The macroprudential measures for mitigating the effects of the pandemic crisis in tourism economies


Purpose – The paper evaluates the applied macroprudential measures in selected countries by testing their efficiency in tourism and reducing the revenue gap in tourism sector during the pandemic crisis.

Research methodology – The effects of macroprudential policy were tested using the Granger causality test and PVAR model. The research used data from the period 2019 to 2022 by quarters. The impulse response function evaluated the long run impact of macroprudential policy on performance of tourism entities.

Findings – The results confirm the positive effect of systemically important institutions buffer (SIB) on reducing the losses in tourism. The impulse response showed the significant impact of SIB on revenue gap (RG) reduction.

Research limitations – The research has limitations regarding to the short period of observation. The additional variables can be entered into the model.

Practical implications – The results serve the policy makers for shaping the measures for recovery policies and maintaining long-term economic stability. The findings are useful as they can serve as a guide in designing measures to help the tourism recovery.

Originality/Value – The contribution of this study is reflected in providing scientific evidence of macroprudential measures effectiveness for several countries and routing policies for tourism recovery.

Keyword : macroprudential policy, pandemic, tourism economy

How to Cite
Popek Biškupec, P., Herman, S., & Ružić, I. (2022). The macroprudential measures for mitigating the effects of the pandemic crisis in tourism economies. Business, Management and Economics Engineering, 20(1), 79–95.
Published in Issue
Apr 19, 2022
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This work is licensed under a Creative Commons Attribution 4.0 International License.


Abrigo, M. R., & Love, I. (2016). Estimation of panel vector autoregression in Stata. The Stata Journal, 16(3), 778–804.

Aldao, C., Blasco, D., Poch Espallargas, M., & Palou Rubio, S. (2021). Modelling the crisis management and impacts of 21st century disruptive events in tourism: The case of the COVID-19 pandemic. Tourism Review, 76(4), 929–941.

Andrews, D. W., & Lu, B. (2001). Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models. Journal of Econometrics, 101(1), 123–164.

Andries, A. M., Melnic, F., & Sprincean, N. (2021). The effects of macroprudential policies on credit growth. European Journal of Finance.

Atems, B., & Jones, J. (2015). Income inequality and economic growth: A panel VAR approach. Empirical Economics, 48(4), 1541–1561.

Bahovec, V., & Erjavec, N. (2009). Uvod u ekonometrijsku analizu (1 izdanje). Element. Ekonomski fakultet Zagreb.

Bayraktar-Sağlam, B., & Sayek Böke, S. (2017). Labor costs and foreign direct investment: A panel VAR approach. Economies, 5(4), 36.

Benoit, K. (2011). Linear regression models with logarithmic transformations.

Blanchard, O. J., & Quah, D. (1988). The dynamic effects of aggregate demand and supply disturbances. National Bureau of Economic Research.

Bhuiyan, M. A., Crovella, T., Paiano, A., & Alves, H. A. (2021). Review of research on tourism industry, economic crisis and mitigation process of the loss: Analysis on pre, during and post pandemic situation. Sustainability, 13, 10314.

Cao, J., Dinger, V., Grodecka-Messi, A., Juelsrud, R., Zhang, X. (2021). The interaction between macroprudential and monetary policies: The cases of Norway and Sweden. Review of International Economics, 29(1), 87–116.

Choi, I. (2001). Unit root tests for panel data. Journal of international money and Finance, 20(2), 249–272.

De Schryder, S., & Opitz, F. (2021). Macroprudential policy and its impact on the credit cycle. Journal of Financial stability, 58, 100818.

Đorđević, S., Ganjto, T., & Vrenko, V. (2017). Rizičnost velikog udjela deviznog Prihoda od turizma u BDP-u Republike Hrvatske. In ERAZ 2017 (pp. 460–465), Beograd, Srbija.

Eller, M., Martin, R., & Vashold, L. (2021). CESEE’s Macroprudential Policy Response to Covid-19. (SUERF Policy Briefs No 71).

European Banking Authority. (2021). Other Systemically Important Institutions (O-SIIs).

European Central Bank. (2021a). Economic and monetary developments.

European Central Bank. (2021b). Our response to the coronavirus pandemic.

European Central Bank. (2021c). Macroprudential measures taken by national authorities since the outbreak of the coronavirus pandemic.

European Central Bank. (2021d). Macroprudential database.

Eurostat Database. (2021). Economy and finance.

Granger, C. W. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424–438.

Hadri, K. (2000). Testing for stationarity in heterogeneous panel data. The Econometrics Journal, 3(2), 148–161.

Hansen, L. P. (1982). Large sample properties of generalized method of moments estimators. Econometrica, 50(4), 1029–1054.

Harris, R. D., & Tzavalis, E. (1999). Inference for unit roots in dynamic panels where the time dimension is fixed. Journal of Econometrics, 91(2), 201–226.

Holtz-Eakin, D., Newey, W., & Rosen, H. S. (1988). Estimating vector autoregressions with panel data. Econometrica, 56(6), 1371–1395.

Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74.

Kim, S., & Mehrotra, A. (2019). Examining macroprudential policy and its macroeconomic effects – some new evidence (BIS Working Papers No 825).

Kukanja, M., Planinc, T., & Sikošek, M. (2020) Crisis management practices in tourism SMEs during the Covid-19 pandemic. Organizacija, 53(4), 346–361.

Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1–24.

Martínez-Hernández, C., Mínguez, C., & Yubero, C. (2021) Archaeological sites as peripheral destinations. Exploring Big Data on fieldtrips for an upcoming response to the tourism crisis after the pandemic. Heritage 2021, 4, 3098–3112.

Mikac, R., & Kravaršćan, K. (2021) Croatian tourism sector and crisis management – A case study related to the Covid-19 pandemic. Tourism, 69(4), 611–629.

Motevalli-Taher, F., & Paydar, M. M. (2021). Supply chain design to tackle coronavirus pandemic crisis by tourism management. Applied Soft Computing, 104, 107217.

National Tourism Policy. (2015).

Niestadt, M. (2020). EU tourism sector during the coronavirus crisis. (European Parliamentary Research Service PE 652.008). European Parliament.

OECD. (2011). Attractiveness and promotion of Italy as a tourism destination.

OECD. (2020a). OECD Tourism Trends and Policies 2020. Portugal.

OECD. (2020b). OECD Tourism Trends and Policies 2020. Spain.

Papatheodorou, A., & Arvanitis, P. (2014). Tourism and the economic crisis in Greece: Regional perspectives. Région et développement, 39, 183–203.

Popek Biškupec, P., & Bilal Zorić, A. (2017). Optimizacija korištenja instrumenata monetarne i makroprudencijalne politike u svrhu očuvanja stabilnosti financijskog sustava, Zbornik Ekonomskog fakulteta u Zagrebu, 15(1), 31–49.

Popek Biškupec, P. (2015). Utjecaj makroprudencijalnih instrumenata na kreditnu aktivnost banaka u zemljama Srednje i Istočne Europe. Zbornik Ekonomskog fakulteta u Zagrebu, 13(2), 85–101.

Popek Biškupec, P., & Herman, S. (2021). The effectiveness and constraints of monetary policy in pandemic times. SHS Web of Conferences, 92, 07050.

Robina-Ramírez, R., Sánchez, M.S.-O., Jiménez-Naranjo, H. V., & Castro-Serrano, J. (2021). Tourism governance during the COVID-19 pandemic crisis: A proposal for a sustainable model to restore the tourism industry. Environment, Development and Sustainability.

Simionescu, M. (2015). The impact of economic crisis on inflation convergence in the European Union. A panel data approach. CEA Journal of Economics, 10(1).

Takats, E., & Temesvary, J. (2021). How does the interaction of macroprudential and monetary policies affect cross-border bank lending? Journal of International Economics, 132, 103521.

The Commonwealth. (2021). Tourism and COVID-19: Mapping a way forward for small states.

Traoré, M. (2018). Government spending and inclusive growth in Sub-Saharan Africa: A panel VAR analysis.

World Travel and Tourism Council. (2021). Economic impact reports.

The World Bank. (2022). International tourism number of arrivals.