基于DEA-Tobit模型的中国县域污水处理服务减排效率测评
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李鑫, 孙小霞, 苏时鹏
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Emissions reduction efficiency of sewage treatment services in county areas in China based on DEA-Tobit Modeling
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Xin LI, Xiaoxia SUN, Shipeng SU
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表2 各地区DEA评价结果及各投入要素情况 |
Table 2 DEA evaluation results and input factors in different regions |
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| 区域 | Ⅰ区 | Ⅱ区 | Ⅲ区 | Ⅳ区 | Ⅴ区 | 全国 | 效率单元 | 决策单元/个 | 61 | 86 | 197 | 55 | 14 | 413 | | 占比/% | 14.76 | 20.82 | 47.69 | 13.31 | 3.39 | 100 | 综合效率 | 平均值 | 0.60 | 0.58 | 0.69 | 0.54 | 0.76 | 0.64 | | 有效单元/个 | 5 | 5 | 21 | 2 | 4 | 37 | | 有效单元占比/% | 8.20 | 5.81 | 10.66 | 3.64 | 28.57 | 8.96 | 技术效率 | 平均值 | 0.76 | 0.69 | 0.76 | 0.81 | 0.85 | 0.76 | | 有效单元/个 | 11 | 9 | 30 | 12 | 9 | 71 | | 有效单元占比/% | 18.03 | 10.47 | 15.23 | 21.82 | 64.29 | 17.19 | 规模效率 | 平均值 | 0.78 | 0.84 | 0.89 | 0.66 | 0.89 | 0.83 | | 有效单元/个 | 6 | 5 | 25 | 2 | 4 | 42 | | 有效单元占比/% | 9.84 | 5.81 | 12.69 | 3.64 | 28.57 | 10.17 | 规模报酬 | 报酬递增 | 49 | 70 | 125 | 53 | 8 | 305 | | 占比/% | 80.33 | 81.40 | 63.45 | 96.36 | 57.14 | 73.85 | | 报酬递减 | 6 | 10 | 46 | 0 | 2 | 64 | | 占比/% | 9.84 | 11.63 | 23.35 | - | 14.29 | 15.50 | | 报酬不变 | 6 | 6 | 26 | 2 | 4 | 44 | | 占比/% | 9.84 | 6.98 | 13.20 | 3.64 | 28.57 | 10.65 | 投入产出及 | 处理能力/(万t/a) | 648.02 | 694.14 | 977.99 | 513.32 | 1 045.98 | 810.57 | 运营情况 | 实际处理量/(万t/a) | 549.96 | 581.86 | 744.00 | 329.81 | 615.49 | 622.06 | | 年耗电量/(万 kWh) | 105.85 | 123.29 | 255.03 | 76.53 | 178.32 | 179.19 | | 年运营费用/万元 | 454.60 | 554.84 | 749.44 | 437.92 | 594.99 | 618.65 | | 雇员数/人 | 24.82 | 29.09 | 41.31 | 19.82 | 36.57 | 33.31 | | BOD5进水浓度/(mg/l) | 59.20 | 65.88 | 129.03 | 94.21 | 209.55 | 103.66 | | COD进水浓度/(mg/l) | 152.78 | 151.43 | 291.41 | 221.42 | 429.00 | 237.13 | | 氨氮进水浓度/(mg/l) | 18.74 | 17.85 | 29.68 | 26.85 | 59.45 | 26.23 | | 运营年限/a | 5.46 | 5.76 | 6.06 | 4.47 | 6.14 | 5.70 | | 负荷率 | 0.87 | 0.85 | 0.74 | 0.64 | 0.61 | 0.76 |
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