Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2023.2206471
Tourism industry and employment generation in emerging seven economies: evidence from novel panel methods
Jinfang Zhao
Dongxu Yang
Xia Zhao
Minghua Lei
Sažetak
To analyze E-7 economies, the authors employ panel data and relevant
panel data econometrics approaches for long-run relationships
Mean group, fully modified and dynamic OLS (MG, FMOLS,
DOLS) to monitor changes over time between variables, which is
important in actual studies. The models’ primary findings are as follows:
The panel cointegration tests confirm log-run associations
among the targeted variables. International tourism has the largest
influence on creating direct jobs in the tourist industry. The control
variables like FDI and TI increase employment opportunities in the
targeted economies. Furthermore, the results confirm that total
natural resources reduce employment services in the E-7 economies.
Other factors that might affect the performance of the tourist
activity are not included in the model. Furthermore, given the availability
of official and consistent data, it only includes what has been
recorded up to 2020; our target was 2022, but due to data limitation,
it covers 2020. The objective is to assess both the significance
of tourist-related activities in creating jobs and the effect of tourism
on country-level factors where public policy may influence economic
activity.
Ključne riječi
Sustainable economic performance; foreign direct investment; technological innovation; FMOLS; DOLS
Hrčak ID:
314879
URI
Datum izdavanja:
19.6.2023.
Posjeta: 426 *