Table 4.

LOGIT regression models

VariableProductivityMarket share
Total sample
(1)
With R&D
(2)
Without R&D
(3)
Total sample
(4)
With R&D
(5)
Without R&D
(6)
(Intercept)−0.3526 (0.3798)1.3333 (0.8862)−0.5582 (0.4518)0.2096 (0.3972)1.1584 (1.0031)0.2031 (0.4657)
Product innovation−0.0262 (0.1748)−0.1072 (0.3201)−0.1270 (0.2422)1.0152*** (0.2034)0.6623** (0.3350)1.0879*** (0.2971)
Service innovation0.0752 (0.2910)−0.1954 (0.5341)0.2134 (0.3575)0.9304** (0.3695)0.0936 (0.5939)1.3957*** (0.4746)
Process innovation – Production method1.3138*** (0.1641)0.9370*** (0.3362)1.4080*** (0.1960)0.9201*** (0.1722)0.0385 (0.3640)1.1888*** (0.2075)
Process innovation – Logistic method0.5757*** (0.1982)1.7988*** (0.4529)0.1278 (0.2358)0.0590 (0.2031)0.6714 (0.4144)−0.1733 (0.2456)
Process innovation – Acquisition machinery0.1610 (0.1878)−0.2592 (0.3540)0.2841 (0.2291)0.1001 (0.1982)0.4480 (0.3933)−0.0776 (0.2367)
Organizational innovation0.4063** (0.1999)0.7019* (0.3835)0.4255* (0.2474)−0.0859 (0.2058)0.2419 (0.4052)−0.1204 (0.2529)
Marketing innovation0.1228 (0.2115)0.4114 (0.3806)−0.0603 (0.2671)0.8896*** (0.2504)0.5097 (0.4183)1.0963*** (0.3198)
Log(Size)0.0980* (0.0563)−0.0128 (0.1032)0.0944 (0.0718)−0.0470 (0.0587)−0.0732 (0.1068)−0.0537 (0.0742)
Log(Age)−0.2461* (0.1261)−0.5225** (0.2440)−0.1693 (0.1534)−0.0839 (0.1308)−0.2394 (0.2548)−0.0447 (0.1594)
AIC949.4399273.9334671.1186875.8179251.2893625.7222
BIC995.9556308.9460713.8473922.3336286.3019668.4509
McFadden0.09310.14420.09400.09140.05670.1100
Log likelihood−464.7199−126.9667−325.5593−427.9089−115.6446−302.8611
Deviance929.4399253.9334651.1186855.8179231.2893605.7222
Num. obs.774245530774245530

Notes:

***p < 0.01; **p < 0.05; *p < 0.1

Source: Own elaboration

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