REDUCING ROAD FREIGHT TRANSPORT CARBONISATION LEVEL AND PROBLEMS OF "GREEN FINANCING" BY COMMERCIAL BANKS IN LATVIA

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Published: Jul 9, 2025

  Inna Stetsenko

  Andrey Surmatch

  Evelina Surmatch

Abstract

In this article, the authors shall conduct a study of the impact of road freight transport on air pollution. The objective of the present study is twofold. Firstly, it seeks to reduce carbon emissions from road freight transport in Latvia. Secondly, it aims to encourage Latvian commercial banks to offer "green financing". In the course of the study, the following hypotheses were proposed by the authors: there is a correlation between the volume of investments in environmental protection and the EURIBOR interest rate; environmental pollution is dependent on the EURIBOR interest rate. The authors have demonstrated that 74% of the Latvian truck fleet has a high level of wear and tear, which shall lead to an increase in CO2 air pollution. This could be a potential avenue for the "green financing" facilitated by commercial banks. However, the commercial banks have declined to provide financing for "green projects" due to the perceived instability of the regulatory framework and the associated political risks. Consequently, "green financing" has been classified within the "high risk" category, which, in turn, necessitates the implementation of higher interest rates. In the context of the instability of business activity in the field of road freight transport, the risk of non-repayment of borrowed funds is increased. The following methodologies were employed in conducting the study: firstly, an empirical approach was adopted in the form of a modified group discussion, with the accompanying literature study constituting the initial phase of triangulation as a study strategy. This has enabled the formulation of hypotheses. In the subsequent phase of the triangulation process, a quantitative preliminary study of statistical indicators has been conducted. The indicators encompass the volume of road freight transport, air pollution, the service life of the truck fleet, the volume of environmental financing and the EURIBOR interest rate. The primary objective of the quantitative preliminary and main study has been the empirical collection of reproducible data. The present study employs a partial least squares structural equation modelling (PLS-SEM) approach for the purpose of testing the hypotheses that have been proposed. The objective of this procedure has been to investigate cause-and-effect relationships.

How to Cite

Stetsenko, I., Surmatch, A., & Surmatch, E. (2025). REDUCING ROAD FREIGHT TRANSPORT CARBONISATION LEVEL AND PROBLEMS OF "GREEN FINANCING" BY COMMERCIAL BANKS IN LATVIA. Baltic Journal of Economic Studies, 11(3), 10-17. https://doi.org/10.30525/2256-0742/2025-11-3-10-17
Article views: 74 | PDF Downloads: 38

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Keywords

road freight transport, green financing, commercial banks, financial risks, Latvia

References

UN Environment Program. Available at: https://www.unep.org/regions/asia-and-pacific/regional-initiatives/supporting-resource-efficiency/green-financing

Olevskis G., Starptautiskā ekonomika, 2000, Riga. Available at: http://www.ibook.lv/BD_starptautiska-ekonomika-grigorijs-olevskis.aspx?BID=2e562e73-5e73-4f59-b115-e24a7150c4b0

McKinsey Global Institute. Bridging Global Infrastructure Gaps. Available at: https://www.mckinsey.de/files/mgi_bridging-global_infrastructure_gaps_june_2016.pdf

McKinsey Global Institute. Infrastructure Productivity: How to Save $1 Trillion a Year. McKisey&Company, January 2013. 100 p. Available at: http://www.mckinsey.com/industries/capital-projects-and-infrastructure/our-insights/infrastructureproductivity

McKinsey Global Institute. Green energy in Africa presents significant investment opportunities. McKisey&Company, 2023. Available at: https://www.mckinsey.com/search?q=green%20energi

Deloitte. Financing the green energy transition. Available at: https://www.deloitte.com/global/en/issues/climate/financing-the-green-energy-transition.html

Porfirjev, B. (2016) "Green Trends" in Global Financial System. Global Economy and International Relations, 9, 5-16.

Porfiryev, B. (2013) "Green Economy": Realities, Prospects and Limits of Growth. Moscow Carnegie Centre. April. Available at: https://carnegie-production-assets.s3.amazonaws.com/static/files/files__WP_Porfiriev_web.pdf

Della Croce R., Kaminker C., Stewart F. The Role of Pension Funds in Financing Green Growth Initiatives. OECD Publishing, 2011. Available at: http://www.oecd.org/finance/private-pensions/49016671.pdf

Inderst G., Kaminker C., Stewart F. Defining and Measuring Green Investments: Implications for Institutional Investors’ Asset Allocation. OECD Working papers on Finance, Insurance and Private Pensions, 2012, no. 24. Available at: http://www.oecd.org/finance/WP_24_Defining_and_Measuring_Green_Investments.pdf

European Commission, A Sustainable Europe by 2030. Available at: https://commission.europa.eu/publications/sustainable-europe-2030_en

US department of sates. Available at: https://www.state.gov/reports/2023-investment-climate-statements/latvia/

European Commission Country Report Latvia 2023. Available at: https://economy-finance.ec.europa.eu/system/files/2023-06/ip238_en.pdf

Official statistics of Latvia. Available at: https://stat.gov.lv/en/statistics-themes/environment last accessed 2024.09.01

Road Traffic Safety Department in Latvia. Available at: http://e-csdd.lv

International Finance Corporation, World Bank: Challenges of Green Finance. Available at: https://www.ifc.org/content/dam/ifc/doc/2023/challenges-of-green-finance.pdf

Bankas negrīb dot kredītus. Kāpēc? TVNET, 04.04.23. Available at: https://rus.tvnet.lv/7747012/pochemu-banki-ne-hotyat-kreditovat-razbiraetsya-komissiya-seyma

Official statistics of Latvia. Available at: https://stat.gov.lv/en/statistics-themes/environment/air-emissions

Foreign investors council in Latvia. Available at: https://www.ficil.lv/2024/04/17/foreign-investors-assess-the-investment-climate-in-latvia-with-the-lowest-score-of-1-9/

Investgazeta. How to make banks lend to the economy? Available at: https://investgazeta.ua/blogs/k

G20 Green Finance Study Group, G20 Green Finance Synthesis Report. 15 July 2016. Available at: http://unepinquiry.org/wpcontent/uploads/2016/09/Synthesis_Report_Full_EN.pdf

EURIBOR Rates 6 m. Available at: https://www.euribor-rates.eu/en/current-euribor-rates/3/euribor-rate-6-months/

LIBOR Rates 6 m. Available at: https://www.global-rates.com/en/interest-rates/libor/american-dollar/24/usd-libor-interest-rate-6-months/

Financing Green Energy Projects: Long-Term Loans. ESFC Investment Group. 2024. Available at: https://esfccompany.com/en/search/index.php?tags=green+economy

Wold, H. (1982). Soft modeling: the basic design and some extensions. In K.G. Jöreskog & H. Wold (Eds.) Systems under indirect observations: Causality, structure, prediction. Part 2, Amsterdam, North-Holland, pp. 1–54.

Becker, Jan-Michael, Arun Rai, Christian M. Ringle, and Franziska Völckner. (2013). Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats. MIS Quarterly, 37, 665–94.

Hair, Joe F., Marko Sarstedt, Christian M. Ringle, and Jeannette A. Mena. (2012). An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research. Journal of the Academy of Marketing Science, 40, 414–33.

Pages, Jérôme, and Michel Tenenhaus. (2001). Multiple Factor Analysis Combined with PLS Path Modelling. Application to the Analysis of Relationships between Physicochemical Variables, Sensory Profiles and Hedonic Judgements. Chemometrics and Intelligent Laboratory Systems, 58, 261–73.

Marko Sarstedt, Christian M. Ringle, Donna Smith, Russell Reams, Joseph F. Hair Jr. (2014). Partial Least Squares Structural Equation Modeling (PLS-SEM): A Useful Tool for Family Business Researchers. Journal of Family Business Strategy, 5, 105–15.

Schubring Sandra, Iris Lorscheid, Matthias Meyer, and Christian M. Ringle. (2016). The PLS Agent: Predictive Modeling with PLS-SEM and Agent-Based Simulation. Journal of Business Research, 69, 4604–12.