Srusti Management Review

A Journal of Management & IT

ISSN NO: 0974-4274(PRINT), ISSN NO: 2582-1148(ONLINE)Listed in Ulrich's Periodicals Directory, INDEXED IN J-GATE E-JOURNAL GATEWAY, EBSCOHOST, PROQUEST, U.S.A. & GOOGLE SCHOLAR A Peer Reviewed and Refereed Journal

Sustainable Growth in India: Study of Converging Regional Incomes

Year 2014
Volume/Issue/Review Month Vol. - VII | Issue II | July - December
Title Sustainable Growth in India: Study of Converging Regional Incomes
Authors Abhishek Behl , Dr. Manju Singh
Broad area Sustainable Growth in India: Study of Converging Regional Incomes
Abstract
Increasing economic disparities among both people and regions are always an issue of great concern. Reducing
regional economic disparity and ensuring balanced development is crucial in maintaining political stability of countries
with federal polity. The findings of studies concerning regional disparities are thus essential in the promotion of
balanced regional development. A study of this kind assumes special significance for India as the sustainability of
growth momentum of one of the fast growing economies of the world relies on the political stability of Indian federal
polity. The research outcome of regional disparity analysis is, however, often ambiguous and is not robust to choice
of strategies, namely â and ó convergence analysis. The regression based theoretically appealing â convergence
approach has not given adequate attention to spatial effects. This study estimated parameters of Bayesian Spatial
Durbin Model using state wise real per capita Gross State Domestic Product (GSDP) data computed from Central
Statistical Organization (CSO) during the period 1980 – 2010. The study concludes that the later reform period has
witnessed beta convergence due to feedback effect. The debate of convergence of â in Indian scenario is explained
using inclusion of spatial effects in this study.
Description Increasing economic disparities among both people and regions are always an issue of grave concern. b Reducing regional economic disparity and ensuring balanced development is crucial in maintaining political stability of countries with federal polity. Th
File
Referenceses
  • 1. Barro R.J. and X. Sala-I-Martin, 1992. Convergence.
  • Journal of Political Economy 100(2), 223-251p
  • 2. Barro R.J. and X. Sala-i-Martin, 1995. Economic
  • Growth. MIT Press:Cambridge
  • 3. Basile, R., 2008. Regional economic growth in
  • Europe: A semiparametric spatial dependence
  • approach. Papers in Regional Science 87 (4), 527–
  • 544p
  • 4. Egger P. and M. Pfaffermayr, 2006. Spatial
  • convergence. Papers in Regional Science 85 (2),
  • 199–215p
  • 5. Ertur C. and W. Koch, 2007. Growth, technological
  • interdependence and spatial externalities: theory and
  • evidence. Journal of Applied Econometrics 22, 1023–
  • 1062p
  • 6. Fingleton B. and E. López-Bazo, 2006. Empirical
  • growth models with spatial effects. Papers in
  • Regional Science 85 (2), 177–198p
  • 7. Fischer M.M., 2010. A spatial Mankiw–Romer–Weil
  • model: The Annals of Regional Science. Published
  • online, DOI.doi:10.1007/s00168-010-0384-6
  • 29
  • 8. Gelfand A.E. and D. Dey, 1994. Bayesian model
  • choice: asymptotic and exact calculations. Journal
  • of the Royal Statistical Society B 56, 501–514p
  • 9. Geweke J., 1993. Bayesian treatment of the
  • independent Student-t linear model. Journal of Applied
  • Econometrics 8, 19–40p
  • 10. Kakamu K., 2009. Small sample properties and
  • model choice in spatial models: a Bayesian
  • approach. Far East Journal of Applied Mathematics
  • 34 (1), 31– 56p
  • 11. LeSage J.P., 1997. Bayesian estimation of spatial
  • autoregressive models. International Regional
  • Science Review 20, 113–129p
  • 12. LeSage J.P., and M.M. Fischer, 2008. Spatial growth
  • regressions: model specification, estimation and
  • interpretation. Spatial Economic Analysis 3 (3), 275–
  • 304p
  • 13. LeSage J.P., and R.K. Pace, 2009. Spatial
  • Econometric Toolbox for MATLAB, Retrieved http://
  • www.Spatial-Econometrics.com/html/jplv7.zip
  • 14. López-Bazo E., Vayá E., and M. Artís, 2004.
  • Regional externalities and growth: evidence from
  • European regions. Journal of Regional Science 44
  • (1), 43– 73p
  • 15. Lopez-Rodriguez J., 2008. Regional convergence in
  • the European Union: results from a panel data
  • model. Economics Bulletin 18 (2), 1–7p
  • 16. Mankiw N.G., Romer D. and D.N. Weil, 1992. A
  • contribution to the empirics of economics growth.
  • Quarterly Journal of Economics 107 (2), 407–437p
  • 17. Ministry of Statistics and Programme
  • Implementation. State Domestic Product. (2012).
  • Gross State Domestic Product at factor cost, 1980-
  • 2013 [Data file]. Retrieved from http://mospi.nic.in/
  • Mospi_New/upload/SDPmain_04-05.htm
  • 18. Pace R.K., R. Barry, J.M. Clapp, and M. Rodriquez,
  • 1998. Spatiotemporal autoregressive models of
  • neighborhood effects. The Journal of Real Estate
  • Finance and Economics 17 (1), 15–33p
  • 19. Parent O. and J.P. LeSage, 2010. Spatial dynamic
  • panel data models with random effects. Presented
  • at the Fourth World Conference of the Spatial
  • Econometrics Association, Chicago, 9–12 June,
  • 2010
  • 20. Sala-i-Martin X., 1996. Regional cohesion: Evidence
  • and theories of regional growth and convergence.
  • European Economic Review 40, 1325-1352p
  • 21. Seya H., M.Tsutsumi, and Y. Yamagata, 2012.
  • Income convergence in Japan: A Bayesian spatial
  • Durbin model approach. Economic Modeling 29(1),
  • 60-71p
  • 22. Watanabe T., 2001. On sampling the degree-offreedom
  • of Student’s-t disturbances. Statistics &
  • Probability Letters 52, 177–181p