Table 2 Descriptive statistical analysis of variables.
From: The impact of energy structure on agricultural green productivity in China
Variable name(Variable symbol) | Minimum | Maximum | Average | Standard deviation | Observations | ||
|---|---|---|---|---|---|---|---|
Explained variable | Agricultural green productivity(AGP) | overall | 0.2348 | 1.068 | 0.4239 | 0.1184 | N = 450 |
between | 0.2905 | 0.5830 | 0.0767 | N = 30 | |||
within | 0.2316 | 0.9855 | 0.0912 | T = 15 | |||
Explanatory variable | Energy structure(eng) | overall | 0.0392 | 0.9396 | 0.7384 | 0.1429 | N = 450 |
between | 0.3869 | 0.9233 | 0.1353 | N = 30 | |||
within | 0.3906 | 0.9702 | 0.0516 | T = 15 | |||
Control variable | Per capita disposable income in rural areas (ln) r_inc | overall | 7.648 | 10.46 | 9.07 | 0.5737 | N = 450 |
between | 8.556 | 9.830 | 0.3167 | N = 30 | |||
within | 8.091 | 9.829 | 0.4815 | T = 15 | |||
Forest cover(for) | overall | 2.94 | 66.80 | 32.34 | 17.98 | N = 450 | |
between | 4.148 | 65.57 | 17.90 | N = 30 | |||
within | 18.15 | 41.07 | 3.57 | T = 15 | |||
Damage from natural disasters(dis) | overall | 0 | 0.70 | 0.19 | 0.1463 | N = 450 | |
between | 0.0426 | 0.37 | 0.0795 | N = 30 | |||
within | − 0.1195 | 0.6617 | 0.1235 | T = 15 | |||
Average years of education in rural areas(r_edu) | overall | 5.74 | 9.84 | 7.66 | 0.6220 | N = 450 | |
between | 6.286 | 9.177 | 0.5642 | N = 30 | |||
within | 6.744 | 8.597 | 0.2799 | T = 15 | |||
Industrial structure(is) | overall | 2.29 | 372.67 | 23.36 | 51.06 | N = 450 | |
between | 3.143 | 210.67 | 46.81 | N = 30 | |||
within | -75.61 | 190.39 | 22.00 | T = 15 | |||
Urbanization(urb) | overall | 0.27 | 0.94 | 0.55 | 0.1368 | N = 450 | |
between | 0.3733 | 0.8786 | 0.1263 | N = 30 | |||
within | 0.4400 | 0.7100 | 0.0570 | T = 15 |