auctions result in low prices)
Criticism: it introduces a market distortion due to the fact that the incremental cost is
subsidized by regulated consumers. Beneficiaries are generators and free consumers
AUCTIONS
Technology and project specific auctions
Reserve energy auctions: increase reserve margin and ensures security supply
Brazil: Support Mechanisms for RE
PROINFA RESERVE ENERGY AUCTION
MW GWh US$/MWh MW GWh/year US$/MWh
WIND 1423 3740 154 1800 6596 80
SMALL HYDRO 1191 6260 96 - -
BIOELECTRICITY 779 2662 77 2379 4800 84
PROINFA RESERVE ENERGY
AUCTIONS
TOTAL CAPACITY (MW) 3,393 5,179
TOTAL ENERGY (GWh/year) 12,661 11,397
AVERAGE COST (US$/MWh) 109 80
TOTAL COST (million US$/year) 1,381 911
NET IMPACT ON TARIFFS
(US$/MWh)3.8 1.6
IMPACT ON COSTS
Source: Barroso, 2011.
Brazil: Auction vis-a-vis feed-in tariffs
Brazil: Auction vis-a-vis feed-in tariffs (ctd)
0
50
100
150
200
250
300
350
400
450
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2010
MW
h
Wind energy generation in Mexico
OPEN SEASON
0
200
400
600
800
1000
1200
1400
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
GW
h
Wind generation in Brazil
Source: EPE, 2011.Source: EPE, 2011.
Exponential growth in wind
Feed in Tariff could be depicted as a RPI-X regulation instrument, which
seems to work well if project developers have a well-defined task and
interact in competitive markets such that their profit evolution can be easily
observed in order to set future Feed in Tariffs.
If sites with differing levels of wind penetration are to be developed, then
a resource-based differentiation of the tariff prevents owners of high
wind sites from capturing large scarcity rents.
Private investors in renewable-based energy also require technical and
regulatory certainty about the availability of renewable-ready
transmission resources, if they are to finance investments. The traditional
reactive model of transmission regulation that has been used in the past,
where transmission has been developed on a first-come, first-served is not
conducive for renewable-based energy, as it introduces extensive regulatory
and technical uncertainty about whether adequate transmission will be
available once the resource is generated, and transmission distances for
renewable-based energy can be large.
Conclusions and policy implications
Thank you!