Tuesday, 8 March 2016

Construction Industry Collusion


Christian Brockmann’s Big Idea 

The issue of market power in the construction industry is not one that gets a lot of discussion, despite the associated issues of competitive behaviour and appropriate regulation. A distinctive contribution is Christian Brockmann’s ideas on collusion and corruption, where three related arguments were made. First he put forward an analysis of bidding for projects as an auction that typically results in a price below marginal cost for the winning contractor. Second, he then argues the logical response of contractors as bidders to this outcome is collusion, which is illegal. Third, he identifies the auction and bidding process as an abuse of market power by clients that should be regulated. It’s worth reviewing Brockmann’s arguments and their validity, as he provides a somewhat different perspective on the issue of construction industry collusion.

In a market with a single buyer, as with a building or construction client, it is possible to gain market power through bargaining with potential suppliers. Bargaining power is found in bilateral negotiations over terms and conditions of supply between trading partners. In a bargaining framework buyer power is the ability to extract concessions or a surplus from a supplier, typically through individually negotiated discounts. Buyer power in this case is the bargaining strength a buyer has with respect to suppliers with whom it trades, where bargaining strength depends on the ability to credibly threaten to impose an opportunity cost if it is not granted a concession. The most important issue is therefore the relative bargaining power on the buyer and seller sides of the negotiation.

Competitive tendering, in Brockmann’s view, is the exercise of such bargaining power by clients. By using an auction to select the winning bidder based on lowest price (known as a first price sealed bid auction), projects are won by bidders who are willing to sacrifice margins or have underestimated costs (the ‘winner’s curse’). In this case the ‘individually negotiated discount’ would be the difference between a contractor’s marginal cost and the market price for the project.

In a first-price procurement auction, the low bidder is awarded the contract. In a common-values auction, the cost of performing the contract is common to all bidders but is uncertain, bids are based on estimates, and this sort of auction can result in the winner’s curse. Therefore bidding estimated cost, on average, results in a loss because the lowest of several independent estimates of the true cost, on average, is less than the true value, and rational bidders avoid the winner’s curse by bidding above their cost estimates.

The problem with first-price sealed bid auctions is that increasing the bid too little results in lost revenue to the contractor while too much loses the competition. Also, the larger the number of bidders the less likely a bid at equilibrium price will win. Brockmann argues that these sealed-bid auctions have four characteristics, and in the estimating and bidding process all these effects will overlap and aggregate:
  1. Are biased with regard to estimating errors, driving the low-bid award price below equilibrium price;
  2. Are biased with regard to information, driving the low-bid award price below equilibrium price; this is especially true in a two-phase award process, when the auction is followed by price negotiations;
  3. Are biased with regard to uncertainty, resulting in over-optimistic assumptions and driving the award price below equilibrium price;
  4. As institutions are biased with regard to technology, driving the award price below equilibrium price.


In the diagram above P* is the equilibrium (market) price and Pa is the auction price. The outcome of the auction is a price below the equilibrium price, and this augments the clients’ surplus (C) by the same amount that it reduces the contractors’ surplus. In addition there is a decrease in both surpluses (A+B), a deadweight loss, which measures the reduction of social welfare. The reason the winning bid is below marginal cost is because tenderers cannot estimate their costs accurately, due to non-systematic errors across the work breakdown structure used to get estimates. If estimating errors are normally distributed the lowest bid will be below the mean price (in auction theory this is known as the ‘winner’s curse’, where the winning bid makes a loss), which can be taken as the market price. The curve on the right hand side of the graph is the distribution of costs of the tenderers, the mean price is P*.

Brockmann concludes clients have buyer power, and the industry’s response to their use of that power is to collude in a variety of ways. Although a list is not proof, widespread evidence of collusion in the building and construction industry would suggest, in many circumstances, this can be the case. For example:

  • The Japanese dango system of market sharing on public works;
  • The Dutch industry cartel (650 companies fined €239 by NMa in 2003);
  • The lift and elevator cartel (EU Competition Commission €992 fine in 2007);
  • Montreal’s ‘Fabulous 14’ control almost 80% of public work;
  • The Scandinavian ‘Big 3’ do around 70% of all building and construction;
  • 112 UK companies were caught in a price-fixing case in 2009;
  • The steel, cement and concrete industries are repeat offenders for anti-competitive practices in many countries;
  • Australian ACCC cases include fire installation, unsuccessful tender fees and housing contractors, and a 2015 Royal Commission uncovered illegal payments between contractors, unions and crime figures, as did the Charbonneau Commission in Montreal.
There are many other examples. Brockmann says For contractors collusion “is a business decision and the players are business unit managers” and “Individuals have only the chance to walk away from the game as this will continue to be played by others”. In his view collusion is more of a structural problem than an ethical dilemma, with large groups of contractors involved individual decisions have no effect on the behaviour of the group.

Brockmann also, uniquely as far as I know, argues for regulation of buyer power. How this might be achieved is left as an open question that he does not discuss, beyond noting the industry’s frequent encounters with competition regulators around the world. However, he does discuss the difficulty in getting people to behave ethically under these conditions of procurement through auctions and settlement through claims and variations. While collusive behaviour by contractors is illegal, he strongly believes many clients can and do behave unethically when negotiating with contractors:

Why is it ethically acceptable that buyers have such market power? Why is it acceptable they can use ‘shrewd’ negotiating tactics? Collusion is both an ethical and structural problem. It will persist as long as the institutions of procurement are not changed, giving both sides equal power and reinstituting perfect competition on the project market through regulation of the buyer’s behaviour.

This is a challenging argument that raises the role of clients in shaping the behaviour of the industry. It is also a key factor in the important issue of improving procurement processes. Nevertheless, despite the theoretical neatness of the argument on auctions and estimating errors, there are more than a few points that are controversial. Among these are:

  1. If competitive tendering produces undesirable outcomes, a proposition many would disagree with, should the bid closest to the mean be selected, or the second lowest bid as in a Vickrey auction? Or another alternative?
  2. How can perfect competition be found in the market for major projects when there are a limited number of credible bidders? Oligopolies are notoriously conducive to collusion.
  3. There is also the problem of information asymmetry. A well-informed client with a reasonably accurate estimate might well have an advantage over potential suppliers, but for the great majority of projects the clients are infrequent and inexperienced and could be disadvantaged.
 The problems of poorly informed clients and profitless contracting have a long history, in the 1830s London builders refused to tender for many projects under the building agreement in use at the time. Even earlier, Marshall Vauban, a military engineer and builder of fortifications for the French monarchy, insisted suppliers should be selected on quality not just on price. In a letter from 1685 to his Minister he complained about buyer behaviour and delays due to budget cuts, and argued:

Breaking of contracts, failures to honour verbal agreements and new adjudications, only serve to attract those firms which do not know which way to turn, rogues and ignoramuses, and to make those with the knowledge and capability of directing firms, beat hasty retreats.

I would add that they delay and inflate considerably the cost of these works, which are the worst since these cuts and the cheapness sought are imaginary. For the contractor is ruined … He does not pay the merchants who supply the materials, pays badly his employees, cheats on those he can, has only the worst, and since he is cheaper than the others, uses the poorest materials, quibbles about everything and is always crying for mercy …

… go back to plain dealing; pay the price for the works and do not deny an honest salary to a constructor who fulfills his duties; that will always be the best deal you can find.

While this was, and is, good advice, clients and their advisers are deeply committed to tendering and awarding the contract to the lowest bid, despite the fact that it is unlikely a competitive tender will result in a fair price. The purpose of a tender is price discovery, particularly for non-standard goods, and the industry is adept at bidding low to win work then making a project profitable.

On the other hand, the widespread evidence of collusive tendering and anti-competitive practices undermines the rationale for such reliance on competitive tendering. When you get situations like Japan and Holland, where industry associations have facilitated market sharing agreements across the country, it’s pretty clear the traditional system of tendering and contracting is deeply troubled.

 
Brockmann, C. 2011. Collusion and Corruption in the Construction Sector, in Gerard de Valence (ed.), Modern Construction Economics: Theory and Application, Oxford: Spon. Quote on page 59.

Letter from Vauban cited by Callender, G. 2003. A Short History of Procurement, in P. Nagel (ed.), Supply Chain Management: A Procurement Perspective, Melbourne: Hargreen Publishing, 2-9.



Wednesday, 3 February 2016

The Changing Profile of Australian Construction: 1



HOW THE MINING BOOM CHANGED THE PROFILE OF THE AUSTRALIAN BUILDING AND CONSTRUCTION INDUSTRY


The way we see and understand an industry is based on the data we get from the national accounts and other collections done by the Australian Bureau of Statistics.

For the Australian construction industry the most widely seen data is the value of work done, as shown in Chart 1, with the level of activity in residential building, non-residential building and engineering construction. Our understanding of the industry is largely based on these three sectors, and the major phenomena of the last decade has of course been the increase in engineering work during mining boom 1 from 2001-2007 and mining boom 2 from 2010-2014.

Chart 1.
Source: Construction Activity: Chain Volume Measures ABS 8782.

Now the mining boom is over, there has been a lot of talk about the role of the building and construction industry in the macroeconomic transition, as the contribution to growth in gross domestic product (GDP) from mining investment now negative, other sources of growth are important. This transition is from the resource investment driven economy of a few years ago, when business investment peaked at an all-time high of 18 percent of GDP, to a more balanced, services and information economy that might give us a chance in the 21st century. The macroeconomic hope that growth in residential and non-residential building will support employment and output is currently being tested as the value of Engineering work is falling faster than Residential and Non-residential building increases.

The effect of the mining boom on the industry and the economy is an ongoing macroeconomic story. However, while a lot of attention has been given to effects on the main macro indicators of gross domestic product, employment, and inflation of construction costs, there has been less discussion about the effects on the industry. At a structural level there have been significant changes in the shares of construction industry output, employment and income between Engineering and Residential over the last decade, and these have changed the profile of the industry. This structural change is investigated in the charts below.

Beyond the regular detailed output and activity stats from the ABS there are few data sources. An infrequent construction industry survey is published (ABS 8772, last two in 2011 and 2003). However, there is also a relatively new annual publication from the ABS called Australian Industry (ABS 8055). This uses a different sample of private sector firms to get mostly financial data on a wide range of balance sheet items. The data goes back to 2006-07 and has eight main series. As explained by the ABS:

This publication presents estimates of the economic and financial performance of Australian industry in 2013-14. The estimates are produced annually using a combination of directly collected data from the annual Economic Activity Survey, conducted by the Australian Bureau of Statistics, and Business Activity Statement data provided by businesses to the Australian Taxation Office.

This is the modern approach to national statistics, accessing and organizing data from a range of sources, mostly digital. The report from a recent inquiry into the UK’s Office of National Statistics, that I reviewed here, recommended greatly increased use of digital data sources and data mining for collecting economic statistics.

Australian Industry provides a useful data set to compare industries with, and to compare sectors (called divisions) within industries. To get an idea of Construction in the wider economy, Chart 2 uses the data for the Total All Selected Industries and the Construction Industry respectively for the eight main data series produced. The effect of the building programs used in response to the financial crisis in 2007-08 are clearly shown, and were an industry windfall as profits spiked. Importantly, the funding flowed through the industry as expenses and value added both increased. Based on the ABS Construction multiplier of 2.9, where $1 million of construction work creates extra spending of $2.9 million and 37 jobs across the whole economy, that expenditure worked well as a Keynesian fiscal stimulus.

We know construction is about 8 percent of Australia’s gross domestic product percent, and that should be taken into account in the macroeconomic picture. The big question is over employment and job creation, and here the growth trend in employment in Chart 2 from 9.5 percent to nearly 11 percent, with another year of big increases in residential building following in 2015, is encouraging. However, while the mining boom seems to have lifted construction slightly, in Chart 2, it does not seem to have had a major effect on construction in relation to other industries.

Chart 2.
Source Australian Industry ABS 8155.

The eight Australian Industry series in Chart 2 are also given for three industry sectors, however instead of the three types of work in the output stats, they are Building construction, Heavy and civil engineering construction, and Construction services. These are the industry classifications used in the Australian and New Zealand Standard Industrial Classification (ANZSIC 2006), with further subdivisions of the three main sectors. (In ANZSIC Construction services is divided into four main trade groups like site preparation and finishing trades.)

This gives us a different view of the mining boom, and also the way the construction industry was affected by the mining boom, using three of the eight items shown in Chart 2. The three are: the number of people employed, total income, and industry value added. Chart 3 has the original values in dollars and people for these.

Chart 3.
Source Australian Industry ABS 8155.