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internationalisation in science in the prism of bibliometric indicators

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log growth (92--99) smoo<strong>the</strong>d<br />

3,00<br />

2,50<br />

2,00<br />

1,50<br />

1,00<br />

0,50<br />

y = -0,0009x + 1,972<br />

R 2 = 0,6027<br />

GROWTH vs OUTPUT - OECD<br />

not represented: USA , Canada, Tchek R & Slovaquia<br />

0,00<br />

0,00 200,00 400,00 600,00 800,00 1000,00 1200,00<br />

publication output 92 smoo<strong>the</strong>d<br />

trend on unweighted data<br />

Fig.4. Growth vs. Output<br />

Source: ISI data, process<strong>in</strong>g OST and INRA<br />

World growth rate <strong>of</strong> publications cannot be <strong>in</strong>terpreted as such, s<strong>in</strong>ce it<br />

reflects <strong>the</strong> ISI database coverage policy. Only <strong>the</strong> country comparative trend<br />

should be considered, with respects to biases studied <strong>in</strong> literature.<br />

But <strong>the</strong> pace <strong>of</strong> catch-up is slow. If <strong>the</strong> coefficient <strong>of</strong> variation is<br />

decreas<strong>in</strong>g, standard deviation among countries rema<strong>in</strong>s practically<br />

stable. Given <strong>the</strong> skew distributions, weight<strong>in</strong>g by country size<br />

(output) does not allow to record a clear move. The hierarchy <strong>of</strong> per<br />

capita scientific output <strong>in</strong> OECD, with Nordic countries, Switzerland,<br />

and <strong>the</strong> US ahead, is not likely to be deeply altered <strong>in</strong> a midterm<br />

future. Interchanges <strong>in</strong> ranks <strong>of</strong> p.c. output are rare (Kendall tau>0.87<br />

for OECD, >0.88 for EU15).<br />

Evolution is similar <strong>in</strong> <strong>the</strong> EU15 sub-group: same relation between<br />

growth rates and output, evidence <strong>of</strong> decreas<strong>in</strong>g non-weighted CV but<br />

imperceptible down-trend <strong>of</strong> weighted <strong>in</strong>dicators. These results tend to<br />

confirm our earlier observations (1999b).<br />

These data on p.c. output tend to support <strong>the</strong> hypo<strong>the</strong>sis <strong>of</strong> a slow<br />

move towards evenness. Aga<strong>in</strong> results on citation data confirm <strong>the</strong><br />

slight progress <strong>in</strong> <strong>the</strong> reduction <strong>of</strong> <strong>in</strong>equalities.<br />

3. Convergence <strong>in</strong> <strong>the</strong>matic specialization<br />

The third aspect <strong>of</strong> homogeneity trend we consider here is <strong>the</strong><br />

convergence <strong>of</strong> scientific specialisation. If <strong><strong>in</strong>ternationalisation</strong> <strong>of</strong><br />

output is assimilated to homogenisation at <strong>the</strong> world level, its<br />

empirical measure is by and large a reduction <strong>of</strong> discrepancies among<br />

countries, <strong>in</strong>clud<strong>in</strong>g <strong>in</strong> <strong>the</strong>ir specialisation patterns. Scientific<br />

specialisation is a complex phenomenon, l<strong>in</strong>ked to <strong>in</strong>ternal dynamic<br />

factors and public policy choices comb<strong>in</strong>ed with agglomeration and<br />

learn<strong>in</strong>g processes. In some cases, comparative advantages <strong>in</strong> terms <strong>of</strong>

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