Managing Director & Senior Partner; Global Leader, BCG X
For national railway systems in Europe, public subsidies provide essential funds to support infrastructure maintenance and passenger and freight operations. Some countries allocate the lion’s share of public subsidies to either infrastructure managers or train-operating companies, while others allocate subsidies relatively evenly between these organizations. The use of different approaches throughout Europe raises a critical question: does the model for allocating public subsidies matter to a railway system’s performance?
The answer could help European regulators, national governments, and railway companies as they seek to develop and implement policies to improve railway performance. Recent budgetary constraints have made it imperative to understand the most effective approaches for allocating public funds for railway modernization and development programs and other improvement initiatives. Moreover, the current operating environment demands action: concerns about railway safety are increasing throughout Europe at the same time as railway systems face rising, unsustainable levels of debt and delay much-needed investment programs.
The relationship between public funding models and railway performance is central to the analysis in BCG’s 2015 European Railway Performance Index (RPI) report. BCG developed the RPI to provide a tool for measuring railway performance and to inform discussions among European stakeholders about priorities for action. To our knowledge, the RPI enables the most comprehensive benchmarking of European railway operations. Previous studies have focused on only one of three factors: productivity, the level of public expenditures, or the degree of market liberalization. The RPI, however, provides a holistic measurement that includes all three critical components of railway performance: intensity of use, quality of service, and safety. This comprehensiveness allows for isolation of the factors that drive high performance. As a result, the RPI provides valuable insights for stakeholders that seek to promote high performance of European railway systems.
In the first RPI report, published in 2012, we sought to understand what drives railway performance in general, with particular emphasis on whether there might be a link between high performance and market liberalization. (See The 2012 European Railway Performance Index: Understanding What Drives High Performance, BCG report, November 2012.) We found only weak correlations between performance and the degree of liberalization and between performance and the choice of governance model. Our key finding was that a railway system’s overall performance typically correlates with the level of public cost, which we defined as the sum of public subsidies and investments in the system.
Our current report confirms the correlation between performance and public cost. To probe more deeply into this correlation, we also examined the link between performance and how governments allocate public subsidies between infrastructure managers and train-operating companies.
Significantly, we found a correlation between the value that countries derive from public cost and the percentage of public subsidies that are allocated to infrastructure managers. The key takeaway: countries that get the most value from public spending on railway systems also allocate the highest percentage of subsidies to infrastructure managers.
These correlations do not mean that increased public spending or more effective subsidy allocation is a magic bullet for improving railway performance. Rather, our findings suggest that while traditional optimization levers—such as asset and network optimization, marketing effectiveness, operations performance, strategic workforce planning, and governance efficiency—should still be priorities, stakeholders in each country should closely examine the options for devoting a greater share of their public funding to support infrastructure managers.
The RPI measures railway systems’ performance in three dimensions for both passenger and freight traffic:
We confined the analysis to these dimensions to create an indicator that is comprehensive yet easy to understand. Each dimension comprises at least two subdimensions, and all were given equal weight. (See Exhibit 1.) We rescaled the data to represent a score out of ten for each subdimension. To create the index, we then combined the ratings for each dimension and subdimension based on their weighting.
The index’s simplicity resulted in two methodological biases:
One caveat: the primary source for data used in this year’s RPI is the International Union of Railways (UIC) 2012 database. Some countries, however, do not provide all the information that the UIC database requests. We were thus unable to include those countries in every analysis. Furthermore, due to the unavailability of data, Estonia and Greece were excluded from the RPI altogether.
Three groupings of countries emerged from the analysis:
Exhibit 2 shows each country’s performance, overall and for each of the three dimensions, as weighted in accordance with the methodology. For example, Switzerland’s rating of 9.0 for intensity of use appears as 3.0 in the exhibit because each dimension contributes one-third to the overall rating. For comparison, the exhibit also shows each country’s 2012 RPI ranking.
The 2015 rankings are generally consistent with the 2012 rankings. For example, tier one again includes Switzerland, Sweden, France, and Germany. Finland improved its ranking to join tier one, while Austria dropped to tier two. Denmark, which was excluded from the 2012 study owing to the unavailability of data, is also in tier one.
The consistency is attributable to the short period between the two studies—new policies designed to improve performance typically take longer than a few years to drive changes. Even the major railway accidents that occurred in Belgium, France, and Spain in 2013 did not affect safety ratings enough to significantly alter the RPI rankings.
As in the 2012 study, the ratings for safety show the greatest variation among countries. A country’s ranking in tier three is often mainly attributable to a poor safety rating.
Most of the differences between the 2015 overall rankings and those of 2012 resulted from changes to ratings for safety and for quality of service rather than for intensity of use. Austria, for example, dropped out of tier one because of its relatively weaker performance in the first two dimensions. Intensity of use did affect rankings in some cases, but it did not figure prominently in determining either the 2015 rankings or the changes relative to 2012.
The consistency of the rankings is illustrated in Exhibit 3, which plots each country’s RPI rating in 2015 against its rating in 2012. In the context of overall consistency, some changes are noteworthy:
Below, we discuss our findings for each tier. In describing a country’s performance in each dimension, we consider “excellent” to be a weighted rating of 2.7 or above, “very good” to be 2.0 to 2.6, “good” to be 1.3 to 1.9, and “poor” to be less than 1.3.
Tier One Countries. Tier one countries perform well in at least two dimensions, although the results are not uniform.
Tier Two Countries. Tier two countries have high-performing railway systems overall. The similarity of their RPI ratings, however, obscures a wide range of results among the three dimensions.
Two countries in this tier have high intensity of use but lag in quality of service and safety:
Three countries in this tier have high ratings for safety but relatively low ratings for intensity of use and quality of service.
Two countries in tier two perform well with respect to safety and quality but have low ratings for intensity of use, especially by freight:
The remaining countries in tier two—Belgium, at an overall rating of 4.7, and Norway, at 4.6—have good or very good ratings for intensity of use and safety but poor ratings for quality of service.
Tier Three Countries. Almost all the tier three countries have poor safety ratings. The exception is Ireland, whose safety rating is among the highest in the index. Ireland’s overall rating of 3.8 stems from very low ratings for intensity of use and quality of service.
Levels for quality of service are poor or good among the rest of the tier three countries, except for Romania, which has a very good rating. Intensity of use is good or very good for six countries: Slovenia, Lithuania, Hungary, Latvia, Slovakia, and Poland. However, three countries—Romania, Portugal, and Bulgaria—have poor ratings for intensity of use.
What explains the performance ratings we derived from the RPI? To explore this question, we focused on public cost and subsidy allocation as key drivers of performance.
We began the analysis by comparing each country’s overall RPI rating with its public cost, which, again, we defined as the sum of public subsidies and investments in the system. Public subsidies are recurring government contributions that support passenger and freight operations and infrastructure maintenance. Public investments are one-time government investments in infrastructure construction projects.
Because public investments are project-based expenditures, we used the average annual public investment over the six-year period from 2007 through 2012. To capture the amount of public investment more comprehensively, we adjusted the average annual investment figure to include the cost of servicing debt and the amount of anticipated future investments (these adjustments were not made in the 2012 study). We then converted the public cost to per capita figures for each country—thousands of euros per inhabitant—and normalized the figures on a scale of 0 to 10.
Overall, as in 2012, the analysis shows a correlation between public cost and a given railway-system’s performance level as measured by the RPI. (See Exhibit 4.)
However, the analysis also reveals differences in the value that countries receive in return for their public costs. Switzerland, Germany, France, Sweden, Finland, and the Netherlands capture relatively high value for their money. These countries outperform relative to the average ratio of performance to cost for all countries—that is, they achieve high performance at a lower cost per capita than do the other countries. In contrast, Latvia, Slovakia, Portugal, and Bulgaria get relatively low value for their money—these countries underperform relative to the average ratio of performance to cost.
We sought to understand what might explain these differences in value derived from public cost. We hypothesized that the differences could be linked to the way a country allocates public subsidies between infrastructure managers and train-operating companies. To test this, we analyzed the correlation between value derived from public cost and the percentage of public subsidies allocated to infrastructure managers. It should be noted that Denmark, Ireland, Norway, Portugal, and Slovenia were excluded from the analysis because comprehensive data was not available.
We found that value correlates with allocating a larger percentage of public subsidies to infrastructure managers. (See Exhibit 5.) In other words, countries with the best-performing railway systems in terms of value from public cost generally allocate a higher percentage of subsidies to infrastructure managers.
Notably, France and Germany obtain relatively high value despite allocating subsidies fairly evenly between infrastructure managers and train-operating companies. These countries have high RPI ratings, which result from their size, their railway systems’ intensity of use, and their history of investing to build and maintain world-class railway systems. Stakeholders in these two countries should consider whether they could obtain even greater value for the money by increasing the share of total subsidies allocated to infrastructure managers.
Austria, in contrast, gets relatively low value despite allocating approximately 70 percent of subsidies to infrastructure managers: the high public costs for the nation’s railway system make it harder to get value for the money. Similarly, the very low value ratings for Bulgaria and Latvia are attributable to the costly investment programs planned in these countries.
The overall correlation between value for the money and subsidy allocation can be explained by considering how subsidy allocation affects costs and performance: directing subsidies to infrastructure managers allows companies to charge lower rates to train operators for the use of the infrastructure. Having a lower cost base and relying less on subsidies allows train operators, in turn, to offer services at lower prices and gives them greater flexibility in running their operations and implementing performance improvements—which ultimately promotes a higher RPI rating. Moreover, a country’s railway system benefits from the improved efficiency and visibility that result from a transparent subsidy structure, in which public subsidies are provided directly to the infrastructure manager rather than spread among multiple train-operating companies. Infrastructure managers can spend the funds in ways that will create the most value, giving consideration to the priorities for the entire national railway system—provided that their governance and operating model allows them to identify and execute those priorities. It is also easier for the national government to oversee the use of funds and thereby help to ensure that they are spent on valuable projects.
We want to emphasize that we found merely a correlation—not a direct cause-and-effect connection—between railway performance and the model for allocating public subsidies. Other factors, such as a system’s historically high performance and a country’s consistently high investments in the system over time, play strong roles in determining the extent to which public spending on railway systems generates value for a country. Variations in how railway systems have applied traditional optimization levers—such as asset and network optimization, marketing effectiveness, operations performance, strategic workforce planning, and governance efficiency—also contribute to current differences in performance.
The correlation does suggest, however, that regulators, governments, and railway companies should jointly consider the options for increasing public support of infrastructure managers—whether by increasing the amount of public subsidies overall or the percentage allocated to infrastructure managers. By obtaining a better understanding of the most effective and transparent model for allocating public subsidies, European stakeholders may gain valuable insights into what drives railway performance.
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