Social networks and labour productivity in Europe: an empirical investigation |
| |
Authors: | C Di Guilmi F Clementi T Di Matteo M Gallegati |
| |
Institution: | 1. Department of Economics, Polytechnic University of Marche, Piazzale R. Martelli 8, 60121, Ancona, Italy 2. Applied Mathematics, Research School of Physical Sciences and Engineering, The Australian National University, Canberra, 0200, Australia
|
| |
Abstract: | This paper uses firm-level data recorded in the Amadeus database to investigate the distribution of labour productivity in different European countries. We find that the upper tail
of the empirical productivity distributions follows a decaying power-law, whose exponent α is obtained by a semi-parametric estimation technique recently developed by Clementi et al. Physica A 370(1):49–53, 2006].
The emergence of “fat tails” in productivity distribution has already been detected in Di Matteo et al. Eur Phys J B 47(3):459–466,
2005] and explained by means of a model of social network. Here we show that this model is tested on a broader sample of countries
having different patterns of social network structure. These different social attitudes, measured using a social capital indicator,
reflect in the power-law exponent estimates, verifying in this way the existence of linkages among firms’ productivity performance
and social network. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|