Arid Land Geography ›› 2021, Vol. 44 ›› Issue (3): 858-866.doi: 10.12118/j.issn.1000–6060.2021.03.28
• Regional Development • Previous Articles Next Articles
HOU Qingfeng(),JIANG Zhirong(
)
Received:
2020-03-17
Revised:
2020-04-14
Online:
2021-05-25
Published:
2021-06-01
Contact:
Zhirong JIANG
E-mail:373418622@qq.com;jzhirong@gsau.edu.cn
HOU Qingfeng,JIANG Zhirong. Effects of targeted poverty alleviation on the sustainable livelihood of farmers and herdsmen in the upper reaches of the Yellow River[J].Arid Land Geography, 2021, 44(3): 858-866.
Tab. 1
Data descriptive statistics /元"
区域 | 时期 | 人均可支配收入 | 家庭农业收入 | 家庭非农收入 | 家庭政策收入 | 家庭总收入 |
---|---|---|---|---|---|---|
青海省 | 扶贫前 | 15797.57 | 36346.67 | 13568.51 | 8815.32 | 58572.52 |
扶贫后 | 19888.00 | 44308.56 | 21567.98 | 12658.00 | 78534.54 | |
甘肃省 | 扶贫前 | 6508.00 | 4407.42 | 24979.23 | 1375.59 | 26536.62 |
扶贫后 | 9341.00 | 4785.18 | 31699.65 | 1619.54 | 38104.36 | |
两省平均 | 扶贫前 | 9993.73 | 16392.61 | 20697.37 | 4167.35 | 41257.32 |
扶贫后 | 13299.05 | 20582.10 | 24188.38 | 5761.71 | 50532.20 |
Tab. 2
Definition of main variables in difference-in-differences (DID) model"
变量名称 | 测量指标 | 解释说明 |
---|---|---|
被解释变量(Y) | 政府供养生计(Y3) | 政府补贴收入指数 |
非农生计(Y2) | 务工收入和三产经营收入指数 | |
农业生计(Y1) | 种植和养殖业收入指数 | |
精准扶贫效果(Y) | 家庭总收入指数 | |
解释变量(DID) | 是否为贫困户(Treated) | 贫困户=1,非贫困户=0 |
精准扶贫前后(T) | 精准扶贫后=1,精准扶贫前=0 | |
控制变量(X) | 人均耕地面积(X1) | 家庭人均耕地面积指数(家庭总耕地面积/家庭人口) |
树木和草地数量认知(X2) | 变少=0.3,不变=0.6,变多=0.9 | |
自然环境认知(X3) | 较差=0.25,一般=0.5,比较好=0.75,非常好=1 | |
固定资产及耐用消费品价值(X4) | 实际观测值取指数 | |
住房面积(X5) | 实际观测值取指数 | |
住房结构(X6) | 简易房=0.25,土木=0.5,砖木=0.75,砖混=1 | |
家庭现金拥有量(X7) | 实际观测值取指数 | |
借贷能力认知(X8) | 无借贷能力=0.3,有困难=0.6,有借贷能力=0.9 | |
劳动力数量(X9) | 实际观测值取指数 | |
户主文化程度(X10) | 未上过学=0,小学=0.2,初中=0.4,高中=0.6,大学=1 | |
家庭成员健康状况(X11) | 残疾=0.25,普通病=0.5,慢性病=0.75,健康=1 | |
对邻里关系认知(X12) | 差=0.3,一般=0.6,好=0.9 | |
参加村委会会议差状况(X13) | 从不参加=0.25,很少参加=0.5,偶尔参加=0.75,经常参加=1 | |
对基础设施认知(X14) | 有改善=1,无改善=0 |
Tab. 3
Results of empirical analysis"
Y | Y1 | Y2 | Y3 | |
---|---|---|---|---|
DID | 0.0139*(0.0158) | 0.0125**(0.0081) | -0.0186**(0.0087) | 0.0328***(0.0108) |
Treated | 0.0024(0.0024) | 0.0033***(0.0012) | -0.0036***(0.0011) | 0.0049***(0.0014) |
T | 0.0112(0.0118) | -0.0058***(0.0027) | 0.0128(0.0084) | -0.0040(0.0045) |
Cons | -0.0042**(0.0016) | -0.0017***(0.0004) | 0.0012(0.0010) | -0.0045***(0.0006) |
Tab. 4
Estimation results of DID model after the introduction of control variables"
Y1 | Y2 | Y3 | Y | |
---|---|---|---|---|
X1 | -0.0643**(0.0277) | -0.0897(0.0624) | 0.1210*(0.0131) | -0.0351(0.0793) |
X2 | 0.01767*(0.0090) | -0.0008(0.0083) | -0.0367***(0.003) | -0.0217*(0.0124) |
X3 | 0.0044(0.0065) | 0.0068(0.0089) | 0.0014(0.0163) | 0.0114(0.0164) |
X4 | 0.1034**(0.0565) | -0.1123*(0.0678) | 0.0416(0.0338) | 0.0646(0.0697) |
X5 | -0.0385*(0.0221) | 0.0731(0.0495) | -0.0027(0.0292) | 0.0332(0.0462) |
X6 | -0.0205(0.0185) | -0.0669(0.0537) | -0.0372(0.0281) | -0.1245***(0.0458) |
X7 | 0.7541***(0.1032) | 0.3773*(0.2726) | 0.2114***(0.0819) | 1.3330***(0.2167) |
X8 | -0.0105(0.0142) | 0.0269(0.0250) | 0.0156(0.0373) | 0.0351(0.0383) |
X9 | 0.0643***(0.0224) | 0.1381***(0.0319) | -0.0663(0.0408) | 0.1378***(0.0507) |
X10 | -0.0142(0.0094) | 0.0249*(0.0141) | -0.0826***(0.0206) | -0.0719***(0.0217) |
X11 | -0.0015(0.0112) | 0.0208**(0.0091) | -0.1260**(0.0552) | -0.1000**(0.0488) |
X12 | 0.0006(0.0178) | -0.0127(0.0095) | -0.0094(0.0331) | -0.0204(0.0344) |
X13 | 0.0030(0.0078) | 0.0025(0.0099) | 0.0032(0.0272) | 0.0085(0.0259) |
X14 | 0.0206(0.0172) | 0.0030(0.0112) | 0.0111(0.0131) | 0.0306**(0.0152) |
Cons | -0.0053(0.0049) | 0.0008(0.0041) | 0.0303*(0.0157) | 0.0246*(0.0143) |
DID | 0.0165***(0.0049) | -0.0108**(0.0052) | 0.0342***(0.0099) | 0.0396***(0.0106) |
Treated | 0.0051***(0.0012) | -0.0018(0.0013) | 0.0052***(0.0014) | 0.0084***(0.0019) |
T | -0.0229(0.0231) | 0.0120(0.0216) | 0.1503**(0.0632) | 0.1345**(0.0629) |
R-squared | 0.6007 | 0.1747 | 0.1595 | 0.4876 |
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