The impact of CO₂ emissions from different types of transport on countries’ logistics efficiency: Case of ITF member countries
-
DOIhttp://dx.doi.org/10.21511/ee.15(2).2024.15
-
Article InfoVolume 15 2024, Issue #2, pp. 215-231
- 25 Views
-
10 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
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
-
JEL Classification (Paper profile tab)Q56, R49
-
References55
-
Tables7
-
Figures0
-
- 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
-
- Abareshi, A., & Molla, A. (2013). Greening logistics and its impact on environmental performance: An absorptive capacity perspective. International Journal of Logistics Research and Applications, 16(3), 209-226.
- Ahmad, M., Ahmed, Z., Majeed, A., & Huang, B. (2021). An environmental impact assessment of economic complexity and energy consumption: Does institutional quality make a difference. Environmental Impact Assessment Review, 89, Article 106603.
- Ahmad, M., Jiang, P., Majeed, A., Umar, M., Khan, Z., & Muhammad, S. (2020). The dynamic impact of natural resources, technological innovations and economic growth on ecological footprint: An advanced panel data estimation. Resources Policy, 69, Article 101817.
- Allison, P. D. (2009). Fixed effects regression models. Newbury Park, CA: Sage.
- Andrei, J. V., Chivu, L., Gogonea, R.-M., Iacob, S. E., Patrascu, A., Popescu, C., Vasic, M., & Zaharia, M. (2021). Business demography and economic growth: Similarities and disparities in 10 European Union countries. Journal of Business Economics and Management, 22(5), 1160-1188.
- Andrei, J. V., Vasić, M., & Vukovic, P. (Eds.). (2023). Sustainable growth and global social development in competitive economies. IGI Global.
- Arellano, M. (2003). Panel data econometrics. Oxford: Oxford University Press.
- Artyukhova, N., Tiutiunyk, I., Bogacki, S., Wołowiec, T., Dluhopolskyi, O., & Kovalenko, Y. (2022). Scenario modeling of energy policies for sustainable development. Energies, 15(20), Article 7711.
- 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. The World Bank.
- Badreddine, A., & Larbi Cherif, H. (2024). Public health improvement by reducing air pollution: A strategy for the transition to renewable energy. Health Economics and Management Review, 5(1), 1-14.
- Baum, C. F., Hurn, S., & Otero, J. (2022). Testing for time-varying Granger causality. The Stata Journal, 22(2), 355-378.
- Bhandari, M. P. (2023). The fundamental principles of social sciences. Business Ethics and Leadership, 7(2), 73-86.
- Bilan, Y., Srovnalíková, P., Streimikis, J., Lyeonov, S., Tiutiunyk, I., & Humenna, Y. (2020). From shadow economy to lower carbon intensity: Theory and evidence. International Journal of Global Environmental Issues, 19(1-3), 196-216.
- Chygryn, O., & Shevchenko, K. (2023). Energy industry development: Key trends and the core determinants. SocioEconomic Challenges, 7(1), 115-128.
- Chygryn, O., Bektas, C., & Havrylenko, O. (2023). Innovation and management of smart transformation global energy sector: Systematic literature review. Business Ethics and Leadership, 7(1), 105-112.
- Didenko, I., Volik, K., Vasylieva, T., Lyeonov, S., & Antoniuk, N. (2021). Environmental migration and country security: Theoretical analysis and empirical research. E3S Web of Conferences, 234, Article 00010.
- Dobrovolska, O., Günther, S., Chernetska, O., Dubrova, N., & Kachula, S. (2024a). Environmentally related taxes and their influence on decarbonization of the economy. Environmental Economics, 15(1), 174-189.
- Dobrovolska, O., Ortmanns, W., Podosynnikov, S., Halynskyi, D., & Miniailo, A. (2024b). Start-ups and entrepreneurship in renewable energy: Investments and risks. Financial Markets, Institutions and Risks, 8(2), 213-240.
- Dobrovolska, O., Schmidtke, K., Krause, J., Matukhno, O., & Cierjacks, A. (2024c). Effectiveness of reforms to eliminate obstacles in the development of sustainable energy in different countries of the world. Problems and Perspectives in Management, 22(3), 1-13.
- Ferrer, A. L. C., & Thomé, A. M. T. (2023). Carbon emissions in transportation: A synthesis framework. Sustainability, 15(11), Article 8475.
- Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424-438.
- Grebski, W., & Kuzior, A. (2022). Opportunities and challenges in addressing the global energy crisis. Rynek Energii, 158(1), 91-96.
- Gualandri, F., & Kuzior, A. (2024). Toward sustainable biomanufacturing: A feasibility index for silicon carbide production from rice waste. Sustainability, 16(12), Article 5143.
- Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251-1271.
- He, Z., Chen, P., Liu, H., & Guo, Z. (2017). Performance measurement system and strategies for developing low-carbon logistics: A case study in China. Journal of Cleaner Production, 156, 395-405.
- Herold, D. M., & Lee, K. H. (2017). Carbon management in the logistics and transportation sector: An overview and new research directions. Carbon Management, 8(1), 79-97.
- Hind, E., & Mustapha, J. (2022). The impact of logistics performance on carbon emission: An empirical investigation on African countries. International Journal of Scientific Engineering and Science, 6(2), 47-51.
- ITF. (2024). Transport performance indicators. ITF Transport Statistics (database).
- ITF. (n.d.). About ITF.
- Ivanova, M., Sannikova, S., Varyanichenko, O., Kharin, S., Boichenko, M., & Riabyk, H. (2024). Statistical methods for managing risks in planning foreign economic and logistics activities for sustainable development of the enterprise. Financial and Credit Activity Problems of Theory and Practice, 3(56), 241-256.
- Karaduman, H. A., Karaman-Akgül, A., Çağlar, M., & Akbaş, H. E. (2020). The relationship between logistics performance and carbon emissions: An empirical investigation on Balkan countries. International Journal of Climate Change Strategies and Management, 12(4), 449-461.
- Kosova, T., Smerichevskyi, S., Yaroshevska, O., Mykhalchenko, O., & Raicheva, L. (2023). Вudgetary stimulation mechanisms for the transport complex development of the national economy. Financial and Credit Activity Problems of Theory and Practice, 5(52), 391-401.
- Krause, J., Myroshnychenko, I., Tiutiunyk, S., & Latysh, D. (2024). Financial instruments of the green energy transition: Research landscape analysis. Financial Markets, Institutions and Risks, 8(2), 198-212.
- Kuzior, A., Arefieva, O., Poberezhna, Z., & Ihumentsev, O. (2022). The mechanism of forming the strategic potential of an enterprise in a circular economy. Sustainability, 14(6), Article 3258.
- Lima, M. (2024). Strengthening healthcare supply chains: A comprehensive strategy for resilience in the face of natural disasters. Health Economics and Management Review, 5(2), 47-67.
- Magazzino, C., Alola, A. A., & Schneider, N. (2021). The trilemma of innovation, logistics performance, and environmental quality in 25 topmost logistics countries: A quantile regression evidence. Journal of Cleaner Production, 322, Article 129050.
- Mariano, E. B., Gobbo, G. A., de Castro Camioto, F., & Rebelatto, D. (2017). CO2 emissions and logistics performance: A composite index proposal. Journal of Cleaner Production, 163, 166-178.
- Masala, P. (2023). The minibus taxi industry’s communication strategies in dealing with linguistic diversity on the way to business leadership: The case of South Africa. Business Ethics and Leadership, 7(3), 50-61.
- Melnyk, L., Dehtyarova, I., & Kubatko, O. (2022). Sustainable development strategies in conditions of the 4th industrial revolution: The EU experience. In M. P. Bhandari (Ed.), Reducing Inequalities Towards Sustainable Development Goals: Multilevel Approach (1st ed., pp. 241-256). New York: River Publishers.
- Melnyk, L., Kalinichenko, L., Kubatko, O., Dobrowolski, Z., & Babczuk, A. (2023). Restructuring the economic systems on the way to an additive economy. Problems and Perspectives in Management, 21(3), 230-243.
- Mentel, G., Vasilyeva, T., Samusevych, Y., Vysochyna, A., Karbach, R., & Streimikis, J. (2020). The evaluation of economic, environmental and energy security: Composite approach. International Journal of Global Environmental Issues, 19(1-3), 177-195.
- OECD. (n.d). Transport performance indicators. OECD Data Explorer.
- Plysa, V., Plysa, Z., & Rudnitski, Y. (2022). Bukhhalterskyi oblik lohistychnykh vytrat na orhanizatsiiu vyrobnytstva ta upravlinnianym v oblikovo-analitychnomu zabezpechenni mikrolohistychnoi systemy [The accounting of logistics costs for the organization and management of production in the accounting and analytical support of the micrologistics system]. Socio-Economic Relations in the Digital Society, 3(45), 41-51. (In Ukrainian).
- Richardson, K. (2023). Beekeeping role in enhancing food security and environmental public health. Health Economics and Management Review, 4(4), 69-79.
- Rossi, B., & Wang, Y. (2019). Vector autoregressive-based Granger causality test in the presence of instabilities. The Stata Journal, 19(4), 883-899.
- Santosa, W., Nilawati, Yu. J., & Kusuma, R. P. (2022). Analysis of the relationship between logistics performance and carbon emissions in ASEAN. Proceedings of the First Lekantara Annual Conference on Public Administration, Literature, Social Sciences, Humanities, and Education (LePALISSHE 2021). Malang, Indonesia.
- Sineviciene, L., Kubatko, O. V., Sotnyk, I. M., & Lakstutiene, A. (2019). Economic and environmental performance of post-communist transition economies. In M. Bilgin, H. Danis, E. Demir, & U. Can (Eds.), Eurasian Economic Perspectives. Eurasian Studies in Business and Economics (pp. 125-141). Cham: Springer.
- Sotnyk, I., Kurbatova, T., Kubatko, O., Prokopenko, O., & Järvis, M. (2023). Managing energy efficiency and renewable energy in the residential sector: A bibliometric study. Problems and Perspectives in Management, 21(3), 511-527.
- Starchenko, L., Lyeonov, S., Vasylieva, T., Pimonenko, T., & Lyulyov, O. (2021). Environmental management and green brand for sustainable entrepreneurship. E3S Web of Conferences, 234, Article 00015.
- Stata. (n.d.). xtreg – Fixed-, between-, and random-effects, and population-averaged linear models. Stata Manuals.
- Wan, B., Wan, W., Hanif, N., & Ahmed, Z. (2022). Logistics performance and environmental sustainability: Do green innovation, renewable energy, and economic globalization matter? Frontiers in Environmental Science, 10, Article 996341.
- World Bank. (n.d.). Logistics Performance Index. Full LPI Dataset: 2007, 2010, 2012, 2014, 2016, 2018, 2023.
- Yadav, R., & Yadava, R.N. (2023). Assessing sustainability reporting of Indian infrastructure firms. SocioEconomic Challenges, 7(2), 119-129.
- Yoshimori, M. (2024). Global cooperation for reducing carbon emissions: The role of carbon taxes. Financial Markets, Institutions and Risks, 8(3), 69-79.
- Ziabina, Y., Iskakov, A., & Senyah, M. M. (2023). Waste management system: Key determinants of green development and energy balance transformation. SocioEconomic Challenges, 7(2), 161-172.