The impact of CO₂ emissions from different types of transport on countries’ logistics efficiency: Case of ITF member countries
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DOIhttp://dx.doi.org/10.21511/ee.15(2).2024.15
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Article InfoVolume 15 2024, Issue #2, pp. 215-231
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This study provides empirical evidence that CO₂ emissions from transport (total and by transport types) have an impact on countries’ logistics efficiency, both in general (Logistics Performance Index) and in terms of its individual indicators (volumes of freight transport (total and by transport types) and total investments in transport infrastructure). The aim is to empirically demonstrate the impact of CO₂ emissions from different modes of transport on the logistics efficiency of countries, specifically using data from 60 International Transport Forum (ITF) member countries. The Granger causality analysis, based on VAR modeling for six periods evaluated by the World Bank (2007, 2010, 2012, 2014, 2016, 2018), demonstrates that in 50% of the countries, changes in CO₂ emissions from transport are the cause of the shifts in the Logistics Performance Index (increasing emissions can impede logistics efficiency). The sample was reduced to these countries for the regression modeling. Regression modeling (with fixed and random effects, Hausman test, for 2002–2021 on panel data for countries in which direct causality was confirmed) showed that a one-unit increase in total CO2 emissions from transport (in general and in air transport) is associated with 0.12 and 0.21 decrease in total investments in transport infrastructure. An increase in road CO2 emissions is associated with a 0.49 decrease in road freight transport (ton-km per thousand units of GDP). An increase in CO2 rail emissions is associated with a 0.15 increase in total investments in transport infrastructure and a 0.12 increase in total freight transport.
- Keywords
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JEL Classification (Paper profile tab)Q56, R49
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References55
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Tables7
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Figures0
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- Table 1. Summary statistics
- Table 2. The results of the fixed-effects model to estimate the impact of CO2 emissions from transport (total and by transport types) on total investments in transport infrastructure
- Table 3. The results of the random-effects model to estimate the impact of CO2 emissions from transport (total and by transport types) on total investments in transport infrastructure
- Table 4. The results of the fixed and random-effect models to estimate the impact of CO2 emissions from transport (total and by transport types) on total inland freight transport
- Table 5. The results of regression modeling to assess the impact of CO2 emissions by a specific mode of transport on the volume of freight transportation by the same mode of transport
- Table A1. Granger causality test results
- Table A2. The results of the determination of causality direction based on the Granger test interpretation
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