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. 2023 Aug 30;9(9):e19521. doi: 10.1016/j.heliyon.2023.e19521

Table 12.

Effects of old-age populations and GDP per capita in affecting the allocation of compositional government spending (as percentage of GDP) using dynamic system GMM (with old-age dependency ratio as a proxy for old-age populations).

Variable (Public Admin) (Defense) (Order) (Economic) (Environ ment) (Housing) (Culture) (Health) (Education) (Social Protection)
L4.GDP per capita −2.131*** −2.724*** −2.569*** −2.536*** −2.898*** −2.694*** −2.318*** −2.600*** −2.233*** −2.480
(0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000)
Trade to GDP 0.0273 0.217 0.324 0.299 0.575+ 0.386 0.283 0.215 0.496 0.131
(0.942) (0.553) (0.390) (0.468) (0.073) (0.319) (0.491) (0.556) (0.181) (0.740)
Control of corruption 1.670*** 2.080*** 2.070*** 1.957*** 2.487*** 2.036*** 2.382*** 2.038*** 1.942*** 1.842***
(0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000)
Financial Openness 0.316 0.183 −0.136 −0.344 −0.395 −0.310 −0.139 −0.160 −0.0645 −0.326
(0.525) (0.708) (0.764) (0.477) (0.410) (0.534) (0.789) (0.743) (0.875) (0.497)
Democracy_dummy −1.279* −1.105* −0.802+ −1.025* −0.828* −0.858+ −1.414** −1.027* −1.039* −0.903*
(0.012) (0.020) (0.084) (0.019) (0.028) (0.067) (0.007) (0.037) (0.021) (0.047)
L4. Expenditure to GDP 0.0278 0.0785 −0.226** −0.0233 −0.230** −0.145 −0.138* 0.0345 −0.179* −0.0190
(0.310) (0.281) (0.007) (0.539) (0.006) (0.115) (0.018) (0.685) (0.012) (0.579)
L4. Old_depend, ln 0.781 −0.316 −0.517 −0.325 −1.103 −0.496 −0.0655 −0.0262 0.00619 −0.0711
(0.205) (0.612) (0.296) (0.589) (0.102) (0.418) (0.910) (0.966) (0.991) (0.909)
L4.exp_pub_ gdp −0.328** −0.114 −0.316** −0.247* −0.191 −0.0810 −0.310* −0.0747 −0.255*
(0.006) (0.309) (0.008) (0.014) (0.131) (0.306) (0.026) (0.463) (0.011)
L4.exp_def_gdp −0.256 0.326 0.0519 0.205 0.218 0.174 −0.0880 −0.0641 0.0200
(0.401) (0.321) (0.857) (0.431) (0.552) (0.319) (0.794) (0.829) (0.941)
L4.exp_order_gdp 0.164 0.0483 −0.00798 1.266* 0.187 0.193 0.0965 −0.234 −0.0266
(0.725) (0.918) (0.986) (0.018) (0.686) (0.710) (0.841) (0.576) (0.954)
L.exp_econ_gdp 0.0382 −0.0264 0.343+ 0.275 0.197 0.504** 0.0984 0.177 0.133
(0.791) (0.883) (0.059) (0.153) (0.276) (0.007) (0.599) (0.292) (0.383)
L.exp_envi_gdp 3.188* 2.305+ 2.003 2.070 2.455+ 0.639 2.563* 1.459 2.307+
(0.011) (0.074) (0.119) (0.115) (0.068) (0.666) (0.037) (0.293) (0.096)
L4.exp_housing_gdp −0.229 −0.120 0.189 −0.200 0.445 −0.496 −0.342 −0.228 −0.168
(0.601) (0.792) (0.673) (0.647) (0.386) (0.351) (0.440) (0.624) (0.701)
L4.exp_health_gdp −0.180 −0.512 0.272 0.0777 0.115 0.0117 0.903 −0.197 0.429
(0.731) (0.380) (0.607) (0.891) (0.828) (0.982) (0.187) (0.717) (0.301)
L4.exp_cult_gdp 1.676*** 2.537*** 2.541*** 2.566*** 2.691*** 2.878*** 2.366*** 2.038*** 2.318***
(0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000)
L4.exp_edu_gdp −1.009** −1.553*** −1.124** −1.195** −1.522*** −1.377*** −0.973** −1.277** −1.230**
(0.004) (0.000) (0.002) (0.002) (0.000) (0.001) (0.004) (0.002) (0.001)
L4.exp_socpro_gdp 0.116 0.132 0.306+ 0.159 0.444** 0.317+ 0.230 0.0387 0.305+
(0.402) (0.434) (0.086) (0.410) (0.006) (0.096) (0.261) (0.818) (0.067)
L4. Old_depend, ln X L4.exp_def_gdp X L4.GDP per capita 0.0157 0.00429 0.00660 0.0109 0.00420 0.00705 0.0105 0.0193+ 0.00804
(0.206) (0.734) (0.580) (0.333) (0.770) (0.418) (0.422) (0.089) (0.489)
L4. Old_depend, ln X L4.exp_order_gdp X L4.GDP per capita −0.0235 −0.0119 −0.0154 −0.0494+ −0.0168 −0.0204 −0.0204 −0.00191 −0.0131
(0.346) (0.637) (0.545) (0.091) (0.501) (0.451) (0.451) (0.936) (0.605)
Variable (Public Admin) (Defense) (Order) (Economic) (Environ ment) (Housing) (Culture) (Health) (Education) (Social Protection)
L4. Old_depend, ln X L.exp_econ_gdp X L4.GDP per capita −0.00130 −0.00110 −0.00351 0.00155 −0.00112 −0.0139* −0.00418 −0.000393 −0.00354
(0.794) (0.834) (0.471) (0.795) (0.821) (0.016) (0.446) (0.938) (0.497)
L4. Old_depend, ln X L.exp_envi_gdp X L4.GDP per capita −0.0991* −0.0766+ −0.0516 −0.0562 −0.0693 0.000690 −0.0685+ −0.0304 −0.0622
(0.019) (0.097) (0.235) (0.209) (0.130) (0.989) (0.093) (0.514) (0.187)
L4. Old_depend, ln X L4.exp_housing_gdp X L4.GDP per capita 0.00374 −0.00489 −0.00121 0.00723 −0.000111 0.0203 0.0101 0.0138 0.00576
(0.851) (0.811) (0.951) (0.722) (0.996) (0.364) (0.595) (0.537) (0.775)
L4. Old_depend, ln X L4.exp_health_gdp X L4.GDP per capita 0.00907 0.0173 0.00146 0.00371 0.00838 0.00839 −0.0209 0.0157 −0.00844
(0.641) (0.409) (0.942) (0.860) (0.659) (0.674) (0.414) (0.449) (0.557)
L4. Old_depend, ln X L4.exp_cult_gdp X L4.GDP per capita −0.0665*** −0.112*** −0.0900*** −0.0964*** −0.105*** −0.106*** −0.0945*** −0.0579* −0.0886***
(0.001) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.012) (0.000)
L4. Old_depend, ln X L4.exp_edu_gdp X L4.GDP per capita 0.0389** 0.0648*** 0.0524*** 0.0497** 0.0705*** 0.0619*** 0.0410** 0.0504** 0.0506**
(0.009) (0.000) (0.000) (0.001) (0.000) (0.000) (0.003) (0.001) (0.001)
L4. Old_depend, ln X L4.exp_socpro_gdp X L4.GDP per capita −0.00436 −0.00740 −0.00272 −0.00509 −0.00738 −0.00577 −0.00225 −0.00179 −0.00201
(0.398) (0.210) (0.611) (0.412) (0.194) (0.331) (0.749) (0.659) (0.731)
L4. Old_depend, ln X L4.exp_pub_ gdp X L4.GDP per capita 0.0131** 0.0159** 0.0163** 0.0230*** 0.0160** 0.0114* 0.0141** 0.0120* 0.0137*
(0.008) (0.002) (0.002) (0.000) (0.002) (0.037) (0.003) (0.013) (0.006)
N. Obs. 785 803 785 785 963 791 790 785 785 785
AR (1) p-value 0.896 0.306 0.250 0.245 0.285 0.190 0.661 0.339 0.381 0.347
AR (2) p-value 0.111 0.172 0.481 0.189 0.488 0.270 0.962 0.168 0.243 0.205
Hansen p-value 0.0000977 0.0000989 0.0000474 0.000135 0.0000987 0.0000942 0.000341 0.000327 0.0000778 0.000199

Note: This table estimates the Effects of Old-Age Populations and Reallocation of Government Spending across various functions on economic growth (4 years) using two-step System GMM. For two-step System GMM, we put lagged Dependent Variable as Endogeneous with collapse option. The p-value of Auto-Correlation 1st and 2nd order, including Hansen's post-Estimation Tests are presented at the bottom Panel. The p-values are presented in parentheses and + p < 0.10, *p < 0.05, **p < 0.01, ***p < 0.001.

Source: Author's calculation.