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水稻优生区农户资本禀赋对其耕地保护决策行为的影响——基于双栏模型的实证研究

崔悦 赵凯 贺婧 曲朦

崔悦, 赵凯, 贺婧, 曲朦. 水稻优生区农户资本禀赋对其耕地保护决策行为的影响——基于双栏模型的实证研究[J]. 中国生态农业学报(中英文), 2019, 27(6): 959-970. doi: 10.13930/j.cnki.cjea.190034
引用本文: 崔悦, 赵凯, 贺婧, 曲朦. 水稻优生区农户资本禀赋对其耕地保护决策行为的影响——基于双栏模型的实证研究[J]. 中国生态农业学报(中英文), 2019, 27(6): 959-970. doi: 10.13930/j.cnki.cjea.190034
CUI Yue, ZHAO Kai, HE Jing, QU Meng. Effect of capital endowment on farmers' decision-making in protecting cultivated land in a rice-growing area:An empirical study based on a double-hurdle model[J]. Chinese Journal of Eco-Agriculture, 2019, 27(6): 959-970. doi: 10.13930/j.cnki.cjea.190034
Citation: CUI Yue, ZHAO Kai, HE Jing, QU Meng. Effect of capital endowment on farmers' decision-making in protecting cultivated land in a rice-growing area:An empirical study based on a double-hurdle model[J]. Chinese Journal of Eco-Agriculture, 2019, 27(6): 959-970. doi: 10.13930/j.cnki.cjea.190034

水稻优生区农户资本禀赋对其耕地保护决策行为的影响——基于双栏模型的实证研究

doi: 10.13930/j.cnki.cjea.190034
基金项目: 

国家社会科学基金西部项目 15XJY010

国家重点研发计划项目 2016YFC0503703-03

详细信息
    作者简介:

    崔悦, 主要研究方向为农业经济管理。E-mail:601409427@qq.com

    通讯作者:

    赵凯, 主要研究方向为土地经济和农业经济管理等。E-mail:zhaokai@nwafu.edu.cn

  • 中图分类号: F320

Effect of capital endowment on farmers' decision-making in protecting cultivated land in a rice-growing area:An empirical study based on a double-hurdle model

Funds: 

the Western Project of National Social Science Foundation of China 15XJY010

the National Key Research and Development Project of China 2016YFC0503703-03

More Information
  • 摘要: 水稻优生区农户对耕地实施保护性耕作的决策行为对于水稻产量及品质具有重要影响。本文基于农户资本禀赋视角,将农户资本禀赋分为人力资本禀赋、经济资本禀赋、自然资本禀赋和社会资本禀赋,借助水稻优生区宁夏青铜峡394户农户的微观数据,运用双栏模型将农户参与耕地保护决策行为划分为参与意愿和参与程度两个决策行为阶段,实证分析了水稻优生区农户资本禀赋对其参与耕地保护决策行为的影响,以期为科学制定水稻优生区耕地保护相关政策、保障农业绿色经济发展提供参考和借鉴。研究表明:1)绝大多数农户愿意参加耕地保护行为,但其从事耕地保护的支付意愿相对较低,愿意参加耕地保护的农户占73.86%,而平均支付意愿仅为3 100.65元·hm-2;2)人力资本禀赋(文化程度和农业培训)、经济资本禀赋(家庭收入和农机投入)以及社会资本禀赋(社会关系和社会参与)对农户耕地保护参与意愿和参与程度均为正向影响,自然资本禀赋(耕地禀赋和破碎程度)对农户耕地保护参与意愿有正向影响,对参与程度有负向影响;3)耕地保护重要性认知仅对农户耕地保护参与意愿有促进作用,而耕地保护政策了解程度对农户耕地保护参与意愿和参与程度均有促进作用。最后,提出建立健全耕地保护经济补偿政策、积极组建各类农业合作社和耕地保护组织以及培养新型农民、加大稻作区耕地保护宣传力度等政策建议。
  • 图  1  农户参与耕地保护决策行为的理论分析框架

    Figure  1.  Theoretical analysis framework of farmers' decision-making behavior of protecting cultivated land

    表  1  宁夏水稻优生区样本分布

    Table  1.   Sample distribution in rice-growing area of Ningxia Hui Autonomous Region

    样本分布
    Sample distribution
    青铜峡镇
    Qingtongxia Town
    瞿靖镇
    Qujing Town
    叶盛镇
    Yesheng Town
    大坝镇
    Daba Town
    邵岗镇
    Shaogang Town
    样本数
    Samples
    48 56 65 108 117
    下载: 导出CSV

    表  2  宁夏水稻优生区样本农户基本特征

    Table  2.   Basic characteristics of sample farmers households in rice-growing area of Ningxia Hui Autonomous Region

    统计指标
    Statistical indicator
    分类指标
    Classification indicator
    样本量
    Sample size
    比例
    Proportion
    (%)
    性别
    Gender
    男Male 266 67.51
    女Female 128 32.49
    年龄
    Age
    < 30 6 1.52
    30~40 31 7.87
    40~50 95 24.11
    50~60 130 33.00
    > 60 132 33.50
    文化程度
    Education level
    小学及以下Primary school or below 184 46.70
    初中Junior high school 166 42.13
    高中、中专Senior high school 39 9.90
    大专及以上College and above 5 1.27
    家庭人口数
    Family population
    1~2 117 29.70
    3~5 235 59.64
    > 5 42 10.66
    耕地面积
    Cultivated area
    (hm2)
    < 0.33 60 15.23
    0.33~0.67 127 32.23
    0.67~1.00 145 36.80
    > 1.00 62 15.74
    家庭年收入
    Annual household income
    (×104¥)
    < 5 112 28.43
    5~10 155 39.34
    10~15 76 19.29
    > 15 51 12.94
    下载: 导出CSV

    表  3  农户参与耕地保护决策行为的变量界定及描述性统计

    Table  3.   Variable definition and descriptive statistics of farmers' decision-making behavior of protecting cultivated land

    变量类型
    Variable type
    变量
    Variable
    变量说明
    Variable description
    变量界定
    Variable definition
    均值
    Mean
    标准差
    Standard deviation
    因变量Dependent variable
      参与意愿
      Willingness
    是否愿意参与耕地保护
    Farmland protection willingness
    愿意=1;不愿意=0
    Yes = 1; no = 0
    0.734 0.443
      参与程度
      Participation degree
    愿意投入多少资金
    Capital quantity invested on farmland protection
    ¥∙hm-2 3 100.65 4 691.222
    自变量Independent variable
    人力资本禀赋
    Human capital
    劳动能力
    Labor ability
    家庭劳动力数量
    Number of household labors
    2.576 1.056
    文化程度
    Educational level
    受教育程度
    Education level
    小学及以下=1;初中=2;高中、中专和职高=3;大专及以上=4
    Primary school or below = 1; junior high school = 2; senior high school = 3; college and above=4
    1.660 0.696
    农业培训
    Agricultural training
    是否参加过农技培训
    Participating agricultural technology training
    是=1;否=0
    Yes = 1; no = 0
    0.221 0.415
    经济资本禀赋
    Economic capital
    家庭收入
    Household income
    家庭年收入
    Annual household income
    104 ¥∙hm-2 8.566 5.964
    农机投入
    Agricultural machinery input
    农用机械工具数量
    Number of agricultural machinery tools
    0.916 0.762
    自然资本禀赋
    Natural capital
    耕地禀赋
    Farmland endowment
    人均耕地面积
    Cultivated area per capita
    hm2∙cap.-1 0.230 0.108
    破碎程度
    Fragmentation
    耕地破碎程度
    Cultivated land fragmentation
    耕地面积/地块数
    Cultivated area / plots number
    0.302 0.112
    社会资本禀赋
    Social capital
    社会关系
    Social relationship
    亲戚中是否有村干部
    Related to village cadres
    是=1;否=0
    Yes = 1; no = 0
    0.122 0.328
    社会网络
    Social network
    手机联系人数量
    Number of contacts
    59.287 82.013
    借钱难易程度
    Borrow money
    非常容易=1;容易=2;一般=3;不容易=4;非常不容易=5
    Very easy = 1; easy = 2; general = 3; difficult = 4; very difficult = 5
    2.563 1.810
    社会参与
    Social participation
    参与社区兴趣活动
    Community activities
    次数
    Times
    12.018 7.365
    是否参加农业合作社
    Participating agricultural cooperatives
    是=1;否=0
    Yes = 1; no = 0
    0.096 0.296
    控制变量
    Control variable
    耕地保护重要性认知
    Cognition of the importance of cultivated land protection
    很不重要=1;不重要=2;一般=3;重要=4;非常重要=5
    Very unimportant = 1; unimportant = 2; general = 3; important = 4; very important = 5
    4.292 0.954
    耕地保护政策了解程度
    Cultivated land protection policy understanding
    很不了解=1;不了解=2;一般=3;了解=4;非常了解=5
    Very ignorant = 1; not understand = 2; general = 3; understandable = 4; very understandable = 5
    3.046 1.437
    随着农业劳动力的老龄化, 老龄劳动力在农业生产中不容忽视, 因此家庭劳动力数量包含65岁以上参加农业耕作的老龄劳动力。With the aging of the agricultural labor force, the old labors cannot be ignored in agricultural production. Therefore, the number of household labors includes the labors over 65 years old.
    下载: 导出CSV

    表  4  宁夏水稻优生区农户参与耕地保护支付意愿程度累计频率分布

    Table  4.   Cumulative frequency distribution of the willingness of farmers to participate in cultivated land protection in rice-growing area of Ningxia Hui Autonomous Region

    序号
    Sequence number
    支付意愿程度
    Willingness to pay (¥∙hm-2)
    绝对频次
    Absolute frequency (persons)
    调整频度
    Adjusted frequency (%)
    累计频度
    Cumulative frequency (%)
    1 < 750 60 20.62 20.62
    2 [750, 1 500) 57 19.59 40.21
    3 [1 500, 2 250) 61 20.96 61.17
    4 [2 250, 3 000) 5 1.72 62.89
    5 [3 000, 3 750) 40 13.75 76.63
    6 [3 750, 4 500) 1 0.34 76.97
    7 [4 500, 5 250) 24 8.25 85.22
    8 [5 250, 6 000) 1 0.34 85.57
    9 [6 000, 7 500) 6 2.06 87.63
    10 [7 500, 15 000) 24 8.25 95.88
    11 > 15 000 12 4.12 100.00
    12 合计 291 100.00
    调整频度为区间支付意愿样本数占支付意愿样本总数(291)的百分比。The adjusted relative frequency is the percentage of farmers’ number willing to pay for the interval of the total farmer numbers willing to pay (291).
    下载: 导出CSV

    表  5  资本禀赋对宁夏水稻优生区农户劳动力数量影响的多重共线性检验结果

    Table  5.   Multi-collinearity test results of the influence of capital endowment on the labor force of farmers in rice-growing area of Ningxia Hui Autonomous Region

    被解释变量
    Explained variable
    解释变量
    Explanatory variables
    共线性统计量Collinear statistic
    VIF 膨胀因子Expansion factor
    劳动力数量
    Labor number
    人均耕地面积Cultivated area per cap. 1.45 0.69
    手机联系人数量Number of contacts 1.39 0.71
    是否参加农业合作社Participating agricultural cooperatives 1.33 0.75
    是否参加过农技培训Participating agricultural technology training 1.31 0.76
    受教育程度Education level 1.30 0.77
    亲戚中是否有村干部Related with village cadres 1.25 0.80
    家庭年收入Annual household income 1.25 0.80
    耕地破碎程度Cultivated land fragmentation 1.15 0.87
    农用机械工具数量Number of agricultural machinery tools 1.14 0.87
    参与社区兴趣活动Community activities 1.11 0.90
    借钱难易程度Borrow money 1.08 0.93
    平均Mean 1.25
    下载: 导出CSV

    表  6  基于双栏模型的资本禀赋对宁夏水稻优生区农户参与耕地保护决策行为影响的实证结果

    Table  6.   Empirical results of the influence of capital endowment based on double-hurdle model on farmers' participation in cultivated land protection decision-making behavior in rice-growing area of Ningxia Hui Autonomous Region

    变量类型
    Variable type
    变量
    Variable
    参与意愿
    Willingness to participation
    参与程度
    Participation degree
    系数
    Coefficient
    标准误
    Standard error
    系数
    Coefficient
    标准误
    Standard error
    人力资本禀赋
    Human capital
    家庭劳动力数量Number of household labors -0.066 0 0.089 2 -0.117 4 0.088 1
    受教育程度Education level 0.2411* 0.145 7 0.223 8** 0.100 2
    是否参加过农技培训
    Participating agricultural technology training
    0.054 0 0.238 1 0.321 8** 0.162 6
    经济资本禀赋
    Economic capital
    家庭年收入Annual household income -0.006 9 0.017 9 0.038 8** 0.016 3
    农用机械工具数量
    Number of agricultural machinery tools
    0.248 9** 0.125 7 -0.048 2 0.079 8
    自然资本禀赋
    Natural capital
    人均耕地面积Cultivated area per cap. 0.091 5** 0.040 0 -0.005 2 0.0122
    耕地破碎程度Cultivated land fragmentation -0.052 1 0.057 8 -0.043 1* 0.023 4
    社会资本禀赋
    Social capital
    亲戚中是否有村干部Related with village cadres 1.161 8** 0.539 0 0.025 4 0.173 6
    手机联系人数量Number of contacts -0.000 8 0.001 3 0.000 9 0.000 7
    借钱难易程度Borrow money -0.041 8 0.044 7 -0.046 8 0.034 9
    参与社区兴趣活动Community activities 0.018 4 0.013 3 0.006 6 0.008 2
    是否参加农业合作社
    Participating agricultural cooperatives
    1.079 8* 0.623 6 0.532 0** 0.237 2
    控制变量
    Control variable
    耕地保护重要性认知
    Cognition of the importance of cultivated land protection
    0.618 5*** 0.083 1 -0.119 2 0.097 1
    耕地保护政策了解程度
    Cultivated land protection policy understanding
    0.124 6** 0.060 8 0.198 1*** 0.047 1
    常数项Constant term -3.018 2*** 0.512 6 4.529 8*** 0.502 2
    样本量Sample size 394
    对数似然值Log likelihood value -1 760.904 2
    Wald卡方值Wald value 176.69***
    ***、**、*分别表示在1%、5%、10%的统计水平上显著。***, ** and * mean significance at the statistical levels of 1%, 5% and 10%, respectively.
    下载: 导出CSV
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  • 收稿日期:  2019-01-09
  • 录用日期:  2019-02-28
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