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Table 5 Two-step system GMM model, the interaction of trade openness and institutional quality on food security

From: New evidence in the relationship between trade openness and food security in Sub-Saharan Africa

 

(1)

(2)

(3)

(4)

(5)

(6)

(7)

(8)

VARIABLES

 

ADESA

    

APS

 

ADESA (− 1),

0.634***

0.948***

0.879***

0.835***

    
 

(0.027)

(0.007)

(0.012)

(0.015)

    

APS (− 1)

    

0.632**

0.839***

0.421***

0.625***

     

(0.298)

(0.289)

(0.123)

(0.118)

Openness*governance

0.284**

   

0.253**

   
 

(0.124)

   

(0.123)

   

Openness*political

 

− 0.126***

   

− 0.193***

  
  

(0.049)

   

(0.057)

  

Openness*corruption

  

0.023***

(0.003)

   

0.117*

(0.061)

 

Openness*Landlocked

   

0.280***

   

0.047***

    

(0.028)

   

(0.014)

Corruption

   

− 1.052***

   

− 0.102*

    

(0.222)

   

(0.061)

Remittances

0.293

0.140

0.336**

0.273*

0.600***

0.514***

0.036

− 0.077

 

(0.312)

(0.088)

(0.136)

(0.161)

(0.189)

(0.159)

(0.038)

(0.055)

Education

0.002

0.001

0.003*

0.003*

0.007***

0.007***

-0.000

0.002***

 

(0.002)

(0.001)

(0.002)

(0.002)

(0.001)

(0.001)

(0.000)

(0.001)

Log (GDP)

0.562***

0.518***

0.899***

1.450***

0.098

− 0.022

0.092**

− 0.429***

 

(0.112)

(0.062)

(0.225)

(0.181)

(0.129)

(0.138)

(0.042)

(0.068)

SAGDP

0.037***

0.044***

0.035***

0.054***

− 0.025***

− 0.041***

0.004**

− 0.024***

 

(0.007)

(0.004)

(0.005)

(0.006)

(0.005)

(0.006)

(0.002)

(0.003)

Population growth

-0.317

0.095

-0.261

0.398***

1.056***

1.056***

− 0.060

0.210***

 

(0.198)

(0.095)

(0.227)

(0.149)

(0.201)

(0.217)

(0.057)

(0.051)

Natural disasters

− 0.198***

− 0.142***

− 0.072***

(0.222)

− 0.088***

− 0.068***

− 0.051***

0.287***

 

(0.016)

(0.017)

(0.016)

0.355*

(0.016)

(0.016)

(0.008)

(0.080)

Inflation

-0.163***

-0.153***

-0.098***

− 0.087***

− 0.129***

− 0.121***

− 0.173***

− 0.135***

 

(0.015)

(0.011)

(0.015)

(0.020)

(0.019)

(0.018)

(0.013)

(0.014)

Agri. productivity

0.006**

0.003***

0.002

− 0.003

0.011***

0.012***

0.022***

0.018***

 

(0.003)

(0.001)

(0.001)

(0.002)

(0.002)

(0.002)

(0.002)

(0.002)

Landlocked

− 1.043***

0.002

− 0.084***

 

− 0.043***

− 0.038**

− 0.018***

 
 

(0.130)

(0.013)

(0.021)

 

(0.017)

(0.016)

(0.005)

 

Constant

− 680.47***

− 528.72***

− 820.90***

− 467.29***

− 304.69**

− 194.61

-59.58*

332.97***

 

(130.079)

(70.530)

(212.507)

(166.525)

(128.790)

(132.270)

(35.322)

(60.268)

Observations

458

357

404

404

458

458

404

404

Number of countries

37

37

37

37

37

37

37

37

Number of instruments f

21

21

21

21

21

21

21

21

AR1 test

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

AR2 test

0.984

0.946

0.172

0.895

0.568

0.301

0.099

0.193

Hansen test

0.570

0.270

0.719

0.744

0.844

0.893

0.742

0.413

Diff-Hansen g

0.490

0.830

0.641

0.167

0.897

0.859

0.262

0.299

  1. a For each regression, at most three instrumented variables with at most two lags are included. The number of instruments reported is based on the number of "collapsed" instruments, using the xtabond2 specification of Roodman [71]
  2. b Diff-Hansen test reports the p-values based on the null hypothesis that the instruments in the levels equation are exogenous. c Standard errors are reported in parentheses. *** Significant at 1%, ** significant at 5%, * significant at 10%
  3. Source: Authors based on data, 2022