Table 2 Summary statistics of variables in the econometric model.
From: Influence of energy poverty on agricultural water efficiency using a panel data study in China
Var name | Indicator | Measure | Mean | SD | Min | Max |
|---|---|---|---|---|---|---|
Agricultural water efficiency | AWE | Calculated from the DEA | 0.025 | 0.935 | 0.337 | 0.180 |
Energy poverty | EP | According to the study of Zhao et al. (2021) | 0.205 | 0.858 | 0.473 | 0.136 |
Degree of water-saving irrigation | SAVE | Proportion of water-saving irrigation area to total arable land area | 0.036 | 1.000 | 0.253 | 0.219 |
Education level in rural areas | EDU | Percentage of population with high school or higher education | 0.027 | 0.359 | 0.107 | 0.048 |
Grain size per capital | GSC | The total area sown divided by the number of people employed in agricultural production (thousand hectare / 10 thousand people) | 2.478 | 24.692 | 5.917 | 3.030 |
Water resource adequacy | WRA | Measured by dividing the regional water resources by the area sown to crops (100 million m3/thousand hectare) | 0.007 | 1.578 | 0.260 | 0.297 |
Urbanization | URB | Percentage of population with high school or higher education | 0.269 | 1.295 | 0.539 | 0.153 |
