Tác động của quyền sử dụng đất nông nghiệp lên hiệu quả sản xuất nông nghiệp Việt Nam - Tiếp cận bằng các mô hình toán kinh tế

Phụ lục 4.2d: Kết quả mô hình GEE đánh giá tác động của quyền sử dụng đất đến hiệu quả kĩ thuật

. xtgee TE_profit i.redbook i.arean i.educ1n i.agen i.female i.kinh i.weather i.year, family(binomial) link(log

> it) corr(indep) vce(robust) nolog

GEE population-averaged model Number of obs = 2,869 Group variable: id Number of groups = 1,701 Link: logit Obs per group:

Family: binomial min = 1

Correlation: independent avg = 1.7

max = 3

Wald chi2(12) = 356.79

Scale parameter: 1 Prob > chi2 = 0.0000

Pearson chi2(2869): 226.85 Deviance = 218.73

Dispersion (Pearson): .079069 Dispersion = .0762408

(Std. Err. adjusted for clustering on id)

TE_profit

Coef.	Robust Std. Err.	z	P>\|z\|	[95% Conf.	Interval]
1.redbook arean 1 2 educ1n 1 2 agen 1 2 1.female 1.kinh 1.weather year 2016 2018 _cons	.1074435	.0369727	2.91	0.004	.0349784	.1799087
	.1022559	.0399213	2.56	0.010	.0240115	.1805002
	.2672066	.0492593	5.42	0.000	.1706601	.3637531
	.0620097	.0370597	1.67	0.094	-.0106259	.1346454
	.0159655	.0456883	0.35	0.727	-.073582	.105513
	.0513042	.036222	1.42	0.157	-.0196896	.122298
	-.135876	.049918	-2.72	0.006	-.2337134	-.0380386
	-.0961493	.0421075	-2.28	0.022	-.1786784	-.0136201
	.1679716	.0476759	3.52	0.000	.0745287	.2614146
	.0648722	.0257659	2.52	0.012	.014372	.1153724
	-.2436517	.0236853	-10.29	0.000	-.290074	-.1972294
	-.3985851	.0256343	-15.55	0.000	-.4488275	-.3483427
	.9308268	.0609321	15.28	0.000	.8114021	1.050251

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Phụ lục 4.2e: Kết quả mô hình phi tham số đánh giá tác động của quyền sử dụng đất đến hiệu quả kĩ thuật

. npregress kernel TE_profit i.redbook i.arean i.educ1n i.agen i.female i.kinh i.weather i.year, vce(bootstrap,

> reps(5) seed(12))

(running npregress on estimation sample)

Bootstrap replications (5)

1 2 3 4 5

.....

Bandwidth

Mean	Effect
redbook	.51875	.51875
arean	.51875	.51875
educ1n	.51875	.51875
agen	.51875	.51875
female	.51875	.51875
kinh	.51875	.51875
weather	.51875	.51875
year	.4	.4

Local-constant regression

Number of obs	=	2,869
Kernel : liracine	R-squared	=	0.1215

Bandwidth: cross validation

TE_profit

Observed Estimate

Bootstrap Std. Err.

P>|z|

Percentile

[95% Conf. Interval]

Mean

TE_profit

.7413055

.0011014

673.08

0.000

.73988

.7427

Effect

redbook (1 vs 0)

arean (1 vs 0)

(2 vs 0)

educ1n (1 vs 0)

(2 vs 0)

agen (1 vs 0)

(2 vs 0)

female (1 vs 0)

kinh (1 vs 0)

weather (1 vs 0)

year (2016 vs 2012)

(2018 vs 2012)

.0049905

.0018672

2.67

0.008

.0029953

.0076126

.0035582

.0013619

2.61

0.009

.0011928

.004635

.0050631

.001079

4.69

0.000

.0025182

.005265

.0050912

.0019484

2.61

0.009

.0034738

.0086893

.003089

.0016975

1.82

0.069

.0005809

.004633

.0045305

.0009773

4.64

0.000

.0045726

.0070253

-.0050714

.0017089

-2.97

0.003

-.0072808

-.0027149

-.0055183

.0014188

-3.89

0.000

-.0066784

-.0036073

.0056655

.0017725

3.20

0.001

.0036736

.0082679

.0031897

.000826

3.86

0.000

.0022128

.004254

-.015613

.0031315

-4.99

0.000

-.0198061

-.0118762

-.0266441

.002197

-12.13

0.000

-.0296

-.0238973

Phụ lục 4.2f: Kết quả mô hình GEE đánh giá tác động của quyền sử dụng đất đến hiệu quả phân bổ

. xtgee AE i.redbook i.arean i.educ1n i.agen i.female i.kinh i.weather i.year, family(binomial) link(logit) cor

> r(indep) vce(robust) nolog

GEE population-averaged model

	Number of obs =	2,869
Group variable: Link: Family:	id logit binomial	Number of groups = Obs per group: min =	1,701 1
Correlation:	independent	avg =	1.7
		max =	3
		Wald chi2(12) =	405.61
Scale parameter:	1	Prob > chi2 =	0.0000
Pearson chi2(2869):	49.55	Deviance =	50.54
Dispersion (Pearson):	.0172702	Dispersion =	.017615

(Std. Err. adjusted for clustering on id)

Coef.	Robust Std. Err.	z	P>\|z\|	[95% Conf.	Interval]
1.redbook arean 1 2 educ1n 1 2 agen 1 2 1.female 1.kinh 1.weather year 2016 2018 _cons	.0265651	.0134649	1.97	0.049	.0001744	.0529558
	.0339933	.0125024	2.72	0.007	.0094889	.0584976
	-.0035518	.018023	-0.20	0.844	-.0388762	.0317726
	.0497851	.013408	3.71	0.000	.0235059	.0760643
	.0196695	.0159932	1.23	0.219	-.0116766	.0510157
	.0535946	.0136499	3.93	0.000	.0268413	.0803479
	.0220382	.0166795	1.32	0.186	-.0106531	.0547294
	-.0445835	.0139694	-3.19	0.001	-.0719629	-.017204
	.0206267	.0169985	1.21	0.225	-.0126898	.0539432
	.0542934	.0103123	5.26	0.000	.0340817	.0745051
	-.1228347	.0105088	-11.69	0.000	-.1434317	-.1022378
	-.199012	.0119686	-16.63	0.000	-.2224699	-.1755541
	-.138184	.019787	-6.98	0.000	-.1769658	-.0994023

Phụ lục 4.2g: Kết quả mô hình phi tham số đánh giá tác động của quyền sử dụng đất đến hiệu quả phân bổ

. npregress kernel AE i.redbook i.arean i.educ1n i.agen i.female i.kinh i.weather i.year, vce(bootstrap, reps(5

> ) seed(12))

(running npregress on estimation sample)

Bootstrap replications (5)

1 2 3 4 5

.....

Bandwidth

Mean	Effect
redbook	.51875	.51875
arean	.51875	.51875
educ1n	.51875	.51875
agen	.51875	.51875
female	.51875	.51875
kinh	.51875	.51875
weather	.51875	.51875
year	.4	.4

Local-constant regression

Number of obs	=	2,869
Kernel : liracine	R-squared	=	0.1506

Bandwidth: cross validation

Observed Estimate

Bootstrap Std. Err.

P>|z|

Percentile

[95% Conf. Interval]

Mean

.4697106

.00126

372.78

0.000

.4671583

.470215

Effect

redbook (1 vs 0)

arean (1 vs 0)

(2 vs 0)

educ1n (1 vs 0)

(2 vs 0)

agen (1 vs 0)

(2 vs 0)

female (1 vs 0)

kinh (1 vs 0)

weather (1 vs 0)

year (2016 vs 2012)

(2018 vs 2012)

.0035515

.0007983

4.45

0.000

.0030421

.005189

.0023791

.0007952

2.99

0.003

.0014503

.0032132

-.0021541

.0008767

-2.46

0.014

-.0032632

-.000988

.0047941

.0010132

4.73

0.000

.0039046

.0065476

.0033183

.0008381

3.96

0.000

.0029119

.0051413

.0029983

.0008101

3.70

0.000

.0026934

.0046449

.0002265

.0002357

0.96

0.337

-.0001069

.0003916

-.002467

.0007608

-3.24

0.001

-.0039267

-.0020199

.0053872

.0012774

4.22

0.000

.0029172

.0063849

.0045849

.0010468

4.38

0.000

.0027214

.0053467

-.0108713

.0007098

-15.32

0.000

-.01145

-.0095718

-.0166688

.0006003

-27.77

0.000

-.017081

-.0156796

Phụ lục 4.3a: Kết quả hồi quy dữ liệu mảng với hiệu ứng cố định đánh giá tác động của quyền sử dụng đất đến hiệu quả sản lượng

. xtreg ln_output i.redbook##c.pci i.arean ln_labor ln_spf ln_machine i.educ1n i.agen i.female i.kinh ln_per i.

> year, fe robust

Fixed-effects (within) regression

Number of obs =	1,387
Group variable: id	Number of groups =	936
R-sq: within = 0.7626	Obs per group: min =	1
between = 0.8633	avg =	1.5
overall = 0.8565	max =	3
	F(17,935) =	75.71
corr(u_i, Xb) = 0.0941	Prob > F =	0.0000

(Std. Err. adjusted for 936 clusters in id)

ln_output

Coef.	Robust Std. Err.		t P>\|t\|		[95% Conf.	Interval]
1.redbook pci redbook#c.pci 1 arean 1 2 ln_labor ln_spf ln_machine educ1n 1 2 agen 1 2 1.female 1.kinh ln_per year 2016 2018 _cons	.6984418	.29801		2.34 0.019		.1135959	1.283288
	.0039103	.0072165		0.54 0.588		-.0102521	.0180727
	-.0109757	.0049794		-2.20 0.028		-.0207477	-.0012036
	.1492979	.0503823		2.96 0.003		.0504224	.2481734
	.3160379	.0721496		4.38 0.000		.1744441	.4576317
	.2163922	.0319296		6.78 0.000		.1537302	.2790543
	.1325868	.0334351		3.97 0.000		.0669702	.1982034
	.0077741	.0037883		2.05 0.040		.0003397	.0152086
	-.0071148	.0391847		-0.18 0.856		-.084015	.0697854
	-.0170282	.0458892		-0.37 0.711		-.1070859	.0730295
	-.0582206	.0376258		-1.55 0.122		-.1320613	.0156202
	-.0551452	.05323		-1.04 0.300		-.1596092	.0493189
	-.1038898	.0717125		-1.45 0.148		-.2446258	.0368463
	.0752957	.0420456		1.79 0.074		-.007219	.1578105
	.642696	.0479743		13.40 0.000		.5485462	.7368458
	.0460736	.0357703		1.29 0.198		-.0241258	.116273
	.1181003	.0618982		1.91 0.057		-.0033752	.2395758
	.6897175	.5742238		1.20 0.230		-.4371993	1.816634
sigma_u	.29535196
sigma_e	.20164817
rho	.68206686	(fraction	of	variance due	to	u_i)

Phụ lục 4.3b: Kiểm định lựa chọn mô hình đánh giá tác động của quyền sử dụng đất đến hiệu quả năng suất

. hausman fe re

b = consistent under Ho and Ha; obtained from xtreg B = inconsistent under Ha, efficient under Ho; obtained from xtreg

Test: Ho: difference in coefficients not systematic

chi2(17) = (b-B)'[(V_b-V_B)^(-1)](b-B)

= 102.74

Prob>chi2 = 0.0000

Phụ lục 4.3c: Kết quả hồi quy dữ liệu mảng với hiệu ứng cố định đánh giá tác động của quyền sử dụng đất đến hiệu quả năng suất nhân tố tổng hợp

. xtreg lnTFP i.redbook##c.pci i.arean i.educ1n i.agen i.female i.kinh i.weather ln_income_per i.year, fe robu

> st

Fixed-effects (within) regression

Number of obs =	2,936
Group variable: id	Number of groups =	1,689
R-sq: within = 0.5697	Obs per group: min =	1
between = 0.2365	avg =	1.7
overall = 0.3585	max =	3
	F(15,1688) =	125.41
corr(u_i, Xb) = -0.0456	Prob > F =	0.0000

(Std. Err. adjusted for 1,689 clusters in id)

lnTFP

Coef.	Robust Std. Err.		t P>\|t\|		[95% Conf.	Interval]
1.redbook pci redbook#c.pci 1 arean 1 2 educ1n 1 2 agen 1 2 1.female 1.kinh 1.weather ln_income_per year 2016 2018 _cons	.2810734	.1252176		2.24 0.025		.0354753	.5266714
	.0206749	.0210465		0.98 0.326		-.0206051	.0619548
	-.0424788	.0216206		-1.96 0.050		-.0848847	-.0000728
	.0762057	.0436479		1.75 0.081		-.009404	.1618154
	.1071777	.0707352		1.52 0.130		-.0315602	.2459155
	-.0095242	.0393388		-0.24 0.809		-.0866821	.0676338
	.0607356	.0356241		1.70 0.088		-.0091365	.1306076
	-.0574349	.0357511		-1.61 0.108		-.1275561	.0126863
	-.0843124	.0488663		-1.73 0.085		-.1801573	.0115325
	.030448	.0695684		0.44 0.662		-.1060014	.1668974
	-.0641306	.0944574		-0.68 0.497		-.2493965	.1211354
	.0435859	.019163		2.27 0.023		.0060002	.0811715
	.0484778	.0172686		2.81 0.005		.0146077	.0823479
	.6054703	.020741		29.19 0.000		.5647895	.646151
	.0796436	.024236		3.29 0.001		.0321079	.1271794
	3.501085	.2161244		16.20 0.000		3.077185	3.924985
sigma_u	.33539358
sigma_e	.31103969
rho	.53762086	(fraction	of	variance due	to	u_i)

Phụ lục 4.3d: Kết quả hồi quy phân vị đánh giá tác động của quyền sử dụng đất đến hiệu quả năng suất nhân tố tổng hợp

. xtqreg lnTFP i.redbook##c.pci i.arean i.educ1n i.agen i.female i.kinh i.weather ln_income_per i.year, q(.1 (.

> 1) .9)

.4 Quantile regression

Coef.	Std. Err.	z	P>\|z\|	[95% Conf.	Interval]
1.redbook pci redbook#c.pci 1 arean 1 2 educ1n 1 2 agen 1 2 1.female 1.kinh 1.weather ln_income_per year 2016 2018	.2475263	.1494065	1.66	0.098	-.0453049	.5403576
	.0188814	.0251031	0.75	0.452	-.0303198	.0680825
	-.0394774	.0259274	-1.52	0.128	-.0902942	.0113394
	.0811993	.0503914	1.61	0.107	-.0175661	.1799647
	.1355303	.0814122	1.66	0.096	-.0240347	.2950953
	-.0178452	.0472646	-0.38	0.706	-.1104821	.0747918
	.057816	.0427756	1.35	0.176	-.0260226	.1416545
	-.0689517	.042744	-1.61	0.107	-.1527284	.014825
	-.0962249	.0578735	-1.66	0.096	-.2096548	.017205
	.0307948	.0816118	0.38	0.706	-.1291613	.190751
	-.0410074	.099105	-0.41	0.679	-.2352495	.1532348
	.0386218	.0227008	1.70	0.089	-.005871	.0831145
	.0474625	.0213095	2.23	0.026	.0056967	.0892283
	.6124189	.025069	24.43	0.000	.5632846	.6615532
	.0858385	.0282871	3.03	0.002	.0303969	.1412802