Table 2 Rice, GDP, and demographic predictors of chair moving.

Note that models are HLMs using the binomial GLMER function. Data are grouped at the city level, except for the bottom two models, which are grouped at the district level. See table S11 for models with districts nested in cities.

B/γSEzP
Percent rice−1.860.44−4.19<0.001
Employee1.930.306.52<0.001
Below 40 years old0.030.380.090.928
Female (civilians only)−1.060.44−2.410.016
Employee2.030.316.57<0.001
Female−0.460.30−1.510.131
Percent rice−2.020.48−4.24<0.001
Employee2.030.355.80<0.001
Female−4.530.31−1.470.141
City GDP per capita (10,000 RMB)−0.020.17−0.130.895
Percent rice−1.990.51−3.91<0.001
Employee2.070.326.53<0.001
Female−0.460.32−1.460.145
District GDP per capita (10,000 RMB)0.020.020.940.347
Percent rice−2.300.62−3.69<0.001
Employee2.100.326.65<0.001
Female−0.410.32−1.270.205
District population density−0.010.10−0.120.902
Percent rice−1.960.74−2.640.008