2011
DOI: 10.2139/ssrn.1720717
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Creative Destruction and Finance: Evidence from the Last Half Century

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Cited by 6 publications
(5 citation statements)
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“…For example, Acs and Audretsch () show that small firms have rates of innovation per employee that are far greater (i.e., 6.64 times) than those of large firms in the innovative industries in their sample. Furthermore, small firms, relying heavily on external equity finance, appear to be particularly important for creative destruction (e.g., Brown and Petersen () and Liang, McLean, and Zhao ()). Thus, our evidence linking stock markets and R&D across countries suggests that market‐based systems may have a significant advantage in generating growth through a process of creative destruction driven by the innovation of young and small firms.…”
Section: Discussionmentioning
confidence: 99%
“…For example, Acs and Audretsch () show that small firms have rates of innovation per employee that are far greater (i.e., 6.64 times) than those of large firms in the innovative industries in their sample. Furthermore, small firms, relying heavily on external equity finance, appear to be particularly important for creative destruction (e.g., Brown and Petersen () and Liang, McLean, and Zhao ()). Thus, our evidence linking stock markets and R&D across countries suggests that market‐based systems may have a significant advantage in generating growth through a process of creative destruction driven by the innovation of young and small firms.…”
Section: Discussionmentioning
confidence: 99%
“…Our measure of target financial independence is inspired by a similar measure in Liang, McLean, and Zhao (). To measure it, we start with the target's sources and uses of cash.…”
Section: Sample and Main Variablesmentioning
confidence: 99%
“…For example,Kelly and Pruitt (2012) report that their three-pass regression filter beats other estimators with an out-of-sample  2 of between 0.44% and 0.76% for monthly returns(Table 1of their paper). For exactly the same evaluation period,  's out-of-sample  2 is 0.99%.9 In fact,   is similar to measures of creative destruction inFogel, Morck, and Yeung (2008) andLiang, McLean, and Zhao (2011), who use measures of churn of the largest firms based on revenues or employees, rather than market capitalization.…”
mentioning
confidence: 97%