Input and Output Efficiency Evaluation of Agricultural Development in Binzhou City Based on BCC Model
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摘要:
以滨州市2009-2020年的统计数据为研究样本,构建农业投入产出评价指标体系,采用BCC模型分析农业投入产出效率。结果表明,滨州市农业投入产出的综合效率较高,并且纯技术效率高于规模效率,滨州市农业投入产出的综合效率对于纯技术效率具有较强的依赖性。总体上,滨州市农业投入产出效率较高,受规模化影响较大,存在一定程度的投资冗余和管理问题。今后,应加大农业科技投入,扩大农业生产规模。
Abstract:Taking statistical data of Binzhou City from 2009 to 2020 as research sample, constructing agricultural input-output evaluation index system, the BCC model was used to analyze agricultural input and output efficiency. The BCC model analysis showed that comprehensive efficiency(
CE )of agricultural input and output in Binzhou was higher, and pure technical efficiency(PTE )was higher than scale efficiency(SE ).PTE had a strong dependence. The overall analysis showed that Binzhou's agricultural input-output efficiency was relatively high, which was greatly affected by scale, and there was a certain degree of investment redundancy and management problems. Investment in agricultural science and technology should be increased to expand the scale of agricultural production.-
Keywords:
- BCC model /
- Binzhou /
- agriculture /
- input and output efficiency
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表 1 滨州市农业发展投入产出效率指标体系
Table 1. Index system of input and output efficiency of agricultural development in Binzhou City
一级指标 二级指标 单位 投入指标 农作物总播种面积X1 万hm2 农业机械总动力X2 万kW 农业有效灌溉面积X3 万hm2 化肥施用折纯量X4 t 产出指标 农林牧渔总产值Y1 万元 粮食作物总产值Y2 万元 表 2 滨州市农业发展投入产出指标数据
Table 2. Input and output index data of agricultural development in Binzhou City
年份 农林牧渔总产值/
万元粮食作物总产值/
万元农作物总播种面积/
万hm2农业机械总动力/
万kW农业有效灌溉面积/
万hm2农业化肥
施用量/t2009 2629490 571832 60.26 520.26 29.20 215529 2010 3004112 576518 61.41 546.21 30.63 211545 2011 3462442 658633 62.75 567.91 31.07 208380 2012 3703619 637766 61.83 579.50 31.07 211775 2013 4095118 754412 60.45 591.54 36.15 209287 2014 4303284 801083 60.27 613.44 37.16 224541 2015 4495838 821913 60.15 628.28 37.24 234978 2016 4858382 922229 58.42 421.35 37.59 228048 2017 4580169 742504 68.54 438.09 37.89 217562 2018 4653881 853747 69.62 461.65 38.16 198964 2019 4543307 739972 66.33 479.22 38.16 196031 2020 4822783 868768 66.16 498.47 38.23 183402 表 3 2009-2020年滨州市农业发展投入产出效率分析
Table 3. Analysis of input and output efficiency of agricultural development in Binzhou City from 2009 to 2020
年份 综合效率 纯技术效率 规模效率 规模报酬情况 2009 0.798 1.000 0.798 递增 2010 0.767 0.997 0.77 递增 2011 0.864 1.000 0.864 递增 2012 0.922 1.000 0.922 递增 2013 0.881 1.000 0.881 递增 2014 0.896 0.983 0.912 递增 2015 0.934 0.976 0.957 递增 2016 1.000 1.000 1.000 — 2017 0.946 0.997 0.948 递增 2018 0.974 1.000 0.974 递增 2019 0.938 0.995 0.943 递增 2020 1.000 1.000 1.000 — 平均值 0.910 0.996 0.914 表 4 2009-2020年滨州市农业发展投入产出松弛变量值
Table 4. Values of input and output slack variables for agricultural development in Binzhou City from 2009 to 2020
年份 X1 X2 X3 X4 Y1 Y2 2009 0.000 0.000 0.000 0.000 0.000 0.000 2010 0.000 213735.266 0.000 0.000 0.000 40865.281 2011 0.000 0.000 0.000 0.000 0.000 0.000 2012 0.000 0.000 0.000 0.000 0.000 0.000 2013 0.000 0.000 0.000 0.000 0.000 0.000 2014 0.000 1163904.539 0.000 0.000 142991.594 39861.173 2015 0.000 1769217.308 0.000 3113.458 29213.995 47914.253 2016 0.000 0.000 0.000 0.000 0.000 0.000 2017 56787.294 0.000 0.000 0.000 194698.572 152804.253 2018 0.000 0.000 0.000 0.000 0.000 0.000 2019 0.000 0.000 0.000 0.000 196411.970 126876.876 2020 0.000 0.000 0.000 0.000 0.000 0.000 -
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