Research on planting industrial efficiency based on poverty identification and targeted assistance: Evidence from farmers&#39; household micro-data

Gang WANG; He-ping LIAO; Hui-kun HONG; Yi-ming CHEN; Tao LI

doi:10.31497/zrzyxb.20200515

Journals >Journal of Natural Resources >Volume 35 >Issue 5 >Page 1201 > Article

Journal of Natural Resources
Vol. 35, Issue 5, 1201 (2020)

Research on planting industrial efficiency based on poverty identification and targeted assistance: Evidence from farmers' household micro-data

Gang WANG^1、2, He-ping LIAO^1、2、*, Hui-kun HONG^1、2, Yi-ming CHEN³, and Tao LI^1、2

Author Affiliations

¹School of Geographical Sciences, Southwest University, Chongqing 400715, China

²Southwestern University Center for Precision Poverty Alleviation and Regional Development Assessment, Chongqing 400715, China

³College of Economics and Management, Southwest University, Chongqing 400715, China

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DOI: 10.31497/zrzyxb.20200515 Cite this Article

Gang WANG, He-ping LIAO, Hui-kun HONG, Yi-ming CHEN, Tao LI. Research on planting industrial efficiency based on poverty identification and targeted assistance: Evidence from farmers' household micro-data[J]. Journal of Natural Resources, 2020, 35(5): 1201 Copy Citation Text

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Fig. 1. Theoretical framework construction

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Fig. 2. Location of Shizhu county

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Fig. 3. Distribution of sample villages

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一级指标	二级指标	变量及说明	均值	标准差
投入	土地投入	调查期农户拥有耕地面积/亩	5.592	4.176
	资本投入	化肥、农药、种子、种苗支出/(元/亩)	411.179	1297.651
	劳动力投入	常住务农劳动力/(人/亩)	0.370	0.336
产出	种植业总产值	种植业总产值/元	1967.11	4706.517

Table 1. DEA model variable definition and descriptive statistics

变量转换	方差齐性假设	方差方程的Levene检验		均值方程的t检验
变量转换	方差齐性假设	F	Sig.	t	Sig.
lg	假设方差相等	0.321	0.571	3.549	0.000^***
	假设方差不相等			3.549	0.000^***
	村域识别	N	均值	标准差
	非贫困村	234	-0.1672	0.01300
	贫困村	300	-0.1631	0.01300

Table 2. Descriptive statistics and t test of village factor level

齐性检验	Levene统计量	35.795	ANOVA	组间F检验	113.486
齐性检验	P	0.081	ANOVA	P	0.000^***
农户贫困识别	贫困户	0.6701(M)	LSD	贫困户—脱贫户	0.000^***(P)
	脱贫户	0.6804(M)		脱贫户—一般农户	0.000^***(P)
	一般农户	0.6991(M)		贫困户—一般农户	0.000^***(P)

Table 3. Descriptive statistics and t test of farmer household factor level

一级指标	二级指标	含义或赋值	均值	标准差
户主特征	性别	男=1;女=2	0.756	0.430
	年龄	实际年龄/岁	55.019	10.715
	年龄平方项	考虑年龄对效率的非线性关系	3333.251	1311.480
	受教育程度	初中及以下=1;初中以上=2	0.635	0.482
家庭特征	家庭人均可支配收入	家庭人均可支配收入/元	7720	4965
	种植业收入比例	种植业收入占农户总收入的比例/%	0.3641	0.9490
	耕地规模	人均耕地数量/亩	1.557	0.879
政策因素	农业补贴	农业补贴/(元/亩)	1218	3042
	技能培训	已接受培训=1;未接受培训=0	0.279	0.449
	特色作物	已发展特色作物=1;未发展特色作物=0	0.411	0.492
	基础设施建设	已建成村道占县域建成村道的比例/%	0.023	0.011

Table 4. Variable definition and descriptive statistics

变量	非贫困村				贫困村
变量	β	Sig.	容差	VIF	β	Sig.	容差	VIF
常量	-0.204^***(0.047)	0.000			-0.137^***(0.040)	0.001
X₁	0.021(0.004)	0.289	0.837	1.195	0.02(0.002)	0.288	0.834	1.199
X₂	-0.001(0.031)	0.986	0.051	19.665	-0.054^**(0.026)	0.041	0.050	20.096
X₃	0.000(0.000)	0.832	0.050	20.092	0.000^***(0.000)	0.004	0.049	20.224
X₄	-0.002(0.001)	0.217	0.931	1.074	-0.002(0.001)	0.181	0.922	1.085
X₅	0.014^***(0.002)	0.000	0.886	1.128	0.019^***(0.002)	0.000	0.822	1.216
X₆	0.017^***(0.002)	0.000	0.866	1.154	0.017^***(0.002)	0.000	0.872	1.147
X₇	-0.041^***(0.003)	0.000	0.854	1.171	-0.038^***(0.002)	0.000	0.891	1.123
X₈	0.001(0.001)	0.735	0.970	1.031	0.003^**(0.001)	0.013	0.917	1.091
X₉	0.001(0.001)	0.332	0.880	1.136	0.004^***(0.001)	0.003	0.849	1.178
X₁₀	0.003^**(0.001)	0.026	0.898	1.114	0.000(0.001)	0.847	0.975	1.026
X₁₁	0.023(0.019)	0.227	0.819	1.221	0.020^***(0.006)	0.001	0.875	1.142
Anova	F	29.381^***	Sig.	0.000	F	47.319^***	Sig.	0.000
调整R²	0.523	D-W		0.979	调整R²	0.582	D-W	1.044

Table 5. Regression results of planting industry efficiency at the level of village factors

属性	指标	常量	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉	X₁₀	X₁₁
贫困户	β	-0.191^*** (0.051)	0.001 (0.001)	-0.001 (0.033)	0.000(0.000)	-0.002 (0.002)	0.012^*** (0.003)	0.019^*** (0.002)	-0.042^*** (0.004)	-0.002 (0.002)	0.001 (0.001)	0.002 (0.001)	0.005 (0.004)
	Sig.	0.000	0.256	0.986	0.895	0.350	0.000	0.000	0.000	0.174	0.677	0.155	0.214
	容差		0.737	0.054	0.055	0.881	0.717	0.806	0.891	0.857	0.920	0.868	0.767
	VIF		1.357	18.358	18.162	1.135	1.394	1.241	1.122	1.167	1.087	1.152	1.304
脱贫户	β	-0.168^*** (0.030)	0.003 (0.002)	-0.004 (0.019)	0.000(0.000)	-0.001 (0.001)	0.004^*** (0.002)	0.004^*** (0.001)	-0.016^*** (0.002)	0.001^** (0.001)	0.001^** (0.001)	0.001^** (0.001)	0.013 (0.009)
	Sig.	0.000	0.301	0.841	0.766	0.284	0.050	0.001	0.000	0.049	0.042	0.048	0.151
	容差		0.838	0.056	0.053	0.944	0.781	0.778	0.778	0.951	0.960	0.931	0.812
	VIF		1.193	18.000	18.767	1.060	1.281	1.285	1.285	1.052	1.042	1.074	1.232
一般农户	β	-0.164^** (0.074)	0.001 (0.001)	-0.037^** (0.049)	0.000^***(0.000)	-0.002 (0.002)	0.020^*** (0.003)	0.021^*** (0.002)	-0.041^*** (0.003)	-0.001 (0.002)	0.004^** (0.002)	0.001 (0.001)	0.018 (0.011)
	Sig.	0.029	0.286	0.445	0.212	0.346	0.000	0.000	0.000	0.482	0.023	0.632	0.104
	容差		0.832	0.032	0.032	0.913	0.849	0.876	0.854	0.941	0.840	0.951	0.739
	VIF		1.202	30.865	31.092	1.096	1.178	1.142	1.171	1.062	1.190	1.051	1.353
贫困户		R²	0.586	调整R²		0.558	Anova	F	21.207^***	Sig.	0.000	D-W	1.071
脱贫户		R²	0.246	调整R²		0.213	Anova	F	7.540^***	Sig.	0.000	D-W	0.358
一般农户		R²	0.641	调整R²		0.621	Anova	F	31.958^***	Sig.	0.000	D-W	1.198

Table 6. The regression result of planting industry efficiency at the factor level of farmers

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