Acceso abierto

Farm-heterogeneity and persistent and transient productive efficiencies in Ethiopia’s smallholder cereal farming

 y   
16 oct 2020

Cite
Descargar portada

Figure 1

Distribution of persistent TE across different models, FE (left), KH (center), and KLH right).
Distribution of persistent TE across different models, FE (left), KH (center), and KLH right).

Figure 2

Distribution of transient TE across different models, TFE (overall, left), KH (overall, center left), KLH (center right), and KH and KLH (transient, right).
Distribution of transient TE across different models, TFE (overall, left), KH (overall, center left), KLH (center right), and KH and KLH (transient, right).

Figure 3

The median, first, and third quartiles (middle, bottom, and top lines) of persistent and OTE in the TFE, KH, and KLH models.
The median, first, and third quartiles (middle, bottom, and top lines) of persistent and OTE in the TFE, KH, and KLH models.

Mean efficiency measures by AEZs

ComponentsPersistentTransient
AEZs\ModelFE and KHKLHTFEKHKLH
Lowland0.2200.7630.8970.1510.525
Midland0.3110.7940.7940.2150.548
Highland0.3870.8130.9600.2670.560

Frequency distribution of persistent and transient TEs

TE-Interval (%)Persistent TETransient TE
FE and KH modelsKLH modelTFE modelKH modelKLH model
0−102.910013.410
11−2025.340042.720.36
21−3029.150025.550.91
31−4019.280012.504.13
41−5010.7600.123.5819.54
51−606.500.220.001.4050.24
61−703.365.380.180.6723.97
71−801.1247.097.400.120.85
81−901.3547.312.610.060
91−1000.22089.6800
Mean0.3040.7910.9440.2100.545
Std. Dev.0.1550.0530.0650.1110.082
Minimum0.0540.5670.4270.0200.105
Maximum1.0000.8891.0000.8400.783
Yearly mean of the transient efficiency
19990.9640.2130.550
20040.9580.1950.523
20090.9410.2150.559
20150.9180.2100.541

Estimates of the Parameters, Elasticities, TC, and RTS across Models (NT=1,648)

VariablesTFE modelFE, KH, and KLH models
EstimateSEElasticityEstimateSEElasticity
Constant4.144***0.4574.678***0.396
Fertilizer0.0890.0670.0120.0640.0800.004
Agrochemicals0.096**0.0500.0660.108*0.0590.071
Labor0.344***0.095−0.1150.351***0.114−0.116
Machinery−0.295***0.064−0.324−0.290***0.076−0.304
Livestock0.225**0.1060.2750.1970.1260.247
Oxen0.3860.2440.4710.3800.2920.495
Area0.0130.1130.2760.0670.1320.322
Fertilizer*Fertilizer−0.0030.015−0.0020.018
Agrochemicals*Agrochemicals−0.0010.012−0.0050.014
Labor*Labor−0.0310.019−0.0350.023
Machinery*Machinery0.062***0.0130.059***0.016
Livestock*Livestock0.125***0.0240.122***0.028
Oxen*Oxen−0.2170.185−0.2180.222
Area*Area−0.124***0.022−0.118***0.026
Fertilizer*Agrochemicals−0.0080.011−0.0040.013
Fertilizer*Labor0.0130.0210.0190.025
Fertilizer*Machinery−0.0030.012−0.0020.014
Fertilizer*Livestock−0.099***0.025−0.093***0.029
Fertilizer*Oxen0.112**0.0560.1030.066
Fertilizer*Area0.126***0.0300.111***0.035
Agrochemicals*Labor−0.0070.016−0.0120.020
Agrochemicals*Machinery0.0010.0110.0010.013
Agrochemicals*Livestock0.070***0.0240.067***0.028
Agrochemicals*Oxen−0.107**0.044−0.104**0.053
Agrochemicals*Area−0.0020.023−0.0070.028
Labor*Machinery0.071***0.0160.069***0.019
Labor*Livestock0.0450.0380.0510.046
Labor*Oxen−0.0980.080−0.1040.096
Labor*Area−0.0360.036−0.0430.043
Machinery*Livestock0.0060.0210.0020.025
Machinery*Oxen0.0180.4500.0210.054
Machinery*Area−0.042*0.230−0.0420.027
Livestock*Oxen−0.208**0.107−0.1950.128
Livestock*Area−0.195***0.058−0.193**0.070
Oxen*Area0.326***0.1200.332**0.143
Time (1=1999,...,4=2015)0.666***0.1390.686***0.162
Time*Time0.392***0.0480.356***0.052
Time*Fertilizer−0.026**0.012−0.024*0.014
Time*Agrochemicals−0.0110.009−0.0100.011
Time*Labor−0.119***0.018−0.114***0.022
Time*Machinery−0.036**0.015−0.029*0.017
Time*Livestock−0.052**0.022−0.050**0.026
Time*Oxen0.078*0.0430.090*0.052
Time*Area0.118***0.0260.114***0.031
RTS0.6600.710
Rate of TC0.9010.880

Kendall’s rank order correlation between different models

ComponentsPersistentTransient
ModelFEKHKLHTFEKHKLH
PTE_FE0.998
PTE _KH0.9980.998
PTE _KLH0.9980.9980.998
TTE_TFE−0.024−0.024−0.0241.000
TTE_KH0.8450.8450.845−0.0131.000
TTE_KLH0.3220.3220.3220.0430.4771.000

Summary statistics of the data (NT=1,648 observations)

Variable1999200420092015All-waves
MeanSDMeanSDMeanSDMeanSDMeanSDCV
Cereal output1,2601,3201,2531,3002,0652,3903,0204,0001,9522,6821.37
Fertilizers107.8115.188.0140.981.0104.3179.0166.2116.1139.01.19
Agrochemicals26.971.523.777.0114.7461.5336.7675.5133.9447.03.34
Labor316.3423.9266.2290.7170.8241.4593.91,222.2342.6714.02.08
Machinery0.64.641.3301.4836.83,216.4376.4915.5336.31,776.05.28
Livestock5.74.34.54.07.26.37.97.46.55.90.91
Land area1.51.14.922.62.814.21.81.42.612.44.77
Oxen1.81.21.41.31.91.51.91.41.81.40.78