Do We Share the Same Destiny? An Empirical Study on the Convergence of Growth Among Indian States

Sattwik Santra and Samarjit Das ()
Additional contact information
Sattwik Santra: Centre for Training and Research in Public Finance and Policy, Centre for Studies in Social Sciences
Samarjit Das: Indian Statistical Institute, Economic Research Unit

A chapter in Advances in Growth Curve and Structural Equation Modeling, 2018, pp 59-70 from Springer

Abstract: Abstract The paper examines whether there is a convergence of per capita consumption, and state domestic product across the various states of India. We use a set of panel unit root tests including ones that are robust to cross-sectional dependence. We find that although there is some evidence in favor of convergence in per capita consumption, the state domestic products in per capita terms of the Indian states exhibit non-convergence for all the tests. But there are certain state groups that exhibit intra-group convergence for all the variables considered for all the tests. The results indicate exacerbating overall inter-state inequality prospects on one hand, and a bunching of the states in terms of the overall economic performance on the other.

Keywords: Growth convergence; Empirical methodology; Panel unit root; Cross-sectional dependence (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-13-0980-9_4

Ordering information: This item can be ordered from
http://www.springer.com/9789811309809

DOI: 10.1007/978-981-13-0980-9_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().