Spatial Variations of ß-Convergence Coefficient in Asia (The GWR Approach)

Shekoofeh Farahmand (), Majid Sameti and Seyed Salahaldin Sasan
Additional contact information
Shekoofeh Farahmand: Department of Economics, University of Isfahan, Isfahan, Iran.
Majid Sameti: Department of Economics, University of Isfahan, Isfahan, Iran.
Seyed Salahaldin Sasan: Department of economics, University of Nice-Sophia Antipolis, CEMAFI, Nice, France

Iranian Economic Review (IER), 2014, vol. 18, issue 1, 81-101

Abstract: The economic convergence concept arises from the Solow-Swan growth model. Accordingly, two hypotheses are considered: absolute and conditional convergence. The first implies the convergence of economies towards a steady-state. The second hypothesis is based on the convergence of each economy toward its own steady-state. Indeed, it refers to different structures of economies. In experimental studies, for testing the conditional hypothesis, different determinants are entered in the growth model to capture the differences in structures. However, one coefficient is estimated for ß-convergence and one convergence speed is obtained. This paper examines the convergence hypotheses for Asian countries over the period of 1999-2009 using the geographically weighted regression (GWR) approach. GWR provides useful means for dealing with spatial variation in convergence speed. In this way, convergence coefficients can be computed for considered countries. The results show that, speed of convergence varies over different countries. Also, the spatial variation of steady- state incomes is significant.

Keywords: Solow-Swan Growth Model; ß-Convergence; Spatial Variations; GWR. (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
ftp://80.66.179.253/eut/journl/20141-5.pdf (application/pdf)

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:eut:journl:v:18:y:2014:i:1:p:81

Access Statistics for this article

Iranian Economic Review (IER) is currently edited by Dr.Hossien Abbasinejad

More articles in Iranian Economic Review (IER) from Faculty of Economics,University of Tehran.Tehran,Iran Contact information at EDIRC.
Bibliographic data for series maintained by [z.rahimalipour] ().