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组合赋权视角下山东省区域农业竞争力研究

刘嘉豪 龙孟 吴昊 崔茂森

刘嘉豪,龙孟,吴昊,等.组合赋权视角下山东省区域农业竞争力研究[J].农业工程,2022,12(11):148-155. doi: 10.19998/j.cnki.2095-1795.2022.11.026
引用本文: 刘嘉豪,龙孟,吴昊,等.组合赋权视角下山东省区域农业竞争力研究[J].农业工程,2022,12(11):148-155. doi: 10.19998/j.cnki.2095-1795.2022.11.026
LIU Jiahao,LONG Meng,WU Hao,et al.Regional agricultural competitiveness of Shandong Province from perspective of combination weighting[J].Agricultural Engineering,2022,12(11):148-155. doi: 10.19998/j.cnki.2095-1795.2022.11.026
Citation: LIU Jiahao,LONG Meng,WU Hao,et al.Regional agricultural competitiveness of Shandong Province from perspective of combination weighting[J].Agricultural Engineering,2022,12(11):148-155. doi: 10.19998/j.cnki.2095-1795.2022.11.026

组合赋权视角下山东省区域农业竞争力研究

doi: 10.19998/j.cnki.2095-1795.2022.11.026
基金项目: 山东省专业学位研究生教学案例库建设资助项目(SDYAL17058)
详细信息
    作者简介:

    刘嘉豪,硕士生,主要从事现代农业理论与实践研究 E-mail:330090075@qq.com

    崔茂森,通信作者,教授,主要从事现代农业理论与实践研究 E-mail:luotong_101@163.com

  • 中图分类号: F304.5

Regional Agricultural Competitiveness of Shandong Province from Perspective of Combination Weighting

  • 摘要:

    基于山东省2013-2019年数据,分析山东省内16个地级市的农业竞争力,为山东省整体农业竞争力进一步提升提出建议。建立了山东省区域农业竞争力指标体系,采用3种客观赋权方法进行单一赋权,构建组合赋权模型,对山东省各地级市农业竞争力进行综合分析和评价,并根据组合权重得分进行排序。结果表明:渔业总产值、单位面积农机总动力和地方财政能力是影响山东省区域农业竞争力的重要指标因素;山东省区域农业竞争力发展呈现“M”曲线先升再降,整体水平呈现上升趋势,具备较大的发展潜力;山东省各个城市之间农业竞争力存在较大的梯度差异,水平较高地区集中于沿海及半岛地区,水平较低的基本处于省边际地区。建议进一步优化渔业产业结构,强化渔业技术创新、加大农业科技投入力度和加强地方财政能力建设。

     

  • 表  1  农业竞争力评价指标体系

    Table  1.   Evaluation index system of agricultural competitiveness

    一级指标二级指标三级指标
    农业竞争力评价指标体系农业产出竞争力农业总产值X1
    林业总产值X2
    牧业总产值X3
    渔业总产值X4
    农林牧渔增加值X5
    农业人员平均工资X6
    农业现代化竞争力农作物播种面积X7
    单位面积农机总动力X8
    单位播种面积化肥施用量X9
    单位播种面积农药施用量X10
    单位播种面积用电量X11
    粮食作物单产产量X12
    农村社会发展水平
    竞争力
    农林水事务支出X13
    地方财政能力X14
    经济发展水平X15
    城镇化率X16
    下载: 导出CSV

    表  2  指标单一赋权权重及组合权重(2013)

    Table  2.   Index single weight and combinasion weight(2013)

    序号指标层单一赋权权重组合权重
    标准离差权重熵权灰色权重
    1X10.07130.06080.06350.0713
    2X20.06390.06740.06430.0674
    3X30.06370.07510.06280.0751
    4X40.07430.15670.05850.1567
    5X50.07360.06070.06220.0736
    6X60.06870.05020.06390.0687
    7X70.06920.08040.06460.0804
    8X80.06150.10560.05900.1056
    9X90.00000.00000.05990.0599
    10X100.06140.02520.06900.0690
    11X110.06940.03000.06960.0696
    12X120.06110.05810.06640.0664
    13X130.05860.04800.06030.0603
    14X140.07240.07680.05790.0768
    15X150.06400.05820.05880.0640
    16X160.06690.04680.05920.0669
    下载: 导出CSV

    表  3  指标单一赋权权重及组合权重(2015)

    Table  3.   Index single weight and combinasion weight(2015)

    序号指标层单一赋权权重组合权重
    标准离差权重熵权灰色权重
    1X10.07070.05940.06450.0707
    2X20.06350.06890.06350.0689
    3X30.06340.07590.06790.0759
    4X40.07270.14740.06230.1474
    5X50.07300.05900.06530.0730
    6X60.07140.04410.05620.0714
    7X70.06830.07600.06620.0760
    8X80.06180.12610.06270.1261
    9X90.00000.00000.06240.0624
    10X100.06030.02410.05810.0603
    11X110.06360.02220.05630.0636
    12X120.06700.07080.06410.0708
    13X130.06350.05610.06590.0659
    14X140.06910.07010.06220.0701
    15X150.06760.05790.06140.0676
    16X160.06390.04180.06100.0639
    下载: 导出CSV

    表  4  指标单一赋权权重及组合权重(2017)

    Table  4.   Index single weight and combinasion weight(2017)

    序号指标层单一赋权权重组合权重
    标准离差权重熵权灰色权重
    1X10.07180.06340.06410.0718
    2X20.06110.08060.06750.0806
    3X30.06730.08390.06660.0839
    4X40.07240.14490.06330.1449
    5X50.07510.07630.06570.0763
    6X60.06380.04210.05840.0638
    7X70.06690.08500.06980.0850
    8X80.05420.09010.06480.0901
    9X90.00000.00000.06780.0678
    10X100.06490.02990.05670.0649
    11X110.06140.02180.05480.0614
    12X120.06010.03030.06180.0618
    13X130.07130.05370.06360.0713
    14X140.06940.08250.05920.0825
    15X150.07350.06770.05750.0735
    16X160.06680.04780.05860.0668
    下载: 导出CSV

    表  5  指标单一赋权权重及组合权重(2019)

    Table  5.   Index single weight and combinasion weight(2019)

    序号指标层单一赋权权重组合权重
    标准离差权重熵权灰色权重
    1X10.07540.05780.06080.0754
    2X20.06030.07580.06360.0758
    3X30.07000.07050.06250.0705
    4X40.07040.13760.06350.1376
    5X50.07320.06690.06200.0732
    6X60.05860.07990.06340.0799
    7X70.06530.07870.06260.0787
    8X80.06720.09470.06330.0947
    9X90.00000.00000.06300.0630
    10X100.06730.02760.06170.0673
    11X110.05610.01760.06140.0614
    12X120.05880.02310.06110.0611
    13X130.06250.05690.06110.0625
    14X140.06730.07340.06320.0734
    15X150.07760.09060.06340.0906
    16X160.06990.04890.06330.0699
    下载: 导出CSV

    表  6  山东省各地市竞争力得分及排名(2013)

    Table  6.   Score and ranking of competitiveness in Shandong Province(2013)

    序号地区标准离差法熵权法基于因子分析的灰色关联综合评价
    得分排名得分排名得分排名得分排名
    1济南市0.4759 60.3838 80.4509 60.5018 7
    2青岛市0.6482 10.5964 20.6024 10.7365 1
    3淄博市0.3424140.2969120.3239140.367314
    4枣庄市0.2406160.1717160.2369150.253416
    5东营市0.3657120.2977110.3388130.394812
    6烟台市0.5720 20.6360 10.5189 40.7011 2
    7潍坊市0.5624 40.5100 30.5348 30.6227 4
    8济宁市0.5692 30.5053 40.5439 20.6283 3
    9泰安市0.4284 90.3360 90.4188 80.4542 9
    10威海市0.4354 80.4917 50.3940 90.5670 5
    11日照市0.2408150.2056150.2319160.278215
    12临沂市0.4649 70.3867 70.4509 70.4951 8
    13德州市0.4799 50.4229 60.4719 50.5320 6
    14聊城市0.3657110.2958130.3563110.398611
    15滨州市0.3977100.3301100.3823100.437510
    16菏泽市0.3488130.2915140.3428120.383313
    方差0.01370.01770.01150.0199
    下载: 导出CSV

    表  7  山东省各地市竞争力得分及排名(2015)

    Table  7.   Score and ranking of competitiveness in Shandong Province(2015)

    序号地区标准离差法熵权法基于因子分析的灰色关联综合评价
    得分排名得分排名得分排名得分排名
    1济南市0.4833 50.3750 80.4519 60.4989 8
    2青岛市0.5911 10.5323 20.5521 10.6584 2
    3淄博市0.3671130.3067120.3371120.392212
    4枣庄市0.2439150.1647160.2229150.248616
    5东营市0.3706120.2828140.3344130.392013
    6烟台市0.5776 20.6344 10.5341 30.7128 1
    7潍坊市0.5533 40.4918 50.5247 40.6058 4
    8济宁市0.5758 30.5006 40.5385 20.6244 3
    9泰安市0.4414 90.3403 90.4078 90.4592 9
    10威海市0.4552 80.5079 30.4143 80.5973 5
    11日照市0.2376160.1807150.2136160.268115
    12临沂市0.4824 60.3884 70.4502 70.5055 7
    13德州市0.4785 70.4252 60.4546 50.5262 6
    14聊城市0.3804110.3097110.3592110.407511
    15滨州市0.4045100.3299100.3747100.436910
    16菏泽市0.3495140.2854130.3327140.373314
    方差0.01210.01680.011 00.0182
    下载: 导出CSV

    表  8  山东省各地市竞争力得分及排名(2017)

    Table  8.   Score and ranking of competitiveness in Shandong Province(2017)

    序号地区标准离差法熵权法基于因子分析的灰色关联综合评价
    得分排名得分排名得分排名得分排名
    1济南市0.5136 60.4262 70.4640 60.5491 7
    2青岛市0.6325 10.5787 20.5671 10.7123 1
    3淄博市0.3932140.3122140.3599130.419214
    4枣庄市0.2642160.1773160.2416160.276416
    5东营市0.3949130.3218130.3489140.433213
    6烟台市0.5833 30.6343 10.5341 30.7031 2
    7潍坊市0.5791 40.5295 30.5337 40.6435 4
    8济宁市0.5841 20.5162 40.5432 20.6465 3
    9泰安市0.4404 80.3405 90.4091 80.4716 9
    10威海市0.4343 90.4816 50.3946 90.5532 6
    11日照市0.2791150.2235150.2584150.318915
    12临沂市0.5157 50.4405 60.4870 50.5649 5
    13德州市0.4803 70.4127 80.4561 70.5331 8
    14聊城市0.4120100.3284120.3842110.445212
    15滨州市0.4100120.3348100.3761120.453610
    16菏泽市0.4107110.3333110.3874100.445711
    方差0.01130.01590.00950.0160
    下载: 导出CSV

    表  9  山东省各地市竞争力得分及排名(2019)

    Table  9.   Score and ranking of competitiveness in Shandong Province(2019)

    序号地区标准离差法熵权法基于因子分析的灰色关联综合评价
    得分排名得分排名得分排名得分排名
    1济南市0.5901 20.5178 30.5558 20.6484 3
    2青岛市0.6216 10.5673 20.5727 10.7015 1
    3淄博市0.2835140.2304140.2656140.307615
    4枣庄市0.1983160.1188160.1902160.210716
    5东营市0.3794100.3276 90.3565110.431110
    6烟台市0.5726 30.5970 10.5261 30.6819 2
    7潍坊市0.5494 40.4787 40.5059 40.5992 4
    8济宁市0.5167 50.4246 60.4805 50.5610 5
    9泰安市0.3667120.2596130.3478120.390413
    10威海市0.3976 90.4743 50.3712 90.5206 6
    11日照市0.2746150.2223150.2652150.319114
    12临沂市0.4737 60.3935 70.4509 70.5150 8
    13德州市0.4713 70.3812 80.4529 60.5170 7
    14聊城市0.3786110.3114110.3592100.422511
    15滨州市0.3521130.2829120.3380130.396612
    16菏泽市0.4206 80.3222100.4019 80.4486 9
    方差0.01490.01800.01230.0195
    下载: 导出CSV
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  • 收稿日期:  2022-01-18
  • 修回日期:  2022-03-02
  • 出版日期:  2022-11-20

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