• Resources Science
  • Vol. 42, Issue 4, 763 (2020)
Li LIU1、2, Liqi CHU1, and Zhide JIANG1、*
Author Affiliations
  • 1School of Economics and Management, Northwest Agriculture and Forestry University, Yangling 712100, China
  • 2College of History and Tourism Culture, Shanxi Normal University, Linfen 041000, China
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    DOI: 10.18402/resci.2020.04.14 Cite this Article
    Li LIU, Liqi CHU, Zhide JIANG. Influence of technology cognition and risk perception on the willingness to adopt soil and water conservation tillage technologies and its intergenerational differences[J]. Resources Science, 2020, 42(4): 763 Copy Citation Text show less
    省份县(市或区)乡(镇)样本数/户比例/%
    山西省吉县屯里镇、城关镇、柏山寺乡24419.73
    汾阳市演武镇、肖家庄镇19615.84
    陕西省安塞区真武洞镇、沿河湾镇、化子坪镇21517.38
    靖边县东坑镇、杨桥畔镇、龙洲镇20316.42
    甘肃省镇原县城关镇、屯字镇、上肖乡19715.92
    泾川县城关镇、玉都镇、18214.71
    合计1237100.00
    Table 1. Distribution of sample farmers in the study area
    水土保持耕作技术新生代老一代
    愿意/户不愿意/户愿意/户不愿意/户
    等高耕作120192375550
    沟垄种植88224352573
    少免耕128184431494
    深松耕157155501424
    秸秆还田176136540385
    残茬覆盖94218346579
    地膜覆盖113199374551
    Table 2. Adoption intention and intergenerational distribution of soil and water conservation tillage technology
    变量变量名定义与赋值
    因变量等高耕作采用意愿您愿意采用该技术吗?不愿意=0;愿意=1
    沟垄种植采用意愿
    少免耕采用意愿
    深松耕采用意愿
    秸秆还田采用意愿
    残茬覆盖采用意愿
    地膜覆盖采用意愿
    核心自变量技术认知
    技术本身认知是否听说过该技术? 否=0;是=1
    技术便利性认知该技术容易掌握 不同意=1;不太同意=2;一般=3;比较同意=4;同意=5
    该技术使用方便 不同意=1;不太同意=2;一般=3;比较同意=4;同意=5
    该技术有配套的机具 不同意=1;不太同意=2;一般=3;比较同意=4;同意=5
    技术效果认知该技术能提高产量 不同意=1;不太同意=2;一般=3;比较同意=4;同意=5
    该技术能增加农业收入 不同意=1;不太同意=2;一般=3;比较同意=4;同意=5
    该技术能提高土壤肥力 不同意=1;不太同意=2;一般=3;比较同意=4;同意=5
    该技术能缓解土壤板结 不同意=1;不太同意=2;一般=3;比较同意=4;同意=5
    该技术能控制水土流失 不同意=1;不太同意=2;一般=3;比较同意=4;同意=5
    该技术能改善生态环境 不同意=1;不太同意=2;一般=3;比较同意=4;同意=5
    风险感知您认为本地水土流失情况如何 无水土流失=1;不太严重=2;一般=3;比较严重=4;非常严重=5
    您家耕地受到水土流失影响面积大吗 无影响=1;不太大=2;一般=3;比较大=4;非常大=5
    水土流失对减产的影响大吗 无影响=1;不太大=2;一般=3;比较大=4;非常大=5
    控制变量个人特征户主年龄/岁
    户主受教育程度 没上过学=1;小学=2;初中=3;高中/中专=4;大专及以上=5
    家庭特征家庭劳动力数量/人
    非农收入占家庭总收入比重 20%以下=1; 21%~50%=2; 51%~80%=3; 81%以上=4
    土地特征实际耕种土地面积/亩
    村庄特征村庄到城镇距离/km
    交通是否便利 很不方便=1;不太方便=2;一般=3;比较方便=4;非常方便=5
    Table 3. Variable definition and values of willingness, technology cognition, and risk perception
    等高耕作沟垄种植少免耕
    新生代老一代新生代老一代新生代老一代
    模型1模型2模型3模型1模型2模型3模型1模型2模型3模型1模型2模型3模型1模型2模型3模型1模型2模型3
    年龄0.0040.0190.015-0.024***-0.020*-0.021*0.0250.0320.029-0.017*-0.022*-0.021*-0.018-0.008-0.008-0.022**-0.010-0.010
    受教育程度-0.182-0.130-0.1490.173**0.162*0.154*-0.231-0.128-0.1460.188**0.219**0.209*-0.1250.0830.101-0.214***-0.003-0.001
    劳动力数量0.287**0.279*0.252*-0.0050.0120.0040.106-0.0420.0370.112*0.0580.053-0.056-0.117-0.1740.0650.0590.058
    非农收入占比-0.0880.1660.174-0.0050.197**0.210***0.1800.382*0.480**0.0920.205**0.232**0.1790.339*0.303*0.0750.221**0.224**
    耕地面积-0.012-0.008-0.0080.0010.0090.010*0.0140.0180.021*0.010**0.023***0.024***0.0060.0160.019*0.0030.014*0.014**
    村庄到城镇距离-0.041***-0.029**-0.030***-0.005-0.006-0.007-0.004-0.003-0.0020.016***0.0030.0020.0110.0020.0040.016***0.0030.002
    交通便利性0.245**0.291**0.267*0.125**0.1040.0610.285**0.298*0.2250.0880.167*0.1260.206*0.0450.0760.0510.0590.065
    技术认知1.875***1.779***1.849***1.828***2.952***3.095***2.767***2.760***0.7701.879***1.963***1.599***1.595***
    风险感知0.332**0.466***0.646***0.348***0.445**0.067
    常数项2.582**-2.313-3.009*2.056***-2.161**-3.527***-1.210-6.111***-8.790***0.370-3.039***-4.254***-4.590***-3.276*1.173*-3.665***-3.875***
    -2 loglikelihood375.352302.493298.5521220.719986.060963.191342.044197.093189.0341180.066696.019687.367403.301217.143212.4991233.708802.267801.876
    LR chi226.787103.646107.58715.594250.254273.12216.981161.932169.99135.465519.512528.1639.546195.704200.34830.945462.385462.777
    Prob>chi20.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
    Nagelkerke R20.1140.3910.4040.0230.3230.3480.0780.5950.6180.0520.5890.5970.0420.6390.6490.0440.5300.530
    Table 4. Regression results of willingness for adopting contour tillage, furrow and ridge planting and moderate or non-tillage technology
    深松耕秸秆还田
    新生代老一代新生代老一代
    模型1模型2模型3模型1模型2模型3模型1模型2模型3模型1模型2模型3
    户主年龄0.0250.0120.0120.0030.0070.0080.004-0.006-0.0060.010-0.007-0.006
    户主受教育程度0.329**0.1080.1060.0510.226**0.221**0.207-0.236-0.2270.115-0.119-0.116
    家庭劳动力数量-0.0680.0310.0360.0430.0390.036-0.136-0.064-0.0800.0320.0830.082
    非农收入占比0.464***0.459**0.469**0.167***0.0710.0820.366***0.456*0.436*0.0910.228**0.249**
    耕种土地面积-0.0130.0040.0040.0010.022***0.023***-0.0010.0080.0070.0050.0100.012
    村庄到城镇距离-0.020**-0.021-0.021-0.019***-0.011*-0.011*-0.021**-0.023-0.024-0.010**-0.011*-0.012*
    交通便利性-0.126-0.302*-0.2930.048-0.148-0.123-0.138-0.336-0.3530.038-0.171*-0.139
    技术认知2.645***2.662***2.249***2.288***2.798***2.756***-0.8782.100***2.143***
    风险感知0.0730.261**0.1750.325***
    常数项-2.118*-5.117***-5.390**-0.549-3.306***-4.289***-0.303-3.434-2.742*-2.887***-4.094***
    -2 loglikelihood392.039171.126171.0251231.726636.393631.838398.831137.394136.9611227.055638.694631.668
    LR chi230.777251.691251.79129.554624.886629.44218.988280.425280.85814.332602.693609.719
    Prob>chi20.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
    Nagelkerke R20.1280.7490.7490.0420.6620.6640.0810.8060.8070.0210.6500.653
    Table 5. Regression results of willingness for adopting subsoiling and straw returning technology
    残茬覆盖地膜覆盖
    新生代老一代新生代老一代
    模型1模型2模型3模型1模型2模型3模型1模型2模型3模型1模型2模型3
    户主年龄0.040*0.0350.0340.003-0.013-0.0120.013-0.008-0.0100.001-0.007-0.006
    户主受教育程度0.1050.2840.281-0.036-0.020-0.0210.1370.440*0.453**0.244***0.194*0.189*
    家庭劳动力数量0.0540.493*0.475*0.276***0.0870.092-0.001-0.330*-0.3070.162**-0.033-0.035
    非农收入占比0.411***0.2710.2730.254***-0.030-0.0150.424***0.572***0.589***0.147**0.263***0.282***
    耕种土地面积0.006-0.015-0.0140.015****0.0010.0020.0100.024**0.025**0.0070.017**0.017**
    村庄到城镇距离-0.022**-0.013-0.014-0.013***-0.002-0.0030.007-0.018-0.0180.003-0.008-0.009
    交通便利性-0.054-0.337-0.3290.0150.213**0.183*-0.213*-0.225-0.2140.168***0.237***0.199**
    技术认知4.009***4.010***3.691***3.655***3.177***3.188***3.020***3.019***
    风险感知0.0950.269*0.1560.333***
    常数项-3.740***-6.996***-7.291**-1.985***-4.195***-5.119***-1.526-3.960**-4.410**-0.182-3.812***-4.964***
    -2 loglikelihood341.473125.014124.9001152.927516.813513.185377.509189.842189.3451199.493683.330675.812
    LR chi223.210239.668239.78257.006693.720693.34820.147207.814208.31034.510550.674558.191
    Prob>chi20.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
    Nagelkerke R20.1050.7800.7810.0830.7240.7270.0880.6780.6790.0500.6110.617
    Table 6. Regression results of willingness for adopting stubble mulching and plastic film covering technology
    等高耕作沟垄种植少免耕深松耕秸秆还田残茬覆盖地膜覆盖
    新生代老一代新生代老一代新生代老一代新生代老一代新生代老一代新生代老一代新生代老一代
    技术认知×风险感知0.248**0.249*0.238***0.329**0.687***0.472***0.360**0.084*0.341**0.071**0.529*0.534*0.497**0.867***
    -2 loglike-lihood292.811961.044175.423686.026201.560782.746170.279631.600136.214631.458124.219510.656188.555663.236
    LR chi2108.328275.269183.602529.504211.287481.906252.538629.679281.606609.929240.463699.877209.101570.768
    Prob>chi20.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
    Nagel-kerke R20.4060.3510.6540.5980.6740.5470.7510.6650.8080.6550.7820.7290.6810.627
    Table 7. Regression results of moderating effect of risk perception
    Li LIU, Liqi CHU, Zhide JIANG. Influence of technology cognition and risk perception on the willingness to adopt soil and water conservation tillage technologies and its intergenerational differences[J]. Resources Science, 2020, 42(4): 763
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