How enterprise strategies are related to innovation and productivity change: An empirical study of Japanese manufacturing firms

Hidemichi Fujii, Edamura Kazuma, Koichi Sumikura, Yoko Furusawa, Naomi Fukuzawa and Shunsuke Managi

MPRA Paper from University Library of Munich, Germany

Abstract: This study analyzes the total factor productivity of 1,067 Japanese manufacturing firms. In production estimation, we employ the directional distance function and Luenberger productivity indicator. Research and development strategy survey data are used to analyze the determinant factors related to improvements in innovation and productivity. Our results indicate that increasing technology and knowledge through a “black box” process is related to an increase in productivity. Furthermore, the protection and management of production knowledge and expertise is a valid method of increasing global technical change.

Keywords: Innovation; productivity change; R&D strategy; directional distance function; Japanese manufacturing firms (search for similar items in EconPapers)
JEL-codes: D24 J24 O38 O47 (search for similar items in EconPapers)
Date: 2014
New Economics Papers: this item is included in nep-cse, nep-eff, nep-ino, nep-knm and nep-sbm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/57996/1/MPRA_paper_57996.pdf original version (application/pdf)

Related works:
Journal Article: How enterprise strategies are related to innovation and productivity change: an empirical study of Japanese manufacturing firms (2015)
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:pra:mprapa:57996

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().