Identyfikacja klastrów w oparciu o strukturę nakładów i wyników

• Autorzy: Henryk Gurgul , Paweł Majdosz

Warianty tytułu

Input-Output Table Based Method of Cluster Identification

• Języki publikacji: PL

Abstrakty

W artykule tym omówiono najczęściej stosowane w praktyce metody identyfikowania klastrów na podstawie tablic input-output oraz zaproponowano metodę triangulizacji, która umożliwia wykrywanie powiązań istniejących między dobrze zdefiniowanymi klastrami lub między sektorami należącymi do klastrów i spoza nich. Zastosowanie metody triangulizacji zilustrowano na przykładzie tablic przepływów międzygałęziowych dla polskiej gospodarki w 2000 roku w agregacji 55 x 55 sektorów. (abstrakt oryginalny)

EN

An idea beyond the triangulization method is that an intermediate demand should be categorized as an intra-cluster if it is large enough not only from economy-wide perspective. Also it should be considered as a significant one by both buyer and seller. Doing so, the triangulization method provides a better insight into the actual structure of economy by distinguishing between three types of links, namely intra-cluster flows, flows which take place between two sectors belonging to different clusters, and flows from sector within cluster to sector outside of clusters. It turned out that the triangulization method leads to the solution which is, at least, as good as those of the diagonalization method. In addition, the solution obtained by using this method is irrespective of applying the intermediate demand matrix, input coefficient matrix, or output coefficient matrix. On the other hand, when applying the Leontief inverse, the identified clusters are different compared to those in the case where we used one of the above-mentioned matrices. It is worth noting that clusters seem to be a quite important in the Polish economy. The sectors belonging to the clusters created approximately a 70 per cent of gross output in 2000, and a 60 per cent of value added, final consumption expenditures, import and export in the same year. However, this conclusion should be drawn with care due to the fact that the high aggregation (55 x 55 sectors) was used in this study. Therefore, this part of our investigation should be repeated in the future at low level of data aggregation as far as possible. (original abstract)

Słowa kluczowe

PL

Klastry; Przepływy międzygałęziowe

EN

Business cluster; Input−Output Model

• Czasopismo: Zeszyty Naukowe SGGW w Warszawie. Ekonomika i Organizacja Gospodarki Żywnościowej
• Rocznik: 2006
• Numer: nr 60
• Strony: 103--112

Twórcy

autor

Henryk Gurgul

• AGH Akademia Górniczo-Hutnicza w Krakowie

autor

Paweł Majdosz

• AGH Akademia Górniczo-Hutnicza w Krakowie

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