dissertation in pdf-format - Aalto-yliopisto
dissertation in pdf-format - Aalto-yliopisto
dissertation in pdf-format - Aalto-yliopisto
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good measure of IPR activity <strong>in</strong> metal products and motor vehicles, car and motor <strong>in</strong>dustries where<br />
firms clearly show an above-average propensity to <strong>in</strong>troduce product and process <strong>in</strong>novations<br />
(Huergo and Jaumandreu, 2004). In this study, branch of <strong>in</strong>dustry will be analysed through<br />
univariate statistics because of the small amount of observations <strong>in</strong> some branches of <strong>in</strong>dustry<br />
(Table 1). Thus, based on the assumptions of resource–munificence and regional competitiveness<br />
theories, it is believed that firms <strong>in</strong> urban areas produce more IPRs than their counterparts <strong>in</strong> rural<br />
areas. This leads to the follow<strong>in</strong>g hypothesis:<br />
H1.Firm location has an impact on the <strong>in</strong>novation activity (IPRs) of grow<strong>in</strong>g SMEs.<br />
2.2 Size, age and <strong>in</strong>novativeness<br />
The relationships between size, age, <strong>in</strong>novations and performance of a firm have long been debated<br />
<strong>in</strong> <strong>in</strong>novation and growth studies. Many empirical studies test the Schumpeterian hypothesis that<br />
large firms tend to have a resource advantage to exploit new technology compared with small ones<br />
(Acs and Audretsch, 1988; Battacharya and Bloch, 2004; Cohen, 1995; Freeman and Soete, 1997;<br />
Santarelli and Piergiovanni, 1996; Tether, 1998). Bouwer and Kle<strong>in</strong>knecht (1999) confirmed that<br />
large firms have a greater probability of seek<strong>in</strong>g patent protection. Kohn and Scott (1982) showed<br />
that a relatively strong resource base of R&D <strong>in</strong>puts does not necessarily imply the existence of<br />
scale economies <strong>in</strong> produc<strong>in</strong>g <strong>in</strong>novative output. Small firms are often structurally less complex or<br />
have less hierarchical organizations and management, and thus they may have more flexibility and<br />
time advantages <strong>in</strong> adjust<strong>in</strong>g their resources.<br />
Tether (1998) found that the average value of <strong>in</strong>novations varied systematically with the size of<br />
the firm. Large enterprises were responsible for almost all the high-value <strong>in</strong>novations, whilst most of<br />
the lower-value <strong>in</strong>novations were <strong>in</strong>troduced by small bus<strong>in</strong>esses. Nelson (1993) proposed that new<br />
and small firms have <strong>in</strong>troduced extremely high- value R&D outputs, too. There is some evidence<br />
that the propensity to create <strong>in</strong>novations from patents <strong>in</strong>creases with the firm’s annual sales growth<br />
(Arundel and Kabla, 1998). This f<strong>in</strong>d<strong>in</strong>g l<strong>in</strong>ks the size, <strong>in</strong>novations and growth of the firm.<br />
In prior studies, the size of the firm and its connection to growth, have been tested separately by<br />
apply<strong>in</strong>g the Gibrat’s law of proportionate growth. Gibrat’s law assumes that size is not correlated<br />
with growth and that growth follows a random walk. However, the results of numerous empirical<br />
studies suggest that firm growth decreases with the size of the firm (Almus and Nerl<strong>in</strong>ger, 2000).<br />
Based on the assumption that the propensity to create <strong>in</strong>novations from patents <strong>in</strong>creases with the