Research Article

Research on the Evaluation Model of Rural Information Demand Based on Big Data

Table 9

Probit regression results.

Factor nameRegression coefficientStandard errorWald test valueSaliency probability

Fixed coverage of administrative villages X10.1760.2870.3610.073
Optical fiber length per 100 square kilometers X30.3841.2360.4450.129
TV coverage rate X40.2790.8830.7500.069
Number of information talents per 10000 people X50.7830.1760.1150.230
The number of computers per 100 households in rural areas X70.2120.4781.0040.176
The number of TV sets per 100 households in rural areas X80.3340.5790.6680.097
The number of mobile phones per 100 households in rural areas X90.9130.3360.6540.209
Rural per capita postal volume X110.5920.4480.7900.075
Fixed investment in the information industry accounts for the proportion of fixed asset investment in the whole society X130.3980.6670.0850.148
Sex X14-1.0230.3690.9810.668
Age X150.3590.7830.2450.189
Marital status X16-1.3820.4500.6950.033
Health X17-0.6590.5600.2350.439
Cultural level X180.7850.2070.6380.091
Occupation X19-3.7720.6970.3460.087
Experience of going out for work X21-2.9100.4580.4420.037
Number of family members X220.7090.4300.6750.127
Number of family labor force X230.5590.6500.2830.076
Number of male family members X240.3890.4520.1090.087
Number of family members X250.6690.1271.2450.343
Source of family income X260.9450.4572.3310.061
Family happiness index X270.7750.4510.6090.108
Per capita income of farmers X280.7070.5320.2460.079
Per capita disposable income of farmers X300.4090.6103.0260.417
Distance from provincial highway X32-1.7310.7960.4580.065
Distance from town center X33-1.0880.5690.3370.098
Distance from county center X34-3.9520.4800.6390.112
Knowledge of information X350.5150.7073.0410.046
Awareness of information acceptance X360.7380.4492.0640.032
The ability to receive information X370.8930.6491.3720.018
National informatization policy X380.7760.9850.6890.050