Cluster analysis: Application to sector indices and empirical validation

Boillat, Pierre-Yves; Skowronski, Nicolas de; Tuchschmid, Nils S.

doi:10.1007/s11408-002-0403-4

Cited by 13 publications

(8 citation statements)

References 8 publications

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“…The results obtained in this study are in line with those obtained by other papers describing the structure of the main North American companies. In most cases, cluster formation is as expected and in line with other studies (see Boillat et al 2002 and references therein). For example, the financial sector is close to the insurance sector and the pharmaceuticals sector is close to the healthcare sector.…”

Section: Discussionsupporting

confidence: 91%

Dynamics and Structure of the 30 Largest North American Companies

Brida

Risso

2009

Comput Econ

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Section: Discussionsupporting

confidence: 91%

Dynamics and Structure of the 30 Largest North American Companies

Brida

Risso

2009

Comput Econ

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“…As shown by many previous studies aiming to solve similar research problems (e.g. Cinca et al 2005;Gupta, Huefner 1972;Leal, Powers 1997;Sell 2005;Helg et al 1995;Boillat et al 2002), the methods of multivariate statistical analysis provide an effective tool of identifying the most important regularities within such data sets.…”

Section: Methodsmentioning

confidence: 99%

Corporate Size–Performance Relation across Countries and Industries: Findings from the European Union

Koralun-Bereźnicka

2016

IJoES

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“…However, although the clustering method is relatively easy to understand, the same is not always true of the results [19]. Accordingly, caution is needed when interpreting the results because it is difficult to manage all the mechanisms involved in cluster formation.…”

Section: Empirical Analysismentioning

confidence: 99%

Technology clustering: The case of Greece

Michaelides

Belegri-Roboli

2009

2009 Atlanta Conference on Science and Innovation Policy

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Abstract-In the globalization era, economic research has consistently shown that innovation effects tend to be clustered. Greece is among the oldest members of the E.U., one of the laggards in productivity and competitiveness in the wider E.U. and ranks very low in attracting foreign investments. In this paper, the various sectors of economic activity in Greece have been assembled into clusters presenting similar technology and growth characteristics which have a significant influence upon the productivity and competitiveness of the economy, by applying the Cluster Analysis methodology. In this way, the twenty-one sectors of economic activity are divided into three main sectors (i.e. primary, secondary, and tertiary) which are, in general terms, consistent with the structure of the total economy. Finally, some comments are made concerning policy issues for Greece.

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Cluster analysis: Application to sector indices and empirical validation

Cited by 13 publications

References 8 publications

Dynamics and Structure of the 30 Largest North American Companies

Dynamics and Structure of the 30 Largest North American Companies

Corporate Size–Performance Relation across Countries and Industries: Findings from the European Union

Technology clustering: The case of Greece

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