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四川省环境友好型农业生产效率测算及影响因素研究——基于超效率DEA模型和空间面板STIRPAT模型

熊鹰 许钰莎

熊鹰, 许钰莎. 四川省环境友好型农业生产效率测算及影响因素研究——基于超效率DEA模型和空间面板STIRPAT模型[J]. 中国生态农业学报(中英文), 2019, 27(7): 1134-1146. doi: 10.13930/j.cnki.cjea.180857
引用本文: 熊鹰, 许钰莎. 四川省环境友好型农业生产效率测算及影响因素研究——基于超效率DEA模型和空间面板STIRPAT模型[J]. 中国生态农业学报(中英文), 2019, 27(7): 1134-1146. doi: 10.13930/j.cnki.cjea.180857
XIONG Ying, XU Yusha. Measurements and influencing factors of the efficiency of environmental-ly-friendly agricultural production in Sichuan Province based on SE-DEA and spatial panel STIRPAT models[J]. Chinese Journal of Eco-Agriculture, 2019, 27(7): 1134-1146. doi: 10.13930/j.cnki.cjea.180857
Citation: XIONG Ying, XU Yusha. Measurements and influencing factors of the efficiency of environmental-ly-friendly agricultural production in Sichuan Province based on SE-DEA and spatial panel STIRPAT models[J]. Chinese Journal of Eco-Agriculture, 2019, 27(7): 1134-1146. doi: 10.13930/j.cnki.cjea.180857

四川省环境友好型农业生产效率测算及影响因素研究——基于超效率DEA模型和空间面板STIRPAT模型

doi: 10.13930/j.cnki.cjea.180857
基金项目: 

国家自然科学基金项目 71603178

四川省财政创新能力提升工程专项资金项目 2016QNJJ-006

成都市软科学研究项目 2017-RK00-00024-ZF

详细信息
    作者简介:

    熊鹰, 研究方向为农业经济与生态经济。E-mail:54540677@qq.com

  • 中图分类号: F224;F323

Measurements and influencing factors of the efficiency of environmental-ly-friendly agricultural production in Sichuan Province based on SE-DEA and spatial panel STIRPAT models

Funds: 

the National Natural Science Foundation of China 71603178

the Specialized Research Fund for Financial Innovation Capacity Improvement of Sichuan Province 2016QNJJ-006

the Soft Science Research Project of Chengdu 2017-RK00-00024-ZF

More Information
    Corresponding author: XIONG Ying, E-mail: 54540677@qq.com
  • 摘要: 环境友好型农业顺应了当前农业绿色发展的迫切需要,但现有针对环境友好型农业的研究缺乏从生产效率提升角度展开分析。四川是我国的农业大省,针对四川省环境友好型农业生产效率及其影响因素进行定量分析,可为四川省环境友好型农业发展提供科学依据,丰富基于生产效率视角下的环境友好型农业研究。本文基于2006-2016年四川省21个市州面板数据,运用超效率DEA方法对四川省环境友好型农业生产效率进行测算,并基于STIRPAT理论模型,构建环境友好型农业生产效率影响因素分析的理论模型,采用空间杜宾模型进行实证分析。结果表明:2006-2016年四川省环境友好型农业生产效率保持先降后升的态势,自2006年的0.708降至2009年的0.667,而后逐渐升高到2016年的0.805;四川省环境友好型农业生产效率11年间的均值为0.705,总体水平较低且各地区存在显著差异,雅安市和阿坝州环境友好型农业生产效率均值最高(0.981),广元市最低(0.458);泸州市、绵阳市、乐山市、宜宾市、广安市、巴中市、南充市、眉山市和广元市的效率均值都低于0.6,导致这些地区生产效率较低的原因是化肥、农药和农膜使用等过量的投入,未来具有较大的提升空间。农业劳动生产率、粮食播种面积占农作物总播种面积比重对环境友好型农业生产效率具有显著的直接效应,影响系数分别为0.158和0.506,其中粮食所占比重的影响最大。人口密度、粮食播种面积占农作物总播种面积比重对环境友好型农业生产效率具有显著的间接效应,影响系数分别为0.988和1.366。邻近地区人口密度在地区间具有溢出效应,从而对本地区有限的农业资源形成竞争,导致间接效应为负;邻近地区种植结构的变化同向影响着本地区种植结构的调整,导致种植结构的间接效应为负。鉴于四川省各地区环境友好型农业生产效率不仅存在显著差异,而且地区间具有空间溢出效应,因此四川省各地区在进行环境友好型农业发展政策的制定时,既需要关注地区内部因素的直接影响,也需要考虑地区间影响因素的相互作用。
  • 图  1  2016年四川省21个市州环境友好型农业生产效率的Moran’I散点图

    Figure  1.  Moran'I scatterplot of environmentally-friendly agricultural production efficiency in 21 regions of Sichuan Province in 2016

    表  1  四川省空间面板计量模型各变量的统计性描述

    Table  1.   Statistical description of each variable in spatial panel econometric model of Sichuan Province

    变量
    Variable
    均值
    Mean
    标准差
    Standard deviation
    最小值
    Minimum
    最大值
    Maximum
    环境友好型农业生产效率(E)
    Environment-friendly agricultural production efficiency
    0.705 0.192 0.429 1.256
    人口密度(D) Population density (persons∙km-2) 380.841 268.291 6.100 1 209.000
    城镇化率(U) Urbanization rate (%) 39.130 10.519 17.900 71.470
    人均GDP (P) Per capita GDP (104 ) 1.956 1.170 0.471 7.322
    农业劳动生产率(L) Agricultural labor productivity ( ∙capita-1) 13 942.988 6 802.637 2 823.529 43 069.123
    粮食播种面积占农作物总播种面积比重(S)
    Proportion of grain-sown area in the total crop sown area (%)
    68.458 6.526 52.413 90.044
    下载: 导出CSV

    表  2  2006—2016年四川省21个市州环境友好型农业生产效率评价结果

    Table  2.   Environmentally-friendly agricultural production efficiencies in 21 regions of Sichuan Province from 2006 to 2016

    地区Region 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 均值Mean
    成都市Chengdu 0.676 0.720 0.754 0.772 0.813 0.827 0.864 0.881 0.914 1.076 1.000 0.845
    自贡市Zigong 1.005 0.788 0.757 0.758 0.749 0.749 0.758 0.758 0.758 0.779 0.859 0.792
    攀枝花市Panzhihua 1.017 1.005 1.001 0.885 0.905 0.902 0.914 0.908 0.920 1.023 1.009 0.954
    泸州市Luzhou 0.605 0.615 0.616 0.591 0.597 0.574 0.576 0.573 0.583 0.604 0.628 0.596
    德阳市Deyang 0.604 0.616 0.583 0.573 0.571 0.572 0.589 0.611 0.630 0.661 0.696 0.610
    绵阳市Mianyang 0.572 0.581 0.547 0.550 0.551 0.551 0.563 0.578 0.600 0.639 0.662 0.581
    广元市Guangyuan 0.462 0.441 0.433 0.435 0.442 0.429 0.451 0.455 0.470 0.502 0.516 0.458
    遂宁市Suining 0.728 0.737 0.749 0.738 0.761 0.784 0.836 0.916 1.003 0.924 1.000 0.834
    内江市Neijiang 0.589 0.609 0.644 0.616 0.625 0.701 0.720 0.694 0.742 0.853 1.007 0.709
    乐山市Leshan 0.533 0.539 0.546 0.538 0.550 0.550 0.556 0.598 0.623 0.633 0.652 0.574
    南充市Nanchong 0.442 0.461 0.490 0.490 0.543 0.526 0.532 0.539 0.551 0.560 0.570 0.519
    眉山市Meishan 0.445 0.451 0.451 0.446 0.454 0.453 0.465 0.477 0.496 0.522 0.551 0.474
    宜宾市Yibin 0.532 0.539 0.541 0.534 0.549 0.552 0.574 0.581 0.606 0.633 0.645 0.572
    广安市Guang’an 0.574 0.588 0.587 0.560 0.541 0.523 0.527 0.525 0.534 0.550 0.556 0.551
    达州市Dazhou 0.606 0.606 0.602 0.598 0.609 0.612 0.612 0.597 0.604 0.608 0.618 0.607
    雅安市Ya’an 0.850 1.017 0.961 0.946 1.002 1.001 1.005 1.003 0.986 1.001 1.017 0.981
    巴中市Bazhong 0.511 0.514 0.517 0.527 0.526 0.535 0.536 0.549 0.564 0.593 0.602 0.543
    资阳市Ziyang 1.001 0.991 1.013 1.005 0.955 0.891 0.852 0.788 0.796 0.831 1.256 0.943
    阿坝州Aba 1.072 1.004 1.023 1.000 0.922 0.914 0.906 0.940 0.972 1.002 1.031 0.981
    甘孜州Ganzi 1.025 1.007 1.003 0.874 0.852 0.888 1.003 1.003 0.967 0.958 1.010 0.963
    凉山州Liangshan 1.024 0.851 0.631 0.571 0.570 0.571 0.565 0.618 0.649 0.792 1.016 0.714
    全省均值Provincial mean 0.708 0.699 0.688 0.667 0.671 0.672 0.686 0.695 0.713 0.750 0.805 0.705
    下载: 导出CSV

    表  3  2006—2016年四川省21个市州环境友好型农业生产效率年均投入产出优化调整

    Table  3.   Annual input and output after optimization and adjustment of environmentally-friendly agricultural production efficiencies in 21 regions of Sichuan Province from 2006 to 2016

    地区
    Region
    投入Input 产出Output
    农作物播种面积
    Crops sown area (hm2)
    农业机械总动力
    Total power of agricultural machinery (×104kW)
    第一产业从业人员
    Employed person of primary industry (×104 persons)
    化肥
    Chemical fertilizer (×104t)
    农药
    Pesticide (t)
    农膜
    Agricultural film (t)
    农林牧渔业总产值
    (2006年不变价)
    Gross output value of farming, forestry, animal husbandry and fishery (x108¥)
    成都市
    Chengdu
    -141 660.504 -2.548 -54.975 -3.875 -1 335.424 -782.513 0
    自贡市
    Zigong
    -153 563.910 -6.938 -26.835 -8.790 -1 293.727 -2 029.994 0
    攀枝花市
    Panzhihua
    -124 054.130 -2.944 -13.809 -1.665 -143.179 -95.030 0
    泸州市
    Luzhou
    -82 841.626 -66.740 -37.532 -6.056 -1 584.301 -1 420.499 0
    德阳市
    Deyang
    -97 030.694 -1.193 -43.339 -4.599 -1 538.856 -1 090.530 0
    绵阳市
    Mianyang
    -24 546.638 -36.907 -18.863 -2.586 -843.472 -1 965.966 0
    广元市
    Guangyuan
    -136 482.813 -24.177 -76.248 -5.578 -1 368.685 -3 902.076 0
    遂宁市
    Suining
    -211 903.742 -122.825 -55.253 -7.941 -1 642.391 -4 743.800 0
    内江市
    Neijiang
    -551 921.524 -33.505 -83.112 -14.843 -2 820.389 -5 072.073 0
    乐山市
    Leshan
    -143 612.459 -22.189 -54.544 -6.745 -1 436.380 -2 606.422 0
    南充市
    Nanchong
    -176 219.013 -24.684 -59.287 -6.531 -1 687.538 -4 075.106 0
    眉山市
    Meishan
    -187 597.312 -22.742 -54.612 -13.350 -3 028.436 -3 899.428 0
    宜宾市
    Yibin
    -223 314.901 -86.807 -61.940 -8.944 -2 877.403 -3 630.691 0
    广安市
    Guang’an
    -391 208.242 -7.511 -96.900 -10.091 -1 504.365 -3 633.702 0
    达州市
    Dazhou
    -23 185.852 -43.705 -19.637 -2.872 -533.459 -127.227 0
    雅安市
    Ya’an
    -121 585.719 -1.824 -32.261 -6.894 -900.347 -245.094 0
    巴中市
    Bazhong
    -235 578.468 -34.939 -66.014 -8.974 -910.265 -3 670.390 0
    资阳市
    Ziyang
    -304 349.439 -61.223 -61.491 -12.972 -2 846.507 -2 634.487 0
    阿坝州Aba -165 697.002 -35.053 -73.644 -6.565 -327.539 -4 989.797 0
    甘孜州
    Ganzi
    -6 782.882 -3.769 -11.935 -1.157 -345.453 -322.362 0
    凉山州
    Liangshan
    -17 292.334 -42.275 -24.846 -1.021 -353.613 -1 431.981 0
    均值Mean -167 639.486 -35.595 -48.908 -6.764 -1 396.273 -2 493.770 0
    下载: 导出CSV

    表  4  2006—2016年四川省环境友好型农业生产效率的Moran’s I指数值

    Table  4.   Values of Moran's I index of environmentally- friendly agricultural production efficiencies in Sichuan Province from 2006 to 2016

    年份Year 莫兰指数Moran’s I PP value
    2006 0.128* 0.086
    2007 0.230** 0.015
    2008 0.149* 0.061
    2009 0.111 0.105
    2010 0.093 0.134
    2011 0.113 0.105
    2012 0.127* 0.086
    2013 0.158* 0.054
    2014 0.133* 0.079
    2015 0.203** 0.026
    2016 0.195** 0.030
    ***、**和*分别表示在1%、5%和10%的水平下显著。***, ** and * mean significant at 1%, 5% and 10% levels, respectively.
    下载: 导出CSV

    表  5  四川省21个市州环境友好型农业生产效率空间面板模型选择检验结果

    Table  5.   Spatial panel model selection test results of environmentally-friendly agricultural production efficiency in 21 regions of Sichuan Province

    待验模型
    Tested model
    固定或随机效应的
    SDM Fixed or random effects of SDM
    SDM是否退化成
    SLM Whether SDM changes into SLM
    SDM是否退化成
    SEM Whether SDM changes into SEM
    检验方法Test model Hausman检验Hausman test Wald检验Wald test Wald检验Wald test
    检验值Test value 28.35 27.11 24.82
    PP value 0.000 0 0.000 1 0.000 2
    下载: 导出CSV

    表  6  四川省环境友好型农业生产效率影响因素的空间效应分析

    Table  6.   Analysis on spatial effects of factors influencing environmentally-friendly agricultural production efficiency of Sichuan Province

    变量
    Variable
    总体效应
    Total effect
    直接效应
    Direct effect
    间接效应
    Indirect effect
    人口密度Population density (lnD) -1.051*** (0.006) -0.063 (0.702) -0.988*** (0.002)
    城镇化率Urbanization rate (lnU) 0.023 (0.937) -0.024 (0.858) 0.047 (0.853)
    人均GDP Per capita GDP (lnP) -0.354* (0.093) -0.037 (0.709) -0.317 (0.125)
    农业劳动生产率Agricultural labor productivity (lnL) 0.245*** (0.001) 0.158*** (0.000) 0.088 (0.225)
    粮食播种面积占农作物总播种面积比重
    Proportion of grain-sown area in the total crop sown area (lnS)
    1.872*** (0.000) 0.506** (0.043) 1.366*** (0.004)
    括号内数据为t检验的P值; ***、**和*分别表示在1%、5%和10%的水平上显著。Data in the bracket are P values of t test. ***, ** and * mean significant at 1%, 5% and 10% levels, respectively.
    下载: 导出CSV
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  • 收稿日期:  2018-09-18
  • 录用日期:  2018-12-26
  • 刊出日期:  2019-07-01

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