Volume 2, No. 2 February
2023 - (161-180)![]()
p-ISSN 2980-4868 | e-ISSN 2980-4841
https://ajesh.ph/index.php/gp
MAXIMIZING AUCTION
RESULTS IN THE FORM OF FREQUENCY SPECTRUM
Doni Triono*,
Ratna Amalia Aziza
State Financial Polytechnic STAN, Indonesia
Emails: dony_triono@pknstan.ac.id,
4302180113_ratna@pknstan.ac.id
ABSTRACT:
Auction Theory developed by Paul Milgrom and Robert Wilson is an innovation in the world of
auctions, especially for intangible auction objects such as the frequency
spectrum. Auction Theory plays an important role in providing the main idea
regarding how frequency spectrum auctions are executed so that it can help
generate optimal state revenues and allocate these limited natural resources
into the hands of the right third-party companies. This analytical study aims
to find out how the auction theory developed by the two figures works in
auction practice, which mainly highlights how the theory solves several
frequency spectrum auction problems so that it can be used as a basis for reference
in setting frequency spectrum auction policies in Indonesia.
Keywords: Auction,
frequency spectrum, auction theory, optimization, auction mechanism design,
bidding competition policy.
Article History
Received : 01 February 2023
Revised : 06 February 2023
Accepted : 26 February 2023
DOI :
10.xxxxx
INTRODUCTION
Auctions
have been used in almost all aspects of the economy. One element of the auction
that is important is that the government or stakeholders can include a number
of policy settings to discipline the public sector in making decisions, as has
been implemented in Indonesia, the mandate related to the implementation of
frequency spectrum auctions is stated in Government Regulation Number 46 of
2021 concerning Post, Telecommunication, and Broadcasting Article 50 Paragraph
4 that cooperation in the use of radio frequency spectrum is one of them implemented with the aim of meeting the needs
of the national interest. The use of such radio frequency spectrum is
manifested by related companies that have carried out a series of selection
processes. One of them is as mentioned in the Regulation of the Minister of
Communication and Information Number 2 of 2006 Article 3 Paragraph 2 that: "The
determination of radio frequency spectrum in the 2.1 GHz radio frequency band
to the selection participants of the IMT-2000 mobile mobile
network operator was carried out through an auction mechanism."
However,
auctions may not proceed in accordance with the objectives and desired end
results in a policy setting. Basing on this, Paul Milgrom
and Robert Wilson made new discoveries about improved theory and a more
suitable auction format. In short, there is no perfect auction design that can
be applied to all problems and conditions of auction objects. In the process of
thinking about how auctions should work under certain conditions, policymakers
must take into account all kinds of specific contexts such as how appropriate
auction rules and mechanisms will be applied in that situation, based on the
following information: What determines the value of the object to be auctioned,
the type of information obtained by the bidder, and what uncertainty the bidder
will face.
Other
problems will arise if bidders find loopholes and ways to signal other bidders
to hold prices not too high. Paul Klemperer again provides a case in point in a
multilicense US spectrum auction in 1996-1997. At the
time, the U.S. West company was competing with McLeod's company for the object
with lot number 378: licensed in Rochester, Minnesota. Most of the bid prices
in those auctions ended up in the thousands of dollars. However, in contrast to
West's U.S. bid, which expired at $313,378 and $62,378 for two licenses in
Iowa, the company had previously shown no interest in anything. In that case,
U.S. West exceeded McLeod's offer, which had been the high bidder for the
license before. McLeod eventually got the signal given by the U.S. West company
and ended up exiting the auction market. The signal comes from U.S. West's bid
price ending at 378, which is the lot number on which U.S. West wants McLeod to
withdraw.
Another
well-known problem in the conduct of auctions is 'the winner's curse' which was
first documented in the context of bidding by companies for oil leases.
Analysis of the auction results for oil land leases managed to find the fact
that the winners of this auction on average lost money. Some companies are more
optimistic than others, and it is the most optimistic companies that are most
likely to bid very high and win the auction by including new consequences,
namely losing money because their bid prices are too high compared to other
bidders. Once bidders in an auction realize the risk of 'the winner's curse',
they become so reluctant to bid, that bids no longer represent an estimate of
their true value.
Figure 1. Illustration of The Winner's Curse

Source: Johan Jarnestad/The Royal Swedish Academy of Sciences
That's how
auction bidding ends up being affected by many factors that might reduce the
sellers' final profits, which could eventually also lead to losses for auction
winners, create inefficiencies in the allocation of funds, or even harm public
goods. If the auction is still using the old method, namely by selling goods to
the highest bidder the amount of the price they bargained, for example,
electricity generation or distribution is auctioned off to the bidder who bids
at the highest price, electricity bills for each household and office will
rise.
Based on
the background description of the problem above, the author conducts analysis
and synthesis to find out how the auction should be carried out, especially for
frequency spectrum auctions which are limited natural resources of countries
whose allocation needs to be paid more attention to by the government, in order
to achieve optimal targets for the interests of the wider community. This
analysis focuses on auction theory and solving various problems related to
frequency spectrum auctions initiated by Paul Milgrom
and Robert Wilson in the book "Putting Auctions Theory to Work".
RESEARCH METHODS
Type of
Data The method used is the literature study method. The literature study in
this study is in the form of a book synthesis that displays information related
to background and theoretical studies as support in the discussion.
Data Source
The data needed in the preparation of this final project research include:
1.
The book "Putting Auction
Theory to Work" by Paul Milgrom and Robert
Wilson. The selection of this book is based on the purpose of research that
discusses the auction theory proposed by the two figures which will then also
be synthesized by researchers;
2.
Various laws and regulations,
books, or literature related to the implementation of auctions, especially
frequency spectrum auctions in Indonesia. The selection of sources is based on
the purpose of research that discusses how frequency spectrum auctions are
carried out in Indonesia;
3.
Information related to possible
obstacles will occur in the application of Paul Milgrom
and Robert Wilson's auction theory in Indonesia obtained from researchers'
hypotheses based on facts, both in laws and regulations, previous events, and
real circumstances.
RESULTS AND DISCUSSION
A.
Auction Theory by Paul Milgrom and Robert Wilson in Their Role in Solving Some
Problems Related to Frequency Spectrum Auctions
Paul Milgrom and Robert Wilson are economists from the United
States who received the Nobel Prize in Economics in 2020 for introducing
auction theory and developing new auction procedures. These two figures created
a new auction format that aims to facilitate the sale of items that do not have
a physical form, such as the frequency spectrum. The question of auction theory
initiated by the two figures then arises, the answers of which can be
summarized in the following two questions:
1. How
bidders behave in the case of auction formats under different auction
conditions?
2. How the
auctioneer can choose the format of the auction and apply the rules that best
suit its purpose?
To
approach the first question, what needs to be understood is about what kind of
auction might occur. As for the second question, what needs to be seen is that
the purpose of the auctioneer can vary greatly. It could be that they want to
maximize their profits, or it could be that they aim to achieve optimal public
social welfare.
1.
The Simplest Standard Auction
Before entering the discussion
related to Paul Milgrom and Robert Wilson's auction
theory, researchers will start by discussing the simplest auction designs. The
simple auction in question is a standard auction with the highest bid price as
the winner and the bidder is also entitled to receive the auction object.
Examples of non-standard auctions are all auctions that use reservation prices
or lottery games. The most simple and well-known auctions (single object) are:
a. Dutch or
Clock Auction
The auction begins by announcing
a very high price and is gradually lowered little by little until it becomes
the right price for one of the bidders. The bidder shows the accuracy of the
price according to them by raising their hands, for example. This will end the
auction and the winner of the auction is the raised hand bidder who must pay
the valid price when the auction ends. In this way, more than 20 million
flowers are marketed in the Netherlands every day, which is why it is called
Dutch Auction.
b. English
Auction
Unlike the previous mechanism,
the British auction starts at a price so low that many bidders will buy the
auction object at that price. Then the price is gradually increased with a
specified rate of increase. If the price becomes so high that it is no longer
acceptable to the bidder, the bidder will withdraw from the auction. They
demonstrate this by lowering their hands, for example. The auction ends when
there is only one bidder left. The winner of the auction is the sole bidder,
and must pay the prevailing price at the end of the auction. The root of the
word "auction" probably comes from the Latin verb "augere" (increase) which suggests that English
auctions may have been known in the era of the Roman Empire as well. Art
auctions, also known from movies, such as auction house Sotheby's, also work
this way. This is why this method is called a British auction.
c. First
Price Closed Offer
Bidders place their bids in
sealed envelopes, which means that the players in the auction have no
information about the bids of each bidder, and with that, the auction ends.
After the opening of the bidding envelope, the bidder who submits the highest
bid is the winner of the auction so that it will acquire the object and must
pay the bid amount.
d. Second
Price Closed Bid or Vickrey Auction
This method is quite identical
to the auction of the first price closed bidding, except about the obligation
to pay. The winner of the second price closed bid auction is not obliged to pay
his own bid, but rather the second highest bid price after the price he bid.
Table 1.
Different Types of Auctions
|
|
Dutch
Auction |
UK
Auction |
First
Price Closed Auction |
Second
Price Closed Auction (Vickrey) |
|
Offer |
Increase |
Increase |
Increase |
Increase |
|
Availability of Information for Bidders |
Yes |
Yes |
No |
No |
|
Auction Winner |
First Highest Bid |
Last Highest Bid |
Last Highest Bid |
Last Highest Bid |
|
Price Paid |
Highest Price |
Highest Price |
Highest Price |
Highest Price |
Source: Processed by
Researchers
Of the four auction categories mentioned above, the
researcher examined them based on the following criteria:
1.
Who will be the winner?
2.
Who pays what amount?
In the above auctions, the object is won by the bidder
with the highest bid and they are the only paying party. Losing bidders are not
required to pay anything. The obligation to pay the highest bid price is
carried out in the Dutch auction and the first closed bid price auction.
Meanwhile, the obligation of bidders to pay a sum of the second highest bid
price submitted in one way or another is carried out in the English auction and
the second price auction. Hence from this point of view, the dutch auction and the first closed bid auction are
interrelated, and similarly for the English auction and the second closed bid
auction. Then, the next question is whether the dutch
auction can be regarded as exactly the same as the closed first price auction,
and by analogy the same for the english auction as
the closed bid second price auction.
1.
Bidder Appraisal Information
The researcher assumes that bidders will definitely think
rationally, which of course they have some evaluation of the object of the
auction, which then bids based on that assessment. How valuations can be formed
is well illustrated by the information gap between the UK auction and the
second price auction. In the English auction, the exiting bidders will
gradually announce their highest bid price. In the end, only one bidder's bid
price won, whose information was unknown to the other bidders. As for the
second price closed bid auction, of course no information can be obtained
during the auction process.
If you compare the dutch auction
with the first price sealed bid auction, during the auction process everyone
has at least an estimate of the bids of the other players. When the dutch auction ends, the winning bid price will be revealed,
but this information will be too late for the other bidders as the auction will
end. The question is whether or not this discrepancy in information feeds into
the judgments of individual players. Based on this, the researcher
distinguishes assessments:
a.
Nilai Privat (Private Values)
Private value is
when bidders, regardless of the influence of others, know how much the auction
object is worth to themselves. In another sense, none of the bidders knows and
is not even interested in the evaluation of other bidders on the object of the
auction. This is common when the auction object is used for personal gain, such
as in art auctions or bond issuance, because the use of an object is also
influenced by the secondary market and thus its value is highly dependent on
projected appraisals from other people. In practice, the most important factor
in supporting valuations for solar power companies for landowners is the number
of hours of sunshine on their land. This assessment will in no way be affected
by the assessment of other farm owners hundreds of kilometers from the site in
question. It should be noted that while spectrum frequency auctions are similar
to this, they are not. The frequency spectrum auction does have aspects of
private valuation, such as the necessary technological tools available to
everyone and market demand that can be estimated in a suitable way, but the
value of each frequency band is highly dependent on the frequency of the
contiguous area. In addition, companies that are bidders may have different
ranges of service providers and business strategies, so spectrum packages may
have different utilization values for each of them.
b.
Common Value (Common Values)
General value is an
assessment that does not only depend on the object being auctioned itself, but
also on the opinions of other bidders. Usually, this is a valuation case where
the value of the auction object depends on the value developed in the secondary
market. Valuation of oil fields, for example. It is impossible to know with
certainty the capacity of an oil field and estimating that capacity must also
be expensive. In this way, all the information obtained about capacities
becomes invaluable, and therefore by disclosing their judgments, the parties
involved in the bidding will influence each other. Based on private value
assumptions, the first closed bid auction can be identified with the Dutch
auction, and similarly, the researcher does not differentiate between the
second closed bid auction and the English auction. This is called strategic
equality, which roughly means that if the same bidder plays two types of
auctions with the same value, the identity of the winner and the profit
received by the auctioneer will be the same in both auctions.
2.
Multi-unit Auctions and Related Applications
In market practice,
the auction procedure becomes more common even in more complex cases where a
buyer wishes to purchase a larger quantity of a product or several related
products at the same time.
a. Shareable Items
If one or more
sellers want to sell large quantities of homogeneous products to several buyers
at the same time, then this is called a stock auction. The earliest application
of this is the market for public claims or debt, but the energy market (Wilson 2002), or, say, the market for fishing
rights (Bichler et al. 2019) can also be mentioned and linked to
this. In Wilson's (1979) article, he examines a model in
which customers can also provide their ratings for certain parts of a divisible
object. He examined two types of auctions. In one case, being in a conditioncommon price, whereas on the other
hand customers are allowed to pay different prices for the same amount of
product according to their offer. This suggests that, compared to a single
object market, market participants have more incentive to bid lower than their
actual valuations and are even more able to suppress the equilibrium price
through coordination.
b.
Indivisible and Interrelated Objects
One of Milgrom and Wilson's other most important findings was the
1994 FCC spectrum allocation auction (Bichler – Goeree 2017), which was based on a simultaneous
multi-round auction (SMRA, or simultaneous ascending auction, SAA). An improved
version is a combinatorial clock auction (CCA), in which buyers can also bid on
packaged auction objects. In the next sub-chapter, the researcher will explain
about the incentive auction that was first used in the 2017 FCC auction, in
which radio frequencies and TV operators were first purchased centrally and
then, after reallocating the remaining frequencies, the freed bands were sold
to cellular operators.
The next challenge
in a multi-unit auction is illustrated in the following case. Suppose the
spectrum is auctioned simultaneously in Northern and Southern California. There
may be a company that is only interested in buying frequencies in the South,
but there may also be another company that wants all of California coverage for
its services and therefore a one-part California license is of little value to
them. If a spectrum auction is announced for the entire US, those interested in
objects in much more complex packaged forms will show up. The allocation of an
auction object is said to be efficient if the combined evaluation of bidders
reaches a maximum point. This is a very basic problem, but on the other hand,
the income received by sellers is also an important consideration, especially
when it comes to government revenues, so it also plays a role in price setting.
However, the mechanism should continue to encourage buyers to disclose their
true valuation, ideally in a strategy-resistant manner, although bid prices
that are close to the actual or temporary estimates may also be satisfactory
when evaluating auction results. Finally, an important aspect is the simplicity
of the auction mechanism or design.
An example of the
problem is as follows. There is an apartment and a garage that the owners wish
to sell by auction, either together or separately. Three interested parties
come, namely buyer A who is only interested in the apartment and will give 43
million for it, buyer B is only interested in the garage and will buy a maximum
of 12 million, while buyer C will buy both 50 million but only for one
apartment and garage packages. An efficient allocation in this case is when
buyer A gets an apartment and buyer B gets a garage. Then the question that
arises next is how the auction can achieve efficient results and most
importantly, what price must be paid by the buyer.
1) VCG Auction.
This auction is based
on three theories from three different figures, namely Vickrey
(1961), Clarke (1971) and Groves (1973). Among them, Vickrey's work also won the Nobel Prize in 1996. In the
case of multi-unit auctions, the theory works as follows: any buyer can bid on
any package of objects. The solution for allocating auction objects to the bid
prices that occur will also be efficient for disclosing the judgments of buyers
because the mechanism individually encourages each bidder to disclose their
true valuation. Meanwhile, the price is determined as follows: each buyer pays
for the type of package they choose as much as the total utility of the other
bidders minus the type of package he chooses. In the previous example, buyer A
will pay 38 million, because the two objects are worth a maximum of 50 million
for buyer C, whereas without an apartment, the garage will be worth 12 million for
buyer B, so the difference between the two is the price for buyer A, which is
38 million. Likewise, it can be calculated that buyer B must pay 7 million for
the garage, which results from calculating the maximum value of the package
(apartment and garage) provided by buyer C of 50 million minus the value of the
apartment for buyer A, which is 43 million. So it is found that the seller's
total income is 45 million, resulting from the sum of the total prices paid by
buyers A and B. When compared to the previous settlement of this case, it can
be seen that the seller's income is less than 10 million, which also shows that
this is a deficiency of the mechanism VCG auction.
VCG auctions have
the main feature that the best individual strategy for each buyer is to provide
a true appraisal. Therefore, the solution allocation is always efficient for
the actual valuation. But in practice, VCG auctions are not used in many
applications for several reasons. On the one hand, as previously explained in
the case of apartments and garages, VCG auctions can generate low income for
sellers. In the example above, if buyer C exits the market, then buyers A and B
will receive the apartment and garage for free. Some of these problems can be
avoided by imposing a minimum price for each object sold. But the next problem
is that buyers can work together on this and get a better price between them.
In the example, if C reduces his bid, the other two buyers will get a better
price because they have to pay less and may be able to share the profit with
each other afterwards. In larger markets, calculating efficient allocations
will be more difficult, because no fast algorithm is expected to calculate to
reach the expected solution. This is also a significant problem because using
an estimation solution can not only be less than optimal for the final
allocation result, but can also make the pricing highly inaccurate. In more
complex markets, as an alternative to VCG auctions, simultaneous-price-increase
(SMRA) auctions based on relatively simple principles emerged in more
applications in the 1990s. One of the most significant is the spectrum market
which will be explained in the next section.
2)
Frequency spectrum auction.
The US Federal
Communications Commission (FCC) is responsible for regulating the US radio
frequency market. In 1994, as proposed by Milgrom,
Wilson, and McAfee, the radio frequency market was implemented through
simultaneous-price-up auctions (SMRA), which generated more revenue than
expected and then spread to many countries around the world (Bichler-Goeree, 2017). The essence of the mechanism
analyzed in detail by Milgrom (2000) is that bids are received in several
rounds on an iterative basis. And after the last round is over, each item is
given to the buyer who offered the most and the price paid is the amount with
the final bid. In the example above, all three buyers must have actively increased
their bids until the combined price of the apartment and garage reaches 50
million, say 40 million for the apartment and 10 million for the garage, at
which point buyer C exits the market. From this it can be seen that even though
the efficiency allocation obtained is the same, the seller's income here will
be higher than in the VCG auction.
The advantage of
this method is that it is clearly simpler and more transparent than VCG because
the buyer only needs to make an offer in response to the given price, so they
do not need to evaluate all available packages and the price will contain all
relevant information. This mechanism is expected to generate more revenue for
sellers than VCG. Finally, under certain conditions the final allocation
remains efficient, for example, in the absence of complements or in the case of
substitute products, assuming a direct offer from the customer (Milgrom, 2000).
On the other hand,
the possible disadvantages of this method are manipulation by reducing demand
and exposure problems. The exposure problem can be illustrated in the following
example. Let's assume player A and B are now the same first-time buyer, so they
would only buy an apartment for 43 million or only a garage for 12 million, but
they don't want to buy both. Buyer C doesn't change, he will be the second
player. In that case, following their judgment, the price would start rising.
The first player (A + B) always bids on only one item, and the second player
(C) continues to match bids until the combined price reaches 50 million. On the
other hand, when they have achieved that, for example at 40 million for an
apartment and 10 million for a garage, buyer C will face the following problem:
he is leading with his bid on only one item, whether it is an apartment or a
garage, and one of the items that If he wins, it will be of no value to himself
because he is targeting the object as a complete package with other objects. If
the auction stopped, then he would incur a heavy loss (winning the auction for
a sizable price for only one item that would not meet his needs). Hence, he would
prefer to continue bidding in order to cut his losses even if the total price
exceeded 50 million. Therefore, buyers who prefer larger packages are faced
with the fact that, in the end, they may not be able to get the package they
want in full or they will have to pay more than its real value to get it and
suffer losses.
The exposure
problem is most severe when there is significant complementarity between
products, and the value of the product package is much higher to the customer
than the sum of their sub-values. This problem can be avoided with
combinatorial auctions, the mechanism developed by Milgrom
and others is called a combinatorial clock auction (Ausubel & Milgrom, 2002).
Regarding the
problem of reducing demand, it is illustrated that apart from the first player
(A + B) before, for the second player (C) now, in addition to the apartment +
garage pair of 50 million, the apartment itself is also worth 38 million. This
follows the actual valuation in the bidding which leads to the result that the
first player buys a garage for 12 million, while the second player buys an
apartment for 38 million, so neither of them profit because in the end the
final price that occurs equals the efficient allocation , that is 50 million.
Conversely, if the second player surrenders the apartment and does not bid on
the garage at all, the garage will go to the first player with a minimum price
of 1 million, and in return the second player will not pay more than 32 million
to buy the apartment, because the profit will not be higher than garage case
(12 - 1 million). That is, by reducing his demand, the second player achieves
the goal that the first player is satisfied with the price he gave for the
garage, so he can get an apartment at a better price. So that both buyers will
be better off with this manipulation. The third problem with SMRA auctions is
that there may be a buyer who waits until the end, and then in the last round
finds out the right price and ends up taking the package of auction objects he
likes best and leaving other eager participants to bid and give up empty hopes;
this action is calledsniping.
Led by Paul Milgrom, the 2017 FCC spectrum auction was designed to
respond to special situations. Most of the previous radio frequency licensees
used the frequency to operate TV channels. However, with the times and several
studies conducted, the use of frequencies for cellular services is far more
profitable. The task of Paul Milgrom as the designer
of the auction design at that time was to sell the frequencies purchased from
TV channel operators to cellular operators. The procedure was proposed by Milgrom and others (Milgrom et al. 2012), then implemented in 2017 also under
their leadership (Milgrom-Segal 2017).
The essence of the
procedure is that first the price is set in a reverse auction in which most TV
operators are willing to sell their licenses. In parallel, the frequencies sold
by TV operators are auctioned off to cellular operators in a forward auction in
such a way as to generate additional profit for the government from the price
difference. However, it is also important to have the technological possibility
to change the band of the service provider who retains the license, thereby
enabling the released frequencies to be provided in bands that are close to
each other and with a wide coverage area to adequately meet the needs of the
community. This bidding process was ultimately successful, and with the US
state taking back licenses of around 10 billion US dollars of TV channels and
selling them to mobile operators for around 20 billion. State intervention, on
the one hand, generates significant revenue. And on the other hand it also
successfully completes the exchange of use rights, which places resources in
the hands of the companies that make the most efficient use of them.
B.
Implementation of Frequency Spectrum Auction in
Indonesia
Prior to 2005, all matters regarding transmitter licenses
for cellular telecommunication operations used Radio Station Permits (ISR)
which were charged per BTS per channel. This often complicates the verification
process in the field, because BTS development changes can take days, or channel
changes are very dynamic based on traffic, while the calculation of BHP for ISR
Frequency is charged annually. After the enactment of Regulation of the
Minister of Communication and Informatics No.17 of 2005 regarding Licensing
Procedures and Operational Provisions for the Use of Radio Frequency Spectrum,
there are alternative permits, namely Radio Frequency Band Permits and Class
Permits. Radio Frequency Band Permit is applied to operators who get exclusive
frequency band allocation in a service area specified in the permit. The
granting of radio frequency band licenses is carried out based on the selection
method. Meanwhile, the License Fee (BHP) for Radio Frequency Band Frequency
will be determined based on the results of the selection (auction). For
cellular operators who obtained frequency license allocations prior to 2005,
the ISR with Radio Frequency BHP will still apply in accordance with applicable
regulations (PM.19/2005) up to 2010 maximum.
1.
Legal Foundation
The legal basis for
the use or utilization of frequency spectrum auctions in Indonesia is found in
many provisions, for example:
a.
Law Number 36 of 1999 concerning Telecommunications (State Gazette
of the Republic of Indonesia of 1999 Number 154, Supplement to the State
Gazette of the Republic of Indonesia Number 3881) which was amended by Law no.
11 of 2020 concerning Job Creation;
b.
Law Number 20 of 1997 concerning Non-Tax State Revenue (State
Gazette of the Republic of Indonesia of 1997 Number 43 Supplement to the State
Gazette of the Republic of Indonesia Number 3687) which was revoked by Law
Number 9 of 2018 concerning Non-Tax State Revenue;
c.
Government Regulation Number 52 of 2000 concerning
Telecommunications Operations (State Gazette of the Republic of Indonesia of
2000 Number 107, Supplement to the State Gazette of the Republic of Indonesia
Number 3980) which was amended by Government Regulation Number 46 of 2021
concerning Post, Telecommunications and Broadcasting;
d.
Government Regulation Number 53 of 2000 concerning Use of Radio
Frequency Spectrum and Satellite Orbit (State Gazette of the Republic of Indonesia
of 2000 Number 108, Supplement to State Gazette of the Republic of Indonesia
Number 3981) which was amended by Government Regulation Number 46 of 2021
concerning Post, Telecommunications and Broadcasting;
e.
Regulation of the Minister of Communication and Informatics Number
9 of 2018 concerning Operational Provisions for the Use of Radio Frequency
Spectrum;
f.
Regulation of the Minister of Communication and Informatics Number
2 of 2006 concerning Selection of IMT-2000 Cellular Mobile Network Operators at
the 2.1 GHz Radio Frequency Band.
2.
Auction Object
The radio frequency spectrum band
blocks being auctioned include:
a. 1940 - 1945 MHz and 2130 - 2135
MHz;
b. 1945 - 1950 MHz and 2135 - 2140
MHz; And
c. 1950 - 1955 MHz and 2140 - 2145 MHz.
The auction for the
block of radio frequency spectrum band is carried out simultaneously and is not
sequential. The maximum number of radio frequency spectrum blocks that can be
bid by bidders is only two blocks. If the auction participant does not
relinquish the right to continue using the frequency band allocation of ex-Fixed
Wireless Access (FWA) with the frequency setting according to B1 in
Recommendation ITU-R M 1036-2 after not using the PCS 1900 pattern setting, the
participant can only bid 1 (one) block.
3.
Base Price Offer
Base Price Offer (Reserve
Price) is the minimum price acceptable to the State for each block of radio
frequency spectrum band auctioned. Base Price Offer (Reserve Price) for
each block of radio frequency spectrum band that is auctioned is determined differently.
For the Basic Offer Price (Reserve Price) for each selection object in
the 2.1 GHz radio frequency band is IDR 296,742,000,000. Meanwhile, the
Reserved Price for the selection object on the 2.3 GHz radio frequency band is
IDR 183,360,000,000. The Auction Team conveys the basic bidding price to
bidders prior to the prequalification.
4.
Auction Procedures
The Director
General forms the Auction Team which has the task of preparing the terms and
conditions of the auction and carrying out the tender process. The auction
process is carried out using the Two-Stage Closed Cover method (2-Stage
Sealed Bid Auction) together for the three auctioned frequency blocks. The
stages of the auction process consist of stage I auction and stage II auction.
5.
Prequalification Stage
The
prequalification stage is carried out based on an evaluation of the
completeness of the requirements made based on the format determined by the
Auction Team. All complete requirements must be submitted by the end of the
submission period for the completeness of the requirements determined by the
Auction Team, unless there is additional information requested by the Auction
Team in the context of checking and checking. The opening of the completeness
of the requirements for the purpose of pre-qualification is carried out by the
Auction Team in the presence of a notary and may be attended by representatives
of a maximum of three bidders per bidder. Then, based on evaluation through
matching and research, the Auction Team proposes the names of selection
participants who pass the prequalification to the minister who then determines
the selection participants who pass the prequalification. The Auction Team
delivers notification of the result of passing the prequalification to each
selection participant in writing. Upon notification of the Auction Team
regarding the results of the prequalification, bidders may make a written
objection within the allotted period. The Auction Team evaluates the
participants' written objections to the pre-qualification results and will
provide answers to the objections before the auction process is carried out.
The answer to the participant's written objection to the results of the
prequalification is final and binding. The final stage is the Auction Team
announcing to the public the results of passing the prequalification.
6.
Bid Guarantee
Each bidder is
required to submit a bid bond in the form of a bank guarantee addressed to the
Chairman of the Auction Team. The amount of bid security per block of radio
frequency spectrum band that is in demand is Rp.
5,000,000,000. The bid guarantee validity period is at least 3 (three) months.
7.
Level I Auction
The bidder enters
the bid value using the format provided, is given sufficient stamp duty,
stamped by the company participating in the auction, and signed by an
authorized official of the company participating in the auction. The bid is put
in a closed envelope without any signs and must be received by the Auction Team
within the period of receiving the first stage of the bid value. The bid value
is submitted in integer format with units of billions of rupiah per 2X5 MHz
block. The bid price must be at least above the basic bid price (reserve
price). At the specified time, the Auction Team opens all bid covers. The
opening of each cover of the price offer will be made in front of a notary and
an official report will be drawn up for that purpose. The opening ceremony of
the Phase I bid cover may be attended by representatives of the bidders. The
Auction Team checks the validity of each envelope of the Phase I bid.
8.
Phase II auction
It is carried out
in the same manner as in the Phase I auction with the bidding value having to
be at least equal to the Phase I bidding value. In the event that the Phase II
bidding value is smaller than the Phase I bidding value and has the potential
to create auction results that are detrimental to the state, then the Phase II
bidding value that applies is the value of Phase I bids. The maximum bid price
increase from Phase I bids by each auction participant is not limited.
Legitimate participants from the results of Phase I who do not bid in Stage II
or bid lower, may be deemed to bid in the second round with the same value as
Stage I if this can provide better auction results for the interests of the State.
A valid participant from the results of Phase I who makes an illegal bid in
Stage II, it can be considered as bidding in the second stage with the same
value as the first stage if this can provide better auction results for the
interests of the State. If it does not provide better auction results for the
interests of the State, the participant's bid is deemed absent.
9.
Determination of Auction Winners
The winner of the
auction is determined based on the rating of the highest bid price for license
to use radio frequency spectrum bands and based on the availability of
frequency band blocks. The Auction Team allocates the number of auction objects
according to the bid block submitted by the bidders starting from the bidder
who submits the highest bid. The auction object is allocated to the auction
winner according to availability. For bidders bidding for 2 blocks of radio
frequency spectrum bands and the ranking position of the bidding is in a
sequence that only allows for allocation of radio frequency spectrum bands for
one block, the auction participant concerned will only receive one block of
radio frequency spectrum bands. In the event that the bid prices are the same,
especially in Stage II, then the frequency band allocation priority is based on
the time of submission of bids within the time limit set by the Auction Team.
Bids submitted earlier are placed at a higher rating or in other words have
more priority to get the frequency band allocation being auctioned according to
availability.
10.
Implementation Guarantee
The amount of
implementation guarantee per block won for the first year is IDR 20,000,000,000
or 5% of the auction price, whichever is higher. The amount of the performance
guarantee per block of radio frequency spectrum band won for the second to tenth
year is IDR 20,000,000,000 or 5% of the projected frequency band license rate
to be paid in the following year, whichever is higher. The validity period of
the performance guarantee is at least 1 (one) year. When the performance
guarantee is executed, then the auction winner must immediately replace it with
a new performance guarantee.
11.
Collusion, Manipulation and Sanctions
That it is
forbidden to practice any form of collusion and manipulation in the auction
process, whether carried out by one or more or jointly among the bidders. For
participants who practice collusion and manipulation, their participation will
be cancelled, including the rights they have obtained as auction winners.
C.
Differences between the Implementation of Frequency Spectrum
Auctions in Indonesia and Paul Milgrom's and Robert
Wilson's Auction Theories
From the discussion regarding the auction theory put
forward by the two economists from the US, namely Paul Milgrom
and Robert Wilson, as well as a brief discussion regarding how the design of
the frequency spectrum auction in Indonesia, regardless of the various factors
and conditions related to what underlies the two auctions to be designed in
such a way, In the following, the researcher summarizes the various differences
that have been concluded.
1.
The implementation of auctions in Indonesia uses two stages, both
of which use a closed price auction method, whereas according to what is
recommended by the auction theory, namely conducting an auction in two stages,
in which the first stage is carried out openly, and using a closed price
auction for the second stage; to find out information and motives for bid price
determination by other bidders.
2.
The allocation of frequency spectrum auctions in Indonesia is
still not fully maximized. This is caused by the possibility that the frequency
spectrum is not utilized efficiently, one of which comes from the frequency
spectrum used by TV channel companies which no longer generates optimal revenue
in line with the development of the digital age. According to auction theory,
this can be solved by carrying out an auction using the methodreverse
and forward.
3.
The implementation of spectrum auctions in Indonesia has not
considered a solution to opportunities for fraudulent acts by bidders, other
than by providing requirements for a minimum auction price. The intended acts
of fraud are such as the winner's curse, monopoly action, obstruction of
bidders from registering, manipulation of demand reduction, and collusion,
which ends in the inaccuracy of the target allocation of frequency spectrum
rights.
D.
The Role of Possible Auction Theory Can Be Applied in the
Implementation of Frequency Spectrum Auctions in Indonesia
According to the researcher, the lesson that can be drawn
after analyzing the auction theory is the implementation of an auction
mechanism which is divided into two stages like an Anglo-Dutch auction, namely
the first stage uses an open price auction mechanism while the second stage
uses a closed price mechanism. This mechanism can solve various problems that
have been previously disclosed. Since the auction bidding is carried out in
several stages, it can reduce the risk of ‘the winner’s curse’ According
to Robert Wilson, the reason bidders are more likely to place their bids below
their own best estimate of common values is that they are
concerned aboutthe winner’s curse’, in
which those who win the auction pay a much higher price and are far from the
average bid price. This would end up being the party's own loss.
In addition, by using this mechanism, bidders can have
time to re-evaluate their strategy with the new information they obtained from
other buyers in the previous stage. On the other hand, to prevent bidders from
canceling bids, a new sanction can be applied to enforce this impropriety, namely
by for example the application of "activity rule” in which bidders
must make reliable bids at each stage. Thus, the conventional form of auction
where auction winners obtain goods and services no longer results in exorbitant
prices, so that both the seller and the buyer can take advantage of the proper
use of frequency spectrum, which is supported by their level of profit in
obtaining spectrum. that frequency.
Furthermore, it is
highly recommended to apply the incentive auction that was used in the FCC
auction in 2017, considering how this auction mechanism succeeded in helping to
generate significant state revenues with its unique strategy. Utilization of
the frequency spectrum in Indonesia has not been fully centralized to produce
optimal output and benefit many parties, especially the welfare of the general
public. So, with the new idea to implement reverse auction andforward auction it is hoped that it can
further optimize the use of this limited natural resource, namely the frequency
spectrum and thus also have a good impact on the development of the GNP and the
welfare of society.
CONCLUSION
Based
on the previous discussion, the conclusions that can be drawn include the
following: (1) Auction theory plays an important role in providing the main idea
of how frequency spectrum auctions are executed so that they can help generate
optimal state revenues and allocate these limited natural resources to the
right company hands. Auction theory also makes a lot of efforts in solving
various problems that occur, not only in frequency spectrum auctions, but which
can also be found in the implementation of auctions in general. (2) The
implementation of frequency spectrum auctions in Indonesia uses a closed price
auction mechanism consisting of two stages. The bidders who participated in the
second stage were the composition of all legal bidders who also participated in
the first stage. Herein lies one of the fundamental differences between
frequency spectrum auctions in Indonesia and what Paul Milgrom
and Robert Wilson recommended in their auction theory. (3) The difference is
seen between the implementation of frequency spectrum auctions in Indonesia and
the auction theory initiated by Paul Milgrom and
Robert Wilson. (4) The possible role of auction theory can be applied in the
implementation of frequency spectrum auctions in Indonesia, among others: (5)
Conducting frequency spectrum auctions in two stages, where the first phase is
carried out with open prices and closed prices for the second stage; (6)
Conduct incentive auctions, namely auctions with reverse and forward methods to
change the allocation of frequency spectrum in TV channel companies to
telecommunications companies for better optimization of frequency spectrum use
and utilization.
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Doni Triono*, Ratna Amalia Aziza (2022) |
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First publication right: Asian Journal of Engineering, Social and Health (AJESH) |
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