Long-run relationship between output, capital, labour and productivity in emerging market economies

Badri G Narayanan ()

Applied Economics, 2010, vol. 42, issue 6, 759-768

Abstract: Long-run relationship between the variables involved in the production function is an issue that is important particularly in developing countries, as the neoclassical production function is best suited for developed countries and its applicability to developing countries is questionable in various ways. This motivates us to do this based on time-series analysis, taking Indian textile industry as an example, which is currently at its crucial stage as a critical industry in an emerging economy, with the phasing out of Multi Fibre Arrangement in 2005. This study documents existence of cointegration between capital and output, negative impact of employment shocks on output changes, substitutability between changes in capital and labour, negative effect of shocks to changes in capital stock on productivity and negative effect of employment shocks on future productivity. These results are in line with the general perceptions about this industry and with the standard neoclassical propositions, as explained in this article.

Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00036840701720838 (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:taf:applec:v:42:y:2010:i:6:p:759-768

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036840701720838

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().