Table 2 Variable definitions and computation methods.

From: Understanding the regional dynamics and determinants of urban cultural facilities in the Yangtze River Economic Belt, China

Variables

Code

Indicator sources

Data sources

Calculation method

Economic development

 Per capita GDP

X1

(Scott, 2004)

Change from 2013 to 2021

 Per capita consumption expenditure of urban residents

X2

(Vyavahare and Deshmukh 2018)

Change from 2013 to 2021

 Domestic tourism revenue

X3

(Bille and Schulze, 2006)

Change from 2013 to 2021

Population demand

 Population Size

X4

(Woronkowicz, 2013)

Change from 2012 to 2020

 Urbanization rate

X5

(Chang et al., 2023)

Change from 2013 to 2021

 The number of undergraduate and junior college students on campus

X6

(Çelik and Akyol (2015))

Change from 2013 to 2021

Policy support

 Urban Hierarchy Status

X7

(Kong, 2007)

Municipalities, provincial capitals, and sub-provincial cities = 1; other cities = 0.

 Education expenditure in the general public budget

X8

(Mosaferi et al., 2021)

Change from 2013 to 2021

 The scientific and technological investment in the general public budget

X9

(Mosaferi et al., 2021)

Change from 2013 to 2021

Innovativeness

 The amount of invention patents granted

X10

(Romanchukov and Berestneva, 2018)

Change from 2013 to 2021

 The employment of scientific research and technical service industry

X11

(Bakhshi and Throsby, 2012)

Change from 2013 to 2021

 General institutes of higher education

X12

(Altintas and Kutlu, 2021)

Change from 2013 to 2021

  1. Considering the adjustment of administrative divisions, in order to maintain the consistency of the data of 2 years, the data of Laiwu City in 2013 was incorporated into Jinan City for statistics. China City Statistical Yearbook (2013 and 2021); LandScan Global Population Database, 2012 and 2020; Statistical Yearbook of 16 Provinces and Shanghai and Chongqing in the YREB(Anelli and Tajani).