Resources Science ›› 2018, Vol. 40 ›› Issue (2): 417-426.doi: 10.18402/resci.2018.02.17
• Orginal Article • Previous Articles Next Articles
Received:
2017-05-16
Revised:
2017-08-08
Online:
2018-02-20
Published:
2018-02-11
Lun HU, Qian LU. Poverty reduction effects of water-saving irrigation technology adoption under drought risk in Zhangye, Gansu[J].Resources Science, 2018, 40(2): 417-426.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
Table 1
Explanations of variable and descriptive statistics of farmers in study area"
变量名称 | 变量定义及计算方法 | 极小值 | 极大值 | 均值 | 标准差 |
---|---|---|---|---|---|
贫困发生 | 当前人均年纯收入高于贫困线2 800元时,取值为0,否则发生贫困取值1 | 0 | 1 | 0.498 | 0.500 |
贫困脆弱性 | 采用万广华[ | 0 | 1 | 0.039 | 0.194 |
技术采用意愿 | 不愿意=1,中立=2,愿意=3,非常愿意=4 | 1 | 4 | 1.641 | 0.695 |
农业干旱风险/元 | 在面临干旱风险冲击时,农户通过灌溉农作物获取的大概收入 | 1 000 | 7 424.00 | 2 627.52 | 4 082.38 |
性别 | 男=1,女=0 | 0 | 1 | 0.576 | 0.495 |
年龄/岁 | 按照实际调查数据 | 13 | 80 | 51.460 | 10.692 |
教育/年 | 按照实际调查数据 | 0 | 13 | 5.763 | 3.806 |
男性劳动力/人 | 按照实际调查数据 | 0 | 6 | 2.567 | 1.246 |
女性劳动力/人 | 按照实际调查数据 | 0 | 6 | 1.434 | 0.668 |
家庭负担系数/人 | 家庭需要扶养18岁以下小孩和赡养60岁以上老人人数 | 0 | 6 | 1.061 | 0.843 |
家庭务农人数/人 | 按照实际调查数据 | 0 | 8 | 2.035 | 0.981 |
家庭总收入(对数)/元 | 2014年家庭获得农业收入和非农业收入的总和,在此取对数 | 8.610 | 14.520 | 11.130 | 0.612 |
Table 2
The mcdel estimation results of water-saving irrigation technology adoption and poverty status in study area"
变量名称 | 贫困发生 | 贫困脆弱性 | |||
---|---|---|---|---|---|
模型 1 | 模型 2 | 模型 3 | 模型 4 | ||
技术采用 | -0.453***(0.150) | -0.459***(0.151) | -1.087**(0.479) | -1.146**(0.505) | |
性别 | -0.157(0.205) | -0.157(0.206) | 1.411**(0.636) | 1.425**(0.653) | |
年龄 | 0.015(0.010) | 0.014(0.010) | -0.031(0.026) | -0.030(0.029) | |
教育 | 0.012(0.690) | 0.022(0.029) | -0.016(0.077) | -0.036(0.080) | |
男性劳动力 | 0.269***(0.075) | 0.262***(0.075) | 0.030(0.185) | 0.030(0.187) | |
女性劳动力 | 0.365**(0.177) | 0.389**(0.178) | 1.005**(0.484) | 0.917*(0.508) | |
家庭负担系数 家庭务农人数 家庭财富水平 | -0.075(0.119) -0.290***(0.111) - | -0.100(0.121) -0.288**(0.112) -0.393**(0.159) | -0.906**(0.360) -0.280(0.280) - | -0.811**(0.362) -0.288(0.287) 1.095***(0.334) | |
_cons | -0.569(0.660) | 3.836**(1.894) | -1.126(1.695) | 13.325***(4.151) |
Table 3
The estimation results of instrumental variable"
第一阶段 | 被解释变量:灌溉技术采用意愿 | 第二阶段 | 被解释变量:贫困发生与贫困脆弱性 | |||
---|---|---|---|---|---|---|
模型 5 | 模型 6 | 模型 7 | 模型 8 | |||
工具变量 (IV) | 0.103*** (0.038) | 0.093*** (0.029) | 节水灌溉技术采用 | -0.568* (0.324) | 0.220 (0.159) | |
控制变量 | 省略 | 省略 | 控制变量 | 省略 | 省略 | |
R2 | 0.247 | 0.246 | Wald外生性检验P值 | 0.000 7*** | 0.000 0*** | |
调整R2 | 0.236 | 0.235 | 最小特征值统计量 | 10.812 | 10.163 | |
F统计量 | 19.490 | 21.640 | Durbin 检验P值 | 0.068* | 0.047** | |
Wu-Hausman检验P值 | 0.070* | 0.049** |
Table 4
The model estimate result of agricultural drought risk and poverty status in study area"
贫困发生 | 贫困脆弱性 | ||||
---|---|---|---|---|---|
变量名称 | 模型9 | 模型10 | 模型11 | 模型12 | |
干旱风险 | 0.591***(0.189) | 0.592***(0.197) | 1.396***(0.528) | 1.319**(0.536) | |
性别 | - | -0.173(0.205) | - | 1.264**(0.613) | |
年龄 | - | 0.019**(0.010) | - | -0.017(0.025) | |
教育 | - | 0.014(0.029) | - | 0.004(0.075) | |
男性劳动力 | - | 0.270***(0.074) | - | 0.036(0.185) | |
女性劳动力 | - | 0.137(0.156) | - | 0.462(0.399) | |
家庭负担系数 家庭务农人数 _cons | - -2.085(0.760) | -0.047(0.115) -0.379***(0.108) -3.384(1.064) | - -8.978(2.258) | -0.784**(0.366) -0.352(0.284) -8.128(3.020) |
Table 5
Water-saving irrigation technology adoption interact agriculture drought risk to effect on proverty in study area"
变量名称 | 贫困发生 | 贫困脆弱性 | |||
---|---|---|---|---|---|
模型13 | 模型14 | 模型15 | 模型16 | ||
技术采用意愿 干旱风险 | -0.401***(0.151) 0.588***(0.198) | -0.515***(0.197) 0.648***(0.200) | -1.047**(0.493) 1.261**(0.530) | -2.987(3.229) 1.592**(0.731) | |
交互作用 性别 | - -0.163(0.206) | -0.100*(0.051) -0.197(0.208) | - 1.394**(0.637) | -0.531(0.765) 1.358**(0.636) | |
年龄 | 0.018*(0.010) | 0.020*(0.010) | -0.023(0.026) | -0.021(0.026) | |
教育 | 0.012(0.029) | 0.018(0.029) | -0.002(0.077) | 0.007(0.078) | |
男性劳动力 | 0.262***(0.075) | 0.246***(0.075) | 0.029(0.187) | 0.014(0.188) | |
女性劳动力 | 0.323*(0.173) | 0.292*(0.176) | 1.081**(0.508) | 1.052**(0.525) | |
家庭负担系数 家庭务农人数 _cons | -0.088(0.117) -0.339***(0.110) -2.976***(1.075) | -0.061(0.119) -0.333***(0.111) -2.821***(1.085) | -0.835**(0.365) -0.341**(0.293) -6.908**(3.043) | -0.864**(0.374) -0.357(0.294) -4.224(5.151) |
Table 6
Robustness test of the model"
变量名称 | 贫困发生率 | 贫困脆弱性 | |||||
---|---|---|---|---|---|---|---|
模型 17 | 模型 18 | 模型 19 | 模型 20 | 模型 21 | 模型 22 | ||
技术采用类型 | -0.126***(0.043) | - | -0.081*(0.048) | -0.221*(0.128) | - | -0.424(0.295) | |
干旱经济损失程度 | - | 0.339**(0.043) | 0.287*(0.170) | - | 0.771*(0.430) | 0.909*(0.488) | |
交互作用 | - | - | -0.056**(0.024) | - | - | -0.232(0.215) | |
控制变量 | 有 | 有 | 有 | 有 | 有 | 有 |
[1] | 中新网.甘肃罕见大旱秋收惨变无收[EB/OL].(2016-09-12)[2018-1-16].. |
[China news.The harvest had done without charged because of rare drought in autumn in Gansu.(2016-09-12)[2018-1-16]..] | |
[2] | 王生元. 西北干旱检测预警技术提升监测预警准确率至80以上[ EB/OL]. (2014-01-14)[2017-11-01]. . |
[Wang S Y. The Northwest Drought Early Warning Monitoring Technology Improved the Accuracy Rate Over [EB/OL]. (2014-01-14)[2017-11-01]. ] | |
[3] | 田玉龙. 移民村大变样: 张掖高台县深入推进精准扶贫纪实[EB/OL]. (2015-10-01)[2017-11-01]. . |
[Tian Y L. Big Change: Immigrant Village in Gaotai County of Zhangye Further Promote Accurate Poverty Documentary[EB/OL]. (2015-10-01)[2017-11-01]. ] | |
[4] | 国务院办公厅. 国务院办公厅关于印发国家农业节水纲要(2012-2020年)的通知[EB/OL]. (2012-12-15)[2017-11-01]. . |
[The General Office of the State Council. The General Office of the State Council on the Issuance of the National Agricultural Water Conservation Program (2012-2020) Notice[EB/OL]. (2012-12-15)[2017-11-01]. ] | |
[5] | 张掖市. 张掖65个贫困村精准扶贫工作会议召开[EB/OL]. (2015-05-09)[2017-11-01]. . |
[Zhangye People's Government. 65 Poor Villages Zhangye Precise Poverty Alleviation Work Conference Held [EB/OL]. (2015-05-09)[2017-11-01]. ] | |
[6] | Feder G, Just R E, Ziberman D.Adoption of agriculture innovation in developing countries: a survey[J]. Economic Development and Cultural change, 1985, 33(2): 321-320. |
[7] | Fitsum H, Gayathri J, Bekele A S, et al. Agricultural water management and poverty in Ethiopia[J]. Agricultural Economics, 2012, 43(1): 99-111. |
[8] | 李忠鹏. 技术进步与农民增收[J]. 农村经济, 2006, (11): 58-59. |
[Li Z P.Progress of technology and the increase of peasants' income[J]. Rural Economy, 2006, (11): 58-59. ] | |
[9] | 陈玉萍, 吴海涛, 陶大云, 等. 基于倾向得分匹配法分析农业技术采用对农户收入的影响-以滇西南农户改良陆稻技术采用为例[J]. 中国农业科学, 2010, 43(17): 3667-3676. |
[Chen Y P, Wu H T, Tao D Y, et al. Based on propensity score matching method analysis the agricultural technology effect on farmers' income-as an example by using the farmers in southwestern Yunnan of improved upland rice technology[J]. Chinese Agricultural Science, 2010, 43(17): 3667-3676. ] | |
[10] | 崔惠斌, 庄丽娟, 王楷洁. 先进技术采用有效改善了农户的收入水平吗?来自荔枝主产区的证据[J]. 农林经济管理学报, 2016, 15(5): 515-523. |
[Cui H B, Zhuang L J, Wang K J.Use advanced technology to effectively improve the income level of farmers? Evidence from Litchi producing areas[J]. Journal of Agricultural Economics and Management, 2016, 15(5): 515-523. ] | |
[11] | Dercon S, Krishnan P.Vulnerability, seasonality and poverty in Ethiopia[J]. Journal of Development Studies, 2000, 36(6): 25-53. |
[12] | Kloos H.Peasant irrigation development and food production in Ethiopia[J]. Geographical Journal, 1991, 157(3): 295-306. |
[13] | Eric C, Schuck W, Marshall F, et al. Adoption of more technically efficient irrigation systems as a drought response[J]. International Journal of Water Resources Development, 2005, 21(4): 651-662. |
[14] | 甘肃扶贫网. 甘肃省贫困县名单[EB/OL]. (2017-04-06)[2017-11-01]. . |
[Gansu Poverty Reduction Network Information. List of Poor Counties in Gansu[EB/OL]. (2017-04-06)[2017-11-01]. ] | |
[15] | 甘肃扶贫网. 甘州区全面展开贫困村精准脱贫居民收入调查工作[EB/OL]. (2015-10-16)[2017-11-01]. . |
[Gansu Poverty Reduction Network Information. Ganzhou District Comprehensive Development of Poverty Village, Accurate Poverty-Stricken Residents Income Survey Work[EB/OL]. (2015-10-16)[2017-11-01]. ] | |
[16] | 张掖市委, 市人民政府. 张掖综合年鉴2015[M]. 兰州: 甘肃文化出版社, 2015. |
[Zhangye Municipal Party Committee and Municipal Government. Zhangye Yearbook 2015[M]. Lanzhou: Gansu Culture Press, 2015. ] | |
[17] | 万广华, 刘飞, 章元. 资产视角下的贫困脆弱性分解: 基于中国农户面板数据的经验分析[J]. 中国农村经济, 2014, (4): 4-19. |
[Wan G H, Liu F, Zhang Y.On the assets perspective of poverty vulnerability decomposition: Based on the Chinese peasant household panel data analysis of the experience[J]. Chinese Rural Economy, 2014, (4): 4-19. ] | |
[18] | 王格玲, 陆迁. 社会网络影响农户技术采用倒U型关系的检验-以甘肃省民勤县节水灌溉技术采用为例[J]. 农业技术经济, 2015, (10): 92-106. |
[Wang G L, Lu Q.Inverted U-shaped relationship between social network and farmers’ technology adoption-an example of water-saving irrigation technology in the Minqin County, Gansu province[J]. Journal of Agro-technical Economics, 2015, (10): 92-106. ] | |
[19] | Stock J, Yogo M.Testing for weak instruments in linear IV regression[J]. Nber Technical Working Papers, 2010, 14(1): 80-108. |
|