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Energies
  • Article
  • Open Access

25 June 2024

The Role of EU Transport Market Liberalization in Shaping Directions of Rail Energy Consumption Rationalization in Relation to the Export of Goods: The Case of Poland

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Department of Transport Management, Institute of Management, University of Szczecin, Cukrowa 8 Street, 71-004 Szczecin, Poland
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Research Group on Social Memory, Institute of History, University of Szczecin, Krakowska 71-79 Street, 71-017 Szczecin, Poland
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Authors to whom correspondence should be addressed.
This article belongs to the Special Issue Energy in Modern Transportation – Problems of the System-of-Systems Approach to Low-Carbon Mobility and Logistic

Abstract

This article discusses the impact of rail market liberalization on the energy intensity of rail in relation to the export of goods, as well as the identification of multidimensional cause-and-effect relationships between rail energy intensity and the importing country’s economic condition, transport performance, and transport distance. Three research questions were formulated: (1) Does the liberalization of the EU transport market and the implementation of a sustainable transport policy contribute to minimizing the energy consumption of rail transport? (2) Does the pursuit of economic growth allow for reducing the energy intensity of goods exported by rail transport in global trade? (3) Is there a justified paradigm for shifting long-distance freight transport from roads to rail? This study concerned 21 directions of the export of goods transported by rail from Poland to partner countries (worldwide) in 2010–2020. A panel model of rail transport energy consumption with random effects was constructed. As a result of rail market liberalization, the export of goods transported by rail across great distances occurs without harming economic development and leads to a reduction in energy intensity. On this basis, key strategies were formulated to promote rail transport in reducing the energy intensity of the transport sector. The authors filled the research gap by identifying the relationship between the energy intensity of exports of goods by rail transport in value terms, depending on the European transport market’s liberalization process, the importing countries’ economic situation, transport volume, and distance. The presented approach is innovative and can be adapted to the analysis of other modes of transport, including road transport, and other countries (and their structure and export directions).

1. Introduction

Rail freight transport plays an integral role in the economy, enabling the efficient flow of goods over long distances. It is recognized as a sustainable, safe, and profitable mode of transport [1,2,3]. It also improves regional and interregional relations, which is critical for the spatial evolution and economic integration of different areas [4]. Furthermore, rail freight transport is the cornerstone of economic stability and growth, providing a sustainable and efficient way to transport goods [1]. It serves entities by streamlining goods flows, reducing delivery times, and enhancing service quality [5,6,7]. The structure of rail freight transport is likely to alter due to global trends such as energy intensity reduction, decarbonization, and the circular economy, which may restrict the transport of some items such as coal and oil [6]. The development of intermodal transport networks, with rail playing a key part, is required for the sustainable development of freight transport [8]. Overall, rail freight transport is an important part of a stable and sustainable economy. Building a resilient and sustainable transport system plays a key role in achieving the sustainable development goals. Within these assumptions, solutions are sought to reduce the negative effects of degrading transport activities on society [9]. Rail transport, compared to road transport, is characterized by lower energy consumption per unit of transport work performed and lower emissions of harmful gases, which make it an important tool for the decarbonization of transport [10]. Road transport is responsible for high specific CO2 emissions, safety risks, high levels of land absorption, noise emissions, and the problem of congestion [9,11]. As a result, this mode is characterized by the highest level of generated external costs, while satisfying the largest share of needs in the field of inland cargo transport (77.8% of transport work performed in the EU-27 countries in 2022 was carried out by road transport [12]). Decisions on the choice of rail for freight transport result primarily from its technical and operational features, such as high transport capacity, low unit operating costs, high energy efficiency, and reliability (compared to road transport) [13,14].
The transport services provided are the engine driving economic processes; therefore, solutions are being sought that will reduce the negative impact of transport while not reducing the competitiveness of the economy by meeting transport needs. The change in the modal structure of transport aimed at preventing asymmetry by transferring loads from road transport to rail and inland waterway transport under the assumption of the shift paradigm is of key importance [15]. The need to shift loads from road to rail transport is also emphasized in EU legislation. The European Commission [16] recommends that by 2030, 30% of road transport of goods moved over a distance of more than 300 km should be transferred to alternative modes of transport. By 2050, it should be over 50%. Such policy-making is intended, among other things, to aim at promoting rail transport by ensuring equal conditions of competition in terms of setting prices in transport, fair conditions of access to the rail market, the development of railway infrastructure determining accessibility to this mode of transport, and improving multimodal integration [17]. This is also confirmed in the literature on the subject, which supports this position, emphasizing the need to transfer loads from road to rail transport and pointing to the reduction in greenhouse gas emissions (GHG) emissions as one of the most important benefits [18].
Many countries, particularly those in the European Union, have prioritized rail freight transport deregulation as a means of improving transport efficiency, competitiveness, and sustainability. This approach includes deregulating the market to increase competition, privatizing state-owned companies, and decreasing corporate regulations. The goal is to increase service quality, reduce costs (including energy intensity), and shift freight transport from road to rail to lessen environmental effects. Liberalization can be viewed from different perspectives:
  • Sustainability and environmental impact: liberalization is viewed as a way to promote sustainable transport by boosting rail competitiveness while decreasing the negative environmental implications of road freight [19,20]; the construction of multimodal transport networks is necessary to accomplish the aims of sustainable transport systems [20];
  • Efficiency and enhancements in performance: liberalization may contribute towards greater technical effectiveness and enhanced performance in rail freight transport, evidenced by the rising transported volume of goods and also the increasing passenger flow [21,22,23]; rail freight transport efficiency varies greatly between geographical areas, and liberalization may not consistently boost efficiency across all countries [22];
  • Innovation and market competitiveness: to remain competitive in a liberalized market, national carriers must innovate in areas such as intermodal terminals and digitalization [19].
Liberalizing rail freight transport has the potential to improve the transport sector’s efficiency (in all dimensions, especially in the energy intensity), competitiveness, and sustainability. While it can result in considerable performance improvements and cost savings, the success of liberalization efforts is dependent on resolving market dominance problems and ensuring that infrastructure and regulatory frameworks promote fair competition. For success in a liberalized market, national carriers must innovate and make strategic modifications. In general, liberalization is a potential strategy for shifting freight transport from roads to rail, lowering environmental consequences, and boosting sustainable transport systems.
Given the high dependence on energy supply, the limited supply of transport services (after pandemic COVID-19), disrupted supply chains, the current geopolitical situation, and the economy and transport’s reliance on energy, it is possible to conclude that rail transport plays an essential role in minimizing energy consumption. The limited supply of road carriers may lead to a shift from road toward rail transport, but this option is contingent on the removal of infrastructural constraints and the introduction of supportive legislation [24,25]. The increased demand for rail services, combined with the need for robust infrastructure and adaptive logistics strategies, demonstrates the complexities of managing freight transport in a dynamic environment (market shocks, volume fluctuations, on the one hand, and the need to maintain supply chain efficiency, on the other) [25,26].
The authors filled the research gap by identifying multidimensional cause-and-effect relationships of the energy intensity of exports of goods by rail transport (energy consumption by this transport per 1 USD of GDP) in the context of liberalization of the rail market. Knowledge of these relationships is crucial in programming and implementing EU transport policy.
This article is organized into five sections. The first section is the introduction. The second section discusses the development and liberalization of the rail market through the prism of European Union integration, as well as a reference to the shift paradigm in the context of minimizing the energy consumption of transport (including rail). Section 3 presents a description of the data and the research techniques used. Section 4 presents the research results and discussion with policy recommendations, with particular attention paid to the panel model of energy intensity in rail transport. The last section ends with conclusions, directions, and conditions for improvement.

3. Data and Methodology

3.1. Data

This study used secondary data from the databases listed in Table 2. The time range covered the years 2010–2020. At the same time, it was the widest scope possible to examine, taking into account the integrity and completeness of the data. The data were structured into panel data, yielding 231 observations. The structure and scope of data determined the export destinations of goods from Poland. The 21 largest directions for years 2010–2020 were selected: Austria, Belarus, Belgium, Brazil, China, Czech Republic, Denmark, France, Germany, Hungary, Italy, Morocco, Netherlands, Norway, Romania, Russia, Slovakia, Spain, Sweden, Ukraine, and the United Kingdom. The analysis focused only on rail transport, the data were analyzed and included only for this mode, and in the case of intermodal transport (requiring the integration of another mode of transport), only sections of routes performed by rail transport were taken into account (see Figure 1 and Figure 4). This study excluded other geographical export directions due to their small share in trade and the summary data for other countries.
Table 2. Description of the data used in this study in alphabetical order.

3.2. Methodology

The research problem was formulated in the form of three research questions:
  • Does the liberalization of the EU transport market and the implementation of a sustainable transport policy contribute to minimizing the energy consumption of rail transport?
  • Does the pursuit of economic growth allow for reducing the energy intensity of goods exported by rail transport in global trade?
  • Is there a justified paradigm for shifting long-distance freight transport from roads to rail?
Based on the above questions, the authors formulated the following research hypothesis: liberalization of the EU transport market, aimed at creating a single European transport area and the convergence of Member States in the implementation of sustainable development goals, favors minimizing the energy consumption of rail transport without harming the economies and the movements of exported goods in worldwide trade.
The aim of this article is to set directions for rationalizing the energy consumption of rail transport in global exports of goods without harming freight movement and the economy.
To calculate the energy intensity of exports of goods by rail transport, the first step was to recognize the data structure and extract information from it separately on the energy intensity of diesel and electric traction [in MJ/thousand tonne-kilometers gross] and gross transport performance separately for diesel and electric locomotives. Based on these data, it was possible to estimate the aggregate energy consumption of diesel traction and electric traction using the index method. Data on total transport and the structure of rolling stock were necessary to decompose two measures of energy intensity of rail transport in net terms [MJ/t] from the gross approach. The aggregated energy consumption by diesel and electric traction for various geographical directions of goods exports was related to the GDP of countries importing goods from Poland. These operations allowed us not only to clear the data from the unladen weight of the rolling stock but also to relate this value to the country’s economic growth. Finally, the values were converted into a standardized unit such as Mtoe/USD (Mtoe/PPP in current USD). Further in this article, the term energy intensity of rail transport in the export of goods is understood through the prism of energy consumption by mode of transport in relation to the GDP of the importing country.
The level of lagging in achieving the European Union’s goals for reducing energy intensity (as an outlier) is an unnominated variable. It was calculated based on the Mahalanobis distance [118,119], which considers the structure of correlations between variables and allows for the identification of outlier observations. Because the covariance matrix weights it, it does not require prior standardization and will automatically adjust the scale of the variables. The construction of this variable took into account information about the membership in the European Union and energy consumption per volume of exported goods for a given country (net energy intensity), taking into account the above requirements in the calculation (decomposition of gross from net). The lower the ratio of unit energy consumption per export volume, the better from the point of view of implementing sustainable development assumptions.
The analysis began by calculating descriptive statistics for all analyzed countries that are Poland’s trading partners. This was necessary to present the background. The energy consumption of goods exported by rail transport was presented using the cartogram method. Finally, a panel model with random effects was constructed to describe the relationship (Equation (1)):
ln ( E P i t ) = α 0 + β 1 ln ( T K M i t ) + β 2 ln ( D I S T i t ) + β 3 ln ( G D P i t ) + ρ ln ( O U T _ E U i t ) + μ i t + ε i t
where
  • E P i t —energy intensity of goods exported by rail transport from Poland to importing countries i in year t related to their GDP
  • T K M i t —volume of transport of goods exported by rail transport from Poland to the importing country i in year t
  • D I S T i t —average transport distance of 1 tonne of goods exported by rail transport from Poland to the partner country (importer) i in year t
  • G D P i t —gross domestic product in the importing country i in year t
  • α 0 —constant
  • β it —structural parameters
  • ρ —spatial autoregressive parameter
  • μ it —random effects
  • ε it —random component
Panel models with random effects (RE) are used in multilevel and time-cross-sectional analyses. Despite their wide use, there are the following limitations to their use:
  • Problem with the correlation of a lower-level variable with higher-level residuals [120],
  • Assuming that random intercepts are normally distributed, which may introduce negligible errors, but failure to account for random slopes may lead to significant standard errors [121],
  • Random-effects models may be susceptible to errors resulting from the intentional omission of important variables [120,122],
  • Random-effects models may misattribute between-unit heterogeneity with respect to the inefficiency measure [120,123].
It is important to be aware of these pitfalls and to be able to use appropriate correction methods after verifying the model in terms of its properties.
The properties of the model were examined in many tests. The most important was the Hausman test because its results confirm that a model with random effects is better than with fixed effects. The Wald test again allowed for the joint significance of the studied variables in the model and this case confirms the causality of the energy consumption of rail transport. The Breusch–Pagan test allows the researcher to verify the occurrence of individual effects.
Table 3 provides an overview of other selected techniques used to analyze the energy intensity, energy consumption, and energy efficiency of rail freight transport. The scope of this research is diverse because the issue of reducing energy consumption can be studied in various contexts, as indicated in the previous section of this article. In addition, the main directions and limitations of research were indicated. The research proposed in this article is innovative, although subject to all the methodological rigors described above. So far, it has not been undertaken in a similar context using the same methodological techniques. Therefore, its framework was proposed.
Table 3. Selected techniques used to analyze energy consumption, energy intensity, and energy efficiency in rail freight transport (various approaches).
Figure 2 presents the framework of the authors’ research procedure (methodology).
Figure 2. The framework of the authors’ research procedure (methodology). Source: own elaboration.

4. Results and Discussion

4.1. Findings and Explanations

Table 4 presents selected descriptive statistics of the analyzed variables, i.e., the mean, median, standard deviation, and coefficient of variation.
Table 4. Selected summary statistics.
As Table 4 shows, all analyzed variables were characterized by very high variability in the examined time range. Based on the coefficient of variation, i.e., the quotient of the standard deviation to the mean, it can be concluded that the studied countries and years were characterized by very large differences in terms of all analyzed statistical features. In other words, they were not homogeneous. The greatest differences were recorded for the energy consumption of rail transport (approx. 262%), GDP (approx. 188%), and rail transport performance (approx. 183%). Slightly lower values were recorded for the remaining variables. This will be important for the model, as it can be assumed that the model will have individual and random effects.
Figure 3 additionally illustrates the average energy intensity of exports of goods by rail transport in 2010–2020 using the cartogram method, which takes into account the spatial diversity of the variable explained in the model.
Figure 3. Average annual energy intensity of goods exported from Poland by rail transport in 2010–2020 (in Mtoe/USD). Note: Energy intensity classes are presented using the Jenks natural breaks classification method. Source: own elaboration based on database from Table 2 and data provided by ArcGIS Living Atlas, Esri. Visualization developed using ESRI ArcGIS Pro 3.0.2 software.
The most energy-intensive directions for exporting goods by rail transport (in some cases by intermodal transport, but in the analysis, we only refer to sections served by rail transport) from Poland are Morocco (8.2023 Mtoe/USD), the Czech Republic (7.0729 Mtoe/USD), and Slovakia (5.6716 Mtoe/USD). This means that generating 1 USD of GDP thanks to the import of goods by partner countries required energy consumption by rail transport of 8.2023 Mtoe, 7.0729 Mtoe, and 5.6716 Mtoe in Morocco, the Czech Republic, and Slovakia, respectively. The least energy-intensive export directions were China (0.0371 Mtoe/USD), Brazil (0.0718 Mtoe/USD), and France (0.0850 Mtoe/USD). Apart from the above-mentioned most energy-intensive countries, three more recorded energy intensity of exports of goods by rail transport above the average in the surveyed countries and in the time range: Austria (3.4424 Mtoe/USD), Norway (2.2692 Mtoe/USD) and Ukraine (2.0337 Mtoe/USD). However, other countries recorded below average energy consumption of this transport. The explanation of the variability of the energy consumption of exports of goods by rail transport and its causality is presented by a panel model (Table 5).
Table 5. Panel model of energy intensity of export of goods by rail transport with random effects.
Based on the model presented in Table 5, it can be clearly stated that all analyzed variables were statistically significant. The Wald test for the joint significance of the studied variables in shaping causality also allows for the conclusion that transport performance for export goods by rail transport, economic growth, the average transport distance of 1 tonne of goods exported by rail transport, and the level of lagging in achieving the European Union’s goals for reducing energy intensity (as an outlier) are the reasons for the energy intensity of exporting goods by rail. The model has a very high cognitive value, as it explains approximately 99% of the variability in the energy consumption of goods exported by rail transport from Poland. The results of the Hausman test did not allow us to reject the hypothesis that the random-effects model is better than the fixed-effects model, which also explains the choice of this type of model in the exploration of cause-and-effect relationships.
In the analysis of the cause-and-effect relationships of the energy intensity of rail transport (energy consumption by this mode of transport in relation to GDP), several conclusions can be drawn as follows:
  • With an increase in transport performance by 1%, the energy intensity of exporting goods by rail transport increases by 0.9934%, ceteris paribus (estimation error—understood as a deviation of approximately 1/100 of this value). This flexibility is not directly proportional, but it indicates that transport work reflects the energy consumption of this type of transport. This means that transport work stimulates economic growth on the one hand and energy consumption by this type of transport on the other.
  • An increase in GDP by 1% causes a decrease in the energy intensity of exports of goods by rail transport by 0.9885%, ceteris paribus. Such a change reflects technological progress or transport technology but also informs that for each 1 USD of GDP generated, rail transport consumes less and less energy.
  • An increase in the average transport distance of 1 tonne of goods by 1% contributes to a decrease in the energy intensity of rail transport by 1.0076%. This means that long-distance rail transport of goods brings increasingly greater economies of scale.
  • The more a country deviates from the sustainable transport policy (here understood by EU membership and respect for the developed provisions and goals), the higher the energy consumption. The level of lagging in achieving the European Union’s goals for reducing energy intensity (as an outlier; measured by the Mahalanobis distance) increases by 1%, and the energy intensity of exporting goods by rail transport increases by 0.0662%. It also confirms that the creation of a single European transport area, which eliminated barriers between national systems and allowed the integration of processes and international multimodal operators, reduced the total energy intensity of rail transport. The degree of unification of regulations and technical conditions facilitates the movement of goods and reduces energy costs. The value of this parameter as a hidden variable could be influenced by models of the division of infrastructure management and transport activities of rail transport (separation, integration, hybrid model).
  • The average distance has the greatest impact on the energy consumption of rail transport, but transport performance and GDP also have a significant impact. They can be considered as a triad of causative factors for the energy consumption of export goods transported by rail.
The model also explains that shifting the export of goods from road to rail transport over long distances takes place without harm to the economy and goods movement. Moreover, there is a decoupling between energy consumption by rail transport and economic growth.

4.2. Discussion on Strengthening the Position of Rail Transport to Reduce Energy Intensity and Recommendations

The energy consumption of exporting goods by rail is influenced by the transport technology used: mass-distributed and intermodal. In commercial terms, bulk transport is mainly so-called full train shipments, which are transported with one consignment note. However, two technologies for transporting goods by rail dominate: dispersed transport (by wagons) and full-train transport (compact, shuttle), which generate different costs (including energy consumption) and transport times. Wagon transport usually requires more time to complete, which involves stops at intermediate stations and train changes. Full-train transport allows the elimination of unnecessary operations (including marshaling of wagons), but the choice of technology depends on the rail carrier. If a carrier operates throughout the entire railway network, distributed transport technology may be a more interesting option for it in terms of revenues [130]. Taking into account geographical criteria and technology, international transport can be carried out by regular trains (made of single wagons or several wagons), compact (shuttle) regular or express trains in mass transport between the sender and recipient of goods, or compact intermodal trains (transport of containers, semi-trailers, swap bodies) in express system transport [130]. The energy intensity of rail transport is also significantly influenced by the same demand and supply factors that stimulate the demand for rail freight transport. On the demand side, there are factors such as the following [130,131,132]:
  • Spatial distribution of economic activities,
  • Economic situation—with better economic conditions, the demand for transport increases (actual demand also increases, and the gap between actual and potential demand shrinks),
  • Specialization in production—greater demand for the transport of semi-finished products and components,
  • Organization of trade and product distribution,
  • Intensity of foreign trade—a higher share of exports in GDP causes an increase in demand for international transport,
  • Production technologies—material-intensive technologies, stimulation of growth in transport,
  • Branch structure of the economy,
  • Degree of cargo containerization,
  • Export and import structure,
  • Level of infrastructure investments.
On the supply side, the following can be distinguished [130,132]:
  • Quality of railway infrastructure, which determines the speed of cargo movement, timeliness, and punctuality,
  • Service potential of rail-substitutable modes of transport,
  • Price competitiveness of other carriers,
  • Spatial accessibility of loading points and stations,
  • Equipment that determines the processing capacity of port, border, and rail terminals (rail-ports),
  • Having a reserve of transport capacity on specific routes.
Rail freight transport plays an important role in EU transport policy. Nevertheless, it must adjust to shifting demands and consumer needs to preserve and increase its market share, especially in light of the competition of other transport modes, e.g., road transport.
Among the key points of discussion, a special place is occupied by issues regarding the conditions for the development of rail transport in the European Union, namely the following:
  • Regaining market share will require rail freight transport to innovate and adapt to changing circumstances, such as the increase in containerized goods, by cooperating with partners in the transport chain and providing door-to-door services [133].
  • The European Union’s policy objectives seek to achieve a substantial transition (shifting) from road to rail transport, with optimistic projections indicating that rail freight demand might double by 2050 [134]. To accommodate the anticipated doubling of freight traffic and optimize the competitive advantage of rail freight, cooperation across European railways is vital [135].
  • High-speed rail freight transport may be a feasible alternative for low-density, high-value cargo, soaking large CO2 reductions, although it is currently more costly than road transport [133].
  • To grow, rail freight transport in the EU should enhance the quality of its services, implement integrated supply chain strategies, and save costs by implementing heavier and longer trains, wider loading gauges, faster average speeds, and more efficient use of wagon space [136].
  • Due to asymmetries in both intra- and intermodal competition, rail freight has doubly imperfect competition, which calls for regulatory attention to entry obstacles and market concentration [135].
  • Rail freight has to raise capacity through improved planning, ICT systems, and infrastructure upgrades to draw clients and meet EU mode shift objectives. It also needs to provide competitive pricing and higher service quality [137].
  • The competitiveness of rail freight depends on innovations like digitalization, optimization of the management of rail traffic (ERTMS), the ability to serve the new technology of intermodal transport, and the development of intermodal terminals network.
  • Optimizing the railway network and using approaches like the critical path method (CPM) and critical chain method (CCM) are two ways to make rail freight a greater competitor [138].
  • The integration of European rail transport systems, as included in the TEN-T extension policy to Ukraine and Moldova, requires the development of technologies to facilitate the provision of services between systems with different track gauges.
  • The development of rail freight transport is contingent upon the deployment of logistic solutions and pro-competition regulations [139].
  • The expansion of rail freight in the EU should be aided by deregulation, market liberalization, addressing the significant roles played by large corporations, and government action [135]. Further and deeper deregulation, improved planning, ICT systems, an integrated supply chain strategy, and a quicker establishment of rail freight corridors are all necessary for the development of rail freight transport in the EU [137].
For rail freight transport in the European Union to thrive, it must become more customer-focused, sensitive to market developments, and attractive in pricing. This necessitates higher service quality, a greater capacity of infrastructure, and technological and logistical improvements. Regulatory measures must resolve market imbalances and encourage collaboration among operators. The successful execution of these initiatives might result in a considerable shift from road to rail, under EU policy objectives, leading to a more environmentally friendly and productive transport sector. Table 6 contains proprietary strategies promoting energy reduction using rail transport.
Table 6. Solutions for reducing energy use by boosting rail transport.
Such recommendations may help the EU drastically reduce the energy intensity of the transport sector. Energy intensity will be decreased and the EU‘s larger environmental and sustainability goals will be met by promoting rail transport through enhanced services, better infrastructure, financial incentives, and institutional support.
Reducing energy intensity and avoiding negative environmental effects require that rail transport play a larger role in the export of goods within multimodal transport networks. The aim of integrating different modes is to improve the role of rail transport in intermodal freight networks. Increasing the position of rail transport as a result of market liberalization can be achieved through the following:
  • Economic and spatial integration: the EU’s integration and economic advancements in the importing partners serve to lower the energy intensity of rail transport for exports [99],
  • Intercontinental freight transport: rail transport may save CO2, NOx, and PM10 emissions when it replaces maritime transport on some transcontinental freight routes (Figure 4), but careful logistical planning is needed [149],
    Figure 4. Intercontinental Transport Network for rail freight transport for studied countries. Note: the country of export (Poland) is marked in a more saturated color. Source: own elaboration based on data provided by ArcGIS Living Atlas, Esri. Visualization developed using ESRI ArcGIS Pro 3.0.2 software.
  • Facilitating terms for multimodal transport in particular sectors: the use of strategic logistics models and technological advancements is crucial in certain sectors to facilitate multimodal rail-road transport [150],
  • Energy-saving strategies in rail systems: enhancing sustainability in rail networks may be achieved even in situations when rolling stock is unavailable by implementing energy-saving techniques like recovery devices and appropriate drive profiles [151],
  • Upstream goods consolidation: reducing the requirement for de- and re-consolidation, boosting container usage, and saving CO2 emissions by consolidating commodities upstream and utilizing rail-based intermodal transport downstream [152],
  • Optimizing the loading of containers: at rail-truck intermodal terminals, effective container loading procedures may drastically cut down on handling time, rearranging, and energy usage [153],
  • Using double-track railways: double-track railways can convey freight more often while using less fuel and emitting less carbon monoxide due to the greater capacity of such a line [154],
  • High-speed rail impact: infrastructure for high-speed rail encourages technological advancement, industry agglomeration, and lower general energy usage, particularly in outlying cities [155].
To sum up, multiple solutions can be implemented to enhance the role of rail transport in the export of goods within intermodal networks and decrease energy intensity. These include streamlining the process of loading containers, consolidating commodities upstream, making use of double-track railways, leveraging high-speed rail infrastructure, substituting rail for maritime transport on specific routes, and putting energy-saving measures into practice. Furthermore, industry-specific technical advancements and economic and spatial integration are critical to improving the sustainability and efficiency of rail transport in multimodal networks.

5. Conclusions

The presented research allowed for the analysis of cause-and-effect relationships between the energy consumption of exports of goods by rail transport due to the economic situation of the trade partner country Poland (economic growth of the importing country), transport performance determining transport capacity, average transport distance (geographical proximity, spatial distribution of importing countries), and level of lagging in achieving the European Union’s goals for reducing energy intensity (as an outlier). According to research, countries importing goods from Poland by rail were characterized by large spatial differences in the energy intensity of this type of transport (energy consumption by rail transport per 1 USD of GDP). An increase in the average distance by 1% resulted in an almost proportional decrease in the energy intensity of this transport (by 1.0076%). This is an incentive to move goods over long distances from road to rail. Similarly, an improvement in the economic situation of the importer’s country by 1% resulted in a reduction in the energy consumption of this transport (this is primarily due to the technology used). However, an increase in transport capacity, i.e., transport work by 1%, causes an increase in energy intensity by approximately 0.99% (also almost proportional). This means that there are economies of scale. However, delaying the implementation of a sustainable transport policy or failing to implement it results in an increase in the energy intensity of rail transport in the entire system, although the elasticity is quite low (approx. 7%). The model is presented in the context of the process of interaction and liberalization of the rail market because liberalization of market access is an important instrument of the EU transport policy. Its operation was intended to improve services and increase the share of rail transport in the total transport market (environmental friendliness), and to reduce barriers between modes of transport and national transport systems.
One of the directions of rationalization is the implementation of the sustainable development paradigm, i.e., the shift paradigm, i.e., moving transport from road to rail, especially over long distances. This is intended to help reduce the energy consumption of the entire transport sector. However, for the market to be competitive, it was necessary to liberalize it in the economic, legal, and managerial context. Competition stimulates the efficiency of transport processes. The more efficient the process, the lower the energy consumption. Competition improves the quality of railway services, which influences market demand for railways that are less energy-intensive. Liberalization necessitated the interoperability of European railway systems, i.e., its technical and operational coherence (not yet completed), and this affected the quality of services, travel times, and passing the border crossings.
In summary, the implications for the sustainability and efficiency of rail transport as a result of liberalization are as follows:
  • Reduction in carbon dioxide emissions—liberalization of the railway market contributes to improving energy efficiency and reducing greenhouse gas emissions, which is in line with specific EU environmental goals,
  • Increased economic efficiency—promoting the transition from road to rail transport helps to increase the share of railways in the market, while the energy-efficient operation of railways reduces operating costs, making rail transport more profitable and competitive with other modes,
  • Improved service quality and reliability in support of sustainable transport-infrastructure modernization help improve the efficiency of rail operations and energy efficiency, and also affect the quality and reliability of rail services, which is fundamental in the promotion of rail transport to further support sustainable development goals.
Further development of rail transport in the European Union towards rationalization of energy consumption must be based on the following general assumptions:
  • Modernization of railway infrastructure, mainly on railway lines belonging to the TEN-T, to reduce costs related to rail traffic, including wide implementation of modern railway network diagnostics, focusing on investments increasing capacity on strategic railway sections and the development of the TEN-T, striving to increase the maximum axle loads on the tracks, eliminating bottlenecks [156,157,158,159],
  • Completing the full implementation of the rail interoperability recommendations on the TEN-T on railway lines, which will allow for the elimination of barriers related to the principles of organizing and managing rail traffic in individual countries of the community,
  • Improvement of energy efficiency of traction vehicles resulting from the introduction of fuels and drive systems consistent with the principle of sustainable development,
  • The use of multi-system locomotives to an increasing extent, allowing for the elimination of the barrier of various power supply systems for the traction network,
  • Use of IT and telematics tools to an even wider extent, allowing for the simplification of administrative procedures, tracking the movement and origin of goods, and optimizing schedules and traffic flow (e-Freight), including the extensive use of artificial intelligence (AI),
  • Harmonization of intermodal competition conditions through effective pricing policy [82,160].
Providing a competitive and sustainable substitute for road freight, rail freight transport is an essential part of the EU’s transport sector. But it has encountered difficulties including shrinking market share, obstacles from regulations, and constraints in infrastructure. A general pentad of conditions necessary for rail freight transport in the European Union and in the world in the directions indicated above can be mentioned:
1.
Regulation and policy assistance:
  • Deregulation and market liberalization are necessary to enhance rail freight, including both intermodal and intramodal competitiveness [135,161],
  • Pro-competition laws and strong independent regulators are essential for network access and the growth of the whole transport sector [139,162],
2.
Investments in technology and infrastructure:
  • Substantial expenditures in terminals, infrastructure, and technologies are required to boost productivity and fulfill demand in the future [134,137],
  • Enhancing planning, utilizing ICT systems, and implementing integrated supply chain strategies can enhance the effectiveness and quality of services [136,137],
3.
Operational efficiency:
  • Lower operating costs along with increased capacity might be achieved by running longer and heavier trains, wider loading gauges, faster average speeds, and greater use of wagon space [136,137],
  • Despite being more expensive, high-speed rail freight provides significant CO2 reductions and may be competitive with suitable infrastructure charges and handling fees [133],
4.
Client-focused service:
  • More deregulation and the provision of door-to-door services, which are presently dominated by road transport, can lead to a more client-oriented service [136,137],
  • Technology advancements including digitalized corporate processes, RO-LA, and intermodal terminals are crucial for drawing in clients [161],
5.
Sustainability targets and goals:
  • Policies ought to support rail freight transport as an environmentally beneficial alternative to lessen the damaging effects of road freight transport on the environment [134,138],
  • The environmental advantages of rail freight transport can be further increased by fully electrified transport networks and CO2 levies [133].
The EU’s rail freight transport depends on several factors, including infrastructure investments, regulatory support, client-centered services, operational effectiveness, and environmental sustainability. Strong regulatory frameworks, on the one hand, and deregulation, on the other hand, are necessary to promote competition and innovation. Infrastructure and technology investments will raise service quality and productivity. The combination of client-driven innovations and operational improvements will make rail freight transport more complementary—even competitive—with road transport. Lastly, advocating for rail freight transport as an environmental choice is consistent with the sustainability objectives of the European Union.
The aim of this article was achieved, the research questions were answered, and the hypothesis was positively verified. The research results indicate that the studied area is interesting and requires in-depth analyses. The limitations of this study result from its assumptions, methods used, and use of data (data for 2020 may have been influenced by the COVID-19 pandemic). Rail transport faced persistent challenges as a result of the COVID-19 pandemic [163]. The COVID-19 pandemic forced transport companies to adapt to new conditions. Carriers had to adapt to movement restrictions and supply disruptions, which resulted in higher operating costs [164]. The pandemic had a wide impact on the rail transport market in Europe. In 2020, the number of freight transports decreased by 7% compared to 2019. In 2021-2022, a reconstruction of the railway market was observed [165]. In the case of Poland, there was a significant decrease in the number of goods transported by rail by 15,363 tonnes [166]. Additionally, the pandemic has negatively impacted Poland’s international trade, with exports proving more resilient than imports, but overall trade flows have been disrupted by the pandemic [167]. Research by other scientists shows that the COVID-19 pandemic had a significant impact on production processes in Poland. During the pandemic, many companies faced supply chain disruptions, which directly impacted their ability to export goods [168]. In addition, various types of shocks could have had an impact on the energy consumption of goods exported by rail: supply, price, structural, political, and social [99]. In the years 2010-2020, the Polish rail transport sector was exposed to various shocks:
  • Structural—deregulation of the rail transport market in Poland led to increased competitiveness and efficiency. The increase in competition was beneficial, but the lack of appropriate regulations could limit the full use of the potential of the railway market [169,170,171];
  • Political—EU transport policy, shifting transport from roads to railways, was aimed at reducing pollutant emissions and congestion. In Poland, increased competition in the railway sector increased the share of railways in the transport of goods, which had multidimensional effects on other sectors [25],
  • Prices—the increase in emission prices under the EU Emissions Trading System (EU ETS) affected the energy sector in Poland [172], which translated into an increase in the operating costs of rail transport,
  • Supply influences the energy consumption of transport in the long term by transferring production shocks in the industrial, processing, and construction sectors [173],
  • Social and sanitary—mainly related to the negative impact of the COVID-19 pandemic, which caused disruption of supply chains and declines in the transport of goods, the financial condition of the railway sector [166].
The research carried out is innovative because the literature has not yet examined the energy intensity of rail transport with a similar approach, especially taking into account export–import relations and the methodology used. The research is interdisciplinary—it covers management, transport economics, spatial management, GIS, and econometrics.

Author Contributions

Conceptualization, E.S., E.Z., A.D., S.K. and P.D.-D.; methodology, E.S. and E.Z.; validation, E.S., E.Z. and A.D.; formal analysis, E.S.; investigation, E.S., E.Z., A.D., S.K. and P.D.-D.; resources, E.S., E.Z., A.D., S.K. and P.D.-D.; writing—original draft preparation, E.S., E.Z., A.D., S.K. and P.D.-D.; writing—review and editing, E.S., E.Z., A.D., S.K. and P.D.-D.; visualization, E.S., S.K. and E.Z.; supervision, E.S., E.Z., A.D. and P.D.-D.; project administration, E.S. and E.Z.; funding acquisition, E.S., E.Z., A.D., S.K. and P.D.-D. All authors have read and agreed to the published version of the manuscript.

Funding

Energies 17 03118 i001Energies 17 03118 i002Co-financed by the Minister of Science under the “Regional Excellence Initiative”.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Data are contained within the article. To estimate the analyzed results, the authors used raw data from the databases included in Table 2. To generate the maps, the authors used a basemap from the sources indicated below Figure 1, Figure 3 and Figure 4.

Conflicts of Interest

The authors declare no conflicts of interest.

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