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Four Essays on University Economics - KOPS - Universität Konstanz

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Ec<strong>on</strong>omic research in Switzerland<br />

six universities, output differences do not translate into differences in research productivity.<br />

In order to compute research productivity which is, arguably, the most important indicator<br />

for managerial decisi<strong>on</strong>s, a measure of input in research producti<strong>on</strong> is needed. A natural<br />

measure would be costs. Unfortunately, Swiss universities are still not in a positi<strong>on</strong> to<br />

provide full cost accounting informati<strong>on</strong>. Lacking this kind of informati<strong>on</strong>, a sec<strong>on</strong>d best<br />

alternative that is often used is to compute average productivity in terms of employed<br />

manpower. Even though this approach is, in principle, practicable, some serious problems<br />

arise n<strong>on</strong>etheless. The first <strong>on</strong>e is that the often-used method of measuring the size of an<br />

ec<strong>on</strong>omics department with the number of full professors is inadequate since the relevant<br />

research output is not <strong>on</strong>ly produced by full professors. As a matter of fact, it appears<br />

that the observed increase in research output is, to a substantial extent, due to the fact<br />

that junior researchers have become much more productive in the observati<strong>on</strong> period. To<br />

establish the number of all researchers who worked in the six departments for the 15 years<br />

covered in our survey is, however, bey<strong>on</strong>d the grasp of this exploratory study. A further<br />

problem that would have to be dealt with in a serious investigati<strong>on</strong> of research productivity<br />

is the fact that researchers specializing in fields other than ec<strong>on</strong>omics (mathematicians,<br />

political scientists, psychologists, sociologists, etc.) also c<strong>on</strong>tribute to ec<strong>on</strong>omic research.<br />

To identify these researchers and to measure the time they use for ec<strong>on</strong>omic research is a<br />

real challenge. We do not want to disregard all these issues by using some readily available<br />

but rather meaningless figures. Therefore, we leave this issue to be resolved by a future<br />

investigati<strong>on</strong> that would have to draw <strong>on</strong> the support of the assessed instituti<strong>on</strong>s. 17<br />

1.4 Journal Proliferati<strong>on</strong> and the Development of Research<br />

quality<br />

1.4.1 Journal Proliferati<strong>on</strong><br />

The increase in ec<strong>on</strong>omic research activity in Switzerland as described in secti<strong>on</strong> 1.3 may,<br />

to some extent at least, be attributed to the fact that during the observati<strong>on</strong> period the<br />

publicati<strong>on</strong> behavior was subject to a substituti<strong>on</strong> process favoring journal publicati<strong>on</strong>s<br />

17 Most scientometric studies dealing with research activity restrict themselves, presumably for the reas<strong>on</strong>s<br />

given above, to measuring output. A notable excepti<strong>on</strong> is again the study by Combes and Linnemer<br />

(2003). Their input measure appears, however, to be somewhat suspect (see Ursprung, 2003, p. 185).<br />

12

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