Decomposition of Ethnic Heterogeneity on Growth
Eiji Yamamura () and
Inyong Shin
Comparative Economic Studies, 2013, vol. 55, issue 1, 59-75
Abstract:
Ethnic heterogeneity influences economic growth through various channels such as efficiency improvement and capital accumulation. However, it is not settled exactly as to how ethnic heterogeneity affects these channels. Hence, this paper attempts to examine the effects of heterogeneity on economic growth using data envelopment analysis. The empirical results of the estimations show that heterogeneity has a negative effect on efficiency improvements. However, heterogeneity has no effect on capital accumulation. This implies that ethnic heterogeneity hinders positive externalities such as information spillovers, which hampers economic growth.
Date: 2013
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.palgrave-journals.com/ces/journal/v55/n1/pdf/ces201237a.pdf Link to full text PDF (application/pdf)
http://www.palgrave-journals.com/ces/journal/v55/n1/full/ces201237a.html Link to full text HTML (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Decomposition of ethnic heterogeneity on growth (2012) 
Working Paper: Decomposition of ethnic heterogeneity on growth (2012) 
Working Paper: Decomposition of ethnic heterogeneity on growth (2011) 
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:pal:compes:v:55:y:2013:i:1:p:59-75
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/41294/PS2
Access Statistics for this article
Comparative Economic Studies is currently edited by Nauro Campos
More articles in Comparative Economic Studies from Palgrave Macmillan, Association for Comparative Economic Studies Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().