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The Effect of Monetary Policy and Private Investment on Green Finance: Evidence from Hungary

Author

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  • Goshu Desalegn

    (Doctoral School of Economics and Regional Sciences, Hungarian University of Agriculture and Life Sciences, Páter Károly u. 1, 2100 Gödöllő, Hungary)

  • Maria Fekete-Farkas

    (Institute of Agricultural and Food Economics, Hungarian University of Agriculture and Life Sciences, Páter Károly u. 1, 2100 Gödöllő, Hungary)

  • Anita Tangl

    (Institute of Rural Development and Sustainable Economy, Szent István Campus, Hungarian University of Agriculture and Life Sciences, Páter Károly u. 1, 2100 Gödöllő, Hungary)

Abstract

The objective of this study was to examine the effect of monetary policy and private investment on green finance in the case of Hungary. The study used an explanatory research design and a quantitative research approach. Quarterly secondary time series data over 8 years (2013–2020) were utilized. More specifically, the study used Johnson co-integration test and vector error correction model to investigate the long and short-run relationship among variables. The study’s findings imply that monetary policy, as measured by interest rates and the broad money supply, has a mixed effect on the level of green financing. Interest rates, in particular, have a negative and significant relationship with green finance in both the long and short run. However, a broad money supply has a positive but insignificant relationship with green finance in the long run. Private investment has a positive and significant relationship with green financing in both the long and short run. The study also used inward and outward foreign direct investment, and greenhouse gas as a control variable of the study. The study finding implies that inward foreign direct investment has a positive and significant relationship with green financing in both the long and short run. On the other hand, outward foreign direct investment and the level of greenhouse gas have a negative and significant relationship with green finance in both the long and short run. The study also discovered that over time series, disturbance in domestic private investment was the most determinant factor in forecast error variance of green financing. In addition, the result of document analysis shows that the majority of Hungarian credit institutions are dealing with their corporate strategy rather than their sustainability strategy. Hence, progressive approaches are needed from the credit institution to frame their strategy under the concept of sustainable development goals. The finding of this study will contribute to the existing literature on the study area, provide suggestions on green finance and green monetary policy approaches, provide implications on key stakeholders of green financing, as well as the experience of different economies. The study advises central banks, credit institutions, and regulatory authorities to consider both neoliberal and reformist approaches of green finance and green monetary policies in aid to increase green investment.

Suggested Citation

  • Goshu Desalegn & Maria Fekete-Farkas & Anita Tangl, 2022. "The Effect of Monetary Policy and Private Investment on Green Finance: Evidence from Hungary," JRFM, MDPI, vol. 15(3), pages 1-18, March.
    • Handle: RePEc:gam:jjrfmx:v:15:y:2022:i:3:p:117-:d:763467
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    References listed on IDEAS

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    Cited by:

    1. Ye, Wuyi & Hu, Chenglong & Guo, Ranran, 2024. "Tail risk network of Chinese green-related stocks market," Finance Research Letters, Elsevier, vol. 67(PB).
    2. Tingguo Zheng & Hongyin Zhang & Shiqi Ye, 2024. "Monetary Policies on Green Financial Markets: Evidence from a Multi-Moment Connectedness Network," Papers 2405.02575, arXiv.org, revised Oct 2024.
    3. Tufail, Saira & Alvi, Shahzad & Hoang, Viet-Ngu & Wilson, Clevo, 2024. "The effects of conventional and unconventional monetary policies of the US, EU, and China on global green investment," Energy Economics, Elsevier, vol. 134(C).
    4. Jawadi, Fredj & Rozin, Philippe & Cheffou, Abdoulkarim Idi, 2024. "Toward green central banking: Proposing an augmented Taylor rule," Energy Economics, Elsevier, vol. 134(C).
    5. Goshu Desalegn & Anita Tangl & Maria Fekete-Farkas, 2022. "From Short-Term Risk to Long-Term Strategic Challenges: Reviewing the Consequences of Geopolitics and COVID-19 on Economic Performance," Sustainability, MDPI, vol. 14(21), pages 1-22, November.
    6. Lin, Boqiang & Pan, Ting, 2024. "Whether green credit is effecitve: a study based on stock market," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 261-274.
    7. Zheng, Tingguo & Zhang, Hongyin & Ye, Shiqi, 2024. "Monetary policies on green financial markets: Evidence from a multi-moment connectedness network," Energy Economics, Elsevier, vol. 136(C).
    8. Goshu Desalegn & Anita Tangl, 2022. "Enhancing Green Finance for Inclusive Green Growth: A Systematic Approach," Sustainability, MDPI, vol. 14(12), pages 1-13, June.
    9. Wang, Jialu & Mishra, Shekhar & Sharif, Arshian & Chen, Huangen, 2024. "Dynamic spillover connectedness among green finance and policy uncertainty: Evidence from QVAR network approach," Energy Economics, Elsevier, vol. 131(C).
    10. Pejman Peykani & Mostafa Sargolzaei & Amir Takaloo & Shahla Valizadeh, 2023. "The Effects of Monetary Policy on Macroeconomic Variables through Credit and Balance Sheet Channels: A Dynamic Stochastic General Equilibrium Approach," Sustainability, MDPI, vol. 15(5), pages 1-21, March.
    11. Xin Yun & Yang Hu, 2024. "An Overview of the Evolution in the Research Landscape of Green Finance," World, MDPI, vol. 5(4), pages 1-32, December.

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