Abstract
The Italian North-East district is a clear evidence of the presence of productive chain networks, in which firms tend to specialize in specific risk management. This generates new approaches in the theory of the firm. We investigate which are the implications for the financial activities of the clusters. The paper presents a methodology to identify firms according to their network role: LF, SF and standing alone firms (SA). Accordingly, empirical evidence about the capital raising activity of LF, SF and SA is reported, deploying the necessity of a new approach in finance, where “corporation” is no more the focus.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Barney, J.B., Ouchi, W.G.: Organizational Economics. Jossey-Bass, San Francisco (1986)
Coase, R.H.: The nature of the firm. Econ., N. S. 4(16), 386–405 (1937)
Gurisatti, P.: MBA Lecture. @FAU in UCF-Venice (2013)
Mantovani, M.G., Daniotti, E.: Valori e Capitali per un Nuovo Patto di Sviluppo del Sistema—il Caso Treviso. Edizioni Ca’ Foscari (2012)
Mantovani, G.M., Mestroni, M., Basilico, E.: Which is worth more for the merit of credit? What a company did or what it will do in the future? Evidence from the credit system in the North Eastern Italian District. Working Paper (2013)
Nkongolo-Bakenda, J.-M.: Inter-firm networking propensity in small and medium-sized enterprises (SMEs). J. Entrep. Finance 7(1), 99–119 (2002)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Mestroni, M., Basilico, E., Mantovani, G.M. (2014). Corporate Finance… What Else? The Case of the Productive Chain Networks in North-East Italy and the Scaffolding Finance Adopted by Their Leader. In: Perna, C., Sibillo, M. (eds) Mathematical and Statistical Methods for Actuarial Sciences and Finance. Springer, Cham. https://doi.org/10.1007/978-3-319-05014-0_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-05014-0_33
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05013-3
Online ISBN: 978-3-319-05014-0
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)