Page 297 - ES 2020-21_Volume-1-2 [28-01-21]
P. 297

280     Economic Survey 2020-21   Volume 1


              Log Population^                                           0.231                    0.125
                                                                      (0.314)                   (0.253)
              Log GDP per capita (PPP)^                                            -0.0982       -0.114
                                                                                  (0.0847)     (0.0968)
              Observations                        936        936          936         936          936
              Adjusted R-squared                 0.948     0.948        0.948        0.948       0.948
              Country FE                          Yes        Yes          Yes         Yes          Yes

             Robust standard errors in parentheses
             *** p<0.01, ** p<0.05, * p<0.1
             ^2019 figures

             8.53  Table 3 reports panel Fixed Effects (FE) regression results for dependant variable Log
             Creative Output rank for five models with different independent variables -  Log input pillars,
             Log GDP, Log GDP per capita and Log population. Among the input pillars, it shows that Log
             Institutions and Log Business Sophistication ranks are significant and positively correlated with
             Log Creative Output rank, controlling for other pillars, income and population. Population,
             when included, was found significant and positively correlated with Log Creative Output rank,
             controlling for other pillars and income. Log GDP and Log GDP per capita, when included
             with population, were found significant and negatively correlated with Log Creative Output
             rank, controlling for other pillars. This suggests that improvements in institutions and business
             sophistication could lead to higher creative output performance. Higher income is also expected
             to lead to better performance in creative outputs, and hence ranks closer to one (thereby reflecting
             a negative correlation).

                                    Table 3: Panel Regression Results: Fixed Effects

                                    Dependant Variable: Log Creative Output rank

                                              (1)          (2)         (3)          (4)         (5)
              VARIABLES                    Model 1      Model 2      Model 3     Model 4      Model 5


              Log Institutions rank           0.160**     0.150**       0.130*      0.140**      0.130*
                                             (0.0695)     (0.0702)    (0.0702)     (0.0702)     (0.0702)
              Log HCR rank                     0.0327      0.0308       0.0412       0.0322      0.0414

                                             (0.0602)     (0.0600)    (0.0590)     (0.0595)     (0.0590)
              Log Infrastructure rank         -0.0598      -0.0669     -0.0730      -0.0717     -0.0729
                                             (0.0802)     (0.0813)    (0.0809)     (0.0810)     (0.0809)
              Log Market Sop rank             0.00327     0.00411       0.0113      0.00618      0.0115
                                             (0.0451)     (0.0449)    (0.0447)     (0.0448)     (0.0447)
              Log Business Sop rank          0.0766**    0.0736**      0.0634*      0.0697*     0.0631*
                                             (0.0365)     (0.0364)    (0.0363)     (0.0363)     (0.0364)

              Log GDP (PPP)^                                -0.103   -0.267***
                                                        (0.0775)     (0.0986)
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