Absorptive Capacity and Efficiency: A Comparative Stochastic Frontier Approach Using Sectoral Data
Letizia Montinari and
Michael Rochlitz ()
No 4/2012, Working Papers from IMT School for Advanced Studies Lucca
Abstract:
In this paper, we investigate differences in and determinants of technical efficiency across three groups of OECD, Asian and Latin American countries. As technical efficiency determines the capacity with which countries absorb technology produced abroad, these differences are important to understand differences in growth and productivity across countries, especially for developing countries which depend to a large extend on foreign technology. Using a stochastic frontier framework and data for 22 manufacturing sectors for 1996-2005, we find notable differences in technical efficiency between the three country groups we examine. We then investigate the effect of human capital and domestic R&D, proxied by the stock of patents, on technical efficiency. We find that while human capital has always a strongly positive effect on efficiency, an increase in the stock of patents has positive effects on efficiency in high-tech sectors, but negative effects in low-tech sectors.
Keywords: absorptive capacity; efficiency; stochastic frontier analysis (search for similar items in EconPapers)
JEL-codes: C33 O14 O33 (search for similar items in EconPapers)
Pages: 27 pages
Date: 2012-06, Revised 2012-06
References: View references in EconPapers View complete reference list from CitEc
Citations:
Published in EIC working paper series
Downloads: (external link)
http://eprints.imtlucca.it/1283/1/EIC_WP_4.pdf First version, 2012 (application/pdf)
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:ial:wpaper:4/2012
Access Statistics for this paper
More papers in Working Papers from IMT School for Advanced Studies Lucca Contact information at EDIRC.
Bibliographic data for series maintained by Leonardo Mezzina ().