دانلود رایگان مقاله شبکه حمل و نقل اروپایی چند منظوره

عنوان فارسی
شبکه حمل و نقل اروپایی چند منظوره: تجزیه و تحلیل ساختار بازار
عنوان انگلیسی
European intermodal freight transport network: Market structure analysis
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
14
سال انتشار
2017
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E5249
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اقتصاد
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اقتصاد پولی
مجله
مجله جغرافیای حمل و نقل - Journal of Transport Geography
دانشگاه
Transport and Planning Department
چکیده

abstract


The analysis of market structure and concentration measures for the Intermodal Freight Transport (IFT) market is important to avoid market failure and to find the areas for policy making to promote IFT market share. This analysis can be performed for separate segments, for example, the market for transshipment service or the market for main-haulage service. However, due to the multistage characteristic of IFT service, the segmental analysis gives an incomplete view of the IFT market at the network level. In a previous paper (Saeedi et al., 2017), we present the Intermodal Freight Transport Market Structure (IFTMS) model to conduct a network-based study of the IFTMS in which distinctive actors (i.e., pre/post haulage operators, terminals, rail/barge operators, transport chains, and corridors) are competing at different levels inside distinctive markets to deliver an integrated IFT service. There are two main challenges in the application of IFTMS model in real cases, for example, the European IFT network. First, the definition of the geographical and spatial border of the transshipment market areas is needed to determine which actors are potentially competing for a specific service demand. The second challenge is the lack of disaggregated data and the consistency of existing data in nodes (i.e., the transshipment areas) and links (i.e., the rail and barge operators). To cope with these challenges, we develop a four-step methodology in which a model-based approach is used to define the geographic boundaries of the transshipment submarkets and provide detailed and consistent data for market analysis. We also apply the IFTMS model to study the market structure of European intermodal network. Our analysis shows that the majority of transshipment markets as well as main-haulage markets are highly concentrated markets. The corridor markets – which include the IFT chains – are unconcentrated markets. Furthermore, the majority of corridors in the European Union are inside highly concentrated origin-destination markets.

نتیجه گیری

5. Conclusion and policy implications


This paper has addressed the subject of competition and market structure in the IFT market. The analysis of market structure is vital for policy makers who aim to promote competition in the IFT market, and increase social economic welfare. Antitrust authorities can benefit from the findings and the presented methodology in this research. In both cases, a main challenge is defining the geographical market, for example, for terminals that are competing inside a transshipment submarket. Furthermore, analyzing the IFT market can be challenging due to multistage characteristics of IFT services. The analysis can be conducted on different levels. We can have a segmental view in which the market concertation for different submarkets (e.g., the transshipment submarket) is analyzed. We can also have a chain perspective in which the competition between different IFT chains in one corridor is studied. At the same time, multiple corridors are potentially competing in the transportation of goods between an origin and a destination. The IFTMS model—as presented in (Saeedi et al., 2017)—helps conduct such a multilevel market analysis. However, the difficulties in applying this model for a case like the European IFT market are the definition of the boundaries of the transshipment markets and the availability of detailed data, especially at the chain level. To cope with these challenges, a methodology that is complementary to the IFTMS model was presented in this paper. This methodology applies a model-based approach—based on fair allocation algorithms—to make the existing high-level data more detailed toward node, link, and corridor data. It should be emphasized that using fair allocation algorithms gives a conservative estimation of market concentration, and the market structure can be more concentrated in reality.


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