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Statistical analysis of road freight transport in Catalonia

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Warianty tytułu
Języki publikacji
PL
Abstrakty
EN
This article describes the links between economic level, investment in Research & development (R&D), and Catalan freight transport between 2006 and 2016. Catalonia is the second most populous area in Spain, northeast of the Iberian Peninsula, whose economy ranks second among the Autonomous Communities, surpassed only by the Community of Madrid, to speak of a significant economic and social region. The study sought to answer the question of what economic contexts exist in the region regarding freight transport. To do all this, it uses mathematical-statistical tools to explore the relationships between real data sets, which were calculated using seven indicators. The analyses suggest a positive increase in the volume of imports and exports of goods in the region. The same is true for GDP per capita. It came as a surprise that virtually no positive correlations existed between R&D and any other indicators. In analysing the indicators, we found that the current economy was pushed back by the 2008 world economic change, similarly to international trends. At the same time, there has been rapid growth since 2010, especially in exports. This also means that Spain, particularly the Catalan region, has serious trade relations, which affect the region’s economic development and the freight transport industry.
Rocznik
Strony
40--49
Opis fizyczny
Bibliogr. 17 poz., rys., tab.
Twórcy
  • Budapest University of Technology and Economics, H-1111 Budapest, Muegyetem 3, Hungary ; John von Neumann University, H-6000 Kecskemet, Izsaki 10, Hungary
Bibliografia
  • 1. Albareda, M., Morera, M.R., 2020. Anàlisi Multivariable Estadística Aplicada a l’Organització Industrial (Multivariate Analysis Applied to Industrial Organisation) (ESEIAAT, UPC).
  • 2. Aliases, A., Jose Manuel, Vassallo, J.M., Guzmán, A.F., 2014. Road freight transport decoupling: A comparative analysis between the United Kingdom and Spain. Transport Policy, 32, 186-193, DOI: 10.1016/j.tranpol.2014.01.01310.1016/j.tranpol.2014.01.013
  • 3. Aza, R., Baños, J., Arbués, P.G., Llorca, M., 2010. Road freight transport demand in Spain: a panel data model. 12th WCTR, July 11-15, 2010 – Lisbon, Portugal, https://www.wctrs-society.com/wp-content/uploads/abstracts/lisbon/selected/02749.pdf (Last downloaded: 08.05.2021).
  • 4. Bennathan, E., Fraser, J., Thompson, L.S., 1992. What determines the demand for freight transport? 998, World Bank Publications, https://www.rhd.gov.bd/Documents/ExternalPublications/WorldBank/TransSectPub/contents/documents/B31.pdf (Last downloaded: 10.05.2021).
  • 5. Deja, A., Ulewicz, R., Kyrychenko, Y., 2021. Analysis and assessment of environmental threats in maritime transport. Transportation Research Procedia, 55, 1073-1080, DOI: 10.1016/j.trpro.2021.07.07810.1016/j.trpro.2021.07.078
  • 6. Lambertini, L., Mantovani, A., Rossini, G., 2001. R&D in transport and communication in a Cournot duopoly. Bologna: Dipartimento di Scienze economiche DSE. Quaderni - Working Paper DSE 401(12), DOI: 10.6092/unibo/amsacta/4900.
  • 7. Meersman, H., Nazemzadeh, M., 2017. The contribution of transport infrastructure to economic activity: The case of Belgium. Case Studies on Transport Policy, 5(2), 316-324.10.1016/j.cstp.2017.03.009
  • 8. Mészáros, F., Markovits-Somogyi, R., Bokor, Z., 2012. Modelling and multi-criteria optimisation of road traffic flow considering social and economic aspects. Logi - Scientific Journal On Transport And Logistics, 3(1), 70-82.
  • 9. Moreno, M.J.G., 2006. Apuntes de Estadística Descriptiva, (Descriptive Statistics Notes) (E.T.S.A). http://www2.ulpgc.es/hege/almacen/download/38/38759/estad_2006.pdf (Last downloaded: 23.05.2021).
  • 10. Moschovou, T.P., 2017. Freight transport impacts from the economic crisis in Greece, Transport policy, 57, 51-58.10.1016/j.tranpol.2017.04.001
  • 11. Moschovou, T.P., Giannopoulos, A.G., 2021. Road freight transportation in a period of economic instability: A panel data study in four EU Mediterranean countries. Research in Transportation Business & Management, 100622.10.1016/j.rtbm.2021.100622
  • 12. Nedeliako a, E., Hudakova, M., Masar, M., Lizbetinova, L., Stasiak-Betlejewska, R., Šulko, P., 2020. Sustainability of railway undertaking services with lean philosophy in risk management–Case study. Sustainability, 12(13), 5298.10.3390/su12135298
  • 13. Rust, F., Van Wyk, L., Ittmann, H. W., Kistan, K., 2008. The role of R&D in transport infrastructure in South Africa. SATC 2008, https://repository.up.ac.za/bitstream/handle/2263/7532/rust_role.pdf?sequence=1 (Last downloaded: 03.06.2021).
  • 14. Sipos, T., 2017. Spatial Statistical Analysis of the Traffic Accidents. Periodica Polytechnica Transportation Engineering, 45(2), 101-105. DOI: 10.3311/PPtr.989510.3311/PPtr.9895
  • 15. Sipos, T., Mészáros, F., Bokor, Z., 2012. Determination of road transport sotial cost. In Hungarian: A közúti közlekedés társadalmi költségeinek meghatározása] Scientific Review of Transportation, In Hungarian: Közlekedéstudományi Szemle, 62(3), 31-35.
  • 16. Szabó, Z., Török, Á., Sipos, T. 2021. Order of the Cities: Usage as a Transportation Economic Parameter. Periodica Polytechnica Transportation Engineering, 49(2), 164-169, DOI: 10.3311/PPtr.1378610.3311/PPtr.13786
  • 17. Zenaida, H.M., 2012. Methods of data analysis: notes. In Spanish: Métodos De Análisis De Datos: Apuntes, Universidad de la Rioja, España: Servicio de Publicaciones. Determinar el impacto de mejora significativo de un sistema de información web en el proceso trazabilidad de productos de ferretería en Lima.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-60a12b00-f91c-414c-b39f-3f284a741dd8
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