scholarly journals How does AirBnb affect local Spanish tourism markets?

2021 ◽  
Author(s):  
Juan Luis Jiménez ◽  
Armando Ortuño ◽  
Jorge V. Pérez-Rodríguez
Keyword(s):  
Data Model ◽  
Positive Relationship ◽  
Dynamic Panel Data ◽  
Occupancy Rate ◽  
Dynamic Panel ◽  
Large Cities ◽  
Dynamic Panel Data Model ◽  
Occupancy Rates ◽  
Overnight Stays ◽  
The City

AbstractThis paper analyses the effects of AirBnb on the size of local tourism markets using AirBnb occupancy rates and hotel overnight stays in order to explore the causal relationship in several Spanish cities. A dynamic panel data model is applied at the city level (2014–2017). Our findings show a positive relationship between the increase in the number of properties offered on AirBnb and the implicit volume of tourists received by each city, specifically in two large cities (Madrid and Barcelona), due to higher AirBnb occupancy rate.

scholarly journals Currency Crises and Growth

2018 ◽  
Vol 10 (3) ◽  
pp. 83
Author(s):  
Arafat Hamida
Keyword(s):  
Economic Growth ◽  
Data Model ◽  
Currency Crises ◽  
Dynamic Panel Data ◽  
Impulse Response Functions ◽  
Response Functions ◽  
Short Term ◽  
Dynamic Panel ◽  
Dynamic Panel Data Model ◽  
Negative Effect

The purpose of this research is to study the effect of currency crises on economic growth. To do this, we opted for a dynamic panel data model and impulse response functions for a sample of seventeen emerging countries over a period from 1980 to 2014. The main results of the various empirical investigations show that there is a Negative effect of currency crises on short-term economic growth.

Sign in / Sign up

Export Citation Format

Share Document