EconPapers    
Economics at your fingertips  
 

Size and productivity: a conditional approach for Italian pharmaceutical sector

Pierluigi Toma ()
Additional contact information
Pierluigi Toma: University of Salento

Journal of Productivity Analysis, 2020, vol. 54, issue 1, No 1, 12 pages

Abstract: Abstract In this study, an appropriate nonparametric two-step approach to conditional efficiencies is used to investigate how size and time affect the performance of companies. Using a dataset of Italian manufacturing firms over the period 2006–2015, we explore the effect of size on the attainable production set (input-output space) and on the efficiency distribution, without making any a priori assumptions on the role of size on efficiency. Main findings suggest that size positively affects the efficiency of companies. By exploring the idiosyncratic efficiency, an additional empirical result from the conditional efficiency approach shows that the economic disparities between North, Centre and South of Italy not only limit the foreign investment but also seem to penalize the productivity of Italian-owned companies.

Keywords: Nonparametric approach; Nonparametric conditional efficiency; Size; Panel data; Pharmaceutical industry; Economic performance (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://link.springer.com/10.1007/s11123-020-00580-y Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:jproda:v:54:y:2020:i:1:d:10.1007_s11123-020-00580-y

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2

DOI: 10.1007/s11123-020-00580-y

Access Statistics for this article

Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski

More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:kap:jproda:v:54:y:2020:i:1:d:10.1007_s11123-020-00580-y