Resources Science, Volume. 42, Issue 6, 1123(2020)

Effects of age on farmers’ adoption of intertemporal green agricultural technology

Tongchao ZHANG1,2, Tingwu YAN1,2、*, and Tongwei QIU3
Author Affiliations
  • 1College of Economics & Management, Huazhong Agricultural University, Wuhan 430074, China
  • 2Hubei Rural Development Research Center, Wuhan 430074, China
  • 3College of Economics and Management, South China Agricultural University, Guangzhou 510642, China
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    Figures & Tables(10)
    Relationship of age, agricultural production target, and intertemporal green technology adoption
    Analytical framework of age’s influence on intertemporal green technology adoption
    Scatter plot and quadratic fitting curve of age and farmers’ straw returning behaviors
    • Table 1. Spatial distribution of the survey samples

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      Table 1. Spatial distribution of the survey samples

      省份县(区、市)乡镇/街及样本村/社区样本数
      山东平度市南村镇兰底河南村、前庄村;蓼兰镇何家店村、西马丘村;崔家集镇前洼村、团结村188
      莱西市沽河镇甲瑞社区、牛溪埠社区;姜山镇大泊村、小泊村121
      安丘市金冢子镇草店子、周家店、谷家村等20
      湖北新洲区邾城街巴徐村、章程村;辛冲街干河村、罗坪河村、双桥村;潘塘街井边村、孙寨村、熊店村、易河村207
      武穴市花桥镇下彭村、刘六西村、马塘村;石佛寺镇董干畈村、湖南畈村;龙坪镇牛车村、下冯村;万丈湖农场黄湖村、太泊村204
      河北沧县高川乡泗庄村、阎辛庄村、蒲码头村、东芮屯村;刘家庙乡后生金刘村192
      新华区小赵庄乡孙庄子村、万庄子村55
      南皮县鲍官屯镇小张官村56
      安徽灵璧县朱集镇曹家庄、胡光村、刘派村、刘寨村、苗河村、王店村195
      尤集镇大章李村、解圩村、马巷村134
      合计9县(区/市)19乡镇/街55村/社区1372
    • Table 2. Descriptive statistics of variables

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      Table 2. Descriptive statistics of variables

      变量赋值说明
      因变量
      跨期绿色农业技术采纳Y是否进行秸秆还田:否=0;是=1
      自变量
      年龄年龄lnAge受访者实际年龄/岁,取对数
      平方项(lnAge)2受访者实际年龄/岁,取对数后的平方
      人力资本文化程度Edu不识字或识字很少=1;小学=2;初中=3;高中(中专)=4;大专及以上=5
      健康状况Hea非常差=1;比较差=2;一般=3;比较好=4;非常好=5
      人力资本Hum取文化程度与健康状况的算术平均值
      风险偏好风险厌恶Ris1关于“对于可能存在风险的事,我暂时不会尝试”:完全同意=1;比较同意=2;一般=3;不太同意=4;完全不同意=5
      风险规避Ris2您觉得是否有必要购买农业保险:有必要=0;没必要=1
      风险偏好Risk取风险厌恶与风险规避的算术平均值
      个体特征性别Gen女=0;男=1
      政治面貌Sta群众或其他=0;共产党员=1
      兼业Par无兼业=0;有兼业=1
      技术掌握Tec秸秆处置和还田方法技术掌握:很不好=1;不太好=2;一般=3;比较好=4;非常好=5
      生态价值认知Ecol秸秆还田对环保和空气污染防治:非常不利=1;不太有利=2;不好说=3;有些好处=4;非常有利=5
      经济价值认知Econ秸秆还田对您家增产增收:非常不利=1;不太有利=2;不好说=3;有些好处=4;非常有利=5
      家庭禀赋是否贫困Pov家庭年人均纯收入不低于2300元=0;否则为1
      劳动力Lab家庭劳动力数量/人
      信息化Int家中是否安装了宽带网络:否=0,是=1
      经营规模Sca家庭实际经营耕地面积/亩
      块均面积Ave家庭经营耕地的块均面积/(亩/块)
      社会资本信任Tru您对亲朋邻里:完全不信任=1;不太信任=2;一般=3;比较信任=4;完全信任=5
      互惠规范Rec您得到过亲朋邻里的帮助吗:从来没有=1;较少=2;一般=3;较多=4;经常=5
      社会参与Ass您经常和亲朋邻里聊天交流吗:从来没有=1;较少=2;一般=3;较多=4;经常=5
      社区条件环境Env您对“本村环境污染严重”:完全不同意=1;不太同意=2;一般=3;比较同意=4;完全同意=5
      供水Wat您对本村的供水情况:不满意=1;不太满意=2;一般=3;比较满意=4;非常满意=5
      供电Ele您对本村的供电情况:不满意=1;不太满意=2;一般=3;比较满意=4;非常满意=5
      制度规则补贴Sub您有无领取到秸秆利用方面的补贴:无=0;有=1
      处罚Pun当地是否有秸秆焚烧处罚措施:无=0;不清楚=1;有=2
      地区地区Reg南方水田区=1,北方旱作区=0
    • Table 3. Model regression results of the effects of age on straw returning behavior of farmers

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      Table 3. Model regression results of the effects of age on straw returning behavior of farmers

      变量全样本回归1分组回归1
      模型1.1模型1.2中青年组中老年组
      系数标准误系数标准误系数标准误系数标准误
      lnAge-0.2030.1899.482***3.2660.101*0.058-1.556***0.474
      (lnAge)2-1.265***0.426
      Gen0.0070.0980.0280.0990.0410.1650.0290.128
      Sta0.245*0.1250.244*0.1250.3460.2410.2020.150
      Par-0.0070.094-0.0490.0960.0270.161-0.0740.123
      Tec0.0270.0390.0250.0390.0760.0710.0050.048
      Ecol0.0670.0530.0740.0540.0680.0930.0620.068
      Econ0.0700.0540.0730.054-0.0690.1060.125*0.065
      Pov-0.193**0.088-0.184**0.088-0.0960.156-0.213*0.110
      Lab0.0470.0330.0450.0330.0310.0740.0490.038
      Int0.161*0.0880.1340.0880.372**0.1560.0520.110
      Sca0.008**0.0040.008**0.0040.011**0.0060.0030.005
      Ave-0.0100.012-0.0120.012-0.0220.0190.0040.017
      Tru0.0200.0520.0240.0520.0670.092-0.0050.065
      Rec0.0570.0380.0530.038-0.0290.0710.090*0.047
      Ass-0.0050.047-0.0100.0470.0570.088-0.0340.058
      Env0.163***0.0320.160***0.0320.169***0.0590.160***0.038
      Wat0.111***0.0410.120***0.0410.0270.0790.153***0.050
      Ele0.0150.0520.0120.0530.0830.091-0.0380.067
      Sub0.2990.2000.3170.2020.0390.2890.587*0.300
      Pun0.118**0.0540.139**0.0550.1450.0990.152**0.068
      Reg已控制已控制已控制已控制
      Pro>chi20.0000.0000.0000.000
      Pseudo R20.3570.3620.3970.358
    • Table 4. Standard value distribution of human capital and risk preference of sample farmers (%)

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      Table 4. Standard value distribution of human capital and risk preference of sample farmers (%)

      标准值区间低水平[0,0.2]较低水平(0.2,0.4]一般水平(0.4,0.6]较高水平(0.6,0.8]高水平(0.8,1]均值
      人力资本2.7723.5423.9843.086.630.55
      风险偏好37.6819.1716.4016.4010.350.46
    • Table 5. Impact of age on human capital and risk preferences

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      Table 5. Impact of age on human capital and risk preferences

      全样本回归2
      模型2.1(Edu模型2.2(Hea模型2.3(Hum模型2.4(Ris1)模型2.5(Ris2)模型2.6(Risk
      lnAge系数-1.824***-0.740***-1.599***-0.097-0.584***-0.264**
      标准误0.1410.1380.1330.1320.1640.130
      Pro>chi20.0000.0000.0000.0000.0000.000
      Pseudo R20.1240.0480.0850.0250.1180.036
    • Table 6. Test of the mediating effect of human capital and risk preference

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      Table 6. Test of the mediating effect of human capital and risk preference

      变量全样本回归3
      模型3.1模型3.2模型3.3模型3.4
      系数标准误系数标准误系数标准误系数标准误
      Edu0.156***0.0520.124**0.052
      Hea-0.0330.044-0.0340.045
      Hum0.348**0.161
      Ris10.107***0.0310.105***0.031
      Ris20.383***0.0890.358***0.090
      Risk0.701***0.145
      lnAge8.657***3.3078.177**3.2817.563**3.3148.942***3.263
      (lnAge)2-1.132***0.432-1.085**0.428-0.986**0.433-1.178***0.426
      Pro>chi20.0000.0000.0000.000
      Pseudo R20.3670.3790.3830.376
    • Table 7. Bootstrap test results

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      Table 7. Bootstrap test results

      路径中介效应Boot标准误Boot LLCIBoot ULCI
      年龄—人力资本—跨期绿色农业技术采纳-0.2220.119-0.474-0.004
      年龄—风险偏好—跨期绿色农业技术采纳-0.1130.056-0.250-0.023
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    Tongchao ZHANG, Tingwu YAN, Tongwei QIU. Effects of age on farmers’ adoption of intertemporal green agricultural technology[J]. Resources Science, 2020, 42(6): 1123

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    Paper Information

    Received: Sep. 11, 2019

    Accepted: --

    Published Online: Apr. 15, 2021

    The Author Email: YAN Tingwu (yantw@mail.hzau.edu.cn)

    DOI:10.18402/resci.2020.06.10

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