Professor Anurag Banerjee a.n.banerjee@durham.ac.uk
Professor
Is India shining?
Banerjee, Anurag; Banik, Nilanjan
Authors
Nilanjan Banik
Abstract
In India, the popular perception is economic reforms have benefited the rich more than the poor leading to an unequal income distribution, as in Quah's twin peaks hypothesis. In this article we test this hypothesis by studying the spatial dynamics of income distribution. Using district-level per-capita income we find that the income distribution has not changed. The perception about economic reforms having benefitted only the rich is not correct because income growth across districts is positively correlated spatially. Thus there is a positive spatial multiplier effect on income and growth. In addition, we also identify physical infrastructure, human capital, and factories, as factors responsible for increase in income for both the rich, and the poor districts.
Citation
Banerjee, A., & Banik, N. (2011). Is India shining?
Working Paper Type | Working Paper |
---|---|
Publication Date | Feb 16, 2011 |
Deposit Date | Dec 7, 2012 |
Publicly Available Date | Dec 7, 2012 |
Series Title | Durham University Business School Economics Finance Accounting Working Papers |
Keywords | Districts of India, Income, Moran’s Index, Spatial analysis, JEL classifcation: C31 R12. |
Public URL | https://durham-repository.worktribe.com/output/1699604 |
Publisher URL | http://www.dur.ac.uk/business/faculty/working-papers/ |
Files
Published Working Paper
(356 Kb)
PDF
You might also like
Cross-country Disparities in Skill Premium and Skill Acquisition
(2022)
Journal Article
Probabilistic Forecasting of Bubbles and Flash Crashes
(2020)
Journal Article
The Endgame
(2019)
Journal Article
Demand for household sanitation in India using NFHS-3 data
(2017)
Journal Article
Analysis of hydrodilatation as part of a combined service for stiff shoulder
(2017)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search