The impact of agricultural land use rights on agricultural production efficiency in Vietnam - Approach by econometric models - 19


.5 Quantile regression



Coef.

Std. Err.

z

P>|z|

[95% Conf.

Interval]

1.redbook

pci


redbook#c.pci

1


area 1

2


educ1n

1

2


agent 1

2


1.female 1.business 1.weather ln_income_per


year 2016

2018

.2805763

.1009442

2.78

0.005

.0827293

.4784232

.0206483

.0169468

1.22

0.223

-.0125669

.0538635


-.0424343


.0175059


-2.42


0.015


-.0767452


-.0081234


.0762797


.0340229


2.24


0.025


.009596


.1429634

.1075978

.0550946

1.95

0.051

-.0003856

.2155812


-.0096475


.0319248


-0.30


0.763


-.0722189


.052924

.0606923

.0288783

2.10

0.036

.0040918

.1172928


-.0576056


.028891


-1.99


0.046


-.1142309


-.0009802

-.0844889

.039097

-2.16

0.031

-.1611176

-.0078603

.0304531

.0550911

0.55

0.580

-.0775235

.1384297

-.0637879

.0669621

-0.95

0.341

-.1950312

.0674554

.0435123

.0153375

2.84

0.005

.0134514

.0735732

.0484628

.0143852

3.37

0.001

.0202682

.0766573


.6055732


.0169469


35.73


0.000


.572358


.6387885

.0797354

.0191112

4.17

0.000

.0422781

.1171927

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The impact of agricultural land use rights on agricultural production efficiency in Vietnam - Approach by econometric models - 19


.6 Quantile regression



Coef.

Std. Err.

z

P>|z|

[95% Conf.

Interval]

1.redbook

pci


redbook#c.pci

1


area 1

2


educ1n

1

2


agent 1

2


1.female 1.business 1.weather ln_income_per


year 2016

2018

.3147144

.1093993

2.88

0.004

.1002958

.5291331

.0224734

.0183786

1.22

0.221

-.013548

.0584949


-.0454886


.0189826


-2.40


0.017


-.0826938


-.0082834


.0711981


.0368936


1.93


0.054


-.001112


.1435082

.0787455

.0596281

1.32

0.187

-.0381234

.1956144


-.0011799


.0346067


-0.03


0.973


-.0690078


.066648

.0636634

.0313172

2.03

0.042

.0022827

.125044


-.0458858


.0313004


-1.47


0.143


-.1072335


.0154619

-.0723665

.0423756

-1.71

0.088

-.1554212

.0106882

.0301002

.0597493

0.50

0.614

-.0870063

.1472067

-.0873187

.0725679

-1.20

0.229

-.2295491

.0549118

.048564

.0166221

2.92

0.003

.0159852

.0811427

.0494959

.0156011

3.17

0.002

.0189183

.0800736


.5985022


.0183578


32.60


0.000


.5625215


.6344829

.0734313

.0207124

3.55

0.000

.0328357

.1140269


.7 Quantile regression



Coef.

Std. Err.

z

P>|z|

[95% Conf.

Interval]

1.redbook

pci


redbook#c.pci

1


area 1

2


educ1n

1

2


agent 1

2


1.female 1.business 1.weather ln_income_per


year 2016

2018

.3226562

.120276

2.68

0.007

.0869195

.5583929

.022898

.020212

1.13

0.257

-.0167168

.0625128


-.0461991


.0208751


-2.21


0.027


-.0871136


-.0052846


.0700159


.0405719


1.73


0.084


-.0095034


.1495353

.0720335

.0655121

1.10

0.272

-.0563679

.2004349


.00079


.0380509


0.02


0.983


-.0737884


.0753684

.0643545

.0344407

1.87

0.062

-.0031479

.131857


-.0431594


.0344071


-1.25


0.210


-.110596


.0242772

-.0695464

.0465904

-1.49

0.136

-.160862

.0217691

.0300181

.0657114

0.46

0.648

-.098774

.1588101

-.0927927

.0797815

-1.16

0.245

-.2491616

.0635761

.0497391

.0182746

2.72

0.006

.0139217

.0855566

.0497363

.0171577

2.90

0.004

.0161079

.0833647


.5968572


.0201785


29.58


0.000


.557308


.6364064

.0719648

.0227718

3.16

0.002

.0273328

.1165968


.8 Quantile regression



Coef.

Std. Err.

z

P>|z|

[95% Conf.

Interval]

1.redbook

pci


redbook#c.pci

1


area 1

2


educ1n

1

2


agent 1

2


1.female 1.business 1.weather ln_income_per


year 2016

2018

.324476

.1230926

2.64

0.008

.0832189

.5657331

.0229953

.0206852

1.11

0.266

-.017547

.0635376


-.0463619


.0213639


-2.17


0.030


-.0882343


-.0044895


.0697451


.0415218


1.68


0.093


-.0116361


.1511262

.0704955

.0670473

1.05

0.293

-.0609148

.2019057


.0012414


.0389419


0.03


0.975


-.0750834


.0775662

.0645129

.035247

1.83

0.067

-.0045699

.1335958


-.0425346


.0352129


-1.21


0.227


-.1115507


.0264814

-.0689002

.0476814

-1.45

0.148

-.1623541

.0245537

.0299993

.0672498

0.45

0.656

-.101808

.1618065

-.0940471

.0816498

-1.15

0.249

-.2540778

.0659836

.0500084

.0187025

2.67

0.007

.0133522

.0866647

.0497914

.0175594

2.84

0.005

.0153757

.0842071


.5964803


.0206512


28.88


0.000


.5560047


.6369558

.0716287

.0233051

3.07

0.002

.0259516

.1173059

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