Table 4 Descriptive statistics of standardized variables.

From: The impact and moderating mechanisms of digital inclusive finance on public services in Chinese counties

Variable Type

Variable Symbol and Name

Sample Size

Mean

Median

Standard Deviation

Minimum

Maximum

Dependent variables

Livser (People’s Livelihood Public Service Quality Index)

21,675

0.0730

0.0670

0.0290

0.0270

0.247

Infser (Infrastructure Public Service Quality Index)

21,675

0.171

0.160

0.0540

0.0710

0.410

Explanatory variables

Dig (digital inclusive finance)

21,675

0.715

0.760

0.169

0.0100

1

Moderator variables

Pri (per capita primary industry output value)

21,675

0.283

0.232

0.187

0.0100

1

Rev (per capita local fiscal revenue)

21,675

0.0640

0.0300

0.104

0.0100

1

Control variables

pGDP (per capita GDP)

21,675

0.129

0.0820

0.146

0.0100

1

Consum (per capita commodity consumption)

21,675

0.286

0.254

0.140

0.0100

1

Sec (secondary industry employees per ten thousand people)

21,675

0.407

0.378

0.202

0.0100

1

Ter (tertiary industry employees per ten thousand people)

21,675

0.321

0.286

0.176

0.0100

1

Loan (per capita financial loan amount)

21,675

0.136

0.109

0.106

0.0100

1

Den (population density)

21,675

0.284

0.265

0.183

0.0100

1

Construc (construction land area per ten thousand people)

21,675

0.266

0.253

0.167

0.0100

1

Culti (cultivated land area per ten thousand people)

21,675

0.151

0.114

0.122

0.0100

1

Air (air flow coefficient)

21,675

0.344

0.285

0.255

0.0100

1