07.01.2013 Aufrufe

Festschrift für Fritz W. Scharpf - MPIfG

Festschrift für Fritz W. Scharpf - MPIfG

Festschrift für Fritz W. Scharpf - MPIfG

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90 I · Reformen und Innovationen<br />

are interested. Likewise, policy makers, investors and other users of social<br />

research into forms of capitalism probably want to know simply “is this<br />

economy like the USA or like Germany?” The labelling model is also of<br />

value when measuring instruments are crude. We do not have in the social<br />

sciences finely tuned ways of measuring how much of a particular element<br />

is to be found in something as complex as a national economy; we might<br />

however be able to say, broadly, what an economy is more or less “like” –<br />

in other words, which simple model it most resembles.<br />

Further – and this has been fundamental in turning many researchers towards<br />

a labelling approach – research strategies of this kind can apply reasonably<br />

rigorous statistical tests to data concerning a small number of cases<br />

(the small n problem in macro-comparative research). This has been particularly<br />

important in work on comparative capitalism. Is unemployment<br />

higher in liberal, conservative or social-democratic welfare states? Are exports<br />

higher in liberal or coordinated market economies? Chi-squared and<br />

other simple tests can be used to answer such questions among the very<br />

small n of all-OECD countries, provided cases can be seen as examples of<br />

models, and provided there is a very limited number of categories. This<br />

point also enables us to understand the reluctance of researchers to accept<br />

hybrid cases, otherwise the obvious bolt hole for those wishing to reconcile<br />

labelling and analysis. The Dutch and British welfare states may well be<br />

mixed examples of, respectively, continental and social-democratic, and liberal<br />

and social-democratic types. But if the researcher is trying to apply a<br />

chi-squared test they have to be put in one or another box or be excluded,<br />

reducing n. Hybrid cases quickly become treated as having a dominant feature<br />

plus a lot of noise, which is ignored.<br />

The disadvantages of this approach include obviously its crudeness, but<br />

also – and this is our fundamental concern – its incapacity to help us confront<br />

scope for change and innovation. Let us assume an actor-centred approach<br />

with knowledge being problematic for the actors. They will have<br />

easier access to knowledge which already exists in practical form close to<br />

them than to that which is remotely or only theoretically available. “Closeness”<br />

here means principally institutional closeness: the capacity of the actors<br />

to have access to the institution in which the relevant knowledge is embedded.<br />

The more heterogeneous the context within which actors operate,<br />

the more opportunity they will have of encountering practical knowledge<br />

which they have not used before in the immediate context, but which is part<br />

of the more general repertoire which is relatively accessible to them. This<br />

leads to the hypothesis: that institutional heterogeneity will facilitate inno-

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