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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
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
0034-3404
300-322
Tamvada, Jagannadha Pawan
767d0374-3cc1-4822-adb6-f22b7a1f6531
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), 300-322. (doi:10.1080/00343404.2013.779656).

Record type: Article

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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More information

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
ORCID for Jagannadha Pawan Tamvada: ORCID iD orcid.org/0000-0002-1225-3174

Catalogue record

Date deposited: 15 Jul 2013 13:38
Last modified: 19 Feb 2021 02:43

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