Table 1 Definitions of variables.
From: How do Taoist thoughts influence big data technological innovation? Empirical evidence from China
Variable | Variable | Definition | Reference | |
---|---|---|---|---|
Dependent variables | Big data technology innovation | DTCH | Ln (1 + authorised number of big data technology patents) sourced from Smart Teeth (www.zhihuiya.com) | Bian et al. (2019) |
rDTCH | Ln (1 + number of patent applications for big data technology) sourced from Smart Teeth (www.zhihuiya.com) | |||
Independent variables | Proliferation of Taoist thoughts | TAO | Ln (number of Taoist places of worship) sourced from the National Religious Affairs Administration | Chen et al. (2023a), Chen and Zhang (2023), Yuan (2019) |
rTAO | Number of Taoist places of worship normalised and collected from the National Religious Affairs Administration | |||
Control variables | Economic development level | PGDP | Ln (real GDP per capita) (based on 2011 data) collected from the National Bureau of Statistics | |
Foreign direct investment | PFDI | FDI/GDP collected from the National Bureau of Statistics | ||
Industrial structure level | INSR | 1 \({{\times }}\) proportion of the city’s primary industry + 2 \({{\times }}\) proportion of the city’s secondary industry + 3 \({{\times }}\) proportion of the city’s tertiary industry collected from the National Bureau of Statistics | ||
Financial development level | FSIZ | Loan balance/GDP, sourced from the National Bureau of Statistics and the People’s Bank of China | ||
Technology expenditure | SCPT | Government budget expenditure on scientific and technological activities/GDP, sourced from the National Bureau of Statistics | Li and Yang (2019) | |
Human resource level | HCAP | Number of college students/total population collected from the National Bureau of Statistics | ||
Other levels of technological innovation in the city | INNO | (Total number of patent applications the number of non-big data technology patent applications)/total population, sourced from the National Bureau of Statistics | Yao and Wu (2022) |