Page 14 - AEI Insights 2018 Vol 4 Issue 1
P. 14

Furuoka et al, 2018



               (Equation 9) and non-rejection of the first hypothesis (Equation 8) would provide the empirical
               evidence for this hypothesis.

               Next,  the third hypothesis  is  related to the feedback effect  between exports and economic
               development (FEED), whereby there is a mutually reinforcing relationship between exports
               and economic development. The FEED hypothesis would be substantiated if the empirical
               findings showed a bidirectional causality between exports and economic development. The
               rejection of both the first hypothesis  (Equation 8) and the second hypothesis (Equation 9)
               would provide empirical evidence to support this hypothesis.

               Finally, the fourth hypothesis is on the neutrality between exports and economic development
               (NEED). According to this hypothesis, there is  a neutral relationship between exports and
               economic development. The NEED would be substantiated if there were no causal relationship
               between  exports  and  economic  development.  The  non-rejection  of  the  first  hypothesis
               (Equation 8) and the second hypothesis (Equation 9) would provide empirical evidence for this
               hypothesis.


               Findings and Discussion

               The current study employed three different econometric methods, namely the Phillips-Perron
               (PP) test, the Johansen test together with the error correction model (ECM), and the Granger
               causality test to examine the impact of Singapore’s exports to China and the EU on its economic
               development. In the first stage of empirical analysis, the PP test was used to examine the unit
               root process of the time-series data on exports and income. The empirical findings from the PP
               test are reported in Table 1.

               Table 1: Results of PP unit root test

                 Variables                    Intercept                      Intercept and trend
                 GDP                          -2.456[10]                     -1.475[10]
                 ΔGDP                         -13.895[9]***                  -14.412[9]***
                 EXPC                         0.347[1]                       -5.066[7]***
                 ΔEXPC                        -17.020[1]***                  -16.798[0]***
                 EXPEU                        -2.444[8]                      -1.320[8]
                 ΔEXPEU                       -14.143[8]***                  -14.592[8]***
               Notes: *** indicates the significant level at the 1 percent
               Numbers  in  bracket  indicate  the  optimal  bandwidth  which  is  determined  by  Newey-West
               method


               As the results clearly indicate, the PP test failed to reject the null hypothesis of unit root for
               economic  development  (GDP)  at  level.  On  the  other  hand,  the  PP  test  rejected  the  null
               hypothesis for the same variable at first difference. The PP test also failed to reject the null
               hypothesis of unit root for the exports to China (EXPC) but rejected the null hypothesis for the
               same variable at first difference. Similarly, the PP test failed to reject the null hypothesis of
               unit root for the exports to EU (EXPEU) but rejected the null hypothesis for the same variable
               at  first  difference.  Despite  some  minor  differences,  empirical  findings  from  the  PP  test
               indicated that exports to China, exports to the EU and economic development at level could be
               considered  as  the  unit  root  process.  Furthermore,  findings  also  indicated  that  these  three


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