Table 1

Variables included in the analysis

VariableDefinitionReference
period
Source
Dependent variable   
Tourist overnight staysTotal annual number of nights that tourists/guests have spent in tourist accommodation establishments (hotel or similar) divided by the total population2010–2014The Cultural and Creative Cities Monitor 2017 – derived from Eurostat (Urban Audit)
Independent variables   
Sights and landmarksPoints of historical, cultural and or artistic interest, such as architectural buildings, religious sights, monuments and statues, churches and cathedrals, bridges, towers and fountains, amongst other things, divided by the total population and then multiplied by 100,0002016The Cultural and Creative Cities Monitor 2017 – derived from TripAdvisor
MuseumsNumber of museums that are open to the public divided by the total population and then multiplied by 100,0002016The Cultural and Creative Cities Monitor 2017 – derived from TripAdvisor
Cinema seatsNumber of cinema seats in the city divided by the total population and then multiplied by 1,0002011–2014The Cultural and Creative Cities Monitor 2017 – derived from Eurostat (Urban Audit)
Concerts and showsNumber of theatres and other music venues (concert halls, clubs, etc.) and current shows divided by the total population and then multiplied by 100,0002016The Cultural and Creative Cities Monitor 2017 – derived from TripAdvisor
TheatresNumber of theatres in the city divided by the total population and then multiplied by 100,0002011–2014The Cultural and Creative Cities Monitor 2017 – derived from Eurostat (Urban Audit)
Satisfaction with cultural facilitiesPercentage of population that is very satisfied with cultural facilities in the city2015The Cultural and Creative Cities Monitor 2017 – derived from Flash Eurobarometer 366 by TNS/EC (Survey on “Quality of life in cities”)
Passenger flightsNumber of passenger flights per day, accessible within 90 min of travel by road, divided by the total population and then multiplied by 100,0002013The Cultural and Creative Cities Monitor 2017 – derived from DG REGIO
Potential road accessibilityComputed indicator based on road network data2012The Cultural and Creative Cities Monitor 2017 – derived from DG REGIO
Direct trains to other citiesAverage hourly number of departures between 6:00 and 20:00 of direct trains to other cities/greater cities divided by the total population and then multiplied by one million2014The Cultural and Creative Cities Monitor 2017 – derived from DG REGIO
Tolerance of foreignersPercentage of the population who very strongly agrees with the statement: “The presence of foreigners is good for this city”2015The Cultural and Creative Cities Monitor 2017 – derived from Flash Eurobarometer 366 by TNS/EC (survey on “Quality of life in cities”)
Quality of governanceComputed indicator measuring the quality of government in three areas of public services: education, health care and law enforcement2013The Cultural and Creative Cities Monitor 2017 – derived from DG REGIO
Capital cityBinary variable = 1 if the city is a capital city, = 0 if notn/aAuthor’s own
GDP per capitaGDP per capita in purchasing power standard. A series of binary variables based on the following categories:
=1 if >35,000, = 0 if not
=1 if 30,000 – 35,000, = 0 if not
=1 if 25,000 – 30,000, = 0 if not
=1 if 20,000 – 25,000, = 0 if not
=1 if < 20,000, = 0 if not
2013 and 2015The Cultural and Creative Cities Monitor 2017 – derived from Eurostat (Regional Statistics) and Urban Data Platform (UDP) based on Eurostat and LUISA Modelling Platform
PopulationPopulation on 1 January. A series of binary variables based on the following categories:
=1 if > 1 million, = 0 if not
=1 if 500,000 – 1 million, = 0 if not
=1 if 250,000 – 500,000, = 0 if not
=1 if 100,000 – 250,000 = 0 if not
=1 if 50,000 – 100,000 = 0 if not
2011–2015 and 2014–2015The Cultural and Creative Cities Monitor 2017 – derived from Eurostat (Urban Audit) and Eurostat (Regional Statistics)
Source: European Commission (2017) 

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