EconPapers    
Economics at your fingertips  
 

International knowledge spillover through trade: A time-varying spatial panel data approach

Chun-Yu Ho (), Wei Wang and Jihai Yu ()

Economics Letters, 2018, vol. 162, issue C, 30-33

Abstract: This paper empirically examines international knowledge spillover through bilateral trade. We extend the knowledge production function using a spatial autoregressive term and time-varying weights matrices, and we estimate this model using a sample of 30 countries over the period 1975–2010. We find that there is a positive spillover effect of innovation from one country to its trade partners through bilateral import flows. The spillover effect accounts for approximately 1.3%–3.6% of the total effect of R&D input on innovation output over time.

Keywords: Innovation; Spillover; Spatial autoregression (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176517304317
Full text for ScienceDirect subscribers only

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:eee:ecolet:v:162:y:2018:i:c:p:30-33

DOI: 10.1016/j.econlet.2017.10.015

Access Statistics for this article

Economics Letters is currently edited by Economics Letters Editorial Office

More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Haili He ().

 
Page updated 2020-11-07
Handle: RePEc:eee:ecolet:v:162:y:2018:i:c:p:30-33