EconPapers    
Economics at your fingertips  
 

Industrial and Spatial Spillovers and Productivity Growth: Evidence from Taiwan High-Technology Plant Level Data

Diana Tsai () and Marc Lin ()

Journal of Productivity Analysis, 2005, vol. 23, issue 1, 109-129

Abstract: The purpose of this paper is to recognize the importance of innovation networks and incorporate various types of knowledge and spatial spillovers and their associated adjustments on productivity growth. We explore the temporal, spatial, and industrial/sectoral spillovers using a dynamic external spillover model that assumes each firm derives an optimal plan such that the expected present value of current and future cost streams is minimized. The goal is to measure and evaluate various types of spillover mechanisms, which allow us both to quantify their cost effects and evaluate the contribution of such inter-dependencies on productive performance. Copyright Springer Science+Business Media, Inc. 2005

Keywords: high-technology innovation; industrial spillovers; spatial spillovers; temporal spillovers; Taiwan high-technology industries (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://hdl.handle.net/10.1007/s11123-004-8550-4 (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:23:y:2005:i:1:p:109-129

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

DOI: 10.1007/s11123-004-8550-4

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:23:y:2005:i:1:p:109-129