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Components of the polish LPI in relation to macroeconomic variables. Cointegration analysis

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The aim of the article is to analyze Poland’s logistics potential measured by the means of the LPI (Logistics Performance Index). The impact of trade volume, infrastructure development and service quality on individual LPI components was assessed. Estimating the relationship between the components of the Polish LPI index and macroeconomic variables enables the assessment of the strength of the relationship and sensitivity to the economic situation. It allows to draw conclusions about possible areas that are more sensitive or require repair. It also enables to indicate how the economy influences the TSL sector (Transport–Shipping–Logistics). Design/methodology/approach: The analysis was carried out using the rules and methods of time series cointegration, which enable the analysis of long- and short-term relationships. This enabled the identification of areas most sensitive to the influence of particular factors. To obtain consistent time series, interpolation methods were also used. Findings: The development of infrastructure and an increase in the level of services has a positive impact on all aspects measured by LPI components. In turn, the increase in trade exchange, as an increase in demand for the TSL sector, affects four of the six components. In two cases, border services and on-time delivery, the relationship is negative. This highlights the main points limiting the growth of LPI ratings and indirectly limiting trade and economic development of Poland. Research limitations/implications: Limited data availability influenced the choice of method used in the study. Moreover, short time series and data interpolation used in the study may result in the inaccuracy of estimations. Practical implications: Econometric analysis indicates weaknesses in the Polish logistics sector. Improvements in customs regulations and expansion of infrastructure may improve the functioning of the TSL sector. It should be of particular interest to policy makers, for which economic growth and the LPI rating should be very important. Originality/value: This is the first paper that uses econometric tools to compare the components of LPI with macro variables.
Rocznik
Tom
Strony
265--276
Opis fizyczny
Bibliogr. 18 poz.
Twórcy
autor
  • University of Lodz, Department of Operational Research, Faculty of Economics and Sociology
Bibliografia
  • 1. Andriianowa, M. (2017). Indeks wydajności logistycznej jako wskaźnik problemów logistycznych w regionie (na przykładzie Federacji Rosyjskiej) In: R. Rogaczewski, S. Zimniewicz, A. Zimny (Eds.), Transport i logistyka w przedsiębiorstwie, mieście i regionie. Wybrane zagadnienia (pp. 149-162). Katowice: Wydawnictwo Naukowe Sophia.
  • 2. Arvis, J.F., Ojala, L., Shepherd, B., Ulybina, D., Wiederer, C. (2023). Connecting to compete 2023 trade logistics in an uncertain global economy. The Logistics Performance Index and Its Indicators. Retrieved from: https://lpi.worldbank.org/
  • 3. Arvis, J.F., Ojala, L., Wiederer, C., Shepherd, B., Raj, A., Dairabayeva, K., Kiiski, T. (2018). Connecting to compete 2018 trade logistics in an uncertain global economy.
  • The Logistics Performance Index and Its Indicators. Retrieved from: https://lpi.worldbank.org/
  • 4. Arvis, J.F., Saslavsky, D., Ojala, L., Shepherd, B., Busch, C., Raj, A., Naula, T. (2016). Connecting to compete 2016 trade logistics in an uncertain global economy. The Logistics Performance Index and Its Indicators. Retrieved from: https://lpi.worldbank.org/
  • 5. Coto-Millan, P., Agueros, M., Casares-Hontanon, P., Pesquera, M. (2013). Impact of logistics performance on world economic growth (2007-2012). World Review of International Transportation Research, 4(4), pp. 300-310.
  • 6. Desan, P. (2013). Small and medium enterprices assessment in Czech Republic and Russia using marketing analytics methodology. Central European Business Review, 4, pp. 39-49.
  • 7. Gogoneata, B. (2008). An analysis of explanatory factors of logistic performance of a country. Amfiteatru Economic Journal, 10(24), pp. 143-156.
  • 8. Grzelakowski, A.S. (2018). Transport jako determinant sprawności makrosystemów logistycznych w skali globalnej. Polska na tle globalnym – analiza porównawcza. Problemy Transportu i Logistyki, Vol. 1(41), pp. 65-75.
  • 9. Guner, S., Coskun, E. (2012). Comparison of impacts of economic and social factors on countries’ logistics performances: a study with 26 OECD countries. Research in Logistic & Production, Vol. 2, No. 4, pp. 329-343.
  • 10. Niedzielski, P., Łozińska, K., Tundys, B. (2021). Indeks wydajności logistycznej jako miernik pozycji Polski w międzynarodowym systemie logistycznym. Gospodarka Materiałowa i Logistyka, Vol. 8, pp. 1-15.
  • 11. Ojala, L., Celebi, D. (2015). The World Bank’s Logistics Performance Index (LPI) and drivers of logistics performance. Paper presented at The Roundtable on Logistics Development Strategies and their Performance Measurements, Queretaro.
  • 12. Pavlić Skender, H., Zaninović, P., Štefanić, A. (2020). The logistics performance analysis in European Union – EU-15 vs. EU-13. Economics and Organization of Logistics, 5(3), pp. 5-16.
  • 13. Sowa, M. Wysocka, A. (2012). Ocena wpływu kryzysu gospodarczego na działalność sektora TSL z wykorzystaniem LPI (Logistics Performance Index). Logistyka, 2, pp. 273-279.
  • 14. Tundys, B. (2011). Indeks wydajności logistycznej (LPI) jako miernik rozwoju regionów w gospodarce światowej. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, Vol. 166, pp. 736-749.
  • 15. Varbanowa, A. (2017). Logistics performance index (LPI) and incentives for logistics performance improvement in Bulgaria. International Scientific Journal "Industry 4.0", pp. 147-150.
  • 16. Varma, S., Shah, B. (2021). A Study of the Relationship between Logistics Performance and Human Development. Proceedings of the International Conference on Industrial Engineering and Operations Management. Bangalore, India, pp. 833-845.
  • 17. Welfe, A., Karp, P. (2017). Makroekonometryczny miesięczny model gospodarki Polski WM-1. Gospodarka Narodowa, Vol. 4(290), pp. 5-38.
  • 18. Yusufkhonov, Z., Ravshanov, M., Kamolov, A., Kamalova, E. (2021). Improving the position of the logistics performance index of Uzbekistan. CONMECHYDRO – 2021, E3S Web of Conferences.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9b389d96-7632-4c3d-b3fc-7cf20d93edd2
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