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. 2016 Sep 6;18(9):269. doi: 10.1007/s11051-016-3572-1

Table 5.

Detailed results of the regression analysis.

Source Web mining analysis of 65 graphene small and medium-sized enterprises (SMEs) in study data set. Results of a binary logistics regression where columns are dependent variables and rows are independent variables (predictors). Significance levels of 90 % or over are denoted with a star (*). “−2 Log likelihood”, “Cox & Snell R Square,” and “Nagelkerke R Square” are model level statistics used to compare different models

Factors Active (in any value chain position) Active in material production Active in equipment manufacturing Active in intermediate or final products
Coefficient Significance Coefficient Significance Coefficient Significance Coefficient Significance
Graphene publications −0.11635 0.287366 0.054547 0.639095 −4.35172 0.998379 0.057108 0.566747
Graphene patents 0.013479 0.798586 0.024677 0.627027 0.022442 0.864103 −0.05012 0.679687
Age −0.03469 0.347588 −0.04678 0.196897 −0.01319 0.795339 0.0941* 0.064259
Finance 1.81117* 0.043849 −0.28894 0.697025 3.984863* 0.038744 1.231949 0.413448
Business links −1.37018 0.227652 −0.05308 0.953101 −1.75812 0.222243 −1.14297 0.537043
Government links 0.300406 0.734458 0.940486 0.184387 −1.34136 0.197128 −0.04797 0.967054
University links −1.67677 0.241207 −1.17146 0.246573 −2.55621 0.131521 17.75487 0.998479
Total mention of graphene properties −1.01875 0.458156 0.737063 0.509839 −3.90754 0.344891 0.013377 0.993229
Total mention of graphene production methods 2.189844 0.44879 1.655503 0.349662 −0.9856 0.653659 −0.88566 0.678531
Mentioned any other 2D material −1.88155* 0.099055 −0.18174 0.842117 −2.95464* 0.092068 −23.4164 0.997405
Location: North America 0.950636 0.376449 0.010642 0.98849 −0.59907 0.505091 −6.29549 0.998382
Location: UK 2.044407* 0.091096 0.623899 0.46505 1.438128 0.267727 −6.42595 0.998348
Location: Western Europe 0.409422 0.660353 −0.99637 0.205313 0.081107 0.952555 −6.38837 0.998358
Location: East Asia and emerging 1.421985 0.171341 1.813318* 0.039297 −0.30678 0.80863 −7.4843 0.998076
Number of observations 65 65 65 65
−2 Log likelihood 52.03 72.58 37.696 39.628
Cox & Snell R2 0.44336 0.236372 0.553521 0.540048
Nagelkerke R2 0.591147 0.315163 0.738027 0.720064