A Systems View Across Time and Space
Table 6 Random forests variable importance
From: Assessing the robustness of composite indicators: the case of the Global Innovation Index
Variables | Efficient | Inefficient | Highly inefficient | MDA* | MDG** |
|---|---|---|---|---|---|
Political environment | 8.497015 | 1.777996 | 8.967475 | 12.17111 | 4.61021 |
Regulatory environment | 5.792929 | 4.276533 | 7.899029 | 9.89423 | 3.66083 |
Business environment | 3.302171 | 1.435669 | 9.61357 | 9.697885 | 1.868765 |
Education | 9.314394 | 10.4139 | 16.94575 | 19.68011 | 10.52525 |
Tertiary education | 4.35787 | 4.614659 | 7.249219 | 8.483599 | 3.527415 |
Research & development | 10.14069 | 9.15372 | 8.839339 | 13.27621 | 6.998675 |
(ICTs) | 11.52129 | 4.257144 | 10.43641 | 15.4041 | 7.399558 |
General infrastructure | 4.77182 | 2.200702 | 6.758043 | 8.224492 | 3.057214 |
Ecological sustainability | 6.03089 | 6.773267 | 3.823822 | 10.08638 | 2.382411 |
Credit | 5.143057 | 4.803702 | 4.742395 | 7.589029 | 2.14092 |
Investment | 1.134616 | 0.378198 | 2.801854 | 2.201341 | 0.812804 |
Trade, competition, & market scale | -0.7832 | 0.125584 | 2.598789 | 1.412711 | 0.563952 |
Knowledge workers | 6.424123 | 6.387756 | 8.779528 | 11.50626 | 5.25608 |
Innovation linkages | 4.754297 | 0.894083 | 2.415186 | 5.456192 | 1.245409 |
Knowledge absorption | 5.399193 | 1.692625 | 5.061141 | 7.34702 | 1.717166 |
Knowledge creation | 6.388614 | 7.182269 | 5.601698 | 11.11525 | 3.099586 |
Knowledge impact | 10.37929 | 2.141033 | 8.168362 | 11.59132 | 3.852483 |
Knowledge diffusion | 1.874541 | − 1.05249 | 1.89918 | 1.735037 | 0.608923 |
Intangible assets | 6.364096 | − 0.08515 | 6.124902 | 8.001001 | 2.472512 |
Creative goods & services | 11.17375 | 3.464594 | 7.186516 | 12.19684 | 6.067561 |
Online creativity | 9.78703 | 6.928621 | 8.007719 | 13.78468 | 6.214577 |