Table 4 Variable descriptions and descriptive statistics.

From: Big data products and income inequality of e-commerce farmers: evidence from China

Variables

Descriptions

Mean

S.D.

E-commerce farmers’ income inequality

Kakwani individual relative deprivation index of the mean scores of all measurement items ranged from 1 to 5

0.123

0.143

Entrepreneurial alertness inequality

Kakwani individual relative deprivation index of the mean scores of all measurement items ranged from 1 to 5

0.117

0.138

Dynamic capabilities inequality

Kakwani individual relative deprivation index of the mean scores of all measurement items ranged from 1 to 5

0.110

0.129

Whether or not to use big data products

Yes=1, No=0

0.487

0.500

Usefulness of big data products

The mean scores of all measurement items ranged from 1 to 5

3.951

0.851

Ease of use of big data product

The mean scores of all measurement items ranged from 1 to 5

3.631

0.862

Experience of big data products

The mean scores of all measurement items ranged from 1 to 5

3.404

0.591

Gender

Male =1, female =0

0.505

0.501

Age

Under 30 = 1, 30–50 = 2, over 50 = 3

1.660

0.536

Education

Senior high school/technical secondary school or below =1, junior college/bachelor degree =2, bachelor degree or above =3

1.914

0.684

Whether a CPC member or not

Yes=1, No=0

0.199

0.399

Whether enterprise operation or not

Yes=1, No=0

0.259

0.439

Whether registered trademark or not

Yes=1, No=0

0.364

0.482

Duration of e-commerce business

Less than 2 years =1, 2–5 years =2, more than 5 years =3

1.742

0.774

Main e-commerce formats

New e-commerce business formats=1, traditional e-commerce business formats=0

0.586

0.844

Main product types

Agricultural products =1, non-agricultural products =0

0.273

0.446