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had the best model fit. In detail, most of the fitness index meets the acceptable
                  benchmark:  CFI=0.867,  TLI=0.829,  GFI=0.912,  NFI=  0.872  (above  0.8) (Bauldry,

                        2015; Brett, 2010). This is the expected result consistent with literature review.
                        Meanwhile, ROC is a profitability ratio that measures a company’s profit using
                  both its debt and equity capital. Therefore, a latent variable combined of ROC and ROE
                  is more suitable for comprehensively representing a company’s performance.
                        The  positive  impacts  of  economic  distance  on  MNE’s  global  subsidiaries’
                  performance have been confirmed within the model. Additionally, the negative impacts
                  of cultural distance and the positive impact of legal institutional distance on MNE’s
                  global  subsidiaries’  performance  are  endorsed  (p<0.001).  As  such,  hypotheses  H1

                  (Home-host  country  cultural  distance  has  significant  negative  impacts  on  MNE
                  subsidiary  performance  within  manufacturing  industries),  H2  (Home-host  country
                  institutional distance has significant positive impacts on MNE subsidiary performance
                  within manufacturing industries) and H3 (Home-host country economic distance has
                  significant  positive  impacts  on  MNE  subsidiary  performance  within  manufacturing
                  industries) are accepted.

                        In  terms  of  control  variables,  the  empirical  results  also  revealed  that  type  of
                  industry (p=0.000) and firm size (p=0.009) have a positive influence on performance
                  of MNE’s global subsidiaries; however, experience of doing business at a local market
                  (age)  and  performance  of  MNE’s  global  subsidiaries  appears  to  be  not  supported
                  (p=0.9>0.05)
                        4.3. Robustness check
                        To  check  if  the  results  are  robust,  we  examine  an  alternative  model.  Some

                  estimated  paths  have  been  accidentally  added  into  the  current  model  to  create  an
                  alternative  model  for  Robustness  check  in  this  technique.  In  detail,  while  all  the
                  constructs and items associated to each construct are unchangeable, new paths have
                  been formed  between  cultural  distance (CUL) and economic  distance (ECO); legal
                  institutional distance (INS) and economic distance (ECO), cultural distance (CUL) and
                  legal institutional distance (INS).

                        The result shows that the suggested model has a better model fix than the new
                  model  (on  every  goodness-of-fit  index)  and  the  concerned  relationships  are  still
                  acceptable in the new model with the same tendency pointed out by the suggested
                  model. To conclude, the suggested model is the best model to represent the relationships
                  among the research contexts.
                        Table 1. The regression path coefficient of the alternative model
                    Path coefficient      p      Result
                    CUL         →     PER              -2.475                0.000           Supported
                    INS         →     PER              1.249                 0.000           Supported

                    ECO         →     PER              1.842                 0.000           Supported
                    Industry  →       PER              1.609                 0.000           Supported
                    LTE         →     PER              0.376                 0.006           Supported




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