The spatial distribution of self-employment in India: evidence from semi-parametric geoadditive models

Jagannadha P. Tamvada*

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

The spatial distribution of self-employment in India: evidence from semiparametric geoadditive models, Regional Studies. The entrepreneurship literature has rarely considered spatial location as a micro-determinant of occupational choice. It has also ignored self-employment in developing countries. Using Bayesian semiparametric geoadditive techniques, this paper models spatial location as a micro-determinant of self-employment choice in India. The empirical results suggest the presence of spatial occupational neighbourhoods and a clear north–south divide in self-employment when the entire sample is considered; however, spatial variation in the non-agriculture sector disappears to a large extent when individual factors that influence self-employment choice are explicitly controlled. The results further suggest non-linear effects of age, education and wealth on self-employment.

Original languageEnglish
Pages (from-to)300-322
Number of pages23
JournalRegional studies
Volume49
Issue number2
Early online date24 Apr 2013
DOIs
Publication statusPublished - 2015

Keywords

  • Bayesian semiparametric methods
  • developing countries
  • entrepreneurship
  • geoadditive models
  • self-employment

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