Modelling productivity shocks and economic growth using the Bayesian dynamic stochastic general equilibrium approach

Authors: Blake, A., Liu, A. and Song, H.

Editors: Assaf, A.

http://eprints.bournemouth.ac.uk/30428/

http://www.emeraldinsight.com/journal/ijchm

Journal: International Journal of Contemporary Hospitality Management

Publisher: Emerald Group Publishing Ltd.

ISSN: 0959-6119

DOI: 10.1108/IJCHM-10-2017-0686

Most existing studies on the impact of tourism on economic growth adopt an econometric approach that is insufficient to confirm that tourism actually leads to economic growth. Moreover, it cannot explain the causalities of different variables. Taking Mauritius as an example, this study uses the dynamic stochastic general equilibrium approach to investigate the contribution of tourism to economic growth when there is a productivity shock in the tourism sector.

A two-sector, small, open economy is modelled under the Dynamic Stochastic General Equilibrium framework. The model is estimated using the Bayesian method based on real tourism and macroeconomic data from Mauritius for the period from 1999 to 2014. The impulse response functions are used to simulate the contribution of tourism to economic growth when there is a productivity shock in the tourism sector.

The simulation results show that the Mauritian GDP would increase by 0.09% if the productivity of tourism improved by 1%, indicating that tourism could lead to economic growth. Considering the average annual growth rate of the Mauritian GDP, the contribution of tourism to its economic growth is significant. Furthermore, the effects of tourism on economic growth are moderated by price elasticities in international tourism demand.

This is the first study that estimates the dynamic stochastic general equilibrium model using the Bayesian method. By correcting the prior information with real tourism and macroeconomic data, the estimation and simulation results are more robust compared with the calibration method, which has been used frequently in tourism studies.

This data was imported from Scopus:

Authors: Liu, A., Song, H. and Blake, A.

http://eprints.bournemouth.ac.uk/30428/

Journal: International Journal of Contemporary Hospitality Management

Volume: 30

Issue: 11

Pages: 3229-3249

ISSN: 0959-6119

DOI: 10.1108/IJCHM-10-2017-0686

© 2018, Emerald Publishing Limited. Purpose: Most existing studies on the impact of tourism on economic growth adopt an econometric approach that is insufficient to confirm that tourism actually leads to economic growth. Moreover, it cannot explain the causalities of different variables. Taking Mauritius as an example, this study aims to use the dynamic stochastic general equilibrium approach to investigate the contribution of tourism to economic growth when there is a productivity shock in the tourism sector. Design/methodology/approach: A two-sector, small, open economy is modelled under the dynamic stochastic general equilibrium framework. The model is estimated using the Bayesian method based on real tourism and macroeconomic data from Mauritius for the period from 1999 to 2014. The impulse response functions are used to simulate the contribution of tourism to economic growth when there is a productivity shock in the tourism sector. Findings: The simulation results show that the Mauritian gross domestic product (GDP) would increase by 0.09 per cent if the productivity of tourism is improved by 1 per cent, indicating that tourism could lead to economic growth. Considering the average annual growth rate of the Mauritian GDP, the contribution of tourism to its economic growth is significant. Furthermore, the effects of tourism on economic growth are moderated by price elasticities in international tourism demand. Originality/value: This is the first study that estimates the dynamic stochastic general equilibrium model using the Bayesian method in tourism economic field. By correcting the prior information with real tourism and macroeconomic data, the estimation and simulation results are more robust compared with the calibration method, which has been used frequently in tourism studies.

This data was imported from Web of Science (Lite):

Authors: Liu, A., Song, H. and Blake, A.

http://eprints.bournemouth.ac.uk/30428/

Journal: INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT

Volume: 30

Issue: 11

Pages: 3229-3249

eISSN: 1757-1049

ISSN: 0959-6119

DOI: 10.1108/IJCHM-10-2017-0686

The data on this page was last updated at 04:57 on June 24, 2019.