The spatial distribution of self-employment in India: evidence from semiparametric geoadditive models
The spatial distribution of self-employment in India: evidence from semiparametric geoadditive models
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.
entrepreneurship, self-employment, developing countries, bayesian semiparametric methods, geoadditive models
300-322
Tamvada, Jagannadha Pawan
767d0374-3cc1-4822-adb6-f22b7a1f6531
2015
Tamvada, Jagannadha Pawan
767d0374-3cc1-4822-adb6-f22b7a1f6531
Tamvada, Jagannadha Pawan
(2015)
The spatial distribution of self-employment in India: evidence from semiparametric geoadditive models.
Regional Studies, 49 (2), .
(doi:10.1080/00343404.2013.779656).
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.
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e-pub ahead of print date: 25 April 2013
Published date: 2015
Keywords:
entrepreneurship, self-employment, developing countries, bayesian semiparametric methods, geoadditive models
Organisations:
Centre for Innovation & Enterprise
Identifiers
Local EPrints ID: 354498
URI: http://eprints.soton.ac.uk/id/eprint/354498
ISSN: 0034-3404
PURE UUID: db5c641e-fb49-4f91-bb9c-4a87b79dfd22
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Date deposited: 15 Jul 2013 13:38
Last modified: 15 Mar 2024 03:48
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