不同地区城镇居民收入对食品消费水足迹的影响——基于QUAIDS模型
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杨鑫, 穆月英
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Impact of urban residential income on consumptive water footprints of food in different regions based on QUAIDS modeling
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Xin YANG, Yueying MU
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| 表2 不同地区食品支出弹性和收入弹性估计结果 |
| Table 2 The estimation results of expenditure elasticity and income elasticity of food in different regions |
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| 地区 | 粮食 | 油脂 | 肉类 | 蛋类 | 水产品 | 蔬菜 | 酒类 | 瓜果 | 乳品 | | 支出弹性 | 东北部 | 0.547 | 0.523 | 0.961 | 0.401 | 1.532 | 0.929 | 1.174 | 1.220 | 1.857 | | (0.061) | (0.070) | (0.076) | (0.097) | (0.153) | (0.065) | (0.131) | (0.081) | (0.115) | | 东部 | 0.522 | 0.485 | 0.865 | 0.128 | 1.293 | 0.795 | 1.327 | 1.516 | 1.643 | | (0.090) | (0.104) | (0.071) | (0.123) | (0.100) | (0.055) | (0.128) | (0.077) | (0.114) | | 中部 | 0.492 | 0.551 | 1.016 | 0.503 | 1.637 | 1.024 | 1.029 | 1.186 | 1.810 | | (0.055) | (0.057) | (0.056) | (0.084) | (0.181) | (0.046) | (0.105) | (0.080) | (0.092) | | 西部 | 0.411 | 0.479 | 1.073 | 0.518 | 1.766 | 1.148 | 0.870 | 0.981 | 1.840 | | (0.059) | (0.074) | (0.045) | (0.121) | (0.267) | (0.045) | (0.102) | (0.065) | (0.085) | | 收入弹性 | 东北部 | 0.437 | 0.418 | 0.768 | 0.320 | 1.224 | 0.742 | 0.938 | 0.975 | 1.484 | | (0.085) | (0.087) | (0.136) | (0.093) | (0.229) | (0.128) | (0.182) | (0.167) | (0.252) | | 东部 | 0.386 | 0.359 | 0.640 | 0.095 | 0.956 | 0.588 | 0.981 | 1.121 | 1.215 | | (0.071) | (0.081) | (0.067) | (0.091) | (0.097) | (0.056) | (0.115) | (0.093) | (0.116) | | 中部 | 0.405 | 0.454 | 0.836 | 0.414 | 1.348 | 0.843 | 0.847 | 0.976 | 1.490 | | (0.050) | (0.052) | (0.063) | (0.072) | (0.164) | (0.057) | (0.097) | (0.083) | (0.107) | | 西部 | 0.349 | 0.406 | 0.910 | 0.439 | 1.498 | 0.974 | 0.738 | 0.832 | 1.561 | | (0.059) | (0.072) | (0.088) | (0.110) | (0.262) | (0.093) | (0.108) | (0.091) | (0.154) |
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