Table II.

Description of variables

VariableDefinition
Q-periodDependent variable in the probit model
1 if the chain has at least one certified hotel from 2005 to 2013, 0 otherwise
TrendDependent variable in second stage
Slope (bi) of the least squares line in the regression analysis:
QIit = a + bi t + eit
where:
QIit = proportion of hotels of the chain i that are certified in the period t
a = intercept
bi = slope estimated for hotel chain i
t = time variable (from 2005 = 0 to 2013 = 8)
eit = residual term
SizeLogarithm of the total number of hotels
UrbanPercentage of hotels located in urban destinations: capital of the province (and its metropolitan area) and settlements with more than 50,000 inhabitants
CategoryAverage star category weighted by the number of rooms in each category
Cat_squaredSquared-category
ForeignFs: Proxy for the proportion of foreign customers of the hotel chain s:
Fs=Σ (PFr×XsrXs)
where:
PFr: proportion of foreign tourists in Autonomous Community r
Xsr: number of hotels owned by chain (s) in Autonomous Community (r)
Xs: number of hotels owned by chain (s) in Spain
RegionalRs: Proxy for the proportion of regional customers of the hotel chain s:
Rs=Σ (PRr×XsrXs)
where:
PRr: proportion of regional tourists in Autonomous Community r
Xsr: number of hotels owned by chain (s) in Autonomous Community (r)
Xs: number of hotels owned by chain (s) in Spain
ConcentrationLocation coefficient (LCs):
0 ≤ LCs ≤ 1
LCs=Σ12|XsrXsXrX|
where:
Xsr: number of hotels owned by chain (s) in Autonomous Community (r)
Xs: number of hotels owned by chain (s) in Spain
Xr: number of hotels in Autonomous Community (r) (number of hotels owned by all chains in the sample in that community)
X: number of hotels in Spain (number of hotels owned by all chains in the sample)
PriceAverage rate weighted by the number of rooms. Based on the minimum rate in euros for a double room, breakfast not included, in each hotel of a single chain
AgeAge of the firm in years

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