On optimal long-term relationship between TFP, institutions, and income inequality under embodied technical progress
On optimal long-term relationship between TFP, institutions, and income inequality under embodied technical progress
We develop a simple optimal catch-up model under embodiment to study the potential long-term dynamic relationship between total factor productivity (TFP), institutional quality, and income inequality in the context of a developing economy. Assuming a proactive role of institution in the persistence of TFP and minimum inequality spread for social optimum, we quantify the extent to which embodiment characteristics determine the long-term dynamics among these factors. It is shown that the amelioration (deterioration) of institutional quality influences skilled labour mobility across sectors (in developing economies) thereby decreasing (increasing) long term income inequality. Long run scenarios are built using our model in which the production sophistication of the economy under embodiment is shown to be compatible with both better institutions and less income inequality. Quantile regression results for a sample of 27 developing countries over 1990–2010 provide broad support to the theoretical predictions. In particular, it is found that – along the distribution path of embodied technical progress – there is heterogeneous response of productivity growth to the inequality spread and innovation intensity. Our results have interesting policy implications
embodied technical change, inequality, development, institutional quality
89-100
Fuentes, Raul
5b15227d-08d1-45e0-ba7a-8714870ec1eb
Mishra, Tapas
218ef618-6b3e-471b-a686-15460da145e0
Parhi, Mamata
5e489f1d-9fe0-44b3-8027-bfa3ec6bfbd4
Scavia, Javier
3591756d-e581-4311-9e06-5928a48beaab
December 2014
Fuentes, Raul
5b15227d-08d1-45e0-ba7a-8714870ec1eb
Mishra, Tapas
218ef618-6b3e-471b-a686-15460da145e0
Parhi, Mamata
5e489f1d-9fe0-44b3-8027-bfa3ec6bfbd4
Scavia, Javier
3591756d-e581-4311-9e06-5928a48beaab
Fuentes, Raul, Mishra, Tapas, Parhi, Mamata and Scavia, Javier
(2014)
On optimal long-term relationship between TFP, institutions, and income inequality under embodied technical progress.
Structural Change and Economic Dynamics, 31, .
(doi:10.1016/j.strueco.2014.08.003).
Abstract
We develop a simple optimal catch-up model under embodiment to study the potential long-term dynamic relationship between total factor productivity (TFP), institutional quality, and income inequality in the context of a developing economy. Assuming a proactive role of institution in the persistence of TFP and minimum inequality spread for social optimum, we quantify the extent to which embodiment characteristics determine the long-term dynamics among these factors. It is shown that the amelioration (deterioration) of institutional quality influences skilled labour mobility across sectors (in developing economies) thereby decreasing (increasing) long term income inequality. Long run scenarios are built using our model in which the production sophistication of the economy under embodiment is shown to be compatible with both better institutions and less income inequality. Quantile regression results for a sample of 27 developing countries over 1990–2010 provide broad support to the theoretical predictions. In particular, it is found that – along the distribution path of embodied technical progress – there is heterogeneous response of productivity growth to the inequality spread and innovation intensity. Our results have interesting policy implications
Text
Mishra-SCED-2014.pdf
- Version of Record
Restricted to Repository staff only
Request a copy
More information
Accepted/In Press date: 15 August 2014
Published date: December 2014
Keywords:
embodied technical change, inequality, development, institutional quality
Organisations:
Southampton Business School
Identifiers
Local EPrints ID: 380122
URI: http://eprints.soton.ac.uk/id/eprint/380122
ISSN: 0954-349X
PURE UUID: 8430490a-d03e-436e-be17-ce6ac81fcd33
Catalogue record
Date deposited: 03 Sep 2015 13:30
Last modified: 15 Mar 2024 03:51
Export record
Altmetrics
Contributors
Author:
Raul Fuentes
Author:
Mamata Parhi
Author:
Javier Scavia
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