The University of Southampton
University of Southampton Institutional Repository

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.

This record has no associated files available for download.

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: 15 Mar 2024 03:48

Export record

Altmetrics

Contributors

Author: Jagannadha Pawan Tamvada ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×