Table 1

Hierarchical linear model (HLM) for exports for LAC (2010, 2012, 2014, 2016, 2018)

YearModelR2F(df)PR2 changeF(df) changeP
201010.90134.229(4,15)0.000   
20.90626.870(5,14)0.0000.0040.648(1,14)0.433
30.91924.665(6,13)0.0000.0142.193(1,13)0.161
40.93825.966(7,12)0.0000.0193.646(1,12)0.079*
50.93921.124(8,11)0.0000.0010.147(1,11)0.708
60.94017.418(9,10)0.0000.0010.192(1,10)0.670
GDP (3.418)***, TRFR (32.42)***, infra (−7.212)**, QLS (3.051)*, N = 20
201210.90636.319(4,15)0.000   
20.90827.518(5,14)0.0000.0010.187(1,14)0.672
30.91222.524(6,13)0.0000.0050.682(1,13)0.423
40.91418.212(7,12)0.0000.0020.240(1,12)0.632
50.91414.645(8,11)0.0000.0000.026(1,11)0.875
60.91612.102(9,10)0.0000.0020.206(1,10)0.659
GDP (3.404)***, TRFR (30.79)***, FDI (−1.886)*, N = 20
201410.75711.674(4,15)0.000   
20.7729.494(5,14)0.0000.0150.945(1,14)0.346
30.7737.382(6,13)0.0010.0010.048(1,13)0.829
40.7866.297(7,12)0.0030.0130.725(1,12)0.410
50.8578.210(8,11)0.0010.0715.409(1,11)0.038**
60.90811.0280.0000.0525.672(1,10)0.036**
TRFR (27.79)***, QLS (−6.960)**, LPTT (6.872)**, LPTL (−3.653)**, N = 20
201610.6276.298(4,15)0.004   
20.7287.476(5,14)0.0010.1015.176(1,14)0.038**
30.7356.006(6,13)0.0030.0070.360(1,13)0.558
40.7755.893(7,12)0.0040.0402.118(1,12)0.169
50.7814.899(8,11)0.0090.0060.311(1,11)0.588
60.7834.0140.0210.0020.109(1,10)0.748
IND (11.669)**, LPCUST (−2.206)**, N = 20
201810.7189.564(4,15)0.000   
20.78810.436(5,14)0.0000.0704.640(1,14)0.048**
30.8209.895(6,13)0.0000.0322.310(1,13)0.151
40.8358.705(7,12)0.0010.0151.102(1,12)0.313
50.8377.056(8,11)0.0020.0010.098(1,10)0.760
60.8456.060(9,10)0.0050.0080.526(1,10)0.484

Note(s): TRFR (14.91)**, IND (10.41)**, LPCUST (−2.56)**, N = 20, ***p < 0.01, **p < 0.05, *p < 0.1. Model 1 uses the general OLPI index (overall); model 2 uses the LPI customs index; model 3 uses the LPI infrastructure; model 4 uses the LPI quality of logistics services index; model 5 uses the LPI tracking and tracing index; model 6 uses the LPI timeliness. Coefficients are based on log-transformed variables and therefore reflect scaled associations rather than standardized beta coefficients. QLS = Quality of logistics services and IND = Industry or industrial sector indicator

Source(s): Author’s elaboration

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