Resources Science, Volume. 42, Issue 4, 696(2020)

Influencing factors and spatial differentiation of cultivated land abandonment at the household scale

Beibei GUO1、*, Yelin FANG1, and Yinkang ZHOU2
Author Affiliations
  • 1School of Business, Anhui University, Hefei 230601, China
  • 2School of Geography and Ocean Science, Nanjing University, Nanjing 210093, China
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    Figures & Tables(6)
    Location of the study area and sample distribution
    Marginal effect of explicit and implicit abandonment of cultivated land
    Predicted values of probabilities of cultivated land abandonment and cultivated land use behaviors in different provinces
    • Table 1. Variable selection and definition

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      Table 1. Variable selection and definition

      类型变量定义均值标准差
      因变量y退耕=1;显性撂荒=2;隐性撂荒=3;转出耕地=4;正常耕种=5(参照组);转入耕地=64.0271.316
      核心变量耕地投入产出x1农户承包耕地总面积/亩6.1877.635
      x2从事自家农业劳动人口总数/人0.5810.720
      x3耕地种植种子、农药、化肥投入资金/元,取对数5.9493.070
      x4种植业雇佣劳动力费用/元,取对数0.9462.397
      x5耕地灌溉费用/元,取对数1.3352.571
      x6租用机械所需费用/元,取对数1.0932.459
      x7耕地种植所需其他费用/元,取对数0.9472.239
      x8农户持有机械的总价值/元,取对数1.4932.391
      x9家庭出售与自家消耗农副产品总值之和/元,取对数5.1174.377
      政策特征x10家庭是否领取退耕还林补贴:是=1,否=00.0610.238
      x11家庭是否领取农业补贴:是=1,否=00.6250.484
      x12家庭是否经历土地征用:是=1,否=00.0370.189
      控制变量家庭特征x13家庭成员打工、工资、经营、转移和财产收入/元,取对数9.0962.601
      x14家庭人口总数/人4.2991.848
      户主特征x15户主的健康程度打分分为7级,其中0.9为非常健康,0.8为很健康,0.7为比较健康,0.6为一般,0.5为比较不健康,0.4为不健康,0.3为非常不健康0.7060.174
      x16户主是否参加技能培训:是=1,否=00.0150.120
      x17户主年龄/岁,取对数3.9220.231
      x18户主是否为男性:是=1,否=00.8120.391
      x19户主的教育年限/年4.7234.423
      x20户主是否为非农户口:是=1,否=00.0510.219
      村庄特征x21是否是丘陵:是=1,否=00.3190.466
      x22是否是除平原或丘陵以外的其他地貌:是=1,否=00.3450.475
      x23村庄与最近的集镇距离交通(步行、骑行、乘车等)所需时间/h12.26049.999
      x24村庄是否属于矿区:是=1,否=00.1630.369
      x25是否遭受自然灾害:是=1,否=00.4960.500
      x26是否是旅游景区:是=1,否=00.0470.211
    • Table 2. Results of multivariate logistics model of cultivated land utilization behaviors

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      Table 2. Results of multivariate logistics model of cultivated land utilization behaviors

      层次变量退耕显性撂荒隐性撂荒耕地转出耕地转入
      回归系数边际效应回归系数边际效应
      耕地投入产出x1-0.808***0.0060.009***-0.014***0.0010.009-0.024***
      (0.160)(0.011)(0.001)(0.004)(0.001)(0.008)(0.007)
      x2-0.767***0.2430.017***-0.0190.005-0.466***0.137***
      (0.284)(0.186)(0.004)(0.036)(0.005)(0.087)(0.040)
      x3-1.005***-2.211***-0.033***-0.521***-0.048***-0.833***0.369***
      (0.068)(0.093)(0.002)(0.019)(0.002)(0.028)(0.040)
      x40.352**-2.615***-0.064***-0.074***-0.001-0.0060.044***
      (0.150)(0.207)(0.005)(0.009)(0.002)(0.019)(0.009)
      x50.162-2.415***-0.057***-0.032***0.007***-0.054**-0.009
      (0.176)(0.191)(0.005)(0.009)(0.002)(0.023)(0.012)
      x60.456***-2.685***-0.068***0.039***0.014***0.087***-0.001
      (0.151)(0.240)(0.006)(0.008)(0.002)(0.018)(0.010)
      耕地投入产出x70.322**-2.794***-0.068***-0.054***0.003**0.0060.0165*
      (0.164)(0.158)(0.004)(0.009)(0.002)(0.021)(0.010)
      x8-0.541***-1.312***-0.024***0.046***0.015***-0.148***0.080***
      (0.055)(0.062)(0.001)(0.009)(0.001)(0.022)(0.011)
      x9-0.407***-3.337***-0.074***0.086***0.026***0.068***-0.034***
      (0.039)(1.008)(0.023)(0.012)(0.004)(0.014)(0.009)
      政策特征x10-2.810***0.0420.028***-0.199**-0.007-0.588***-0.267**
      (0.561)(0.221)(0.004)(0.077)(0.009)(0.160)(0.126)
      x11-0.198-0.367***-0.007***-0.093*-0.015***0.221***0.025
      (0.124)(0.108)(0.002)(0.048)(0.006)(0.083)(0.052)
      x120.669***0.917***0.010***0.356***0.046***0.316*-0.452***
      (0.243)(0.240)(0.004)(0.098)(0.013)(0.174)(0.162)
      家庭特征x130.017-0.043*-0.001***-0.018***-0.0030.0460***0.008
      (0.033)(0.023)(0.000)(0.007)(0.001)(0.016)(0.009)
      x140.0390.0070.000-0.0090.000-0.091***0.006
      (0.031)(0.027)(0.001)(0.011)(0.001)(0.025)(0.016)
      户主特征x151.561***-0.196-0.020***-0.107-0.011-0.332*-0.041
      (0.304)(0.248)(0.005)(0.106)(0.013)(0.186)(0.167)
      x160.5000.5340.0020.097-0.0070.697***0.037
      (0.368)(0.401)(0.007)(0.179)(0.022)(0.266)(0.164)
      x170.3490.077-0.0050.0610.0080.476***-0.531***
      (0.267)(0.213)(0.004)(0.083)(0.010)(0.183)(0.114)
      x18-0.672***-0.1430.006**-0.031-0.002-0.208**0.228**
      (0.138)(0.121)(0.002)(0.046)(0.006)(0.087)(0.099)
      x19-0.003-0.0050.0000.0050.0010.017*-0.007
      (0.014)(0.013)(0.000)(0.004)(0.001)(0.009)(0.006)
      x200.2510.145-0.0010.0740.0100.157-0.246*
      (0.278)(0.178)(0.005)(0.103)(0.013)(0.149)(0.137)
      村庄特征x21-0.335*0.206*0.010***-0.014-0.003-0.1740.236**
      (0.174)(0.123)(0.003)(0.060)(0.007)(0.121)(0.109)
      x22-0.2020.2180.010***-0.065-0.003-0.327**0.055
      (0.174)(0.136)(0.003)(0.065)(0.008)(0.129)(0.094)
      x23-0.0010.0010.0000.0010.0000.0020
      (0.001)(0.001)(0.000)0.000(0.000)(0.001)(0.001)
      x24-0.528**-0.1190.002-0.082-0.0100.187-0.137
      (0.208)(0.164)(0.003)(0.073)(0.009)(0.125)(0.090)
      x251.074***0.396***-0.008***0.383***0.036***0.610***-0.061
      (0.139)(0.107)(0.002)(0.054)(0.006)(0.099)(0.070)
      x26-0.383-0.382-0.004-0.119-0.007-0.12-0.236*
      (0.402)(0.294)(0.007)(0.131)(0.016)(0.234)(0.132)
      Constant0.6912.938***0.231-1.826**-2.320***
      (1.207)(0.927)(0.372)(0.766)(0.554)
      Pseudo R2=0.360 伪似然对数=-21997.965
    • Table 3. Regression coefficients and marginal effect of cultivated land use behaviors and household agricultural labors

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      Table 3. Regression coefficients and marginal effect of cultivated land use behaviors and household agricultural labors

      人口(x2样本量退耕显性撂荒隐性撂荒耕地转出耕地转入
      系数边际效应系数边际效应系数边际效应系数边际效应系数边际效应
      19459-0.480-0.011*0.2110.004*0.148***0.011***-0.382***0.027***0.0640.004***
      (0.373)(0.006)(0.309)(0.005)(0.043)(0.006)(0.094)(0.006)(0.055)(0.005)
      21728-21.850***-0.038***-0.3320.080***-2.572***0.037***-1.516**-0.1670.412***0.080
      (0.413)(0.001)(0.531)(0.014)(0.454)(0.006)(0.599)(0.013)(0.101)(0.014)
      3275-19.810***-0.038***2.273***0.045***-22.070***0.058***-21.02***-0.196***0.1070.045***
      (0.438)(0.001)(0.411)(0.023)(0.151)(0.002)(0.208)(0.004)(0.190)(0.023)
      4102-20.360***-0.038***1.824***0.180***-22.120***0.056***-21.15***-0.196***0.993***0.180***
      (0.650)(0.001)(0.564)(0.044)(0.222)(0.003)(0.364)(0.004)(0.251)(0.044)
      516-20.470***-0.038***-15.170***0.032***-22.360***-0.068***-20.910***-0.196***-0.01890.032***
      (1.038)(0.001)(0.777)(0.071)(0.413)(0.001)(0.458)(0.004)(0.608)(0.071)
      61-18.550***-0.038***-16.770***-0.116***-23.420***-0.068***-22.130***-0.196***-25.010***-0.116***
      (1.475)(0.001)(1.170)(0.005)(1.016)(0.001)(1.013)(0.004)(0.970)(0.005)
      81-15.240***-0.038***-2.200-0.116-23.290***0.016***-21.620***-0.196***-24.620***-0.116***
      (1.800)(0.001)(4.231)(0.005)(1.020)(0.092)(1.022)(0.004)(0.997)(0.005)
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    Beibei GUO, Yelin FANG, Yinkang ZHOU. Influencing factors and spatial differentiation of cultivated land abandonment at the household scale[J]. Resources Science, 2020, 42(4): 696

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    Paper Information

    Received: Jul. 26, 2019

    Accepted: --

    Published Online: Apr. 15, 2021

    The Author Email:

    DOI:10.18402/resci.2020.04.09

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